Next Article in Journal
Molecular and Structural Evolution of Cytochrome P450 Aromatase
Next Article in Special Issue
Comprehensive Review on the Clinical Relevance of Long Non-Coding RNAs in Cutaneous Melanoma
Previous Article in Journal
Comprehensive Gene Expression Analyses of Immunohistochemically Defined Subgroups of Muscle-Invasive Urinary Bladder Urothelial Carcinoma
Previous Article in Special Issue
S-Adenosylmethionine Inhibits Cell Growth and Migration of Triple Negative Breast Cancer Cells through Upregulating MiRNA-34c and MiRNA-449a
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

The Functions and Unique Features of LncRNAs in Cancer Development and Tumorigenesis

by
Kenzui Taniue
1,2,* and
Nobuyoshi Akimitsu
1,*
1
Isotope Science Center, The University of Tokyo, 2-11-16, Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan
2
Cancer Genomics and Precision Medicine, Division of Gastroenterology and Hematology-Oncology, Department of Medicine, Asahikawa Medical University, 2-1 Midorigaoka Higashi, Asahikawa 078-8510, Hokkaido, Japan
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2021, 22(2), 632; https://doi.org/10.3390/ijms22020632
Submission received: 12 December 2020 / Revised: 5 January 2021 / Accepted: 7 January 2021 / Published: 10 January 2021

Abstract

:
Over the past decades, research on cancer biology has focused on the involvement of protein-coding genes in cancer development. Long noncoding RNAs (lncRNAs), which are transcripts longer than 200 nucleotides that lack protein-coding potential, are an important class of RNA molecules that are involved in a variety of biological functions. Although the functions of a majority of lncRNAs have yet to be clarified, some lncRNAs have been shown to be associated with human diseases such as cancer. LncRNAs have been shown to contribute to many important cancer phenotypes through their interactions with other cellular macromolecules including DNA, protein and RNA. Here we describe the literature regarding the biogenesis and features of lncRNAs. We also present an overview of the current knowledge regarding the roles of lncRNAs in cancer from the view of various aspects of cellular homeostasis, including proliferation, survival, migration and genomic stability. Furthermore, we discuss the methodologies used to identify the function of lncRNAs in cancer development and tumorigenesis. Better understanding of the molecular mechanisms involving lncRNA functions in cancer is critical for the development of diagnostic and therapeutic strategies against tumorigenesis.

1. Introduction

The central dogma that ‘DNA makes RNA, and RNA makes protein’ [1,2] has proposed that genetic information is stored in protein-coding genes, which are the conventional targets in cancer biology [3,4]. Multiple studies have shown that somatic mutations in protein-coding genes are the driving force of cancer development [5,6]. For several decades, most of the non-protein-coding region of the human genome has been considered junk DNA [7]. However, over the past decade, massive parallel sequencing technology has revealed that most the human genome is dynamically and differentially transcribed into noncoding RNAs (ncRNAs); this includes long ncRNAs (lncRNAs) [3,8,9]. LncRNAs are defined as RNAs larger than 200 bp that appear to have little or no coding potential [3,10,11,12]. Recent evidence from numerous studies has suggested that the complex processes regulating cancer development are not only controlled by protein-coding RNAs but are also regulated by the noncoding portions of the genome [13].
RNA has a diverse set of roles and is more than just an intermediate molecule between genes and proteins [14]. After the discovery of messenger RNA, many other RNAs were identified, such as small nuclear RNAs that are involved in splicing regulation [15], small nucleolar RNAs involved in ribosome biogenesis [16], and ribosomal RNAs and transfer RNAs involved in translation [17]. The RNA world has become more complex with the identification of lncRNAs, which are similar to mRNA in length and splicing structure but do not encode proteins. The lncRNA H19 was discovered as an RNA that is induced during the development of liver in mouse [18] and the lncRNA XIST, which is required for X inactivation, was found to be expressed exclusively from the inactive X chromosome [19]. Over the past several decades, both large and small RNAs were discovered at an unprecedented rate because of large-scale genomic projects, including the Encyclopedia of DNA Elements (ENCODE) [8,20,21,22,23,24,25,26,27,28]. However, the functional importance of most of these RNAs has remained unclear.
Accumulating evidence indicates that lncRNAs play critical roles in diverse biological processes, including proliferation, differentiation, embryogenesis, neurogenesis, stem cell pluripotency, pathogenic infection and tumorigenesis [7,9,12,29,30,31,32,33,34,35,36,37,38,39,40]. LncRNAs also function in chromatin and genomic structural remodeling, RNA stabilization and transcriptional regulation [36,41]. Other studies reported that lncRNAs can regulate protein stability by preventing post-translational modifications associated with protein degradation [40]. In cancer, lncRNAs have tissue- and cancer type–specific expression and are expressed in correlation with several gene sets that influence the cell cycle, survival and metastasis, among other functions, which contribute to the phenotype of cancer cells [42]. Moreover, multiple lncRNAs are transcriptionally regulated by oncoproteins or tumor suppressors, which is important for cancer tumorigenesis [29,43].
In this review, we will describe the biogenesis and features of lncRNAs produced from intergenic loci and the current knowledge regarding the roles of lncRNAs in cancer. We also present an overview of the methodologies to identify the function of lncRNAs in cancer development and tumorigenesis as well as the challenges of studying them and the potential to target lncRNAs for diagnostic and therapeutic applications.

2. Definition of LncRNAs

Results from tiling microarrays and massive parallel sequencing technologies targeting whole genomes and transcriptomes have revealed that only <1% of the human genome encodes proteins and most of the genome is actively transcribed into ncRNAs [8]. Transcripts from the noncoding regions of the genome can be categorized as housekeeping ncRNAs or regulatory ncRNAs. Housekeeping ncRNAs, such as ribosomal RNAs (rRNAs, components of ribosomes), transfer RNAs (tRNAs, which serve as the physical link between mRNAs and the amino acids in proteins), small nuclear RNAs, (snRNAs, which are found within the splicing machinery) and small nucleolar RNAs (snoRNAs, which guide chemical modifications of other RNAs), are constitutively expressed independent of tissue and developmental stage. Regulatory ncRNAs, which are functional RNAs, include microRNAs, small interfering RNAs, Piwi-associated RNAs [44,45]. However, most regulatory ncRNAs are related to lncRNAs [46]. Several databases that provide expression, annotation, gene locus and other information on mammalian lncRNAs have recently become available [47,48,49,50,51,52,53,54,55,56,57,58,59,60].
LncRNAs are located in intergenic regions, which are the genomic regions between two genes, or clustered with protein-coding genes. LncRNAs are transcribed bidirectionally or in sense or antisense directions to protein-coding genes or in intronic regions of protein-coding genes [36,46,61] (Figure 1A). When lncRNAs are expressed from intronic regions, they overlap exons of another transcript on the same or opposite strand with a ‘nested pattern,’ in which lncRNA genes are contained entirely within protein-coding transcripts; a ‘containing pattern,’ in which protein-coding transcripts are contained entirely within lncRNAs; or an ‘overlapping pattern,’ in which the lncRNA gene is neither ‘nested’ nor ‘containing’ [36] (Figure 1B). Most intronic lncRNAs have been proposed to be pre-mRNA fragments [62]. In contrast, intergenic lncRNAs remain a complete mystery. Approximately half of the intergenic lncRNAs are transcribed at 10 kb or less from protein-coding genes [63] and most can act in cis to regulate the expression of nearby genes. In contrast, the lncRNAs transcribed far from protein-coding loci have little possibility to act in cis-regulation of transcription. However, these lncRNAs can play a role in trans by association with proteins and subsequent formation of large ribonucleoprotein complexes.

3. LncRNA Biogenesis as well as Transcriptional and Post-Transcriptional Regulation of LncRNAs

RNA polymerase II (Pol II) transcribes more than 150,000 pre-mRNAs in the human genome, and these pre-mRNAs undergo 5′ capping, splicing, 3′ cleavage and poly-adenylation [64]. Most, but not all, lncRNAs are generated by the same transcriptional machinery as other mRNAs and are transcribed by RNA Pol II with histone modifications related to transcription initiation and elongation [9,42,61]. A set of transcribed lncRNAs, which are often spliced, are capped with 5′ terminal methylguanosine and polyadenylated at their 5′ and 3′ ends [61]. LncRNAs undergo RNA processing features like mRNA; however, whereas mRNA processing is more robustly coordinated with the transcription, splicing and polyadenylation machinery, lncRNAs are more often cleaved and prematurely terminated when transcribed. Recent studies using mammalian native elongating transcript sequencing, which can investigate genome-wide Pol II density by detecting the phosphorylation status of the Pol II C-terminal domain, revealed that Pol II pauses inefficiently at lncRNA promoters and throughout lncRNA loci, resulting in more frequent transcription termination than observed in protein-coding genes [65]. LncRNAs are also generated by several alternate pathways. RNA polymerase III transcribes non-polyadenylated lncRNAs [66,67] and some lncRNAs are excised during splicing and snoRNA production [68]. LncRNA transcripts also have fewer and shorter exons and are expressed at lower level than mRNAs [69].
Similar to protein-coding genes, lncRNA genes are globally enriched at their promoter regions with histone modifications such as H3K27ac, H3K4me3 and H3K9ac [70]. In addition, most lncRNA genes are characterized by H3K4me3 at the transcription start site and H3K36me3 along the gene body [10,42,71,72]. LncRNAs can also regulate the expression of their own genes and/or their target genes by association with chromatin-related complexes, such as the PRC2 complex, to regulate the chromatin state and their expression [10,73,74,75].
Many lncRNAs are expressed in a developmentally regulated- and cell type-dependent manner, and the expression of lncRNAs is tissue-specific compared with that of mRNAs [76]. The tissue specificity of lncRNA expression suggests that they modulate expression of specific genes through physical proximity, promoting establishment and maintenance of tissue in which function of mRNAs, other non-coding RNAs or lncRNAs linked to each other [10,11,36,46].
No defining biological features can be exclusively attribute to lncRNAs, because they have a generation process in common with mRNAs. Experimental support against the categorization of a lncRNA can be presented by ribosomal profiling with deep sequence technology or peptide fragments from mass spectrometry analysis that indicate translational regulation of RNAs [77,78]. However, the protein-encoding capacity does not necessarily interfere with other functions of RNA, and indeed several studies have provided evidence for mRNAs that function as not only protein-encoding molecules but also as lncRNAs [79]. Moreover a lack of function, including the lack of an extended open reading frame, provides logical evidence that many transcripts function as an RNA [80].

4. Features of LncRNAs

4.1. Evolutionary Conservation of LncRNAs

NONCODE database, which is an integrated knowledge database dedicated to ncRNAs (excluding tRNAs and rRNAs), are databases that contain over 100,000 lncRNAs, and most lncRNAs are yet to be annotated [57]. Elucidation of conservation patterns within genes and between ncRNAs and their interaction partners has greatly advanced the understanding of other ncRNAs [81,82,83]. In addition, analyzing the evolutionary conservation of lncRNAs might allow for the identification of elements and structures important for lncRNA function. LncRNAs have a greater conservation than ancient repeat sequences but less than protein-coding genes. Moreover, compared with protein-coding RNAs and other ncRNAs, lncRNAs have fewer invertebrate orthologues, except for the telomeric repeat-containing RNA (Terra), and have undergone rapid evolution [11,84]. Some lncRNAs are functionally conserved across species [11,85,86,87,88]. Less than 6% of zebrafish lncRNAs show sequence conservation with mammalian lncRNAs [89]. Moreover, exon regions of lncRNAs tend to be more conserved than the intergenic regions, but are significantly less conserved than mRNA exons [27,42,63,73,89].

4.2. Subcellular Localization and Secondary Structure of LncRNA

The subcellular localization of lncRNAs is as diverse as that observed with protein-coding mRNAs [46]. mRNAs are mainly localized to the cytoplasm where they undergo translation, whereas lncRNAs are more often located in the nucleus than in the cytoplasm [29,39,40,90,91,92,93]. However, several lncRNAs are found mostly in the cytoplasm [94,95]. The factors or sequence elements that define the specific localization of lncRNAs within either the cytoplasm or nucleus remain largely unknown.
Secondary and higher order structures are an important feature for most lncRNAs and confer thermodynamic stability [11,61,96]. RNA form hydrogen bonds on the Hoogsteen and ribose face as well as the Watson-Crick face [61]. These interactions lead to the formation of RNA secondary structures, including double helices, hairpin loops, bulges and pseudoknots, forming tertiary and higher order structures by non-Watson-Crick base-pairing [97]. The secondary structure of lncRNAs determines their function and several lncRNAs are highly conserved at the secondary structure level [36]. For example, the lncRNA MEG3 exerts its tumor suppressor function through motifs within its secondary structure rather than its primary sequence [98]. Metastasis associated in lung adenocarcinoma transcript (MALAT1), which is an abundant and highly conserved lncRNA across mammals, is stabilized by forming a triple helix structure at its 3′ end [99]. Terminal differentiation-induced noncoding RNA (TINCR) is conserved at its 5′ end across vertebrates other than mice [93], while the 3′ end shows differences in sequence across vertebrates [36].

5. Roles of LncRNAs in Cancer

5.1. LncRNAs with Oncogenic Potential

HOX antisense intergenic RNA (HOTAIR), one of the most well studied lncRNAs, is a 2.2-kb antisense lncRNA that is embedded in the HOXC locus. HOTAIR was first described as interacting with EZH2 and SUZ12, members of the PRC2 complex that methylates histone H3 on lysine 27 [23,100]. HOTAIR interacts with LSD1, which is a demethylase that mediates enzymatic demethylation of H3K4me2 [101]. HOTAIR expression is correlated with poor outcome in primary breast, colon and lung tumors; this lncRNA serves as a diagnostic and prognostic marker and is considered a potential therapeutic target in different cancer types [100,102]. Noncoding RNA activated by DNA damage (NORAD) is induced by the DNA damage response and plays a critical role in chromosomal instability [103]. NORAD maintains genomic stability by sequestering PUMILIO proteins, which are evolutionally conserved RNA-binding proteins that regulate the stability and translation of mRNAs [104,105]. NORAD contributes to cancer development, and its expression is upregulated and associated with poor prognosis in various types of cancers, including colorectal cancer, pancreatic cancer, breast cancer, esophageal squamous cell carcinoma and bladder cancer [106,107,108,109,110,111,112]. The survival associated mitochondrial melanoma specific oncogenic non-coding RNA (SAMMSON), which is located 30 kb downstream of the MITF gene, regulates the survival of melanoma and is co-amplified with MITF in approximately 10% of human melanomas [113]. SAMMSON interacts with p32, a master regulator of mitochondrial homeostasis and metabolism, to increase its mitochondrial localization and pro-oncogenic function [113]. SAMMSON promotes an increase in rRNA maturation and protein translation in the cytosol and mitochondria via sequestration of the nuclear RNA-binding protein CARF in the cytoplasm [114].
Several lncRNAs, such as plasmacytoma variant translocation 1 (PVT1), colon cancer-associated transcripts 1 and 2 (CCAT1 and CCAT2, respectively), prostate cancer associated transcript 1 (PCAT1) and MYC-induced long non-coding RNA (MINCR), regulate the expression of the proto-oncogene MYC, which is located in the 8q24 locus, the most frequently amplified region in human cancers [115,116,117,118,119,120,121,122]. These lncRNAs also map in 8q24 close to the MYC gene [115,116,117,118,119,120,121,122]. PVT1 is often involved in DNA rearrangements in Burkitt’s lymphoma, multiple myeloma and gastric cancer [116,120,123,124,125,126]. PVT1 and MYC are co-amplified in a variety of human tumors, and the co-amplification results in MYC stabilization and proliferation of cancer cells [102,116,123]. PVT1 is not only a MYC target gene, but part of the same ribonucleoprotein complex together with MYC; however, PVT1 also contributes to tumorigenesis independent of MYC [127]. PVT1 depletion can induce apoptotic cell death of cancer cells [120], whereas MYC silencing does not affect cell death, suggesting different mechanisms of PVT1 and MYC function in different cancers [128,129]. CCAT1 and CCAT2, which map upstream of the MYC locus by approximately 515 kb and 333 kb in 8q24, respectively, regulate the function of MYC [118,130]. CCAT1 knockdown was shown to reduce the proliferation of cancer cells through cell cycle arrest and tumorigenesis of colon cancer cells in a xenograft model [119]. Conversely, over-expression of CCAT2, a target of Wnt signaling, increased the expression of MYC and promoted invasive tumor growth in a xenograft model [118]. PCAT1, a lncRNA that maps approximately 710 kb upstream of the MYC gene, is responsible for the post-transcriptional regulation of MYC in prostate cancer [121]. MINCR contributes to the regulation of Myc target genes that are involved in cell cycle and functions in cell cycle progression in Burkitt lymphoma cells [122]. Moreover, MINCR knockdown induces cell cycle arrest and apoptosis by reducing the expression of Myc and its downstream effectors, including cyclin A, cyclin D, CDK2 and Bcl-2, in non-small cell lung cancer cells [131].

5.2. LncRNAs with Tumor Suppressor Functions

Multiple lncRNAs have been found to play an important role in modulating tumor suppressor functions. For example, several lncRNAs regulate the expression of key tumor suppressors from the CDKN2A/CDKN2B locus, which encodes p15 INK4b, p16 INK4a, and p14 ARF genes [9,13,102,132]. The antisense noncoding transcript p15-AS is also transcribed from the CDKN2A/CDKN2B locus; p15-AS expression is associated with low p15 INK4b expression in leukemic cells and it represses p15 INK4b expression through modulating heterochromatin formation [133]. TCF21 antisense RNA inducing demethylation (TARID), an antisense RNA of TCF21 that is a tumor suppressor, binds and recruits GADD45a to the TCF21 promoter to facilitate demethylation in several cancers, including non-small cell lung cancer, head and neck squamous cell carcinomas and ovarian cancers [134]. Growth arrest-specific transcript 5 (GAS5), a lncRNA that functions in embryogenesis, controls apoptosis and is downregulated in cancer [135,136,137,138]. The expression of GAS5 is inversely correlated with tumor size, staging, and metastasis in several tumor types, including breast, bladder, colon, pancreas, and prostate cancer [139,140].
PTEN acts as a tumor suppressor by regulating PI3K and downstream effectors such as AKT, and the expression levels of PTEN are tightly regulated [141,142]. PTEN pseudogene (PTENP1) is homologous to the coding sequence and a portion of the 3’ UTR of PTEN mRNA [143]. PTENP1 functions as a decoy for PTEN-targeting miR-19b and miR-20a, and its locus is selectively deleted in sporadic colon cancer and prostate cancer [143,144].
The most studied protein in the cancer research field is the tumor suppressor p53, which is called the “guardian of the genome” [145]. Understanding the mechanism of p53 tumor suppressive pathways that are regulated by lncRNAs has been progressed. Research on lncRNAs that are involved in the p53-mediated DNA damage response pathway is greatly advanced. LincRNA-p21 is an antisense transcript of CDKN1A, the gene that encodes the p21 tumor suppressor, and is induced by DNA damage in a p53-dependent manner [43,146]. LincRNA-p21 causes disruption of the G1/S cell cycle checkpoint in a p21-dependent manner through its interaction with hnRNPK to regulate CDKN1A expression [43,146]. The expression of lincRNA-p21 correlates with tumor stage and invasive phenotype in colon cancer, and lincRNA-p21 enhances sensitivity to radiation through the Wnt/β-catenin signaling pathway [147,148]. Moreover, lincRNA-p21 causes a significant transcriptional decrease of CTNNB1 and JUNB genes by its interaction with HuR in breast cancer cells [94] and impairs cell proliferation in diffuse large B cell lymphoma cell lines [149]. P21 associated ncRNA DNA damage activated (PANDA), an antisense RNA to CDKN1A, is induced during the DNA damage response in a p53-dependent manner [150]. PANDA interacts with the transcription factor NF-YA to repress the expression of pro-apoptotic genes, resulting in inhibition of DNA damage–induced apoptosis [150]. The lncRNA GUARDIN is also regulated by p53 under the DNA damage response, promoting cell survival and maintaining genome stability [151]. GUARDIN is transcribed from the promoter region of miR-34a, which is a p53 target gene, and acts as an RNA scaffold for the heterodimerization of BRCA1 and BRCA1-associated RING domain protein 1 (BARD1), resulting in the stabilization of BRCA1 [151]. LncRNA activator of enhancer domains (LED), which is induced by p53, interacts with and activates strong enhancers, including an enhancer region within the CDKN1A gene, to regulate cell cycle arrest following p53 activation [152]. LED expression is largely silenced by DNA methylation in p53 wild-type primary human acute lymphocytic leukemia as well as breast, liver and prostate tumors [152]. In addition, other lncRNAs, such as MEG3, which is one of the imprinted genes mapping at 14q32.3 [153], are involved in p53 function in cancer cells without being transcriptionally regulated by p53. MEG3 shows tumor suppressor activity by activating p53 and its target genes in various cancer cell lines [154,155,156,157]. Consistent with its function as a tumor suppressor, MEG3 expression is repressed in several tumors [154,155,156,157].
Activation of p53 under stress conditions stimulates the formation of paraspeckles, which are membrane-less compartments that participate in transcription and RNA processing [158]. Paraspeckle formation and maintenance depend on their interaction with the lncRNA nuclear enriched abundant transcript 1 (NEAT1), which has two isoforms, a 3.7 kb (NEAT-1_1) and a 23 kb (NEAT-1_2) long isoform, that are widely expressed in several tissues [159,160]. NEAT1 is a direct target gene of p53 [158]. NEAT1 expression is regulated by several types of stimuli, including influenza virus and herpes simplex virus infection, bacterial infection, LPS induction and inflammasome [161,162,163,164,165]. NEAT1 is overexpressed in breast cancer and acute myeloid leukemia and may play an important role in the DNA damage pathway [158,166]. Depletion of NEAT1 inhibited cell growth, viability and morphology of breast cancer and Burkitt’s lymphoma cells [166,167]. Moreover, the loss of Neat1 confers resistance to chemically induced skin cancer formation in mice and promotes pancreatic transformation and cancer initiation in Kras G12D–expressing mice [158,168].

5.3. LncRNAs with Metastatic Potential

Metastasis associated in lung adenocarcinoma transcript (MALAT1) was identified early as a prognostic factor for lung cancer survival [169,170,171]. MALAT1 expression has been reported to be associated with several types of tumors, including liver, breast and colon cancer [172]. Loss-of-function studies of MALAT1 in mice have revealed that it is non-essential for normal tissue homeostasis during development [173,174], but depletion of MALAT1 in lung cancer cells leads to a significant decrease in cell motility [175]. MALAT1, which is localized to nuclear speckles and regulated by RNA decay machinery [176,177], regulates selective splicing and epigenetic mechanisms [99,178,179]. However, the role of MALAT1 in cancer metastasis is not yet fully understood.
In addition to MALAT1, several other cancer-associated lncRNAs are involved in the regulation of invasion, metastasis and epithelial to mesenchymal transition (EMT) of cancer cells [9,13]. HOTAIR, which is deregulated in several cancer types as described above [180], induces metastasis by forming a macromolecular complex with PRC2 that silences specific gene loci [100,101,181]. LncRNA-activated by TGF-β (lncRNA-ATB), which promotes EMT and metastasis, is induced by TGFβ signaling in hepatocellular carcinoma cells [182]. LncRNA-ATB competitively binds to miR-200 and activates the expression of ZEB1 and ZEB2 during EMT, whereas it promotes metastasis by interacting with interleukin-11 mRNA and enhancing Stat3 signaling [182]. Second chromosome locus associated with prostate-1 (SChLAP1), which is associated with poor prognosis and metastatic progression in prostate cancer, promotes prostate cancer invasion and metastasis by disrupting the activity of the SWI/SNF complex [183,184]. The lncRNA BCAR4 is interacts with the transcription factors SNIP1 and PNUTS to promote the migration and metastasis of breast cancer cells [185].

6. Methodologies for the Study of LncRNAs in Cancer

6.1. Identification of LncRNAs Whose Expression Is Dysregulated in Cancer Cells

The first lncRNAs that were found to be aberrantly expressed in cancer were prostate cancer antigen 3 (PCA3) and prostate-specific transcript 1 (PCGEM1), which were identified in a differential display analysis of prostate tumors and normal tissue [186,187]. Both lncRNAs are currently used as biomarkers for prostate cancer [188,189]. Before the deep-sequencing era, the technological inability to examine noncoding regions of the genome and the lack of reliable lncRNA annotation databases had prevented understanding of the big picture of the ncRNA world and the identification of functional lncRNAs. The general implementation of deep-sequencing technology solved this problem and prompted the rise of lncRNA research [9]. Recent improvements in microarray technology have greatly increased the number of probes corresponding to lncRNAs, increasing the number of lncRNAs that can be detected for aberrant expression in various types of cancer. However, with the advent of RNA-seq technology, which has a lower cost, more accurate and higher sensitivity compared with microarray technology, it is now possible to evaluate an increasingly large number of tumor samples and identify a large number of aberrantly expressed lncRNAs [190] (Figure 2). For example, using RNA-seq technology, we discovered that UHRF1 protein associated transcript (UPAT) expression is correlated with colorectal tumorigenesis and antisense ncRNA in the ANA/BTG3 locus (ASBEL) expression is regulated by the Wnt pathway, which is dysregulated in colorectal cancer [29,40].
Systematic analysis by The Cancer Genome Atlas (TCGA) project [191,192,193] and the Cancer LncRNA Census (CLC), which was introduced as a part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium [48,194], has identified lncRNAs that are dysregulated and mutated in a tumor-specific manner. Both TCGA and the CLC projects have provided useful data sets and annotation data to cancer researchers and accelerated our understanding of the molecular basis of cancer including the role of lncRNAs in cancer development.

6.2. LncRNA-Protein Interactions

The precise mechanism by which ncRNAs function in biological processes remains poorly understood, and comprehensive understanding of the role of lncRNAs in cancer is still in the early stage. Unlike the function of protein-coding genes, the function of lncRNAs cannot be directly inferred from the full-length sequence. However, increasing evidence suggests that most lncRNAs function through specific interactions with other bio-macromolecules, such as proteins, DNA and other RNA molecules [3,10,11,14,36]. For example, proteins are important binding partners of lncRNAs, and complexed ribonucleoprotein (RNP) particles regulate critical biological processes, such as protein degradation, mRNA transport, chromatin modification and transcription [23,29,39,40,61,74,203,204,205,206]. These interactions are important in defining lncRNA functions; however, the identification and evaluation of lncRNA-protein complexes has presented challenges.
The most common strategy for identifying lncRNA interacting partners is by pulldown analysis to determine proteins that associate with lncRNAs of interest [13] (Figure 2). Based on the affinity purification of designed sense RNA oligonucleotide probes specific to a specific lncRNA, the procedure efficiently allows the capture of all proteins bound to lncRNAs and identification of proteins by mass spectrometry or western blot [40]. Using this strategy, we showed that UPAT bound to UHRF1 to interfere with its ubiquitination and degradation and revealed that ASBEL bound to TCF3 to regulate the expression of the tumor suppressor ATF3 in colorectal cancer [29,40]. Moreover, several studies have successfully used pulldown assays to identify and key lncRNA-binding partners. In hepatocellular carcinoma, the association of HOTAIR with EZH2 leads to tumor progression and aggressiveness [207]. In non-cancer cells, the p53-inducible lincRNA-p21 was shown to bind hnRNP-K to repress gene expression and p53-mediated apoptosis in response to DNA damage and Apela was found to bind hnRNPL to regulate DNA damage–induced apoptosis in mouse embryonic stem cells [43,208].
RNA pulldown analysis can also identify proteins that bind specific lncRNAs; however, this technique can yield many artifacts resulting from non-specific interactions with misfolded lncRNAs. Furthermore, the potential of RNA to bind proteins non-specifically or only in non-physiological in vitro conditions can make interpretation of the results difficult [13].
In addition to RNA pulldown, other techniques have been applied, such as chromatin isolation by RNA purification (ChIRP), capture hybridization analysis of RNA targets (CHART) and RNA antisense purification (RAP), in which short biotinylated oligonucleotides complementary to the lncRNA transcript capture the target RNAs in cells. These methods can successfully identify binding proteins as well as genomic regions for lncRNAs [195,196,197,198,199].
Protein-lncRNA interactions have also been identified using protein-centric methods. For example, studies using RNA immunoprecipitation (RIP) have also identified lncRNA-interacting proteins and therefore functional mechanisms. In addition to the UPAT-UHRF1 and ASBEL-TCF3 complexes mentioned above, several lncRNAs, including PCGEM1, PRNCR1 and HOTAIR that are associated with androgen receptor in prostate cancer cells were found to bind with proteins in cancer cell lines using RIP [29,40,209,210].

6.3. Loss-of-Function and Gain-of-Function Strategies for LncRNA Studies

To precisely evaluate the function of lncRNAs in cancer, determining their roles in cancer cell phenotypes, including cell transformation, proliferation, cell cycle deregulation, apoptosis inhibition, migration, invasiveness and tumorigenesis, is critical. In many studies, loss-of-function experiments using RNA interference (RNAi) have been used to examine lncRNA function [9,29,39,40]. However, knockdown analysis using siRNA is difficult to apply for cancer phenotypic analyses that require longer than one week, such as in tumorigenesis assays using mice, because siRNA only provides temporary inhibition. Therefore, it is necessary to prepare cell lines in which the expression of lncRNAs is stably suppressed using shRNA experiments with viruses such as lentiviruses [29,39,40].
Other oligo-based RNA knockdown technologies have been used as an alternative to repress the expression of lncRNAs in cancer cells, such as antisense oligonucleotides (ASO) or ‘gapmers’ [40]. These oligo-based strategies involve binding of ASO to the target RNA to form a DNA-RNA hybrid, which promotes RNA cleavage by ribonuclease H [211,212,213]. However, oligo-based techniques also have several limitations, such as incomplete knockdown, unpredictable off-target effects and temporary inhibition.
Knockout strategies generated by directed targeting nucleases provide a powerful tool for elucidating lncRNA function both in vitro and in vivo [214,215,216]. In particular, genome editing using the CRISPR-Cas system or zinc finger nucleases (ZFNs) has been used for total or partial deletion of lncRNAs in cells or to stop the expression of lncRNAs by insertion of polyadenylation signals between the promoter and the lncRNA sequence [214,217,218,219]. While the CRISPR-Cas system has been applied for complete knockdown and constitutive inhibition of lncRNAs, it is difficult to avoid unpredictable off-target effects using this strategy [220,221,222,223,224,225].
The CRISPR-Cas system can also be applied to achieve lncRNA overexpression by inserting a strong promoter upstream of the gene [130]. However, the most widely applied strategy for gain-of-function analysis is ectopic overexpression using transient transfection of an expression vector or the lncRNA itself transcribed in vitro with the 5′ cap and/or 3′ poly-adenylation or viral transduction [29,39,40]. This strategy may be effective when lncRNA exerts its function in trans.

6.4. Mouse Models and Knockout Models for LncRNA Study

In vitro cell-based experiments, such as soft-agar colony formation assays, have been used to show that some lncRNAs are associated with cellular processes related to cell transformation [9,226,227]. Various models have been developed to clarify whether these lncRNAs exert similar functions in vivo. Human cancer cells have tumorigenicity, which is the ability of cancer cells to generate tumors in immunologically nonresponsive animals, including nude and NOD/SCID mice [227,228]. Injection of cancer cells with modulated expression of specific lncRNAs has enabled the identification of lncRNAs that contribute to tumorigenesis [29,39,40,100,229,230]. For example, knockdown of UPAT or ASBEL reduces the tumorigenicity of colon or ovarian cancer cells in mice [29,39,40].
Only a few studies thus far have reported lncRNA knockout mice with critical developmental phenotypes, including mice with knockout for Fendrr, Linc-Pint or Pantr2 [200,201,202]. One limitation in creating knockout mouse models to examine the function of a specific lncRNA is that the lncRNA of interest is not always highly conserved in humans and mice or other vertebrates [231]. Nevertheless, some human lncRNAs show partial conservation with other mammals such as mouse and lower vertebrates [11,89,190,232], suggesting the possibility of conserved functions of lncRNAs and conserved sequences or structural elements in lncRNAs that may be elucidated in the knockout mouse.

7. Conclusions

Advances in the human transcriptome have improved our comprehensive understanding of gene regulation in cancer. The presence of thousands of lncRNAs that are involved in various cellular functions may have important implications for the development and maintenance of cancer, forcing us to revise our view of cancer, including its causal origins and diagnosis and treatment strategies. Many studies have established that lncRNAs play an important role in tumor development, tumor progression, tumor cell survival and tumorigenesis. Because some lncRNAs show aberrant expression in tumor cells, the lncRNAs are currently under evaluation as biomarkers or direct therapeutic targets in clinical trials. The field, however, is still in its infancy, and applying lncRNAs into the clinical stage will take time. Despite the fact that strategies specifically targeting lncRNAs have provided promising results in mouse models, lncRNA-based therapeutic approaches have not yet reached the clinical stage and a variety of challenges remain unresolved.
Despite the rapid increase in the number of lncRNAs, the functions of lncRNAs not only in cancer cells but in physiological conditions in normal cells are still far from fully understood. The biggest challenge in functional analysis of lncRNAs is the inability to predict their function from their sequence, unlike proteins, and identification of binding partner and structural elements of lncRNA that confer cellular functions will lead to the understanding of their function. Moreover, some lncRNAs localize to their target genes by direct RNA-DNA interactions. The implementation of methodologies to identify proteins that bind to specific lncRNAs as well as detection of genome-wide DNA binding sites of lncRNAs using mass spectrometry analysis and massive sequence technologies will help determine the functions of lncRNAs [29,40,195,196,197,198,199]. In addition, techniques from other fields such as live cell RNA imaging techniques, structural biology approaches and RNA proteomics will be critical.
LncRNAs are now recognized as a major new class of genes in biology. LncRNAs also represent promising targets for diagnostic and tailored therapeutic applications. The creation of technologies that allow easy quantification and monitoring of expression by non-invasive approaches, such as using blood, urine and saliva, greatly increases the potential for the use of lncRNAs in clinical practice. CRISPR-based systems, synthetic oligonucleotide antagonists and oligonucleotides for the knockdown of lncRNAs or inhibition of specific lncRNA-protein interactions provide new opportunities for exploring the clinical relevance of lncRNAs. The discovery of novel lncRNAs, the identification of their function and behavior in various cancer subtypes, and the development of strategies targeting novel lncRNAs for diagnosis and tailored therapeutics are very promising and represent one of the major strategies for cancer treatment in the near future.

Author Contributions

Conceptualization, K.T. and N.A.; writing—original draft preparation, K.T.; writing—review and editing, K.T. and N.A.; All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI (Grant Number: 17KK0163, 18H02570, 18KT0016 and 20H04838). N.A. and K.T. was supported by Takeda Science Foundation. K.T. was supported by Kobayashi Foundation.

Acknowledgments

We thank Gabrielle White Wolf, from Edanz Group (https://en-author-services.edanz.com/ac) for editing this manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

ASBELAntisense ncRNA in the ANA/BTG3 locus
ASOAntisense oligonucleotides
BARD1BRCA1-associated RING domain protein 1
CCAT1Colon cancer-associated transcripts 1
CCAT2Colon cancer-associated transcripts 2
CHARTCapture hybridization analysis of RNA targets
ChIRPChromatin isolation by RNA purification
CLCCancer LncRNA Census
EMTEpithelial to mesenchymal transition
ENCODEEncyclopedia of DNA Elements
GAS5Growth arrest-specific transcript 5
HOTAIRHOX antisense intergenic RNA
LEDLncRNA activator of enhancer domains
lncRNAsLong ncRNAs
lncRNA-ATBLncRNA-activated by TGF-β
ncRNAsNoncoding RNAs
NORADNoncoding RNA activated by DNA damage
MALAT1Metastasis associated in lung adenocarcinoma transcript
MINCRMYC-induced long non-coding RNA
NEAT1Nuclear enriched abundant transcript 1
PANDAP21 associated ncRNA DNA damage activated
PCAWGPan-Cancer Analysis of Whole Genomes
PCA3Prostate cancer antigen 3
PCAT1Prostate cancer associated transcript 1
PCGEM1Prostate-specific transcript 1
PTENP1PTEN pseudogene
PVT1Plasmacytoma variant translocation 1
Pol IIRNA polymerase II
RAPRNA antisense purification
RIPRNA immunoprecipitation
RNAiRNA interference
RNPRibonucleoprotein
rRNAsRibosomal RNAs
SAMMSONSurvival associated mitochondrial melanoma specific oncogenic non-coding RNA
SChLAP1Second chromosome locus associated with prostate-1
snRNAsSmall nuclear RNAs
snoRNAsSmall nucleolar RNAs
TARIDTCF21 antisense RNA inducing demethylation
TCGAThe Cancer Genome Atlas
TerraTelomeric repeat-containing RNA
TINCRTerminal differentiation-induced noncoding RNA
tRNAsTransfer RNAs
UPATUHRF1 protein associated transcript
ZFNsZinc finger nucleases

References

  1. Crick, F. On protein synthesis. Symp Soc. Exp. Biol 1958, 12, 138–163. [Google Scholar] [PubMed]
  2. Crick, F. Central dogma of molecular biology. Nature 1970, 227, 561–563. [Google Scholar] [CrossRef] [PubMed]
  3. Wang, K.C.; Chang, H.Y. Molecular mechanisms of long noncoding RNAs. Mol. Cell 2011, 43, 904–914. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Shi, X.; Sun, M.; Liu, H.; Yao, Y.; Song, Y. Long non-coding RNAs: A new frontier in the study of human diseases. Cancer Lett. 2013, 339, 159–166. [Google Scholar] [CrossRef]
  5. Alexandrov, L.B.; Stratton, M.R. Mutational signatures: The patterns of somatic mutations hidden in cancer genomes. Curr. Opin. Genet. Dev. 2014, 24, 52–60. [Google Scholar] [CrossRef] [Green Version]
  6. Stratton, M.R.; Campbell, P.J.; Futreal, P.A. The cancer genome. Nature 2009, 458, 719–724. [Google Scholar] [CrossRef] [Green Version]
  7. Kopp, F.; Mendell, J.T. Functional Classification and Experimental Dissection of Long Noncoding RNAs. Cell 2018, 172, 393–407. [Google Scholar] [CrossRef] [Green Version]
  8. Djebali, S.; Davis, C.A.; Merkel, A.; Dobin, A.; Lassmann, T.; Mortazavi, A.; Tanzer, A.; Lagarde, J.; Lin, W.; Schlesinger, F.; et al. Landscape of transcription in human cells. Nature 2012, 489, 101–108. [Google Scholar] [CrossRef] [Green Version]
  9. Huarte, M. The emerging role of lncRNAs in cancer. Nat. Med. 2015, 21, 1253–1261. [Google Scholar] [CrossRef]
  10. Rinn, J.L.; Chang, H.Y. Genome regulation by long noncoding RNAs. Annu. Rev. Biochem. 2012, 81, 145–166. [Google Scholar] [CrossRef] [Green Version]
  11. Ulitsky, I.; Bartel, D.P. lincRNAs: Genomics, evolution, and mechanisms. Cell 2013, 154, 26–46. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Wong, C.M.; Tsang, F.H.; Ng, I.O.L. Non-coding RNAs in hepatocellular carcinoma: Molecular functions and pathological implications. Nat. Rev. Gastroenterol. Hepatol. 2018, 15, 137–151. [Google Scholar] [CrossRef] [PubMed]
  13. Schmitt, A.M.; Chang, H.Y. Long Noncoding RNAs in Cancer Pathways. Cancer Cell 2016, 29, 452–463. [Google Scholar] [CrossRef] [Green Version]
  14. Guttman, M.; Rinn, J.L. Modular regulatory principles of large non-coding RNAs. Nature 2012, 482, 339–346. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Weinberg, R.A.; Penman, S. Small molecular weight monodisperse nuclear RNA. J. Mol. Biol. 1968, 38, 289–304. [Google Scholar] [CrossRef]
  16. Zieve, G.; Penman, S. Small RNA species of the HeLa cell: Metabolism and subcellular localization. Cell 1976, 8, 19–31. [Google Scholar] [CrossRef]
  17. Eddy, S.R. Non-coding RNA genes and the modern RNA world. Nat. Rev. Genet. 2001, 2, 919–929. [Google Scholar] [CrossRef]
  18. Pachnis, V.; Brannan, C.I.; Tilghman, S.M. The structure and expression of a novel gene activated in early mouse embryogenesis. EMBO J. 1988, 7, 673–681. [Google Scholar] [CrossRef]
  19. Brown, C.; Ballabio, A.; Rupert, J.L.; Lafreniere, R.G.; Grompe, M.; Tonlorenzi, R.; Willard, H.F. A gene from the region of the human X inactivation centre is expressed exclusively from the inactive X chromosome. Nature 1991, 349, 38–44. [Google Scholar] [CrossRef]
  20. Willingham, A.T.; Orth, A.P.; Batalov, S.; Peters, E.C.; Wen, B.G.; Aza-Blanc, P.; Hogenesch, J.B.; Schultz, P.G. Molecular biology: A strategy for probing the function of noncoding RNAs finds a repressor of NFAT. Science 2005, 309, 1570–1573. [Google Scholar] [CrossRef]
  21. Young, T.L.; Matsuda, T.; Cepko, C.L. The noncoding RNA Taurine Upregulated Gene 1 is required for differentiation of the murine retina. Curr. Biol. 2005, 15, 501–512. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Sleutels, F.; Zwart, R.; Barlow, D.P. The non-coding Air RNA is required for silencing autosomal imprinted genes. Nature 2002, 415, 810–813. [Google Scholar] [CrossRef] [PubMed]
  23. Rinn, J.L.; Kertesz, M.; Wang, J.K.; Squazzo, S.L.; Xu, X.; Brugmann, S.A.; Goodnough, L.H.; Helms, J.A.; Farnham, P.J.; Segal, E.; et al. Functional demarcation of active and silent chromatin domains in human HOX loci by noncoding RNAs. Cell 2007, 129, 1311–1323. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Bertone, P.; Stolc, V.; Royce, T.E.; Rozowsky, J.S.; Urban, A.E.; Zhu, X.; Rinn, J.L.; Tongprasit, W.; Samanta, M.; Weissman, S.; et al. Global identification of human transcribed sequences with genome tiling arrays. Science 2004, 306, 2242–2246. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. The FANTOM Consortium; Carninci, P.; Kasukawa, T.; Katayama, S.; Gough, J.; Frith, M.C.; Maeda, N.; Oyama, R.; Ravasi, T.; Lenhard, B. The Transcriptional Landscape of the Mammalian Genome|Science. Available online: https://science.sciencemag.org/content/309/5740/1559/tab-pdf (accessed on 22 November 2020).
  26. Frankish, A.; Diekhans, M.; Ferreira, A.M.; Johnson, R.; Jungreis, I.; Loveland, J.; Mudge, J.M.; Sisu, C.; Wright, J.; Armstrong, J.; et al. GENCODE reference annotation for the human and mouse genomes. Nucleic Acids Res. 2019, 47, D766–D773. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Frankish, A.; Diekhans, M.; Jungreis, I.; Lagarde, J.; Loveland, J.E.; Mudge, J.M.; Sisu, C.; Wright, J.C.; Armstrong, J.; Barnes, I.; et al. GENCODE 2021. Nucleic Acids Res. 2020, 1–8. [Google Scholar] [CrossRef]
  28. Harrow, J.; Frankish, A.; Gonzalez, J.M.; Tapanari, E.; Diekhans, M.; Kokocinski, F.; Aken, B.L.; Barrell, D.; Zadissa, A.; Searle, S.; et al. GENCODE: The reference human genome annotation for the ENCODE project. Genome Res. 2012, 22, 1760–1774. [Google Scholar] [CrossRef] [Green Version]
  29. Taniue, K.; Kurimoto, A.; Takeda, Y.; Nagashima, T.; Okada-Hatakeyama, M.; Katou, Y.; Shirahige, K.; Akiyama, T. ASBEL-TCF3 complex is required for the tumorigenicity of colorectal cancer cells. Proc. Natl. Acad. Sci. USA 2016, 113, 12739–12744. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Shirahama, S.; Miki, A.; Kaburaki, T.; Akimitsu, N. Long Non-coding RNAs Involved in Pathogenic Infection. Front. Genet. 2020, 11. [Google Scholar] [CrossRef]
  31. Shirahama, S.; Onoguchi-Mizutani, R.; Kawata, K.; Taniue, K.; Miki, A.; Kato, A.; Kawaguchi, Y.; Tanaka, R.; Kaburaki, T.; Kawashima, H.; et al. Long noncoding RNA U90926 is crucial for herpes simplex virus type 1 proliferation in murine retinal photoreceptor cells. Sci. Rep. 2020, 10, 1–8. [Google Scholar] [CrossRef]
  32. Imamura, K.; Akimitsu, N. Long non-coding RNAs involved in immune responses. Front. Immunol. 2014, 5, 3–6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Tano, K.; Akimitsu, N. Long non-coding RNAs in cancer progression. Front. Genet. 2012, 3, 1–6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Anastasiadou, E.; Jacob, L.S.; Slack, F.J. Non-coding RNA networks in cancer. Nat. Rev. Cancer 2017, 18, 5–18. [Google Scholar] [CrossRef] [PubMed]
  35. Batista, P.J.; Chang, H.Y. Long noncoding RNAs: Cellular address codes in development and disease. Cell 2013, 152, 1298–1307. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Ransohoff, J.D.; Wei, Y.; Khavari, P.A. The functions and unique features of long intergenic non-coding RNA. Nat. Rev. Mol. Cell Biol. 2018, 19, 143–157. [Google Scholar] [CrossRef]
  37. Goff, L.A.; Rinn, J.L. Linking RNA biology to lncRNAs. Genome Res. 2015, 25, 1456–1465. [Google Scholar] [CrossRef] [Green Version]
  38. Kim, T.K.; Shiekhattar, R. Diverse regulatory interactions of long noncoding RNAs. Curr. Opin. Genet. Dev. 2016, 36, 73–82. [Google Scholar] [CrossRef] [Green Version]
  39. Yanagida, S.; Taniue, K.; Sugimasa, H.; Nasu, E.; Takeda, Y.; Kobayashi, M.; Yamamoto, T.; Okamoto, A.; Akiyama, T. ASBEL, an ANA/BTG3 antisense transcript required for tumorigenicity of ovarian carcinoma. Sci. Rep. 2013, 3, 1305. [Google Scholar] [CrossRef]
  40. Taniue, K.; Kurimoto, A.; Sugimasa, H.; Nasu, E.; Takeda, Y.; Iwasaki, K.; Nagashima, T.; Okada-Hatakeyama, M.; Oyama, M.; Kozuka-Hata, H.; et al. Long noncoding RNA UPAT promotes colon tumorigenesis by inhibiting degradation of UHRF1. Proc. Natl. Acad. Sci. USA 2016, 113, 1273–1278. [Google Scholar] [CrossRef] [Green Version]
  41. Mercer, T.R.; Dinger, M.E.; Mattick, J.S. Long non-coding RNAs: Insights into functions. Nat. Rev. Genet. 2009, 10, 155–159. [Google Scholar] [CrossRef]
  42. Guttman, M.; Amit, I.; Garber, M.; French, C.; Lin, M.F.; Feldser, D.; Huarte, M.; Zuk, O.; Carey, B.W.; Cassady, J.P.; et al. Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals. Nature 2009, 458, 223–227. [Google Scholar] [CrossRef] [PubMed]
  43. Huarte, M.; Guttman, M.; Feldser, D.; Garber, M.; Koziol, M.J.; Kenzelmann-Broz, D.; Khalil, A.M.; Zuk, O.; Amit, I.; Rabani, M.; et al. A large intergenic noncoding RNA induced by p53 mediates global gene repression in the p53 response. Cell 2010, 142, 409–419. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Malone, C.D.; Hannon, G.J. Small RNAs as Guardians of the Genome. Cell 2009, 136, 656–668. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Carthew, R.W.; Sontheimer, E.J. Origins and Mechanisms of miRNAs and siRNAs. Cell 2009, 136, 642–655. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Ponting, C.P.; Oliver, P.L.; Reik, W. Evolution and Functions of Long Noncoding RNAs. Cell 2009, 136, 629–641. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Fritah, S.; Niclou, S.P.; Azuaje, F. Databases for lncRNAs: A comparative evaluation of emerging tools. Rna 2014, 20, 1655–1665. [Google Scholar] [CrossRef] [Green Version]
  48. Carlevaro-Fita, J.; Lanzós, A.; Feuerbach, L.; Hong, C.; Mas-Ponte, D.; Pedersen, J.S.; Abascal, F.; Amin, S.B.; Bader, G.D.; Barenboim, J.; et al. Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis. Commun. Biol. 2020, 3, 1–16. [Google Scholar] [CrossRef]
  49. Quek, X.C.; Thomson, D.W.; Maag, J.L.V.; Bartonicek, N.; Signal, B.; Clark, M.B.; Gloss, B.S.; Dinger, M.E. lncRNAdb v2.0: Expanding the reference database for functional long noncoding RNAs. Nucleic Acids Res. 2015, 43, D168–D173. [Google Scholar] [CrossRef]
  50. Bhartiya, D.; Pal, K.; Ghosh, S.; Kapoor, S.; Jalali, S.; Panwar, B.; Jain, S.; Sati, S.; Sengupta, S.; Sachidanandan, C.; et al. LncRNome: A comprehensive knowledgebase of human long noncoding RNAs. Database 2013, 2013, 1–6. [Google Scholar] [CrossRef] [Green Version]
  51. Zhao, H.; Shi, J.; Zhang, Y.; Xie, A.; Yu, L.; Zhang, C.; Lei, J.; Xu, H.; Leng, Z.; Li, T.; et al. LncTarD: A manually-curated database of experimentally-supported functional lncRNA-target regulations in human diseases. Nucleic Acids Res. 2020, 48, D118–D126. [Google Scholar] [CrossRef]
  52. Chen, G.; Wang, Z.; Wang, D.; Qiu, C.; Liu, M.; Chen, X.; Zhang, Q.; Yan, G.; Cui, Q. LncRNADisease: A database for long-non-coding RNA-associated diseases. Nucleic Acids Res. 2013, 41, 983–986. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Zhou, B.; Zhao, H.; Yu, J.; Guo, C.; Dou, X.; Song, F.; Hu, G.; Cao, Z.; Qu, Y.; Yang, Y.; et al. EVLncRNAs: A manually curated database for long non-coding RNAs validated by low-throughput experiments. Nucleic Acids Res. 2018, 46, D100–D105. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Ning, S.; Yue, M.; Wang, P.; Liu, Y.; Zhi, H.; Zhang, Y.; Zhang, J.; Gao, Y.; Guo, M.; Zhou, D.; et al. LincSNP 2.0: An updated database for linking disease-associated SNPs to human long non-coding RNAs and their TFBSs. Nucleic Acids Res. 2017, 45, D74–D78. [Google Scholar] [CrossRef] [PubMed]
  55. Dinger, M.E.; Pang, K.C.; Mercer, T.R.; Crowe, M.L.; Grimmond, S.M.; Mattick, J.S. NRED: A database of long noncoding RNA expression. Nucleic Acids Res. 2009, 37, 122–126. [Google Scholar] [CrossRef] [Green Version]
  56. Miao, Y.R.; Liu, W.; Zhang, Q.; Guo, A.Y. LncRNASNP2: An updated database of functional SNPs and mutations in human and mouse lncRNAs. Nucleic Acids Res. 2018, 46, D276–D280. [Google Scholar] [CrossRef]
  57. Fang, S.; Zhang, L.; Guo, J.; Niu, Y.; Wu, Y.; Li, H.; Zhao, L.; Li, X.; Teng, X.; Sun, X.; et al. NONCODEV5: A comprehensive annotation database for long non-coding RNAs. Nucleic Acids Res. 2018, 46, D308–D314. [Google Scholar] [CrossRef]
  58. Sweeney, B.A.; Petrov, A.I.; Ribas, C.E.; Finn, R.D.; Bateman, A.; Szymanski, M.; Karlowski, W.M.; Seemann, S.E.; Gorodkin, J.; Cannone, J.J.; et al. RNAcentral 2021: Secondary structure integration, improved sequence search and new member databases. Nucleic Acids Res. 2020, 1–9. [Google Scholar] [CrossRef]
  59. Volders, P.J.; Anckaert, J.; Verheggen, K.; Nuytens, J.; Martens, L.; Mestdagh, P.; Vandesompele, J. Lncipedia 5: Towards a reference set of human long non-coding rnas. Nucleic Acids Res. 2019, 47, D135–D139. [Google Scholar] [CrossRef] [Green Version]
  60. Park, C.; Yu, N.; Choi, I.; Kim, W.; Lee, S. LncRNAtor: A comprehensive resource for functional investigation of long non-coding RNAs. Bioinformatics 2014, 30, 2480–2485. [Google Scholar] [CrossRef]
  61. Mercer, T.R.; Mattick, J.S. Structure and function of long noncoding RNAs in epigenetic regulation. Nat. Struct. Mol. Biol. 2013, 20, 300–307. [Google Scholar] [CrossRef]
  62. Ravasi, T.; Suzuki, H.; Pang, K.C.; Katayama, S.; Furuno, M.; Okunishi, R.; Fukuda, S.; Ru, K.; Frith, M.C.; Gongora, M.M.; et al. Experimental validation of the regulated expression of large numbers of non-coding RNAs from the mouse genome. Genome Res. 2006, 16, 11–19. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Ponjavic, J.; Ponting, C.P.; Lunter, G. Functionality or transcriptional noise? Evidence for selection within long noncoding RNAs. Genome Res. 2007, 17, 556–565. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Moore, M.J.; Proudfoot, N.J. Pre-mRNA Processing Reaches Back toTranscription and Ahead to Translation. Cell 2009, 136, 688–700. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Schlackow, M.; Nojima, T.; Gomes, T.; Dhir, A.; Carmo-Fonseca, M.; Proudfoot, N.J. Distinctive Patterns of Transcription and RNA Processing for Human lincRNAs. Mol. Cell 2017, 65, 25–38. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Kapranov, P.; Churchill, G.; Holland, M.J.; Draghici, S.; Khatri, P.; Eklund, C.; Szallasi, Z.; Audic, S.; Claverie, J.M.; Dressman, D.; et al. RNA maps reveal new RNA classes and a possible function for pervasive transcription. Science 2007, 316, 1484–1488. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Dieci, G.; Fiorino, G.; Castelnuovo, M.; Teichmann, M.; Pagano, A. The expanding RNA polymerase III transcriptome. Trends Genet. 2007, 23, 614–622. [Google Scholar] [CrossRef] [PubMed]
  68. Yin, Q.F.; Yang, L.; Zhang, Y.; Xiang, J.F.; Wu, Y.W.; Carmichael, G.G.; Chen, L.L. Long Noncoding RNAs with snoRNA Ends. Mol. Cell 2012, 48, 219–230. [Google Scholar] [CrossRef] [Green Version]
  69. Melé, M.; Mattioli, K.; Mallard, W.; Shechner, D.M.; Gerhardinger, C.; Rinn, J.L. Chromatin environment, transcriptional regulation, and splicing distinguish lincRNAs and mRNAs. Genome Res. 2017, 27, 27–37. [Google Scholar] [CrossRef] [Green Version]
  70. Quinn, J.J.; Chang, H.Y. Unique features of long non-coding RNA biogenesis and function. Nat. Rev. Genet. 2016, 17, 47–62. [Google Scholar] [CrossRef]
  71. Mikkelsen, T.S.; Ku, M.; Jaffe, D.B.; Issac, B.; Lieberman, E.; Giannoukos, G.; Alvarez, P.; Brockman, W.; Kim, T.K.; Koche, R.P.; et al. Genome-wide maps of chromatin state in pluripotent and lineage-committed cells. Nature 2007, 448, 553–560. [Google Scholar] [CrossRef]
  72. Marson, A.; Levine, S.S.; Cole, M.F.; Frampton, G.M.; Brambrink, T.; Johnstone, S.; Guenther, M.G.; Johnston, W.K.; Wernig, M.; Newman, J.; et al. Connecting microRNA Genes to the Core Transcriptional Regulatory Circuitry of Embryonic Stem Cells. Cell 2008, 134, 521–533. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Khalil, A.M.; Guttman, M.; Huarte, M.; Garber, M.; Raj, A.; Morales, D.R.; Thomas, K.; Presser, A.; Bernstein, B.E.; Van Oudenaarden, A.; et al. Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression. Proc. Natl. Acad. Sci. USA 2009, 106, 11667–11672. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Koziol, M.J.; Rinn, J.L. RNA traffic control of chromatin complexes. Curr. Opin. Genet. Dev. 2010, 20, 142–148. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Margueron, R.; Reinberg, D. The Polycomb complex PRC2 and its mark in life. Nature 2011, 469, 343–349. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Cabili, M.; Trapnell, C.; Goff, L.; Koziol, M.; Tazon-Vega, B.; Regev, A.; Rinn, J.L. Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses. Genes Dev. 2011, 25, 1915–1927. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Ingolia, N.T.; Lareau, L.F.; Weissman, J.S. Ribosome profiling of mouse embryonic stem cells reveals the complexity and dynamics of mammalian proteomes. Cell 2011, 147, 789–802. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  78. Bánfai, B.; Jia, H.; Khatun, J.; Wood, E.; Risk, B.; Gundling, W.E.; Kundaje, A.; Gunawardena, H.P.; Yu, Y.; Xie, L.; et al. Long noncoding RNAs are rarely translated in two human cell lines. Genome Res. 2012, 22, 1646–1657. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Dinger, M.E.; Gascoigne, D.K.; Mattick, J.S. The evolution of RNAs with multiple functions. Biochimie 2011, 93, 2013–2018. [Google Scholar] [CrossRef] [Green Version]
  80. Dinger, M.E.; Pang, K.C.; Mercer, T.R.; Mattick, J.S. Differentiating protein-coding and noncoding RNA: Challenges and ambiguities. PLoS Comput. Biol. 2008, 4. [Google Scholar] [CrossRef] [Green Version]
  81. Woese, C.R.; Magrum, L.J.; Gupta, R.; Siegel, R.B.; Stahl, D.A.; Kop, J.; Crawford, N.; Brosius, R.; Gutell, R.; Hogan, J.J.; et al. Secondary structure model for bacterial 16S ribosomal RNA: Phylogenetic, enzymatic and chemical evidence. Nucleic Acids Res. 1980, 8, 2275–2294. [Google Scholar] [CrossRef] [Green Version]
  82. Michel, F.; Westhof, E. Modelling of the three-dimensional architecture of group I catalytic introns based on comparative sequence analysis. J. Mol. Biol. 1990, 216, 585–610. [Google Scholar] [CrossRef]
  83. Bartel, D.P. MicroRNAs: Target Recognition and Regulatory Functions. Cell 2009, 136, 215–233. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Feuerhahn, S.; Iglesias, N.; Panza, A.; Porro, A.; Lingner, J. TERRA biogenesis, turnover and implications for function. FEBS Lett. 2010, 584, 3812–3818. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Yamashita, A.; Shichino, Y.; Yamamoto, M. The long non-coding RNA world in yeasts. Biochim. Biophys. Acta-Gene Regul. Mech. 2016, 1859, 147–154. [Google Scholar] [CrossRef]
  86. Liu, J.; Jung, C.; Xu, J.; Wang, H.; Deng, S.; Bernad, L.; Arenas-Huertero, C.; Chua, N.H. Genome-wide analysis uncovers regulation of long intergenic noncoding RNAs in arabidopsisC W. Plant. Cell 2012, 24, 4333–4345. [Google Scholar] [CrossRef] [Green Version]
  87. Li, S.; Yamada, M.; Han, X.; Ohler, U.; Benfey, P.N. High-Resolution Expression Map of the Arabidopsis Root Reveals Alternative Splicing and lincRNA Regulation. Dev. Cell 2016, 39, 508–522. [Google Scholar] [CrossRef] [Green Version]
  88. Nam, J.W.; Bartel, D.P. Long noncoding RNAs in C. elegans. Genome Res. 2012, 22, 2529–2540. [Google Scholar] [CrossRef] [Green Version]
  89. Ulitsky, I.; Shkumatava, A.; Jan, C.H.; Sive, H.; Bartel, D.P. Conserved function of lincRNAs in vertebrate embryonic development despite rapid sequence evolution. Cell 2011, 147, 1537–1550. [Google Scholar] [CrossRef] [Green Version]
  90. Hutchinson, J.N.; Ensminger, A.W.; Clemson, C.M.; Lynch, C.R.; Lawrence, J.B.; Chess, A. A screen for nuclear transcripts identifies two linked noncoding RNAs associated with SC35 splicing domains. BMC Genom. 2007, 8, 1–16. [Google Scholar] [CrossRef] [Green Version]
  91. Brown, C.J.; Hendrich, B.D.; Rupert, J.L.; Lafrenière, R.G.; Xing, Y.; Lawrence, J.; Willard, H.F. The human XIST gene: Analysis of a 17 kb inactive X-specific RNA that contains conserved repeats and is highly localized within the nucleus. Cell 1992, 71, 527–542. [Google Scholar] [CrossRef]
  92. Sone, M.; Hayashi, T.; Tarui, H.; Agata, K.; Takeichi, M.; Nakagawa, S. The mRNA-like noncoding RNA Gomafu constitutes a novel nuclear domain in a subset of neurons. J. Cell Sci. 2007, 120, 2498–2506. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Kretz, M.; Siprashvili, Z.; Chu, C.; Webster, D.E.; Zehnder, A.; Qu, K.; Lee, C.S.; Flockhart, R.J.; Groff, A.F.; Chow, J.; et al. Control of somatic tissue differentiation by the long non-coding RNA TINCR. Nature 2013, 493, 231–235. [Google Scholar] [CrossRef] [PubMed]
  94. Yoon, J.-H.; Abdelmohsen, K.; Srikantan, S.; Yang, X.; Martindale, J.L.; De, S.; Huarte, M.; Zhan, M.; Becker, K.G.; Gorospe, M. LincRNA-p21 Suppresses Target mRNA Translation. Mol. Cell 2012, 47, 648–655. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  95. Kino, T.; Hurt, D.E.; Ichijo, T.; Nader, N.; Chrousos, G.P. Noncoding RNA Gas5 is a growth arrest- and starvation-associated repressor of the glucocorticoid receptor. Sci. Signal. 2010, 3. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. Lee, J.T. Epigenetic regulation by long noncoding RNAs. Science 2012, 338, 1435–1439. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Cruz, J.A.; Westhof, E. The Dynamic Landscapes of RNA Architecture. Cell 2009, 136, 604–609. [Google Scholar] [CrossRef] [PubMed]
  98. Zhang, X.; Rice, K.; Wang, Y.; Chen, W.; Zhong, Y.; Nakayama, Y.; Zhou, Y.; Klibanski, A. Maternally expressed gene 3 (MEG3) noncoding ribonucleic acid: Isoform structure, expression, and functions. Endocrinology 2010, 151, 939–947. [Google Scholar] [CrossRef] [Green Version]
  99. Tripathi, V.; Ellis, J.D.; Shen, Z.; Song, D.Y.; Pan, Q.; Watt, A.T.; Freier, S.M.; Bennett, C.F.; Sharma, A.; Bubulya, P.A.; et al. The nuclear-retained noncoding RNA MALAT1 regulates alternative splicing by modulating SR splicing factor phosphorylation. Mol. Cell 2010, 39, 925–938. [Google Scholar] [CrossRef] [Green Version]
  100. Gupta, R.A.; Shah, N.; Wang, K.C.; Kim, J.; Horlings, H.M.; Wong, D.J.; Tsai, M.C.; Hung, T.; Argani, P.; Rinn, J.L.; et al. Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis. Nature 2010, 464, 1071–1076. [Google Scholar] [CrossRef]
  101. Tsai, M.-C.; Manor, O.; Wan, Y.; Mosammaparast, N.; Wang, J.K.; Lan, F.; Shi, Y.; Segal, E.; Chang, H.Y. Long noncoding RNA as modular scaffold of histone modification complexes. Science 2010, 329, 689–693. [Google Scholar] [CrossRef] [Green Version]
  102. Aprile, M.; Katopodi, V.; Leucci, E.; Costa, V. Lncrnas in cancer: From garbage to junk. Cancers 2020, 12, 3220. [Google Scholar] [CrossRef] [PubMed]
  103. Lee, S.; Kopp, F.; Chang, T.C.; Sataluri, A.; Chen, B.; Sivakumar, S.; Yu, H.; Xie, Y.; Mendell, J.T. Noncoding RNA NORAD Regulates Genomic Stability by Sequestering PUMILIO Proteins. Cell 2016, 164, 69–80. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  104. Wang, M.; Ogé, L.; Perez-Garcia, M.D.; Hamama, L.; Sakr, S. The PUF protein family: Overview on PUF RNA targets, biological functions, and post transcriptional regulation. Int. J. Mol. Sci. 2018, 19, 410. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Yamada, T.; Imamachi, N.; Imamura, K.; Taniue, K.; Kawamura, T.; Suzuki, Y.; Nagahama, M.; Akimitsu, N. Systematic Analysis of Targets of Pumilio-Mediated mRNA Decay Reveals that PUM1 Repression by DNA Damage Activates Translesion Synthesis. Cell Rep. 2020, 31, 107542. [Google Scholar] [CrossRef] [PubMed]
  106. Zhang, J.; Li, X.Y.; Hu, P.; Ding, Y.S. LncRNA NORAD contributes to colorectal cancer progression by inhibition of miR-202-5p. Oncol. Res. 2018, 26, 1411–1418. [Google Scholar] [CrossRef]
  107. Wu, X.; Lim, Z.F.; Li, Z.; Gu, L.; Ma, W.; Zhou, Q.; Su, H.; Wang, X.; Yang, X.; Zhang, Z. NORAD Expression Is Associated with Adverse Prognosis in Esophageal Squamous Cell Carcinoma. Oncol. Res. Treat. 2017, 40, 370–374. [Google Scholar] [CrossRef]
  108. Li, H.; Wang, X.; Wen, C.; Huo, Z.; Wang, W.; Zhan, Q.; Cheng, D.; Chen, H.; Deng, X.; Peng, C.; et al. Long noncoding RNA NORAD, a novel competing endogenous RNA, enhances the hypoxia-induced epithelial-mesenchymal transition to promote metastasis in pancreatic cancer. Mol. Cancer 2017, 16, 1–14. [Google Scholar] [CrossRef]
  109. Zhou, K.; Ou, Q.; Wang, G.; Zhang, W.; Hao, Y.; Li, W. High long non-coding RNA NORAD expression predicts poor prognosis and promotes breast cancer progression by regulating TGF-β pathway. Cancer Cell Int. 2019, 19, 1–7. [Google Scholar] [CrossRef] [Green Version]
  110. Tan, B.S.; Yang, M.C.; Singh, S.; Chou, Y.C.; Chen, H.Y.; Wang, M.Y.; Wang, Y.C.; Chen, R.H. LncRNA NORAD is repressed by the YAP pathway and suppresses lung and breast cancer metastasis by sequestering S100P. Oncogene 2019, 38, 5612–5626. [Google Scholar] [CrossRef]
  111. Li, Q.; Li, C.; Chen, J.; Liu, P.; Cui, Y.; Zhou, X.; Li, H.; Zu, X. High expression of long noncoding RNA NORAD indicates a poor prognosis and promotes clinical progression and metastasis in bladder cancer. Urol. Oncol. Semin. Orig. Investig. 2018, 36, 310.e15–310.e22. [Google Scholar] [CrossRef]
  112. Soghli, N.; Yousefi, T.; Abolghasemi, M.; Qujeq, D. NORAD, a critical long non-coding RNA in human cancers. Life Sci. 2020, 118665. [Google Scholar] [CrossRef] [PubMed]
  113. Leucci, E.; Vendramin, R.; Spinazzi, M.; Laurette, P.; Fiers, M.; Wouters, J.; Radaelli, E.; Eyckerman, S.; Leonelli, C.; Vanderheyden, K.; et al. Melanoma addiction to the long non-coding RNA SAMMSON. Nature 2016, 531, 518–522. [Google Scholar] [CrossRef] [PubMed]
  114. Vendramin, R.; Verheyden, Y.; Ishikawa, H.; Goedert, L.; Nicolas, E.; Saraf, K.; Armaos, A.; Delli Ponti, R.; Izumikawa, K.; Mestdagh, P.; et al. SAMMSON fosters cancer cell fitness by concertedly enhancing mitochondrial and cytosolic translation. Nat. Struct. Mol. Biol. 2018, 25, 1035–1046. [Google Scholar] [CrossRef] [PubMed]
  115. Beroukhim, R.; Mermel, C.H.; Porter, D.; Wei, G.; Raychaudhuri, S.; Donovan, J.; Barretina, J.; Boehm, J.S.; Dobson, J.; Urashima, M.; et al. The landscape of somatic copy-number alteration across human cancers. Nature 2010, 463, 899–905. [Google Scholar] [CrossRef]
  116. Shtivelman, E.; Henglein, B.; Groitl, P.; Lipp, M.; Bishop, J.M. Identification of a human transcription unit affected by the variant chromosomal translocations 2;8 and 8;22 of Burkitt lymphoma. Proc. Natl. Acad. Sci. USA 1989, 86, 3257–3260. [Google Scholar] [CrossRef] [Green Version]
  117. Prensner, J.R.; Iyer, M.K.; Balbin, O.A.; Dhanasekaran, S.M.; Cao, Q.; Brenner, J.C.; Laxman, B.; Asangani, I.A.; Grasso, C.S.; Kominsky, H.D.; et al. Transcriptome sequencing across a prostate cancer cohort identifies PCAT-1, an unannotated lincRNA implicated in disease progression. Nat. Biotechnol. 2011, 29, 742–749. [Google Scholar] [CrossRef] [Green Version]
  118. Ling, H.; Spizzo, R.; Atlasi, Y.; Nicoloso, M.; Shimizu, M.; Redis, R.S.; Nishida, N.; Gafà, R.; Song, J.; Guo, Z.; et al. CCAT2, a novel noncoding RNA mapping to 8q24, underlies metastatic progression and chromosomal instability in colon cancer. Genome Res. 2013, 23, 1446–1461. [Google Scholar] [CrossRef] [Green Version]
  119. Kim, T.; Cui, R.; Jeon, Y.J.; Lee, J.H.; Lee, J.H.; Sim, H.; Park, J.K.; Fadda, P.; Tili, E.; Nakanishi, H.; et al. Long-range interaction and correlation between MYC enhancer and oncogenic long noncoding RNA CARLo-5. Proc. Natl. Acad. Sci. USA 2014, 111, 4173–4178. [Google Scholar] [CrossRef] [Green Version]
  120. Tseng, Y.Y.; Moriarity, B.S.; Gong, W.; Akiyama, R.; Tiwari, A.; Kawakami, H.; Ronning, P.; Reuland, B.; Guenther, K.; Beadnell, T.C.; et al. PVT1 dependence in cancer with MYC copy-number increase. Nature 2014, 512, 82–86. [Google Scholar] [CrossRef]
  121. Prensner, J.R.; Chen, W.; Han, S.; Iyer, M.K.; Cao, Q.; Kothari, V.; Evans, J.R.; Knudsen, K.E.; Paulsen, M.T.; Ljungman, M.; et al. The Long Non-Coding RNA PCAT-1 Promotes Prostate Cancer Cell Proliferation through cMyc. Neoplasia 2014, 16, 900–908. [Google Scholar] [CrossRef] [Green Version]
  122. Doose, G.; Haake, A.; Bernhart, S.H.; López, C.; Duggimpudi, S.; Wojciech, F.; Bergmann, A.K.; Borkhardt, A.; Burkhardt, B.; Claviez, A.; et al. MINCR is a MYC-induced lncRNA able to modulate MYC’s transcriptional network in Burkitt lymphoma cells. Proc. Natl. Acad. Sci. USA 2015, 112, E5261–E5270. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  123. Shtivelman, E.; Bishop, J.M. The PVT gene frequently amplifies with MYC in tumor cells. Mol. Cell. Biol. 1989, 9, 1148–1154. [Google Scholar] [CrossRef] [PubMed]
  124. Graham, M.; Adams, J.M. Chromosome 8 breakpoint far 3′ of the c-myc oncogene in a Burkitt’s lymphoma 2;8 variant translocation is equivalent to the murine pvt-1 locus. EMBO J. 1986, 5, 2845–2851. [Google Scholar] [CrossRef] [PubMed]
  125. Nagoshi, H.; Taki, T.; Hanamura, I.; Nitta, M.; Otsuki, T.; Nishida, K.; Okuda, K.; Sakamoto, N.; Kobayashi, S.; Yamamoto-Sugitani, M.; et al. Frequent PVT1 rearrangement and novel chimeric genes PVT1-NBEA and PVT1-WWOX occur in multiple myeloma with 8q24 abnormality. Cancer Res. 2012, 72, 4954–4962. [Google Scholar] [CrossRef] [Green Version]
  126. Northcott, P.A.; Shih, D.J.H.; Peacock, J.; Garzia, L.; Sorana Morrissy, A.; Zichner, T.; Stútz, A.M.; Korshunov, A.; Reimand, J.; Schumacher, S.E.; et al. Subgroup-specific structural variation across 1,000 medulloblastoma genomes. Nature 2012, 487, 49–56. [Google Scholar] [CrossRef]
  127. Cui, M.; You, L.; Ren, X.; Zhao, W.; Liao, Q.; Zhao, Y. Long non-coding RNA PVT1 and cancer. Biochem. Biophys. Res. Commun. 2016, 471, 10–14. [Google Scholar] [CrossRef]
  128. Guan, Y.; Kuo, W.L.; Stilwell, J.L.; Takano, H.; Lapuk, A.V.; Fridlyand, J.; Mao, J.H.; Yu, M.; Miller, M.A.; Santos, J.L.; et al. Amplification of PVT1 contributes to the pathophysiology of ovarian and breast cancer. Clin. Cancer Res. 2007, 13, 5745–5755. [Google Scholar] [CrossRef] [Green Version]
  129. Riquelme, E.; Suraokar, M.B.; Rodriguez, J.; Mino, B.; Lin, H.Y.; Rice, D.C.; Tsao, A.; Wistuba, I.I. Frequent coamplification and cooperation between C-MYC and PVT1 oncogenes promote malignant pleural mesothelioma. J. Thorac. Oncol. 2014, 9, 998–1007. [Google Scholar] [CrossRef] [Green Version]
  130. Xiang, J.F.; Yin, Q.F.; Chen, T.; Zhang, Y.; Zhang, X.O.; Wu, Z.; Zhang, S.; Wang, H.B.; Ge, J.; Lu, X.; et al. Human colorectal cancer-specific CCAT1-L lncRNA regulates long-range chromatin interactions at the MYC locus. Cell Res. 2014, 24, 513–531. [Google Scholar] [CrossRef] [Green Version]
  131. Chen, S.; Gu, T.; Lu, Z.; Qiu, L.; Xiao, G.; Zhu, X.; Li, F.; Yu, H.; Li, G.; Liu, H. Roles of MYC-targeting long non-coding RNA MINCR in cell cycle regulation and apoptosis in non-small cell lung Cancer. Respir. Res. 2019, 20, 1–11. [Google Scholar] [CrossRef]
  132. Kotake, Y.; Nakagawa, T.; Kitagawa, K.; Suzuki, S.; Liu, N.; Kitagawa, M.; Xiong, Y. Long non-coding RNA ANRIL is required for the PRC2 recruitment to and silencing of p15 INK4B tumor suppressor gene. Oncogene 2011, 30, 1956–1962. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  133. Yu, W.; Gius, D.; Onyango, P.; Muldoon-Jacobs, K.; Karp, J.; Feinberg, A.P.; Cui, H. Epigenetic silencing of tumour suppressor gene p15 by its antisense RNA. Nature 2008, 451, 202–206. [Google Scholar] [CrossRef] [PubMed]
  134. Arab, K.; Park, Y.J.; Lindroth, A.M.; Schäfer, A.; Oakes, C.; Weichenhan, D.; Lukanova, A.; Lundin, E.; Risch, A.; Meister, M.; et al. Long noncoding RNA TARID directs demethylation and activation of the tumor suppressor TCF21 via GADD45A. Mol. Cell 2014, 55, 604–614. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  135. Gibb, E.A.; Vucic, E.A.; Enfield, K.S.S.; Stewart, G.L.; Lonergan, K.M.; Kennett, J.Y.; Becker-Santos, D.D.; MacAulay, C.E.; Lam, S.; Brown, C.J.; et al. Human cancer long non-coding RNA transcriptomes. PLoS ONE 2011, 6, 1–10. [Google Scholar] [CrossRef] [Green Version]
  136. Hudson, W.H.; Pickard, M.R.; De Vera, I.M.S.; Kuiper, E.G.; Mourtada-Maarabouni, M.; Conn, G.L.; Kojetin, D.J.; Williams, G.T.; Ortlund, E.A. Conserved sequence-specific lincRNA-steroid receptor interactions drive transcriptional repression and direct cell fate. Nat. Commun. 2014, 5. [Google Scholar] [CrossRef] [Green Version]
  137. Mourtada-Maarabouni, M.; Pickard, M.R.; Hedge, V.L.; Farzaneh, F.; Williams, G.T. GAS5, a non-protein-coding RNA, controls apoptosis and is downregulated in breast cancer. Oncogene 2009, 28, 195–208. [Google Scholar] [CrossRef] [Green Version]
  138. Tani, H.; Torimura, M.; Akimitsu, N. The RNA Degradation Pathway Regulates the Function of GAS5 a Non-Coding RNA in Mammalian Cells. PLoS ONE 2013, 8, 1–9. [Google Scholar] [CrossRef]
  139. Pickard, M.R.; Williams, G.T. Molecular and cellular mechanisms of action of tumour suppressor GAS5 LncRNA. Genes 2015, 6, 484–499. [Google Scholar] [CrossRef] [Green Version]
  140. Goustin, A.S.; Thepsuwan, P.; Kosir, M.A.; Lipovich, L. The Growth-Arrest-Specific (GAS)-5 Long Non-Coding RNA: A Fascinating lncRNA Widely Expressed in Cancers. Non-Coding RNA 2019, 5, 46. [Google Scholar] [CrossRef] [Green Version]
  141. Salmena, L.; Carracedo, A.; Pandolfi, P.P. Tenets of PTEN Tumor Suppression. Cell 2008, 133, 403–414. [Google Scholar] [CrossRef] [Green Version]
  142. Alimonti, A.; Carracedo, A.; Clohessy, J.G.; Trotman, L.C.; Nardella, C.; Egia, A.; Salmena, L.; Sampieri, K.; Haveman, W.J.; Brogi, E.; et al. Subtle variations in Pten dose determine cancer susceptibility. Nat. Genet. 2010, 42, 454–458. [Google Scholar] [CrossRef] [PubMed]
  143. Poliseno, L.; Salmena, L.; Zhang, J.; Carver, B.; Haveman, W.J.; Pandolfi, P.P. A coding-independent function of gene and pseudogene mRNAs regulates tumour biology. Nature 2010, 465, 1033–1038. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  144. Rigoutsos, I.; Furnari, F. NEWS & VIEWS: Decoy for microRNAs. Nature 2010, 465, 1016–1017. [Google Scholar] [PubMed]
  145. Lane, D.P. p53, guardian of the genome. Nature 1992, 358, 15–16. [Google Scholar] [CrossRef] [PubMed]
  146. Dimitrova, N.; Zamudio, J.R.; Jong, R.M.; Soukup, D.; Resnick, R.; Sarma, K.; Ward, A.J.; Raj, A.; Lee, J.T.; Sharp, P.A.; et al. LincRNA-p21 Activates p21 In cis to Promote Polycomb Target Gene Expression and to Enforce the G1/S Checkpoint. Mol. Cell 2014, 54, 777–790. [Google Scholar] [CrossRef] [Green Version]
  147. Wang, G.; Li, Z.; Zhao, Q.; Zhu, Y.; Zhao, C.; Li, X.; Ma, Z.; Li, X.; Zhang, Y. LincRNA-p21 enhances the sensitivity of radiotherapy for human colorectal cancer by targeting the Wnt/β-catenin signaling pathway. Oncol. Rep. 2014, 31, 1839–1845. [Google Scholar] [CrossRef] [Green Version]
  148. Zhai, H.; Fesler, A.; Schee, K.; Fodstad, Ø.; Flatmark, K.; Ju, J. Clinical significance of long intergenic noncoding RNA-p21 in colorectal Cancer. Clin. Colorectal Cancer 2013, 12, 261–266. [Google Scholar] [CrossRef]
  149. Peng, W.; Wu, J.; Feng, J. LincRNA-p21 predicts favorable clinical outcome and impairs tumorigenesis in diffuse large B cell lymphoma patients treated with R-CHOP chemotherapy. Clin. Exp. Med. 2017, 17, 1–8. [Google Scholar] [CrossRef]
  150. Hung, T.; Wang, Y.; Lin, M.F.; Koegel, A.K.; Kotake, Y.; Grant, G.D.; Horlings, H.M.; Shah, N.; Umbricht, C.; Wang, P.; et al. Extensive and coordinated transcription of noncoding RNAs within cell-cycle promoters. Nat. Genet. 2011, 43, 621–629. [Google Scholar] [CrossRef] [Green Version]
  151. Hu, W.L.; Jin, L.; Xu, A.; Wang, Y.F.; Thorne, R.F.; Zhang, X.D.; Wu, M. GUARDIN is a p53-responsive long non-coding RNA that is essential for genomic stability. Nat. Cell Biol. 2018, 20, 492–502. [Google Scholar] [CrossRef]
  152. Léveillé, N.; Melo, C.A.; Rooijers, K.; Díaz-Lagares, A.; Melo, S.A.; Korkmaz, G.; Lopes, R.; Moqadam, F.A.; Maia, A.R.; Wijchers, P.J.; et al. Genome-wide profiling of p53-regulated enhancer RNAs uncovers a subset of enhancers controlled by a lncRNA. Nat. Commun. 2015, 6. [Google Scholar] [CrossRef] [PubMed]
  153. Miyoshi, N.; Wagatsuma, H.; Wakana, S.; Shiroishi, T.; Nomura, M.; Aisaka, K.; Kohda, T.; Azim Surani, M.; Kaneko-Ishino, T.; Ishino, F. Identification of an imprinted gene, Meg3/Gtl2 and its human homologue MEG3, first mapped on mouse distal chromosome 12 and human chromosome 14q. Genes Cells 2000, 5, 211–220. [Google Scholar] [CrossRef] [PubMed]
  154. Zhang, X.; Zhou, Y.; Mehta, K.R.; Danila, D.C.; Scolavino, S.; Johnson, S.R.; Klibanski, A. A Pituitary-Derived MEG3 Isoform Functions as a Growth Suppressor in Tumor Cells. J. Clin. Endocrinol. Metab. 2003, 88, 5119–5126. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  155. Zhou, Y.; Zhong, Y.; Wang, Y.; Zhang, X.; Batista, D.L.; Gejman, R.; Ansell, P.J.; Zhao, J.; Weng, C.; Klibanski, A. Activation of p53 by MEG3 non-coding RNA. J. Biol. Chem. 2007, 282, 24731–24742. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  156. Wang, P.; Ren, Z.; Sun, P. Overexpression of the long non-coding RNA MEG3 impairs in vitro glioma cell proliferation. J. Cell. Biochem. 2012, 113, 1868–1874. [Google Scholar] [CrossRef]
  157. Braconi, C.; Kogure, T.; Valeri, N.; Huang, N.; Nuovo, G.; Costinean, S.; Negrini, M.; Miotto, E.; Croce, C.M.; Patel, T. MicroRNA-29 can regulate expression of the long non-coding RNA gene MEG3 in hepatocellular cancer. Oncogene 2011, 30, 4750–4756. [Google Scholar] [CrossRef] [Green Version]
  158. Adriaens, C.; Standaert, L.; Barra, J.; Latil, M.; Verfaillie, A.; Kalev, P.; Boeckx, B.; Wijnhoven, P.W.G.; Radaelli, E.; Vermi, W.; et al. P53 induces formation of NEAT1 lncRNA-containing paraspeckles that modulate replication stress response and chemosensitivity. Nat. Med. 2016, 22, 861–868. [Google Scholar] [CrossRef]
  159. Fox, A.H.; Nakagawa, S.; Hirose, T.; Bond, C.S. Paraspeckles: Where Long Noncoding RNA Meets Phase Separation. Trends Biochem. Sci. 2018, 43, 124–135. [Google Scholar] [CrossRef] [Green Version]
  160. Fox, A.H.; Lamond, A.I. Paraspeckles. Cold Spring Harb. Perspect. Biol. 2010, 2, a000687. [Google Scholar] [CrossRef]
  161. Imamura, K.; Imamachi, N.; Akizuki, G.; Kumakura, M.; Kawaguchi, A.; Nagata, K.; Kato, A.; Kawaguchi, Y.; Sato, H.; Yoneda, M.; et al. Long Noncoding RNA NEAT1-Dependent SFPQ Relocation from Promoter Region to Paraspeckle Mediates IL8 Expression upon Immune Stimuli. Mol. Cell 2014, 53, 393–406. [Google Scholar] [CrossRef] [Green Version]
  162. Imamura, K.; Takaya, A.; Ishida, Y.; Fukuoka, Y.; Taya, T.; Nakaki, R.; Kakeda, M.; Imamachi, N.; Sato, A.; Yamada, T.; et al. Diminished nuclear RNA decay upon Salmonella infection upregulates antibacterial noncoding RNAs. EMBO J. 2018, 37, 1–15. [Google Scholar] [CrossRef] [PubMed]
  163. Zhang, F.; Wu, L.; Qian, J.; Qu, B.; Xia, S.; La, T.; Wu, Y.; Ma, J.; Zeng, J.; Guo, Q.; et al. Identification of the long noncoding RNA NEAT1 as a novel inflammatory regulator acting through MAPK pathway in human lupus. J. Autoimmun. 2016, 75, 96–104. [Google Scholar] [CrossRef] [PubMed]
  164. Sun, X.; Kawata, K.; Miki, A.; Wada, Y.; Nagahama, M.; Takaya, A.; Akimitsu, N. Exploration of Salmonella effector mutant strains on MTR4 and RRP6 degradation. Biosci. Trends 2020, 14, 255–262. [Google Scholar] [CrossRef] [PubMed]
  165. Zhang, P.; Cao, L.; Zhou, R.; Yang, X.; Wu, M. The lncRNA Neat1 promotes activation of inflammasomes in macrophages. Nat. Commun. 2019, 10, 1–17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  166. Blume, C.J.; Hotz-Wagenblatt, A.; Hüllein, J.; Sellner, L.; Jethwa, A.; Stolz, T.; Slabicki, M.; Lee, K.; Sharathchandra, A.; Benner, A.; et al. P53-dependent non-coding RNA networks in chronic lymphocytic leukemia. Leukemia 2015, 29, 2015–2023. [Google Scholar] [CrossRef]
  167. Ke, H.; Zhao, L.; Feng, X.; Xu, H.; Zou, L.; Yang, Q.; Su, X.; Peng, L.; Jiao, B. NEAT1 is required for survival of breast cancer cells through FUS and miR-548. Gene Regul. Syst. Bio. 2016, 10, 11–17. [Google Scholar] [CrossRef] [Green Version]
  168. Mello, S.S.; Sinow, C.; Raj, N.; Mazur, P.K.; Bieging-Rolett, K.; Broz, D.K.; Imam, J.F.C.; Vogel, H.; Wood, L.D.; Sage, J.; et al. Neat1 is a p53-inducible lincRNA essential for transformation suppression. Genes Dev. 2017, 31, 1095–1108. [Google Scholar] [CrossRef] [Green Version]
  169. Ji, P.; Diederichs, S.; Wang, W.; Böing, S.; Metzger, R.; Schneider, P.M.; Tidow, N.; Brandt, B.; Buerger, H.; Bulk, E.; et al. MALAT-1, a novel noncoding RNA, and thymosin β4 predict metastasis and survival in early-stage non-small cell lung cancer. Oncogene 2003, 22, 8031–8041. [Google Scholar] [CrossRef] [Green Version]
  170. Tano, K.; Mizuno, R.; Okada, T.; Rakwal, R.; Shibato, J.; Masuo, Y. MALAT-1 enhances cell motility of lung adenocarcinoma cells by influencing the expression of motility-related genes. FEBS Lett. 2010, 584, 4575–4580. [Google Scholar] [CrossRef] [Green Version]
  171. Tano, K.; Onoguchi-Mizutani, R.; Yeasmin, F.; Uchiumi, F.; Suzuki, Y.; Yada, T.; Akimitsu, N. Identification of minimal p53 promoter region regulated by MALAT1 in human lung adenocarcinoma cells. Front. Genet. 2018, 9, 1–10. [Google Scholar] [CrossRef] [Green Version]
  172. Gutschner, T.; Hämmerle, M.; Diederichs, S. MALAT1-A paradigm for long noncoding RNA function in cancer. J. Mol. Med. 2013, 91, 791–801. [Google Scholar] [CrossRef]
  173. Nakagawa, S.; Ip, J.Y.; Shioi, G.; Tripathi, V.; Zong, X.; Hirose, T.; Prasanth, K.V. Malat1 is not an essential component of nuclear speckles in mice. Rna 2012, 18, 1487–1499. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  174. Zhang, B.; Arun, G.; Mao, Y.S.; Lazar, Z.; Hung, G.; Bhattacharjee, G.; Xiao, X.; Booth, C.J.; Wu, J.; Zhang, C.; et al. The lncRNA malat1 is dispensable for mouse development but its transcription plays a cis-regulatory role in the adult. Cell Rep. 2012, 2, 111–123. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  175. Gutschner, T.; Hämmerle, M.; Eißmann, M.; Hsu, J.; Kim, Y.; Hung, G.; Revenko, A.; Arun, G.; Stentrup, M.; Groß, M.; et al. The noncoding RNA MALAT1 is a critical regulator of the metastasis phenotype of lung cancer cells. Cancer Res. 2013, 73, 1180–1189. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  176. Tani, H.; Nakamura, Y.; Ijiri, K.; Akimitsu, N. Stability of MALAT-1, a nuclear long non-coding RNA in mammalian cells, varies in various cancer cells. Drug Discov. Ther. 2010, 4, 235–239. [Google Scholar] [PubMed]
  177. Miyagawa, R.; Tano, K.; Mizuno, R.I.E.; Nakamura, Y.O.; Ijiri, K.; Rakwal, R.; Shibato, J.; Masuo, Y.; Mayeda, A.; Hirose, T.; et al. Identification of cis- and trans-acting factors involved in the localization of MALAT-1 noncoding RNA to nuclear speckles. Rna 2012, 18, 738–751. [Google Scholar] [CrossRef] [Green Version]
  178. Yang, L.; Lin, C.; Liu, W.; Zhang, J.; Ohgi, K.A.; Grinstein, J.D.; Dorrestein, P.C.; Rosenfeld, M.G. NcRNA- and Pc2 methylation-dependent gene relocation between nuclear structures mediates gene activation programs. Cell 2011, 147, 773–788. [Google Scholar] [CrossRef] [Green Version]
  179. West, J.A.; Davis, C.P.; Sunwoo, H.; Simon, M.D.; Sadreyev, R.I.; Wang, P.I.; Tolstorukov, M.Y.; Kingston, R.E. The Long Noncoding RNAs NEAT1 and MALAT1 Bind Active Chromatin Sites. Mol. Cell 2014, 55, 791–802. [Google Scholar] [CrossRef] [Green Version]
  180. Zhang, J.; Zhang, P.; Wang, L.; Piao, H.L.; Ma, L. Long non-coding RNA HOTAIR in carcinogenesis and metastasis. Acta Biochim. Biophys. Sin. 2014, 46, 1–5. [Google Scholar] [CrossRef] [Green Version]
  181. Kogo, R.; Shimamura, T.; Mimori, K.; Kawahara, K.; Imoto, S.; Sudo, T.; Tanaka, F.; Shibata, K.; Suzuki, A.; Komune, S.; et al. Long noncoding RNA HOTAIR regulates polycomb-dependent chromatin modification and is associated with poor prognosis in colorectal cancers. Cancer Res. 2011, 71, 6320–6326. [Google Scholar] [CrossRef] [Green Version]
  182. Yuan, J.H.; Yang, F.; Wang, F.; Ma, J.Z.; Guo, Y.J.; Tao, Q.F.; Liu, F.; Pan, W.; Wang, T.T.; Zhou, C.C.; et al. A Long Noncoding RNA Activated by TGF-β promotes the invasion-metastasis cascade in hepatocellular carcinoma. Cancer Cell 2014, 25, 666–681. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  183. Prensner, J.R.; Iyer, M.K.; Sahu, A.; Asangani, I.A.; Cao, Q.; Patel, L.; Vergara, I.A.; Davicioni, E.; Erho, N.; Ghadessi, M.; et al. The long noncoding RNA SChLAP1 promotes aggressive prostate cancer and antagonizes the SWI/SNF complex. Nat. Genet. 2013, 45, 1392–1403. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  184. Prensner, J.R.; Zhao, S.; Erho, N.; Schipper, M.; Iyer, M.K.; Dhanasekaran, S.M.; Magi-Galluzzi, C.; Mehra, R.; Sahu, A.; Siddiqui, J.; et al. RNA biomarkers associated with metastatic progression in prostate cancer: A multi-institutional high-throughput analysis of SChLAP1. Lancet Oncol. 2014, 15, 1469–1480. [Google Scholar] [CrossRef] [Green Version]
  185. Xing, Z.; Lin, A.; Li, C.; Liang, K.; Wang, S.; Liu, Y.; Park, P.K.; Qin, L.; Wei, Y.; Hawke, D.H.; et al. LncRNA directs cooperative epigenetic regulation downstream of chemokine signals. Cell 2014, 159, 1110–1125. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  186. Bussemakers, M.J.G.; Van Bokhoven, A.; Verhaegh, G.W.; Smit, F.P.; Karthaus, H.F.M.; Schalken, J.A.; Debruyne, F.M.J.; Ru, N.; Isaacs, W.B. DD3: A new prostate-specific gene, highly overexpressed in prostate cancer. Cancer Res. 1999, 59, 5975–5979. [Google Scholar] [PubMed]
  187. Srikantan, V.; Zou, Z.; Petrovics, G.; Xu, L.; Augustus, M.; Davis, L.; Livezey, J.R.; Connell, T.; Sesterhenn, I.A.; Yoshino, K.; et al. PCGEM1, a prostate-specific gene, is overexpressed in prostate cancer. Proc. Natl. Acad. Sci. USA 2000, 97, 12216–12221. [Google Scholar] [CrossRef] [Green Version]
  188. Hessels, D.; Klein Gunnewiek, J.M.T.; Van Oort, I.; Karthaus, H.F.M.; Van Leenders, G.J.L.; Van Balken, B.; Kiemeney, L.A.; Witjes, J.A.; Schalken, J.A.; Culig, Z. DD3PCA3-based molecular urine analysis for the diagnosis of prostate cancer. Eur. Urol. 2003, 44, 8–16. [Google Scholar] [CrossRef]
  189. Yang, W.; He, F.; Li, Y.; Zhai, Y.; Tan, B.; Wu, H. Long non-coding RNA PCGEM1 as a biomarker for prostate cancer. ScienceAsia 2016, 42, 201–206. [Google Scholar] [CrossRef] [Green Version]
  190. Iyer, M.K.; Niknafs, Y.S.; Malik, R.; Singhal, U.; Sahu, A.; Hosono, Y.; Barrette, T.R.; Prensner, J.R.; Evans, J.R.; Zhao, S.; et al. The landscape of long noncoding RNAs in the human transcriptome. Nat. Genet. 2015, 47, 199–208. [Google Scholar] [CrossRef]
  191. Du, Z.; Fei, T.; Verhaak, R.G.W.; Su, Z.; Zhang, Y.; Brown, M.; Chen, Y.; Liu, X.S. Integrative genomic analyses reveal clinically relevant long noncoding RNAs in human cancer. Nat. Struct. Mol. Biol. 2013, 20, 908–913. [Google Scholar] [CrossRef] [Green Version]
  192. Yan, X.; Hu, Z.; Feng, Y.; Hu, X.; Yuan, J.; Zhao, S.D.; Zhang, Y.; Yang, L.; Shan, W.; He, Q.; et al. Comprehensive Genomic Characterization of Long Non-coding RNAs across Human Cancers. Cancer Cell 2015, 28, 529–540. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  193. Ashouri, A.; Sayin, V.I.; Van den Eynden, J.; Singh, S.X.; Papagiannakopoulos, T.; Larsson, E. Pan-cancer transcriptomic analysis associates long non-coding RNAs with key mutational driver events. Nat. Commun. 2016, 7, 13197. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  194. Chiu, H.S.; Somvanshi, S.; Patel, E.; Chen, T.W.; Singh, V.P.; Zorman, B.; Patil, S.L.; Pan, Y.; Chatterjee, S.S.; Caesar-Johnson, S.J.; et al. Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context. Cell Rep. 2018, 23, 297–312.e12. [Google Scholar] [CrossRef] [PubMed]
  195. Chu, C.; Qu, K.; Zhong, F.L.; Artandi, S.E.; Chang, H.Y. Genomic Maps of Long Noncoding RNA Occupancy Reveal Principles of RNA-Chromatin Interactions. Mol. Cell 2011, 44, 667–678. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  196. Simon, M.D.; Wang, C.I.; Kharchenko, P.V.; West, J.A.; Chapman, B.A.; Alekseyenko, A.A.; Borowsky, M.L.; Kuroda, M.I.; Kingston, R.E. The genomic binding sites of a noncoding RNA. Proc. Natl. Acad. Sci. USA 2011, 108, 20497–20502. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  197. Simon, M.D.; Pinter, S.F.; Fang, R.; Sarma, K.; Rutenberg-Schoenberg, M.; Bowman, S.K.; Kesner, B.A.; Maier, V.K.; Kingston, R.E.; Lee, J.T. High-resolution Xist binding maps reveal two-step spreading during X-chromosome inactivation. Nature 2013, 504, 465–469. [Google Scholar] [CrossRef] [Green Version]
  198. Engreitz, J.M.; Pandya-Jones, A.; McDonel, P.; Shishkin, A.; Sirokman, K.; Surka, C.; Kadri, S.; Xing, J.; Goren, A.; Lander, E.S.; et al. The Xist lncRNA exploits three-dimensional genome architecture to spread across the X chromosome. Science 2013, 341, 1–9. [Google Scholar] [CrossRef] [Green Version]
  199. Engreitz, J.M.; Sirokman, K.; McDonel, P.; Shishkin, A.A.; Surka, C.; Russell, P.; Grossman, S.R.; Chow, A.Y.; Guttman, M.; Lander, E.S. RNA-RNA interactions enable specific targeting of noncoding RNAs to nascent pre-mRNAs and chromatin sites. Cell 2014, 159, 188–199. [Google Scholar] [CrossRef] [Green Version]
  200. Li, L.; Chang, H.Y. Physiological roles of long noncoding RNAs: Insight from knockout mice. Trends Cell Biol. 2014, 24, 594–602. [Google Scholar] [CrossRef] [Green Version]
  201. Sauvageau, M.; Goff, L.A.; Lodato, S.; Bonev, B.; Groff, A.F.; Gerhardinger, C.; Sanchez-Gomez, D.B.; Hacisuleyman, E.; Li, E.; Spence, M.; et al. Multiple knockout mouse models reveal lincRNAs are required for life and brain development. Elife 2013, 2013, 1–24. [Google Scholar] [CrossRef] [Green Version]
  202. Grote, P.; Wittler, L.; Hendrix, D.; Koch, F.; Währisch, S.; Beisaw, A.; Macura, K.; Bläss, G.; Kellis, M.; Werber, M.; et al. The Tissue-Specific lncRNA Fendrr Is an Essential Regulator of Heart and Body Wall Development in the Mouse. Dev. Cell 2013, 24, 206–214. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  203. Maison, C.; Bailly, D.; Peters, A.H.F.M.; Quivy, J.P.; Roche, D.; Taddei, A.; Lachner, M.; Jenuwein, T.; Almouzni, G. Higher-order structure in pericentric heterochromatin involves a distinct pattern of histone modification and an RNA component. Nat. Genet. 2002, 30, 329–334. [Google Scholar] [CrossRef] [PubMed]
  204. Wutz, A.; Rasmussen, T.P.; Jaenisch, R. Chromosomal silencing and localization are mediated by different domains of Xist RNA. Nat. Genet. 2002, 30, 167–174. [Google Scholar] [CrossRef] [PubMed]
  205. Bernstein, E.; Duncan, E.M.; Masui, O.; Gil, J.; Heard, E.; Allis, C.D. Mouse Polycomb Proteins Bind Differentially to Methylated Histone H3 and RNA and Are Enriched in Facultative Heterochromatin. Mol. Cell. Biol. 2006, 26, 2560–2569. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  206. Hogan, D.J.; Riordan, D.P.; Gerber, A.P.; Herschlag, D.; Brown, P.O. Diverse RNA-binding proteins interact with functionally related sets of RNAs, suggesting an extensive regulatory system. PLoS Biol. 2008, 6, 2297–2313. [Google Scholar] [CrossRef] [Green Version]
  207. Battistelli, C.; Cicchini, C.; Santangelo, L.; Tramontano, A.; Grassi, L.; Gonzalez, F.J.; De Nonno, V.; Grassi, G.; Amicone, L.; Tripodi, M. The Snail repressor recruits EZH2 to specific genomic sites through the enrollment of the lncRNA HOTAIR in epithelial-to-mesenchymal transition. Oncogene 2017, 36, 942–955. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  208. Li, M.; Gou, H.; Tripathi, B.K.; Huang, J.; Jiang, S.; Dubois, W.; Waybright, T.; Lei, M.; Shi, J.; Zhou, M. An Apela RNA-Containing Negative Feedback Loop Regulates p53-Mediated Apoptosis in Embryonic Stem Cells. Cell Stem Cell 2015, 16, 669–683. [Google Scholar] [CrossRef] [Green Version]
  209. Zhang, A.; Zhao, J.C.; Kim, J.; Fong, K.W.; Yang, Y.A.; Chakravarti, D.; Mo, Y.Y.; Yu, J. LncRNA HOTAIR Enhances the Androgen-Receptor-Mediated Transcriptional Program and Drives Castration-Resistant Prostate Cancer. Cell Rep. 2015, 13, 209–221. [Google Scholar] [CrossRef] [Green Version]
  210. Prensner, J.R.; Sahu, A.; Iyer, M.K.; Malik, R.; Chandler, B.; Asangani, I.A.; Poliakov, A.; Vergara, I.A.; Alshalalfa, M.; Jenkins, R.B.; et al. The IncRNAs PCGEM1 and PRNCR1 are not implicated in castration resistant prostate cancer. Oncotarget 2014, 5, 1434–1438. [Google Scholar] [CrossRef] [Green Version]
  211. Bennett, C.F.; Swayze, E.E. RNA targeting therapeutics: Molecular mechanisms of antisense oligonucleotides as a therapeutic platform. Annu. Rev. Pharmacol. Toxicol. 2010, 50, 259–293. [Google Scholar] [CrossRef]
  212. Kole, R.; Krainer, A.R.; Altman, S. RNA therapeutics: Beyond RNA interference and antisense oligonucleotides. Nat. Rev. Drug Discov. 2012, 11, 125–140. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  213. Crooke, S.T.; Witztum, J.L.; Bennett, C.F.; Baker, B.F. RNA-Targeted Therapeutics. Cell Metab. 2018, 27, 714–739. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  214. Wiedenheft, B.; Sternberg, S.H.; Doudna, J.A. RNA-guided genetic silencing systems in bacteria and archaea. Nature 2012, 482, 331–338. [Google Scholar] [CrossRef] [PubMed]
  215. Miller, J.C.; Holmes, M.C.; Wang, J.; Guschin, D.Y.; Lee, Y.L.; Rupniewski, I.; Beausejour, C.M.; Waite, A.J.; Wang, N.S.; Kim, K.A.; et al. An improved zinc-finger nuclease architecture for highly specific genome editing. Nat. Biotechnol. 2007, 25, 778–785. [Google Scholar] [CrossRef] [PubMed]
  216. Zhang, F.; Cong, L.; Lodato, S.; Kosuri, S.; Church, G.M.; Arlotta, P. Efficient construction of sequence-specific TAL effectors for modulating mammalian transcription. Nat. Biotechnol. 2011, 29, 149–154. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  217. Ho, T.T.; Zhou, N.; Huang, J.; Koirala, P.; Xu, M.; Fung, R.; Wu, F.; Mo, Y.Y. Targeting non-coding RNAs with the CRISPR/Cas9 system in human cell lines. Nucleic Acids Res. 2015, 43, e17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  218. Han, J.; Zhang, J.; Chen, L.; Shen, B.; Zhou, J.; Hu, B.; Du, Y.; Tate, P.H.; Huang, X.; Zhang, W. Efficient in vivo deletion of a large imprinted lncRNA by CRISPR/Cas9. RNA Biol. 2014, 11, 829–835. [Google Scholar] [CrossRef]
  219. Eißmann, M.; Gutschner, T.; Hämmerle, M.; Günther, S.; Caudron-Herger, M.; Groß, M.; Schirmacher, P.; Rippe, K.; Braun, T.; Zörnig, M.; et al. Loss of the abundant nuclear non-coding RNA MALAT1 is compatible with life and development. RNA Biol. 2012, 9, 1076–1087. [Google Scholar] [CrossRef] [Green Version]
  220. Fu, Y.; Foden, J.A.; Khayter, C.; Maeder, M.L.; Reyon, D.; Joung, J.K.; Sander, J.D. High-frequency off-target mutagenesis induced by CRISPR-Cas nucleases in human cells. Nat. Biotechnol. 2013, 31, 822–826. [Google Scholar] [CrossRef] [Green Version]
  221. Pattanayak, V.; Lin, S.; Guilinger, J.P.; Ma, E.; Doudna, J.A.; Liu, D.R. High-throughput profiling of off-target DNA cleavage reveals RNA-programmed Cas9 nuclease specificity. Nat. Biotechnol. 2013, 31, 839–843. [Google Scholar] [CrossRef]
  222. Kleinstiver, B.P.; Tsai, S.Q.; Prew, M.S.; Nguyen, N.T.; Welch, M.M.; Lopez, J.M.; McCaw, Z.R.; Aryee, M.J.; Joung, J.K. Genome-wide specificities of CRISPR-Cas Cpf1 nucleases in human cells. Nat. Biotechnol. 2016, 34, 869–874. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  223. Tsai, S.Q.; Zheng, Z.; Nguyen, N.T.; Liebers, M.; Topkar, V.V.; Thapar, V.; Wyvekens, N.; Khayter, C.; Iafrate, A.J.; Le, L.P.; et al. GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases. Nat. Biotechnol. 2015, 33, 187–198. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  224. Kim, D.; Kim, J.; Hur, J.K.; Been, K.W.; Yoon, S.H.; Kim, J.S. Genome-wide analysis reveals specificities of Cpf1 endonucleases in human cells. Nat. Biotechnol. 2016, 34, 863–868. [Google Scholar] [CrossRef]
  225. Wienert, B.; Wyman, S.K.; Richardson, C.D.; Yeh, C.D.; Akcakaya, P.; Porritt, M.J.; Morlock, M.; Vu, J.T.; Kazane, K.R.; Watry, H.L.; et al. Unbiased detection of CRISPR off-targets in vivo using DISCOVER-Seq. bioRxiv 2018, 289, 286–289. [Google Scholar] [CrossRef] [Green Version]
  226. Huarte, M.; Rinn, J.L. Large non-coding RNAs: Missing links in cancer? Hum. Mol. Genet. 2010, 19. [Google Scholar] [CrossRef] [Green Version]
  227. Hanahan, D.; Weinberg, R.A. Hallmarks of cancer: The next generation. Cell 2011, 144, 646–674. [Google Scholar] [CrossRef] [Green Version]
  228. Gutschner, T.; Diederichs, S. The hallmarks of cancer: A long non-coding RNA point of view. RNA Biol. 2012, 9, 703–719. [Google Scholar] [CrossRef] [Green Version]
  229. Yang, L.; Lin, C.; Jin, C.; Yang, J.C.; Tanasa, B.; Li, W.; Merkurjev, D.; Ohgi, K.A.; Meng, D.; Zhang, J.; et al. LncRNA-dependent mechanisms of androgen-receptor-regulated gene activation programs. Nature 2013, 500, 598–602. [Google Scholar] [CrossRef] [Green Version]
  230. Yang, F.; Huo, X.S.; Yuan, S.X.; Zhang, L.; Zhou, W.P.; Wang, F.; Sun, S.H. Repression of the Long Noncoding RNA-LET by Histone Deacetylase 3 Contributes to Hypoxia-Mediated Metastasis. Mol. Cell 2013, 49, 1083–1096. [Google Scholar] [CrossRef] [Green Version]
  231. Necsulea, A.; Soumillon, M.; Warnefors, M.; Liechti, A.; Daish, T.; Zeller, U.; Baker, J.C.; Grützner, F.; Kaessmann, H. The evolution of lncRNA repertoires and expression patterns in tetrapods. Nature 2014, 505, 635–640. [Google Scholar] [CrossRef]
  232. Calin, G.A.; Liu, C.G.; Ferracin, M.; Hyslop, T.; Spizzo, R.; Sevignani, C.; Fabbri, M.; Cimmino, A.; Lee, E.J.; Wojcik, S.E.; et al. Ultraconserved Regions Encoding ncRNAs Are Altered in Human Leukemias and Carcinomas. Cancer Cell 2007, 12, 215–229. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Genomic organization of coding and non-coding transcripts. (A) Schematic representation of the types of long non-coding transcripts (pink) that are associated with coding genes (blue). Antisense lncRNAs are transcribed from the opposite strand of protein-coding genes with which they share sequence complementarity. Intronic lncRNAs contain within protein-coding loci partly or completely. Intergenic lncRNAs do not intersect with any protein-coding genes. (B) Intronic lncRNA subtypes by their relationship with respect to the nearest protein-coding gene. Nested lncRNAs contained entirely within protein-coding transcripts. Containing lncRNAs are contained Protein-coding transcripts completely. Overlapped lncRNAs are neither ‘nested’ nor ‘containing’. Dark-colored box, exon; Light-colored bar, intron.
Figure 1. Genomic organization of coding and non-coding transcripts. (A) Schematic representation of the types of long non-coding transcripts (pink) that are associated with coding genes (blue). Antisense lncRNAs are transcribed from the opposite strand of protein-coding genes with which they share sequence complementarity. Intronic lncRNAs contain within protein-coding loci partly or completely. Intergenic lncRNAs do not intersect with any protein-coding genes. (B) Intronic lncRNA subtypes by their relationship with respect to the nearest protein-coding gene. Nested lncRNAs contained entirely within protein-coding transcripts. Containing lncRNAs are contained Protein-coding transcripts completely. Overlapped lncRNAs are neither ‘nested’ nor ‘containing’. Dark-colored box, exon; Light-colored bar, intron.
Ijms 22 00632 g001
Figure 2. Identification and characterization of lncRNAs in cancer. Aberrant expression and alterations in genomic copy number in tumor cells lead the identification of lncRNAs related to cancer development. Subsequent in vitro and in vivo studies are used to elucidate the function of the identified lncRNAs in mediating distinct cancer phenotypes. RNA pulldown [40]; ChIRP, chromatin isolation by RNA purification [195]; CHART, capture hybridization analysis of RNA targets [196,197]; RAP, RNA antisense purification [198,199]; RNAi, RNA interference [9,29,39,40]; ASO, antisense oligonucleotide [40]; RIP, RNA immunoprecipitation [29,40]; KO, knockout [200,201,202]; NGS, next generation sequence [48,191,192,193,194]; MS, mass spectrometry [40].
Figure 2. Identification and characterization of lncRNAs in cancer. Aberrant expression and alterations in genomic copy number in tumor cells lead the identification of lncRNAs related to cancer development. Subsequent in vitro and in vivo studies are used to elucidate the function of the identified lncRNAs in mediating distinct cancer phenotypes. RNA pulldown [40]; ChIRP, chromatin isolation by RNA purification [195]; CHART, capture hybridization analysis of RNA targets [196,197]; RAP, RNA antisense purification [198,199]; RNAi, RNA interference [9,29,39,40]; ASO, antisense oligonucleotide [40]; RIP, RNA immunoprecipitation [29,40]; KO, knockout [200,201,202]; NGS, next generation sequence [48,191,192,193,194]; MS, mass spectrometry [40].
Ijms 22 00632 g002
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Taniue, K.; Akimitsu, N. The Functions and Unique Features of LncRNAs in Cancer Development and Tumorigenesis. Int. J. Mol. Sci. 2021, 22, 632. https://doi.org/10.3390/ijms22020632

AMA Style

Taniue K, Akimitsu N. The Functions and Unique Features of LncRNAs in Cancer Development and Tumorigenesis. International Journal of Molecular Sciences. 2021; 22(2):632. https://doi.org/10.3390/ijms22020632

Chicago/Turabian Style

Taniue, Kenzui, and Nobuyoshi Akimitsu. 2021. "The Functions and Unique Features of LncRNAs in Cancer Development and Tumorigenesis" International Journal of Molecular Sciences 22, no. 2: 632. https://doi.org/10.3390/ijms22020632

APA Style

Taniue, K., & Akimitsu, N. (2021). The Functions and Unique Features of LncRNAs in Cancer Development and Tumorigenesis. International Journal of Molecular Sciences, 22(2), 632. https://doi.org/10.3390/ijms22020632

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop