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Review

Gene Editing with CRISPR/Cas Methodology and Thyroid Cancer: Where Are We?

by
Cesar Seigi Fuziwara
*,
Diego Claro de Mello
and
Edna Teruko Kimura
*
Department of Cell and Developmental Biology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil
*
Authors to whom correspondence should be addressed.
Cancers 2022, 14(3), 844; https://doi.org/10.3390/cancers14030844
Submission received: 12 January 2022 / Revised: 31 January 2022 / Accepted: 3 February 2022 / Published: 8 February 2022
(This article belongs to the Special Issue Advances in Thyroid Carcinoma)

Abstract

:

Simple Summary

The advent of genomic editing with CRISPR/Cas9 has transformed the way we manipulate the genome, and has facilitated the investigation of tumor cell biology in vitro and in vivo. Not only we can modify genome sequence to blunt an overactivated gene or correct a mutation, but also we may modulate gene expression using CRISPR/Cas system. In this review, we present the basics of CRISPR/Cas methodology, its components and how to start a CRISPR/Cas experiment; Moreover, we present how CRISPR/Cas methodology has been applied to study the function of coding and noncoding genes in thyroid cancer and provided insights into cancer biology.

Abstract

Important advances on the role of genetic alterations in thyroid cancer have been achieved in the last two decades. One key reason is linked to the development of technical approaches that allowed for the mimicking of genetic alterations in vitro and in vivo and, more recently, the gene editing methodology. The CRISPR/Cas methodology has emerged as a tangible tool for editing virtually any DNA sequence in the genome. To induce a double-strand break and programmable gene editing, Cas9 endonuclease is guided by a single-guide RNA (sgRNA) that is complementary to the target sequence in DNA. The gene editing per se occurs as the cells repair the broken DNA and may erroneously change the original DNA sequence. In this review, we explore the principles of the CRISPR/Cas system to facilitate an understanding of the mainstream technique and its applications in gene editing. Furthermore, we explored new applications of CRISPR/Cas for gene modulation without changing the DNA sequence and provided a Dry Lab experience for those who are interested in starting “CRISPRing” any given gene. In the last section, we will discuss the progress in the knowledge of thyroid cancer biology fostered by the CRISPR/Cas gene editing tools.

1. Introduction

Gene editing using the CRISPR/Cas methodology has emerged as a promising tool to modify nearly any target DNA sequence in a genome, and has rapidly become an alternative to time-demanding methodologies such as zinc fingers nuclease (ZFN) and TALE nucleases (TALEN) [1]. In fact, the number of publications with “CRISPR” or “CRISPR/Cas” in the Pubmed database surpassed publications with “TALEN” or “Zinc-finger nucleases” by more than tenfold, in less than 10 years of the technique’s first description [2]. In this review, we first explore the fundamentals of the CRISPR/Cas system to facilitate an understanding of the technique and its application in gene editing. Moreover, we describe new applications for CRISPR/Cas in gene modulation without altering the DNA sequence and provide a Dry Lab Section 3 that allows readers to start “CRISPRing” their favorite genes. In the last section, we discuss how the CRISPR/Cas methodology was applied in the understanding of thyroid cancer biology.

2. The Principle of CRISPR/Cas

2.1. What Is CRISPR/Cas?

The CRISPR/Cas system is an endogenous RNA-guided prototype of immune defense against viral infection (DNA or RNA) in bacteria and archaea, initially described as a peculiar region of repetitive sequences detected downstream of the Iap gene’s translation termination codon in E. coli [3]. The CRISPR locus is composed of palindromic sequences of 14bp (repeats) that are interspaced by a 32-nucleotide (32-nt) sequence and repeated several times in the genome. The Cluster of Regularly Interspaced Palindromic Region (CRISPR), as it was named in 2002 [4], contains sequences of foreign DNA incorporated between the palindromic repeats (CRISPR array region). This system constitutes a prototype of adaptive immune responses by storing information of previous infections in the DNA, which is transcribed into CRISPR RNAs (crRNAs) [5].
As an essential part of the system, CRISPR-associated genes (Cas) are located adjacent to the CRISPR region and participate in several steps of adaptive immunity, in a process defined by the following three phases: adaptation, expression, and interference [6]. In the adaptation phase, specific Cas genes (i.e., Cas1 and Cas2) recognize the invading DNA, which is fragmented and incorporated into the CRISPR locus spacer region. In the expression phase, the CRISPR array is transcribed into crRNA, a small RNA that contains a 20-nt specific sequence (targeting the foreign DNA) and a segment of repeats that interacts with trans-activating crRNA (tracrRNA). This RNA structure is loaded into the Interference Cas protein, Cas9. In the interference phase, Cas9 endonuclease is complexed with crRNA + tracrRNA and targets foreign DNA based on a perfect complementarity match to the 20-nt of crRNA, which leads to the cleavage of the double-strand DNA due to the nuclease activity of Cas9.
The existence of an array of differences in the CRISPR/Cas loci structure in bacteria and archaea led to the classification of CRISPR systems based on the interference phase’s effector proteins. The current classification divided CRISPR into two classes and six types with particular Cas proteins [7]. The main difference between Class 1 and Class 2 is the composition of the Cas protein that participates in the interference Phase. In Class1, the CRISPR system recruits a large complex composed of several Cas proteins in the interference phase (Types I, III, and IV). On the other hand, in Class2 CRISPR, a single protein exerts multiple functions required for the interference phase (Types II, V, and VI). The focus of this review is the Cas9 protein, the most used Cas endonuclease for gene editing purposes. Additionally, Cas9 is a member of Class2 Type II CRISPR, in which a single protein is responsible for the interaction with guide RNA (crRNA + tracrRNA), DNA scanning, and double-strand break due to nuclease activity of the RuvC and HNH nuclease domains (Figure 1).
Understanding the principle of RNA-guided DNA cleavage by the CRISPR/Cas system in bacteria led to the repurposing of Cas9 to target DNA in eukaryotes, thus envisioning gene editing applications for functional investigation. In this new context, the single multifunctional protein Cas9 emerged as a catalyzer of gene editing with CRISPR/Cas due to the relative simplicity of expressing a single protein allied to the sgRNA (and other requirements, which we explore next).

2.2. How Is CRISPR/Cas Programmable?

One of the issues of gene editing prior to CRISPR/Cas was how to generate a programmable, targeted double-strand DNA break in the desired region. In 2012, a seminal Nobel Prize winning paper demonstrated the CRISPR/Cas system’s programmability [2]. This study showed CRISPR/Cas9 could be directed to any given DNA sequence upon the use of a single-guide RNA (sgRNA) formed by the fusion of crRNA + tracrRNA. The original bacteria/archaea CRISPR/Cas system relies on the expression of crRNA from the CRISPR array region that interacts with tracrRNA, a small 24-nt RNA that facilitates the maturation of crRNA by RNAIII nuclease [8] and interacts with Cas9. The mature form of crRNA (crRNA + tracrRNA) provides the 20-nt sequence that specifically targets foreign DNA sequence, while the tracrRNA recruits and activates Cas9 through conformational changes [2] (Figure 1).
Artificial changes to link both crRNA + tracrRNA structures resulted in the chimeric sgRNA that simplified the structural elements necessary for sgRNA loading in Cas9 (Figure 2). This modification resulted in a simple system in which the 20-nt DNA sequence specific for the target gene is cloned into a plasmid that transcribes the single-guide RNA (explored in the Dry Lab Section 3).
However, when selecting the target 20-nt sequence to produce the sgRNA, an additional feature is essential, namely, the presence of protospacer-adjacent motif (PAM) sequence next to the target DNA in the genome. PAM is a short-conserved sequence motif (2–5 bp) essential for Cas9 activity that varies among species (Table 1). For example, the most commonly used Cas9, the SpCas9 from Streptococcus pyogenes, recognizes a PAM sequence of NGG one base pair downstream of the 20-nt target site in the non-complementary strand [2] (Figure 1). Indeed, the versatility of PAM sequences in Class 2 Type II CRISPR systems contributes to the programmability of CRISPR/Cas to virtually any sequence in the DNA.

2.3. Why Cas9?

There are different types of Cas protein in the Class 2 system, in which the same Cas protein, for example Cas9, exerts the function to bind to the sgRNA, unfold the double-strand, and cut the DNA. It is reasonable to infer that this type of Cas protein is better suited for gene editing purposes because the delivery of one single protein with a sgRNA is easier than delivering multiple proteins, as in the Class 1 Cas system.
Furthermore, Cas9, specifically SpCas9, is a 1368aa multi-domain protein composed of two lobes, the alpha-helical recognition (REC) lobe and the nuclease (NUC) lobe containing the HNH and the RuvC nuclease domains [14]. The following functions are performed by Cas9: (1) interacts with sgRNA; (2) scans DNA; (3) unfolds DNA double-strand, and (4) cuts both strands of DNA.
Part of the popularity of SpCas9 is due to its PAM sequence NGG, which is simple and may be present in the majority of targets. However, SpCas9 is considered a large protein, with the coding sequence occupying most of the plasmid cloning space and impairing the cloning of multiple sgRNAs. In this context, researchers have investigated several types of bacteria and archaea genomes in search of new Cas proteins in Type II, V and VI groups, which may be smaller and even more specific (reduced off-targeting) than Cas9 (Table 1). Off-target is an unwanted DNA cleavage at unintended DNA sites due to the partial complementarity of sgRNA 20-nt sequence (usually with few mismatches) [15], that can lead to genomic instability and disable otherwise normal genes. Thus, the biochemical structural studies have focused on understanding the Cas9 protein structure to map and hack its structure to create new versions that are more specific as nucleases with reduced off-targeting.

2.4. Mechanism behind Gene Editing

The Cas endonucleases (i.e., Cas9, Cas12, Casx, etc.) generate a DNA double-strand break at the target region guided by the sgRNA. As this type of DNA break is extremely deleterious because it may lead to loss of DNA content, cells express a DNA damage repair machinery to reunite DNA proficiently. The gene editing per se, meaning changes in the DNA sequence by insertion or deletion of nucleotides, occurs in this process of repairing (ligating) DNA broken strands.
DNA double-strand breaks can be repaired through the following two main mechanisms: (1) Nonhomologous End Joining Repair (NHEJ) or (2) Homologous Directed Repair (HDR) (Figure 3).
NHEJ is the main mechanism for double-strand break repair because it is proficient at reuniting double-strand break ends. However, it may be unspecific and error-prone, and this property is especially important for gene disruption because it frequently causes microdeletions or insertions that ultimately lead to a loss of protein expression by frame shifting and premature stop-codon insertion.
On the other hand, HDR occurs less frequently (mainly in the cell cycle’s S-G2 phase) and uses endogenous (sequence in the sister chromosome) or exogenous homologous pieces of DNA to ligate double-strand breaks correctly without error. When using an exogenous sequence, a DNA template may contain the gene’s correct sequence to correct a mutation through HDR, for example, and must be provided with Cas9 + sgRNA. Nevertheless, a lower frequency of HDR (compared to NHEJ) is a scenario that may be improved by cell synchronization, drug treatment, or molecular biology manipulation to favor gene correction [16].

2.5. New Applications for CRISPR/Cas: Tailoring Cas Activity

Since the groundbreaking report of CRISPR/Cas9-mediated gene editing [2], intense investigations of Cas9 protein crystallography and biochemistry have resulted in important advances in the understanding of endonuclease function. It also permitted repurposing Cas9 variants into new applications such as CRISPRi or CRISPRa (explored later in this section) that perturb gene expression without changing the DNA sequence (epigenetic modulation) by inactivating or activating gene transcription.
The nuclease activity of Cas9 generates a double-strand DNA break and can be modulated through specific mutations in the nuclease domain. The RuvC (D10A) or HNH (H840A) mutations individually render Cas9 enzyme single-strand break activity (called nickase: Cas9n), meaning it cuts only one strand of DNA. An endogenous repair system easily repairs this type of DNA damage; however, the Cas9n system can be used for gene editing in a double-sgRNA strategy (Table 2), where a double-strand break occurs only in the DNA region targeted by a pair of sgRNA complementary to a different strand of DNA, and requires an optimal distance (minus 4 to 40-nt). This strategy reduces off-targets because only on-targeting results in double-strand breaks [17], and is better exemplified in Section 4.2. Targeting Noncoding Genes in Thyroid Research.
The double-mutant (RuvC D10A and HNH H840A) is considered a “dead” Cas9 (dCas9) that does not cleave or nick the DNA strand, but it still interacts with target DNA region guided by the sgRNA. This property is especially noteworthy in disturbing gene expression when dCas9 impairs the recruitment of transcriptional complexes or blocks RNA polymerase [21]. In this context, dCas9 may be fused to different protein domains that can result either in gene expression silencing or gene induction [22], which we explore below in detail (Figure 4).
CRISPR interference (CRISPRi): the presence of dCas9 complex (dCas9 + sgRNA) in a coding region interferes with transcriptional elongation, RNA polymerase binding, or transcription factor binding leading to reduction of gene transcription [21]. In this study, the authors directed dCas9 + sgRNAs to the coding region of mRFP (mouse red fluorescent protein) and observed that the sgRNA targeting of the coding region’s proximal sequences (in the non-template strand) resulted in a 10 to 300-fold inhibition of gene expression. Moreover, targeting the proximal promoter (minus 35-nt box region) resulted in a strong knockdown of mRFP gene expression [21].
Further study of this mechanism led to the development of the CRISPRi methodology that relies on the use of dCas9 fused to the repressive chromatin-modifier domain in the N-terminal region, such as Krüppel-associated box (KRAB) of Kox1, to improve CRISPRi silencing efficiency [22]. Indeed, targeting the dCas9-KRAB complex (+sgRNA) to the proximal promoter or the first exons of EGFP (enhanced green fluorescent protein) resulted in robust inhibition of gene transcription (~15-fold) because KRAB recruited chromatin modifiers to proximal regulatory elements [22].
CRISPR activation (CRISPRa): In the CRISPRa system, dCas9 protein fused transcriptional activators, such as VP64 (tetrameric repeat of VP16 from Herpes virus) or the p65 activation domain, induces target gene expression [22] (Figure 4B). Indeed, targeting sgRNA to the upstream activation sequence of the Gal4 gene, for example, resulted in a 25-fold and 12-fold activation for dCas9-VP64 and dCas9-p65, respectively. Further optimization of this system led to the discovery that the tandem fusion of VP64, p65, and Rta, in this order, generates a hybrid VP64-p65-Rta activator (called as VPR), which improves the activation efficiency in the CRISPRa system [20].
Both methodologies, CRISPRi and CRISPRa, have been validated to modulate the target gene transiently without modifying the DNA structure but the constant need for dCas9 + sgRNA expression in the cell to maintain gene modulation is a drawback. This fact can be overcome by using lentiviral delivery to express dCas9 and sgRNA stably, as mentioned in the seminal studies [20,21,22].

3. Dry-Lab: How Do I Use CRISPR In Vitro?

To start a gene editing experiment with CRISPR/Cas9, two essential components are mandatory: (1) Cas9 (or other Cas endonuclease) and (2) sgRNA. A third optional component is a selection marker that facilitates the screening. The delivery of CRISPR/Cas9 (containing sgRNA) frequently uses a plasmid system that can be easily transfected into cells, which is explored below.
It is necessary to express Cas endonuclease (Cas9, for example) and sgRNA simultaneously to achieve DNA double-strand break, single-strand break or gene modulation (in this case, dCas9 + sgRNAs expression should be kept constant). One of the easiest methods is to clone the sgRNA sequence under the control of the U6 promoter in a plasmid that also expresses Cas9 endonuclease (or other Cas variants, discussed in the upper sections) and a selection marker, such as puromycin resistance, or a fluorescent reporter such as GFP. The Zhang Lab [18] constructed these plasmids, which are available in Addgene as PX459 or PX458, respectively, for Cas9 + puromycin resistance, or Cas9 + GFP. We use these plasmids as examples.
The cloning methodology is user-friendly and uses the restriction site created by the digestion of the plasmid PX459 or PX458 with BbsI endonuclease for sgRNA cloning as shown in Figure 5. The resulting open linear plasmid has cohesive ends with a 5′-CACC overhang and a 3′-CAAA overhang for ligation with sgRNA (DNA sequence). We recommend testing at least three different sgRNAs sequences in order to select the most efficient.
The sgRNA sequence can be efficiently designed using available online tools, such as ChopChop [23] or Gene Perturbation Platform (GPP)/CRISPick [24] that have algorithms to predict the efficiency of double-strand break and score sgRNAs according to the off-target prediction. These tools are especially efficient for coding-genes. After choosing the sgRNAs, the sequence is ordered as a pair of DNA oligonucleotides that contain the 20-nt target region (PAM sequence should be removed from the sgRNA sequence) and the cohesive ends to ligate into the BbsI digested plasmid (PX458 or PX459, for example) when these oligonucleotides are annealed to form a double-strand DNA (Figure 5).
In the coding-gene context (Figure 6), the sgRNA design should preferentially favor the targeting of the coding-gene’s first exons, closer to the start codon region (ATG), if possible. This strategy aims to disrupt the coding sequence from the start codon and, therefore, truncate the protein or create a premature stop codon.
In terms of targeting noncoding RNAs, the main objective is to disrupt structural or regulatory regions. For example, when targeting a microRNA(miRNA) gene (explored in Section 4.2 targeting noncoding genes in thyroid research), the sgRNA may be directed to the desired strand of miRNA (either 5p or 3p) to remove its DNA sequence. Alternatively, sgRNAs may target the structural regions of primary or precursor miRNA processing, for example DROSHA/DICER binding sites or stem loop region (Figure 7).
After plasmid sequence confirmation, cells are transfected and selected for the marker (GFP or puromycin) to generate a mixed population. This mixed population can be initially screened for the target gene or protein expression (dependent upon if it is a coding or noncoding gene). Moreover, the genomic DNA can be used to assess the extent of gene editing by a surveyor assay or T7 endonuclease assay (both assays use nucleases that recognize DNA annealing mismatch).
Next, if cells present gene editing (DNA or protein levels), clonal expansion by limiting dilution may be used to generate single cell clones for cleaner results. It is important to note that several clones should be derived from a single population to avoid genetic drifting. Again, gene and protein expression may be used to validate the efficacy of gene editing, but the DNA sequencing of the target region is mandatory to show the extent of gene editing.
Up to now, we described the most used strategy to deliver CRISPR/Cas9 + sgRNA to the cells, which is the plasmid system. Nevertheless, researchers are moving to the transient presence of Cas9 + sgRNAs in the cells to minimize the off-targeting effect, and this purpose may be achieved using ribonucleoprotein (RNP) transfection. RNPs consist of the protein Cas9, which can easily be purchased from several companies (either Cas9, Cas9n or dCas9 are available), complexed in vitro with the sgRNA. In this case, sgRNA can also be purchased from companies but may be transcribed in vitro. Then, Cas9 + sgRNA RNPs are delivered to the cells by conventional transfection or electroporation. The main advantage is that the Cas9 protein complex (+sgRNA) is readily available to the cells. On the other hand, in the plasmid system, Cas9 and sgRNA are first transcribed, and Cas9 is translated in the cytoplasm and transported back to the nucleus, where it can interact with sgRNA and target DNA.

4. Gene Editing with CRISPR/Cas in Thyroid Cancer Research

The thyroid cancer field has further developed by using gene editing with CRISPR/Cas due to the relative straight-forwardness of the methodology compared to other gene-editing platforms such as Zinc-fingers nucleases or TALEN [1]. One of the cornerstones to investigate a gene function is to blunt its expression. Unlike RNA interference, which requires the expression of short-interfering segment to maintain gene knockdown, the gene editing alters the DNA and leads to a stable modification of genome. Consequently, when this segment is transcribed it contains changes in RNA sequence that may modify the coding sequence of a mRNA, or the structure of a noncoding RNA.
In this section, we discuss studies that used CRISPR/Cas to target coding and non-coding genes for the investigation of thyroid cancer biology. It is important to note that although we tried to organize the studies according to the target gene function or signaling pathway, most of the results cross-talk with each other.

4.1. Targeting Coding Genes in Thyroid Cancer

4.1.1. MAPK Pathway

Thyroid cancer is the most frequent endocrine cancer [25], and arises from two distinct main parenchymal cells, the thyroid-hormone producing follicular cells and the calcitonin-secreting C-cells (also called parafollicular cells). The majority of thyroid cancer is derived from follicular cells, and classified as well-differentiated (papillary and follicular) and undifferentiated (anaplastic) types, which are the focus on the present review, whereas the C-cells derived cancer, the medullar thyroid cancer, is less prevalent [26].
The most frequent histotype of thyroid cancer is the papillary thyroid cancer (PTC, approximately 80–85%) which in general exhibits a low mortality. On the other hand, the less common histotype, the anaplastic thyroid cancer (ATC, 1%) presents an extremely aggressive clinical behavior. The mitogen-activated protein kinase (MAPK) pathway contains the majority of driver oncogenes in both of the subtypes [27], and additional alterations, such as in TERT promoter and TP53 genes in ATC [28,29]. In PTC, the MAPK oncogenes are the highly mutated BRAF (60–70%) gene, and less frequently the mutations in the isoforms of RAS, and the RET gene translocations (RET/PTC rearrangement), alterations that lead to overactivation of this signaling [30,31,32]. Besides the proliferative effect, MAPK signaling is involved in the control of cell differentiation, motility, invasion, apoptosis, and noncoding signaling [33,34,35,36].
BRAFV600E point mutations are the most common event in PTC (~60%) and are detected in poorly differentiated thyroid cancer (PDTC) and ATC, approximately 33% and 45%, respectively [32,37]. Classically, mouse models BRAFV600E targeted to thyroid cells develop PTC with high penetrance and facilitated important discoveries in thyroid-cancer development and progression [38,39,40]. However, even in the CRISPR era, mouse genetic manipulating is still a laborious and time-consuming process. In this context, zebrafish constitute an alternative model that can be easily manipulated in vitro and can facilitate rapid evaluation of the effects of genetic manipulation, as the development of major organs occurs within 5 days. Indeed, a zebrafish BRAFV600E model (named Tg-BRAF-TOM) showed that BRAF activation in thyroid cells induced severe thyroid gland disorganization and impairment of thyroid hormone production as soon as 5 days postfertilization [41]. Moreover, adult Tg-BRAF-TOM animals displayed thyroid cancer that resembled human histopathological features. The RNAseq analysis revealed the activation of the epithelial-mesenchymal transition (EMT) program (as observed in larvae), and gene-set-enrichment analysis identified the transcription factor twist3 (orthologue of TWIST2) when Tg-BRAF-TOM profile was compared to human PTC in TCGA database [32]. Targeting the twist3 gene with CRISPR/Cas9-mediated gene editing resulted in a loss of function of the twist3 in zebrafish larvae and led to the partial restoration of thyroid follicles in Tg-BRAF-TOM animals revealing the potentiality of the technique in vivo [41].
Despite the classical MAPK genetic alteration, the gene expression of key MAPK genes were also detected in thyroid cancer. For example, the overexpression of epidermal growth factor receptor (EGFR) is reported in the thyroid cancer database from The Cancer Genome Atlas (TCGA) [32] and in aggressive ATC [42]. Indeed, CRISPR/Cas9-mediated EGFR gene editing in ATC cell line SW579 resulted in EGFR knockout at the protein level that blocked ERK and AKT phosphorylation [42]. Moreover, EGFR loss induced cell growth arrest in the S-phase, and reduced colony formation ability.
In the context of negative regulators of MAPK signaling, the NF2 protein (also known as Merlin) is a scaffold protein that regulates the receptor-mediated signaling pathway, such as MAPK and Hippo signaling [43]. The loss of expression or mutations in NF2 have been detected in thyroid cancer and are linked to Ras-induced tumorigenesis [44]. In this context, CRISPR/Cas9-mediated NF2 gene editing efficiently disrupted protein expression in PTC cells but without altering cell growth [45]. However, enforced expression of NF2 in ATC cells inhibited cell proliferation, migration and invasion. Interestingly, NF2 mutagenesis (nonsense mutation S288* and Q470*) restored cell growth in ATC cells, indicating a role for the NF2 mutations in BRAFV600E -mutated ATCs [45].
Similarly, NF1 is a negative regulator of receptors such as RAS and participates in resistance in aggressive tumors. The murine Hras-driven transgenic model (Tpo-Cre/HrasG12V/p53flox/flox) develops poorly differentiated thyroid cancer and ATC that are temporarily responsive to farnesyltransferase inhibitor Tipifarnib [46]. Acquired resistance to this inhibitor is associated with the activation of Ras downstream signaling due to NF1 truncating mutations. Indeed, the CRISPR/Cas9-mediated biallelic loss-of-function mutation in Nf1 resulted in an approximate fivefold increase in resistance to Tipifarnib in a murine Hras;p53 PDTC cell line [46].
Additionally, EIF1AX, is another gene that cooperates with MAPK, specifically with RAS mutation in advanced thyroid cancer, and is frequently mutated at a hotspot splice-acceptor site upstream of exon 6 (A113 splice) [47]. An EIF1AX-A113-splice mutation with CRISPR/Cas9 knock-in and a donor template via HDR (reviewed in Section 2.3 Mechanism behind Gene Editing) induced cell transformation in normal thyroid cells and increased colony formation in ATC cells [47]. Interestingly, the correction of EIF1AX-A113-splice mutation to wild-type sequence using CRISPR/Cas9 knock-in reduced the colony formation effect in ATC cell line C643.

4.1.2. Cancer Cell Migration and Invasion

One hallmark of cancer is the ability of tumor cells to migrate, invade adjacent tissues, and metastasize, which increases the probability of tumor recurrence and cancer-related death. In this process, transcriptional and posttranscriptional modifications occur in the cells that may involve classical EMT but may also involve partial EMT [48]. In thyroid cancer, ATC is the most aggressive, highly metastatic, and lethal form of disease [49]; however, in PTC, lymph node metastases are frequently detected [50].
Platelet-derived growth factor receptor-α (PDGFRA) is a proangiogenic factor that regulates tumor growth and metastasis and is highly expressed in thyroid cancer, correlating with poor survival [51]. Gene editing of PDGFRA with CRISPR/Cas9 in aggressive thyroid cancer cells blunted PDGFRA expression, reduced cell invasion and reversed EMT genes expression (reduced VIM, SLUG, and N-Cadherin and induced E-cadherin). Moreover, PDGFRA gene editing reduced spontaneous metastasis to the lung when injected in immunocompromised mice, indicating a beneficial role for PDGFRA inhibitors, such as imatinib to treat aggressive thyroid cancer [51].
The hematological and neurological expressed 1 (HN1) gene is involved in microtubule dynamics and is highly expressed in aggressive thyroid cancer that is associated with poor prognosis characteristics such as age, nodal metastasis and tumor stage [52]. Additionally, HN1 gene disruption with CRISPR/Cas9 markedly reduced cell migration and invasiveness in ATC cell lines in vitro and blunted tumor growth in vivo. Moreover, CRISPR/Cas9 mediated knockdown of HN1 was accompanied by EMT gene expression reduction and reactivation of epithelial genes. This effect was associated with the loss of HN1 interaction with Stathmin (STMN1), which blocks a-tubulin acetylation [52].
Mitofusin 2 (MFN2), a mitochondrial dynamin-like GTPase that regulates mitochondrial stability and cell metabolism, is expressed at low levels in aggressive thyroid cancer and correlates with BRAFV600E-like/low thyroid differentiation tumors [53]. Targeting MFN2 gene with CRISPR/Cas9 resulted in loss of MFN2 expression in the RAS-mutated ATC cell line Cal62 and induced cell invasion in vitro. Moreover, MFN2 knockout induced EMT by activating ZEB1, SLUG and N-cadherin gene expression. On the other hand, overexpression of MFN2 reduced EMT genes in ATC cells, reduced cell invasion and migration in vitro, and reduced tumor formation in vivo [53].
Another interesting gene is BAG5 (BAG cochaperone 5), which is upregulated in PTC and whose expression is associated with fibronectin 1 (FN1) [54]. The depletion of BAG5 protein with CRISPR/Cas9-gene editing reduced cell migration and invasion in thyroid-cancer cells. This effect is associated with FN1 protein downregulation that is negatively targeted by upregulation of miRNA miR-144-3p, which is repressed indirectly by BAG5 [54].
Most of the studies cited in this thyroid cancer CRISPR section used the plasmid system to express Cas9 nuclease and the sgRNA sequence (as shown in the Section 3 Dry Lab). However, this method generates a stable overexpression of Cas9 and sgRNA that may not be desired in terms of off-targeting potential. Thus, the strategy of transfecting Cas9 RNPs (Cas9 protein complexed with sgRNA explored in Section 3 Dry-Lab: How do I Use CRISPR In Vitro?) results in a temporary presence of Cas9 complex (24–48 h) to edit the desired target, thus minimizing off-targets. This approach was used to investigate the role of LIMD2 in thyroid cancer metastasis. High levels of LIMD2 are detected in metastatic PTC and CRISPR/Cas9 gene editing of LIMD2 in thyroid cancer cell lines BCPAP and TPC1 reduced cell invasion and modified cell polarity [55]. Moreover, LIMD2 knockout led to the dysregulation of phosphoprotein cascade, which included inducers of the EMT process, such as SLUG and TWIST.

4.1.3. Cell Metabolism, Drug Resistance and Apoptosis

The investigation of thyroid-cancer-cell metabolism by unraveling its metabolic components may contribute to the identification of new therapeutical targets. Moreover, CRISPR/Cas9 can provide a potent tool to target specific genes involved in drug specificity or resistance, and improve cancer treatment.
Drug screening focusing on transcriptional dysregulation revealed ATC cells’ responsiveness to THZ1 inhibitor, leading to strong reduction in cell viability and apoptosis [56]. The main target of THZ1 is CDK7, a cell cycle progression that phosphorylates several substrates including RNA polymerase II activation sites. High levels of CDK7 correlated with poorer prognosis and Ki67 levels in ATC, and targeting CDK7 with CRISPR/Cas9 resulted in reduction of cell viability, colony formation, G2/M cell cycle arrest and cell apoptosis [56]. Similarly, ATC responds to the treatment with THZ531, an inhibitor that blocks the activity of CDK12 (cyclin dependent kinase 12) in controlling gene transcription [57]. Furthermore, THZ531 reduced CDK12-mediated phosphorylation of RNA pol II and transcriptional elongation, and induced cell growth arrest, apoptosis, and reduction in colony formation in ATC cells. This effect was mimicked by the disruption of the CDK12 gene using CRISPR/Cas9 [57].
In the same context of kinase inhibitors, the treatment of ATC cells with lestaurtinib, an inhibitor of JAK2, resulted in cell cycle arrest and reduction of cell migration [58]. Indeed, CRISPR/Cas9-mediated gene editing of JAK2 in anaplastic thyroid cancer cells reduced cell proliferation but treatment with lestaurtinib resulted in incremental inhibition, indicating additional target genes or pathways [58].
One interesting gene involved in cell metabolism is the intraflagellar transport 88 (IFT88) gene that participates in primary cilia assembly, a sensory organelle that sends signals from the cell membrane to the control cell metabolism. Loss of IFT88 gene function using CRISPR/Cas9 resulted in metabolism dysregulation by altering mitochondria function (oxidative phosphorylation) and dynamics (fragmentation) in thyroid cancer cells. Moreover, IFT88 gene editing reduced cell proliferation, migration, and invasion in ATC cell line [59]
In hypoxia conditions, NAD(P)H oxidase 4 (NOX4), a mitochondria NOX, is responsible for generating mitochondrial ROS to stabilize HIF1alfa and increase glycolysis and cell growth [60]. The activation of NOX4 is dependent on p22phox, and the depletion of p22phox with CRISPR/Cas9 gene editing leads to a reduction in NOX4 levels. Consequently, mitochondrial ROS generation reduced and destabilized HIF1a-induced glycolysis in hypoxia condition necessary for PTC cell line proliferation [60].

4.1.4. Epigenetics

Chromatin accessibility changes due to posttranscriptional modification in histones and DNA per se may lead to changes in gene expression. At the histone levels, the effect of methylation and acetylation depends on the histone tail position with transcription activation output for acetylation at H3K4 or methylation at H3K36, and transcriptional inhibition for trimethylation at H3K27, for example [61].
High levels of histone deacetylases (HDAC) were detected in PTC and ATC, and the blockage of HDAC function with specific inhibitors induced apoptosis in the transformed thyroid cells [62] and redifferentiation by restoring genes, such as NIS (SLC5A5), in ATC cells [63]. Moreover, the double-knock out of HDAC1 and HDAC2 using CRISPR/Cas9 showed a strong induction of histone acetylation, cell cycle arrest, and apoptosis in ATC cells [64]. Another protein involved in histone acetylation and chromatin accessibility is Bromodomain containing 4 (BRD4) [65]. The CRISPR/Cas9-mediated BRD4 gene editing resulted in reduced cell viability and proliferation by downregulating c-Myc and cyclin D1 in PTC cells [66]. Moreover, this effect was mimicked by ARV-825, a specific inhibitor of BRD4, in vitro and resulted in tumor growth inhibition in vivo.
Histone methylation is another mechanism involved in gene regulation. For example, ASH1, such as histone lysine methyltransferase (ASH1L), a member of Trithorax group proteins that usually activates gene expression, dimethylates histone H3 at lysine 36, forming H3K36me2. Furthermore, ASH1L is highly expressed in ATC and is regulated by miR-200b-3p, a miRNA poorly expressed in this type of cancer. ASH1L knockout with CRISPR/Cas9 caused reduction of ATC cell growth in vitro and significantly reduced tumor growth in vivo, but it caused extensive loss of H3K36 dimethylation, especially at CCAT1 lncRNA [67]. Indeed, CCAT1 lncRNA knockdown mimicked the ASH1L knockout effects in cells, indicating a role of this lncRNA in ATC biology.
Importantly, the CRISPR/dCas9 system can modulate epigenetics (explored in Section 2.4 New Applications for CRISPR/Cas: Tailoring Cas Activity) when dCas9 is fused with chromatin activators (e.g., VPR) or inhibitors (e.g., KRAB) that modify chromatin accessibility in the sgRNA-targeted region, and result in the induction or repression of gene expression, respectively.

4.2. Targeting Noncoding Genes in Thyroid Research

In the context of gene-editing noncoding RNAs, the literature on thyroid research is still scarce, with few papers about small RNAs/microRNAs, and long noncoding RNAs. The strategy of gene editing is particularly interesting to blunt the expression of oncogenic miRNAs in thyroid cancer. MiRNAs are small non-coding RNAs (18–22 nt) that regulate target mRNA expression post-transcriptionally by interacting with the 3′-unstranslated region (UTR); furthermore, miRNAs may exert oncogenic or tumor suppressor roles according to the target mRNAs [34]. Among the deregulated miRNAs, miR-146b-5p is the most overexpressed in papillary thyroid cancer and is associated with aggressive clinical-pathological characteristics such as extrathyroidal extension [68]. Moreover, a cluster of miRNAs, miR-17-92 that transcribes seven mature miRNAs, is also linked to aggressive tumors [69] and is overexpressed in anaplastic thyroid cancer [69,70].
Our group used the CRISPR/Cas9n system with mutant nickase Cas9n, which requires a double-sgRNA strategy to target DNA, to disturb the structure of a miRNA gene in two different studies, one targeting miR-17-92 and the other targeting miR-146b-5p [71,72]. First, to disrupt the expression of the miR-17-92 cluster, we edited a particular region in MIR17HG (the host gene for miR-17-92) by targeting a double-sgRNA+Cas9n to the proximal region of miR-17 that contains a splicing site [73]. As a result, we observed a strong reduction in the expression of all cluster miRNAs in ATC cell line KTC2, especially miR-17 which was closer to the gene-editing site [71]. As a functional effect, ATC cells showed reduction in cell viability, cell migration and colony-formation ability, but restored the expression of thyroid transcription factors, PAX8 and NKX2-1, and responsiveness to TGFβ antimitogenic cytokine [71].
In a further study, we showed that CRISPR/Cas9n can be directed to target and edit the MIR146B gene, which transcribes the most overexpressed miRNA in thyroid cancer, miR-146b-5p. We also used the double-sgRNA strategy to target the miR-146b-5p sequence and disrupt the precursor hairpin structure. We observed strong reduction in miR-146b-5p mature level that was sufficient to result in important functional effects in the ATC cell line KTC2, such as impairment of cell proliferation, cell migration and cell growth in immunocompromised mice [72]. These results indicate the importance of miRNAs for thyroid cancer biology, and that targeting miRNAs with CRISPR/Cas9n may become a promising approach for aggressive thyroid cancer.
In the context of small noncoding RNAs (<200 nt), nc886 (officially called vault RNA 2-1) is a small 101-nt RNA transcribed by RNA polymerase III with intriguing similarities to vault RNA and pre-miRNA that are still under investigation [74]. Nevertheless, nc886 acts as a direct inhibitor of protein kinase R (EIF2AK2: eukaryotic translation initiation factor 2-alpha kinase 2), thus regulating cell growth [75]. High levels of nc886 are associated with lymph-node metastasis and tumor aggressiveness in thyroid cancer [76]. The temporary knock-down of nc886 with siRNA results in cell death and activation of PKR (phosphor-PKR) in thyroid cells. To study the effect of permanent nc886 deletion, a segment of approximately 280 bp that contained the nc886 transcript was removed from the genome by using a double-sgRNA strategy with wild-type Cas9. Because of nc886 knockout, thyroid cells exhibited an impairment of the tumoral phenotype such as a reduction in cell proliferation, migration, and invasion associated with blockage of transcriptional programs (target gene expression) that support an oncogenic role [76].
Long-noncoding RNAs (>200 nt) are also an important class of noncoding RNAs that exert functional roles in thyroid cancer, with a diverse range of transcriptional and posttranscriptional effects [77]. The application of CRISPR/Cas9-directed gene editing is also possible in long-noncoding transcripts, for example, in the 2346-bp long noncoding RNA of small nucleolar host gene 3 (SNHG3). The analysis of the PTC gene sets revealed low expression of SNHG3 compared to normal thyroid which was associated with poor clinical outcomes, especially recurrence-free survival [78]. To investigate the effect of SNHG3, CRISPR/Cas9 mediated gene disruption was employed in thyroid cancer cell lines (SNHG3-KO) and resulted in strong reduction of SNHG3 levels and induced pro-tumorigenic effects, such cell proliferation, migration and invasion [78]. Moreover, there was an important acceleration of tumor formation of SNHG3-KO cells in immunocompromised mice, and this effect was associated with AKT/mTOR/ERK pathway activation.

5. Perspectives

The consolidation of the CRISPR/Cas9 methodology, a versatile tool for gene editing and gene modulation (Cas9 mutants), has paved the way for the rapid expansion in the understanding of the molecular mechanism of cell signaling in thyroid cancer as summarized in Table 3. Most of the studies presented in this review utilize CRISPR/Cas9 methodology to blunt the expression of a target gene. However, further applications, such as gene correction using CRISPR/Cas9 +donor DNA (HDR) and gene-expression modulation (dCas9-KRAB or dCas9-VPR, for example), compose an array of applications that have the potential to be implemented in future cancer treatments.
One concern in the technique is the correct delivery of CRISPR/Cas to cells (in the context of an organism), either by viral particles, plasmids or nanoparticles [79], remaining a technical difficulty that regards most of the genetic therapy. As an encouraging application of CRISPR/Cas in cancer, we can mention immunotherapy with the first trials of CRISPR-edited T cells in lung cancer, and in in advanced refractory cancer [80,81]. Somewhat similar, both trials rely on the CRISPR/Cas9 gene editing of the human PD1 gene or a multiplex strategy to edit TRAC, TRBC, and PDCD1 genes in autologous T-cells extracted from cancer patients in order to enhance the antitumor effect. The infusion of these CRISPR-modified T-cells into patients proved to be safe in both studies, and already showed antitumor effect in the phase I study [80].
Nevertheless, the rapid expansion of CRISPR/Cas applications in vitro and in vivo may provide the correct timing for a global effort to further develop the delivery strategies in terms of specificity and safety, while mitigating the off-targeting effects. This would encourage a safer next step for the treatment of aggressive cancers, including thyroid cancer.

Abbreviation

Glossary of CRISPR/Cas system nomenclature.
Abbreviation/TermMeaningFunction/Use
CRISPRCluster of Regularly Interspaced Palindromic RegionsRegion of repetitive sequences in the bacteria genome that contains genomic sequence to target foreign DNA
Cas genesCRISPR-associated genesGene associated with the CRISPR locus
crRNACRISPR RNASmall RNA transcribed from CRISPR locus
tracrRNATransauxiliary CRISPR RNASmall RNA that interacts with crRNA for proper processing and folding
PAMProtospacer adjacent motifDNA sequence present in the non-complementary DNA strand that is essential to Cas9-directed DNA cleavage
sgRNASingle-guide RNAArtificial fusion of crRNA + tracrRNA
Expression PhaseExpression PhasecrRNA is expressed from CRISPR locus and interacts with tracrRNA
Adaptation PhaseAdaptation PhaseForeign DNA sequence is incorporated into CRISPR locus by Cas protein
Interference PhaseInterference PhaseRecognition of invader DNA by crRNA + tracrRNA complexed in Cas9 and cleavage of target DNA
NUC lobeNuclease lobeCas9 lobe that cleaves double-strand DNA using HNH and RuvC nuclease domains
REC lobeRecognition lobe Cas9 lobe that contains three alpha-helical domains
NHEJNon-homologous end joiningA error-prone mechanism of DNA repair that is very efficient is rejoining double-strand breaks
HDRHomology-directed recombinationA proof-read mechanism of DNA repair that relies on a DNA donor template
Cas9Cas9 nucleaseClass II endonuclease that acts in the recognition and interference phase.
Cas9nCas9 nickaseA mutant Cas9 that cleaves only one strand of DNA due to mutations in either RuvC or HNH domain.
dCas9Dead Cas9A mutant Cas9 that does not cleave DNA (dead) due to mutations in both RuvC and HNH domains
CRISPRiCRISPR interferenceMethodology that uses dCas9 fused to transcriptional inhibitor to repress target gene expression
CRISPRaCRISPR activationMethodology that uses dCas9 fused to transcriptional activators to induce target gene expression
KRABKrüppel-associated box KRAB domain of Kox1 gene fused to dCas9 in order to inhibit the expression of target gene
VPRVP64-p65-RtaIn tandem fusion of VP64-p65-Rta activator domains in dCas9 to induce target gene expression

Author Contributions

Conceptualization and design, C.S.F. and E.T.K.; acquisition, analysis and interpretation of data, C.S.F., D.C.d.M., E.T.K.; writing—original draft preparation and figure drawing, C.S.F. and D.C.d.M.; writing—review and editing, C.S.F., D.C.d.M. and E.T.K.; funding acquisition, C.S.F. and E.T.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the grants and scholarships from FAPESP (The Sao Paulo Research Foundation-Brazil) grants 2019/17282-5 (C.S.F.), 2020/10403-9 (C.S.F.), 2019/25116-8 (E.T.K.) and 2021/01674-1 (D.C.d.M.); CNPq (National Council for Scientific and Technological Development-Brazil) grants 430756/2018-6 (E.T.K.), 308331/2017-6 (E.T.K.), 311210/2021-0 (E.T.K.); and NAPmiR/USP.

Acknowledgments

The authors would like to acknowledge the assistance of Daniel Casartelli de Santa-Inez for helping in the bibliographic search.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Gupta, R.M.; Musunuru, K. Expanding the genetic editing tool kit: ZFNs, TALENs, and CRISPR-Cas9. J. Clin. Invest. 2014, 124, 4154–4161. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Jinek, M.; Chylinski, K.; Fonfara, I.; Hauer, M.; Doudna, J.A.; Charpentier, E. A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. Science 2012, 337, 816–821. [Google Scholar] [CrossRef] [PubMed]
  3. Ishino, Y.; Shinagawa, H.; Makino, K.; Amemura, M.; Nakata, A. Nucleotide sequence of the iap gene, responsible for alkaline phosphatase isozyme conversion in Escherichia coli, and identification of the gene product. J. Bacteriol. 1987, 169, 5429–5433. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Jansen, R.; Embden, J.D.; Gaastra, W.; Schouls, L.M. Identification of genes that are associated with DNA repeats in prokaryotes. Mol. Microbiol. 2002, 43, 1565–1575. [Google Scholar] [CrossRef]
  5. Mojica, F.J.; Diez-Villasenor, C.; Garcia-Martinez, J.; Soria, E. Intervening sequences of regularly spaced prokaryotic repeats derive from foreign genetic elements. J. Mol. Evol. 2005, 60, 174–182. [Google Scholar] [CrossRef]
  6. Ishino, Y.; Krupovic, M.; Forterre, P. History of CRISPR-Cas from Encounter with a Mysterious Repeated Sequence to Genome Editing Technology. J. Bacteriol. 2018, 200, 1–17. [Google Scholar] [CrossRef] [Green Version]
  7. Makarova, K.S.; Wolf, Y.I.; Iranzo, J.; Shmakov, S.A.; Alkhnbashi, O.S.; Brouns, S.J.J.; Charpentier, E.; Cheng, D.; Haft, D.H.; Horvath, P.; et al. Evolutionary classification of CRISPR-Cas systems: A burst of class 2 and derived variants. Nat. Rev. Microbiol. 2020, 18, 67–83. [Google Scholar] [CrossRef]
  8. Deltcheva, E.; Chylinski, K.; Sharma, C.M.; Gonzales, K.; Chao, Y.; Pirzada, Z.A.; Eckert, M.R.; Vogel, J.; Charpentier, E. CRISPR RNA maturation by trans-encoded small RNA and host factor RNase III. Nature 2011, 471, 602–607. [Google Scholar] [CrossRef] [Green Version]
  9. Ran, F.A.; Cong, L.; Yan, W.X.; Scott, D.A.; Gootenberg, J.S.; Kriz, A.J.; Zetsche, B.; Shalem, O.; Wu, X.; Makarova, K.S.; et al. In vivo genome editing using Staphylococcus aureus Cas9. Nature 2015, 520, 186–191. [Google Scholar] [CrossRef]
  10. Hou, Z.; Zhang, Y.; Propson, N.E.; Howden, S.E.; Chu, L.F.; Sontheimer, E.J.; Thomson, J.A. Efficient genome engineering in human pluripotent stem cells using Cas9 from Neisseria meningitidis. Proc. Natl. Acad. Sci. USA 2013, 110, 15644–15649. [Google Scholar] [CrossRef] [Green Version]
  11. Cong, L.; Ran, F.A.; Cox, D.; Lin, S.; Barretto, R.; Habib, N.; Hsu, P.D.; Wu, X.; Jiang, W.; Marraffini, L.A.; et al. Multiplex genome engineering using CRISPR/Cas systems. Science 2013, 339, 819–823. [Google Scholar] [CrossRef] [Green Version]
  12. Zetsche, B.; Gootenberg, J.S.; Abudayyeh, O.O.; Slaymaker, I.M.; Makarova, K.S.; Essletzbichler, P.; Volz, S.E.; Joung, J.; van der Oost, J.; Regev, A.; et al. Cpf1 is a single RNA-guided endonuclease of a class 2 CRISPR-Cas system. Cell 2015, 163, 759–771. [Google Scholar] [CrossRef] [Green Version]
  13. Liu, J.J.; Orlova, N.; Oakes, B.L.; Ma, E.; Spinner, H.B.; Baney, K.L.M.; Chuck, J.; Tan, D.; Knott, G.J.; Harrington, L.B.; et al. CasX enzymes comprise a distinct family of RNA-guided genome editors. Nature 2019, 566, 218–223. [Google Scholar] [CrossRef]
  14. Jiang, F.; Doudna, J.A. CRISPR-Cas9 Structures and Mechanisms. Annu. Rev. Biophys. 2017, 46, 505–529. [Google Scholar] [CrossRef] [Green Version]
  15. Hsu, P.D.; Scott, D.A.; Weinstein, J.A.; Ran, F.A.; Konermann, S.; Agarwala, V.; Li, Y.; Fine, E.J.; Wu, X.; Shalem, O.; et al. DNA targeting specificity of RNA-guided Cas9 nucleases. Nat. Biotechnol. 2013, 31, 827–832. [Google Scholar] [CrossRef]
  16. Liu, M.; Rehman, S.; Tang, X.; Gu, K.; Fan, Q.; Chen, D.; Ma, W. Methodologies for Improving HDR Efficiency. Front. Genet. 2018, 9, 691. [Google Scholar] [CrossRef]
  17. Ran, F.A.; Hsu, P.D.; Lin, C.Y.; Gootenberg, J.S.; Konermann, S.; Trevino, A.E.; Scott, D.A.; Inoue, A.; Matoba, S.; Zhang, Y.; et al. Double nicking by RNA-guided CRISPR Cas9 for enhanced genome editing specificity. Cell 2013, 154, 1380–1389. [Google Scholar] [CrossRef] [Green Version]
  18. Ran, F.A.; Hsu, P.D.; Wright, J.; Agarwala, V.; Scott, D.A.; Zhang, F. Genome engineering using the CRISPR-Cas9 system. Nat. Protoc. 2013, 8, 2281–2308. [Google Scholar] [CrossRef] [Green Version]
  19. Chiang, T.W.; le Sage, C.; Larrieu, D.; Demir, M.; Jackson, S.P. CRISPR-Cas9(D10A) nickase-based genotypic and phenotypic screening to enhance genome editing. Sci. Rep. 2016, 6, 24356. [Google Scholar] [CrossRef]
  20. Chavez, A.; Scheiman, J.; Vora, S.; Pruitt, B.W.; Tuttle, M.; E, P.R.I.; Lin, S.; Kiani, S.; Guzman, C.D.; Wiegand, D.J.; et al. Highly efficient Cas9-mediated transcriptional programming. Nat. Methods 2015, 12, 326–328. [Google Scholar] [CrossRef] [Green Version]
  21. Qi, L.S.; Larson, M.H.; Gilbert, L.A.; Doudna, J.A.; Weissman, J.S.; Arkin, A.P.; Lim, W.A. Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression. Cell 2013, 152, 1173–1183. [Google Scholar] [CrossRef] [Green Version]
  22. Gilbert, L.A.; Larson, M.H.; Morsut, L.; Liu, Z.; Brar, G.A.; Torres, S.E.; Stern-Ginossar, N.; Brandman, O.; Whitehead, E.H.; Doudna, J.A.; et al. CRISPR-mediated modular RNA-guided regulation of transcription in eukaryotes. Cell 2013, 154, 442–451. [Google Scholar] [CrossRef] [Green Version]
  23. Labun, K.; Montague, T.G.; Krause, M.; Torres Cleuren, Y.N.; Tjeldnes, H.; Valen, E. CHOPCHOP v3: Expanding the CRISPR web toolbox beyond genome editing. Nucleic Acids Res. 2019, 47, W171–W174. [Google Scholar] [CrossRef] [Green Version]
  24. Doench, J.G.; Fusi, N.; Sullender, M.; Hegde, M.; Vaimberg, E.W.; Donovan, K.F.; Smith, I.; Tothova, Z.; Wilen, C.; Orchard, R.; et al. Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9. Nat. Biotechnol. 2016, 34, 184–191. [Google Scholar] [CrossRef] [Green Version]
  25. Siegel, R.L.; Miller, K.D.; Fuchs, H.E.; Jemal, A. Cancer statistics, 2022. CA Cancer J. Clin. 2022, 72, 7–33. [Google Scholar] [CrossRef]
  26. Dralle, H.; Machens, A.; Basa, J.; Fatourechi, V.; Franceschi, S.; Hay, I.D.; Nikiforov, Y.E.; Pacini, F.; Pasieka, J.L.; Sherman, S.I. Follicular cell-derived thyroid cancer. Nat. Rev. Dis. Primers 2015, 1, 15077. [Google Scholar] [CrossRef]
  27. Nikiforova, M.N.; Kimura, E.T.; Gandhi, M.; Biddinger, P.W.; Knauf, J.A.; Basolo, F.; Zhu, Z.; Giannini, R.; Salvatore, G.; Fusco, A.; et al. BRAF mutations in thyroid tumors are restricted to papillary carcinomas and anaplastic or poorly differentiated carcinomas arising from papillary carcinomas. J. Clin. Endocrinol. Metab. 2003, 88, 5399–5404. [Google Scholar] [CrossRef]
  28. Xu, B.; Fuchs, T.; Dogan, S.; Landa, I.; Katabi, N.; Fagin, J.A.; Tuttle, R.M.; Sherman, E.; Gill, A.J.; Ghossein, R. Dissecting Anaplastic Thyroid Carcinoma: A Comprehensive Clinical, Histologic, Immunophenotypic, and Molecular Study of 360 Cases. Thyroid 2020, 30, 1505–1517. [Google Scholar] [CrossRef]
  29. Tavares, C.; Melo, M.; Cameselle-Teijeiro, J.M.; Soares, P.; Sobrinho-Simoes, M. ENDOCRINE TUMOURS: Genetic predictors of thyroid cancer outcome. Eur. J. Endocrinol. 2016, 174, R117–R126. [Google Scholar] [CrossRef] [Green Version]
  30. Kimura, E.T.; Nikiforova, M.N.; Zhu, Z.; Knauf, J.A.; Nikiforov, Y.E.; Fagin, J.A. High prevalence of BRAF mutations in thyroid cancer: Genetic evidence for constitutive activation of the RET/PTC-RAS-BRAF signaling pathway in papillary thyroid carcinoma. Cancer Res. 2003, 63, 1454–1457. [Google Scholar]
  31. Xing, M. Molecular pathogenesis and mechanisms of thyroid cancer. Nat. Rev. Cancer 2013, 13, 184–199. [Google Scholar] [CrossRef] [PubMed]
  32. Cancer Genome Atlas Research, N. Integrated genomic characterization of papillary thyroid carcinoma. Cell 2014, 159, 676–690. [Google Scholar] [CrossRef] [Green Version]
  33. Zaballos, M.A.; Acuna-Ruiz, A.; Morante, M.; Crespo, P.; Santisteban, P. Regulators of the RAS-ERK pathway as therapeutic targets in thyroid cancer. Endocr.-Relat. Cancer 2019, 26, R319–R344. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Fuziwara, C.S.; Kimura, E.T. MicroRNAs in thyroid development, function and tumorigenesis. Mol. Cell. Endocrinol. 2017, 456, 44–50. [Google Scholar] [CrossRef]
  35. Pallante, P.; Battista, S.; Pierantoni, G.M.; Fusco, A. Deregulation of microRNA expression in thyroid neoplasias. Nat. Rev. Endocrinol. 2014, 10, 88–101. [Google Scholar] [CrossRef]
  36. Bonaldi, E.; Gargiuli, C.; De Cecco, L.; Micali, A.; Rizzetti, M.G.; Greco, A.; Borrello, M.G.; Minna, E. BRAF Inhibitors Induce Feedback Activation of RAS Pathway in Thyroid Cancer Cells. Int. J. Mol. Sci. 2021, 22, 5744. [Google Scholar] [CrossRef]
  37. Landa, I.; Ibrahimpasic, T.; Boucai, L.; Sinha, R.; Knauf, J.A.; Shah, R.H.; Dogan, S.; Ricarte-Filho, J.C.; Krishnamoorthy, G.P.; Xu, B.; et al. Genomic and transcriptomic hallmarks of poorly differentiated and anaplastic thyroid cancers. J. Clin. Investig. 2016, 126, 1052–1066. [Google Scholar] [CrossRef] [Green Version]
  38. Knauf, J.A.; Ma, X.; Smith, E.P.; Zhang, L.; Mitsutake, N.; Liao, X.H.; Refetoff, S.; Nikiforov, Y.E.; Fagin, J.A. Targeted expression of BRAFV600E in thyroid cells of transgenic mice results in papillary thyroid cancers that undergo dedifferentiation. Cancer Res. 2005, 65, 4238–4245. [Google Scholar] [CrossRef] [Green Version]
  39. Knauf, J.A.; Sartor, M.A.; Medvedovic, M.; Lundsmith, E.; Ryder, M.; Salzano, M.; Nikiforov, Y.E.; Giordano, T.J.; Ghossein, R.A.; Fagin, J.A. Progression of BRAF-induced thyroid cancer is associated with epithelial-mesenchymal transition requiring concomitant MAP kinase and TGFbeta signaling. Oncogene 2011, 30, 3153–3162. [Google Scholar] [CrossRef] [Green Version]
  40. Chakravarty, D.; Santos, E.; Ryder, M.; Knauf, J.A.; Liao, X.H.; West, B.L.; Bollag, G.; Kolesnick, R.; Thin, T.H.; Rosen, N.; et al. Small-molecule MAPK inhibitors restore radioiodine incorporation in mouse thyroid cancers with conditional BRAF activation. J. Clin. Invest. 2011, 121, 4700–4711. [Google Scholar] [CrossRef] [Green Version]
  41. Anelli, V.; Villefranc, J.A.; Chhangawala, S.; Martinez-McFaline, R.; Riva, E.; Nguyen, A.; Verma, A.; Bareja, R.; Chen, Z.; Scognamiglio, T.; et al. Oncogenic BRAF disrupts thyroid morphogenesis and function via twist expression. eLife 2017, 6, 1–19. [Google Scholar] [CrossRef]
  42. Huang, L.-C.; Tam, K.-W.; Liu, W.-N.; Lin, C.-Y.; Hsu, K.-W.; Hsieh, W.-S.; Chi, W.-M.; Lee, A.-W.; Yang, J.-M.; Lin, C.-L.; et al. CRISPR/Cas9 Genome Editing of Epidermal Growth Factor Receptor Sufficiently Abolished Oncogenicity in Anaplastic Thyroid Cancer. Dis. Markers 2018, 2018, 3835783. [Google Scholar] [CrossRef]
  43. Petrilli, A.M.; Fernandez-Valle, C. Role of Merlin/NF2 inactivation in tumor biology. Oncogene 2016, 35, 537–548. [Google Scholar] [CrossRef] [Green Version]
  44. Garcia-Rendueles, M.E.; Ricarte-Filho, J.C.; Untch, B.R.; Landa, I.; Knauf, J.A.; Voza, F.; Smith, V.E.; Ganly, I.; Taylor, B.S.; Persaud, Y.; et al. NF2 Loss Promotes Oncogenic RAS-Induced Thyroid Cancers via YAP-Dependent Transactivation of RAS Proteins and Sensitizes Them to MEK Inhibition. Cancer Discov. 2015, 5, 1178–1193. [Google Scholar] [CrossRef] [Green Version]
  45. You, M.H.; Jeon, M.J.; Kim, T.Y.; Kim, W.B.; Shong, Y.K.; Kim, W.G. Expression of NF2 Modulates the Progression of BRAFV600E Mutated Thyroid Cancer Cells. Endocrinol. Metab. 2019, 34, 203–212. [Google Scholar] [CrossRef]
  46. Untch, B.R.; Dos Anjos, V.; Garcia-Rendueles, M.E.R.; Knauf, J.A.; Krishnamoorthy, G.P.; Saqcena, M.; Bhanot, U.K.; Socci, N.D.; Ho, A.L.; Ghossein, R.; et al. Tipifarnib Inhibits HRAS-Driven Dedifferentiated Thyroid Cancers. Cancer Res. 2018, 78, 4642–4657. [Google Scholar] [CrossRef] [Green Version]
  47. Krishnamoorthy, G.P.; Davidson, N.R.; Leach, S.D.; Zhao, Z.; Lowe, S.W.; Lee, G.; Landa, I.; Nagarajah, J.; Saqcena, M.; Singh, K.; et al. EIF1AX and RAS Mutations Cooperate to Drive Thyroid Tumorigenesis through ATF4 and c-MYC. Cancer Discov. 2019, 9, 264–281. [Google Scholar] [CrossRef] [Green Version]
  48. Aiello, N.M.; Maddipati, R.; Norgard, R.J.; Balli, D.; Li, J.; Yuan, S.; Yamazoe, T.; Black, T.; Sahmoud, A.; Furth, E.E.; et al. EMT Subtype Influences Epithelial Plasticity and Mode of Cell Migration. Dev. Cell 2018, 45, 681–695.e684. [Google Scholar] [CrossRef] [Green Version]
  49. Molinaro, E.; Romei, C.; Biagini, A.; Sabini, E.; Agate, L.; Mazzeo, S.; Materazzi, G.; Sellari-Franceschini, S.; Ribechini, A.; Torregrossa, L.; et al. Anaplastic thyroid carcinoma: From clinicopathology to genetics and advanced therapies. Nat. Rev. Endocrinol. 2017, 13, 644–660. [Google Scholar] [CrossRef]
  50. Caron, N.R.; Clark, O.H. Papillary thyroid cancer: Surgical management of lymph node metastases. Curr. Treat. Options Oncol. 2005, 6, 311–322. [Google Scholar] [CrossRef]
  51. Lin, C.L.; Tsai, M.L.; Chen, Y.H.; Liu, W.N.; Lin, C.Y.; Hsu, K.W.; Huang, C.Y.; Chang, Y.J.; Wei, P.L.; Chen, S.H.; et al. Platelet-Derived Growth Factor Receptor-alpha Subunit Targeting Suppresses Metastasis in Advanced Thyroid Cancer In Vitro and In Vivo. Biomol. Ther. 2021, 29, 551–561. [Google Scholar] [CrossRef]
  52. Pan, Z.; Fang, Q.; Li, L.; Zhang, Y.; Xu, T.; Liu, Y.; Zheng, X.; Tan, Z.; Huang, P.; Ge, M. HN1 promotes tumor growth and metastasis of anaplastic thyroid carcinoma by interacting with STMN1. Cancer Lett. 2021, 501, 31–42. [Google Scholar] [CrossRef]
  53. You, M.-H.; Jeon, M.J.; Kim, S.R.; Lee, W.K.; Cheng, S.-Y.; Jang, G.; Kim, T.Y.; Kim, W.B.; Shong, Y.K.; Kim, W.G. Mitofusin-2 modulates the epithelial to mesenchymal transition in thyroid cancer progression. Sci. Rep. 2021, 11, 2054. [Google Scholar] [CrossRef]
  54. Zhang, D.L.; Wang, J.M.; Wu, T.; Du, X.; Yan, J.; Du, Z.X.; Wang, H.Q. BAG5 promotes invasion of papillary thyroid cancer cells via upregulation of fibronectin 1 at the translational level. Biochim. Biophys. Acta Mol. Cell Res. 2020, 1867, 118715. [Google Scholar] [CrossRef] [PubMed]
  55. Araldi, R.P.; de Melo, T.C.; Levy, D.; de Souza, D.M.; Maurício, B.; Colozza-Gama, G.A.; Bydlowski, S.P.; Peng, H.; Rauscher, F.J.; Cerutti, J.M. LIMD2 Regulates Key Steps of Metastasis Cascade in Papillary Thyroid Cancer Cells via MAPK Crosstalk. Cells 2020, 9, 2522. [Google Scholar] [CrossRef] [PubMed]
  56. Cao, X.; Dang, L.; Zheng, X.; Lu, Y.; Lu, Y.; Ji, R.; Zhang, T.; Ruan, X.; Zhi, J.; Hou, X.; et al. Targeting Super-Enhancer-Driven Oncogenic Transcription by CDK7 Inhibition in Anaplastic Thyroid Carcinoma. Thyroid. Off. J. Am. Thyroid. Assoc. 2019, 29, 809–823. [Google Scholar] [CrossRef] [PubMed]
  57. Geng, M.; Yang, Y.; Cao, X.; Dang, L.; Zhang, T.; Zhang, L. Targeting CDK12-mediated transcription regulation in anaplastic thyroid carcinoma. Biochem. Biophys. Res. Commun. 2019, 520, 544–550. [Google Scholar] [CrossRef] [PubMed]
  58. Pinto, N.; Prokopec, S.D.; Vizeacoumar, F.; Searle, K.; Lowerison, M.; Ruicci, K.M.; Yoo, J.; Fung, K.; MacNeil, D.; Lacefield, J.C.; et al. Lestaurtinib is a potent inhibitor of anaplastic thyroid cancer cell line models. PLoS ONE 2018, 13, e0207152. [Google Scholar] [CrossRef] [Green Version]
  59. Lee, J.; Yi, S.; Won, M.; Song, Y.S.; Yi, H.-S.; Park, Y.J.; Park, K.C.; Kim, J.T.; Chang, J.Y.; Lee, M.J.; et al. Loss-of-function of IFT88 determines metabolic phenotypes in thyroid cancer. Oncogene 2018, 37, 4455–4474. [Google Scholar] [CrossRef]
  60. Tang, P.; Dang, H.; Huang, J.; Xu, T.; Yuan, P.; Hu, J.; Sheng, J.-F. NADPH oxidase NOX4 is a glycolytic regulator through mROS-HIF1α axis in thyroid carcinomas. Sci. Rep. 2018, 8, 15897. [Google Scholar] [CrossRef]
  61. Bannister, A.J.; Kouzarides, T. Regulation of chromatin by histone modifications. Cell Res. 2011, 21, 381–395. [Google Scholar] [CrossRef]
  62. Borbone, E.; Berlingieri, M.T.; De Bellis, F.; Nebbioso, A.; Chiappetta, G.; Mai, A.; Altucci, L.; Fusco, A. Histone deacetylase inhibitors induce thyroid cancer-specific apoptosis through proteasome-dependent inhibition of TRAIL degradation. Oncogene 2010, 29, 105–116. [Google Scholar] [CrossRef] [Green Version]
  63. Pugliese, M.; Fortunati, N.; Germano, A.; Asioli, S.; Marano, F.; Palestini, N.; Frairia, R.; Boccuzzi, G.; Catalano, M.G. Histone deacetylase inhibition affects sodium iodide symporter expression and induces 131I cytotoxicity in anaplastic thyroid cancer cells. Thyroid 2013, 23, 838–846. [Google Scholar] [CrossRef]
  64. Lin, C.-L.; Tsai, M.-L.; Lin, C.-Y.; Hsu, K.-W.; Hsieh, W.-S.; Chi, W.-M.; Huang, L.-C.; Lee, C.-H. HDAC1 and HDAC2 Double Knockout Triggers Cell Apoptosis in Advanced Thyroid Cancer. Int. J. Mol. Sci. 2019, 20, 454. [Google Scholar] [CrossRef] [Green Version]
  65. Devaiah, B.N.; Case-Borden, C.; Gegonne, A.; Hsu, C.H.; Chen, Q.; Meerzaman, D.; Dey, A.; Ozato, K.; Singer, D.S. BRD4 is a histone acetyltransferase that evicts nucleosomes from chromatin. Nat. Struct. Mol. Biol. 2016, 23, 540–548. [Google Scholar] [CrossRef] [Green Version]
  66. He, L.; Chen, C.; Gao, G.; Xu, K.; Ma, Z. ARV-825-induced BRD4 protein degradation as a therapy for thyroid carcinoma. Aging 2020, 12, 4547–4557. [Google Scholar] [CrossRef]
  67. Xu, B.; Qin, T.; Yu, J.; Giordano, T.J.; Sartor, M.A.; Koenig, R.J. Novel role of ASH1L histone methyltransferase in anaplastic thyroid carcinoma. J. Biol. Chem. 2020, 295, 8834–8845. [Google Scholar] [CrossRef]
  68. Chou, C.K.; Chen, R.F.; Chou, F.F.; Chang, H.W.; Chen, Y.J.; Lee, Y.F.; Yang, K.D.; Cheng, J.T.; Huang, C.C.; Liu, R.T. miR-146b is highly expressed in adult papillary thyroid carcinomas with high risk features including extrathyroidal invasion and the BRAF(V600E) mutation. Thyroid 2010, 20, 489–494. [Google Scholar] [CrossRef]
  69. Fuziwara, C.S.; Kimura, E.T. Insights into Regulation of the miR-17-92 Cluster of miRNAs in Cancer. Front. Med. 2015, 2, 64. [Google Scholar] [CrossRef] [Green Version]
  70. Takakura, S.; Mitsutake, N.; Nakashima, M.; Namba, H.; Saenko, V.A.; Rogounovitch, T.I.; Nakazawa, Y.; Hayashi, T.; Ohtsuru, A.; Yamashita, S. Oncogenic role of miR-17-92 cluster in anaplastic thyroid cancer cells. Cancer Sci. 2008, 99, 1147–1154. [Google Scholar] [CrossRef] [Green Version]
  71. Fuziwara, C.S.; Saito, K.C.; Kimura, E.T. Thyroid Follicular Cell Loss of Differentiation Induced by MicroRNA miR-17-92 Cluster Is Attenuated by CRISPR/Cas9n Gene Silencing in Anaplastic Thyroid Cancer. Thyroid 2020, 30, 81–94. [Google Scholar] [CrossRef] [Green Version]
  72. Santa-Inez, D.C.; Fuziwara, C.S.; Saito, K.C.; Kimura, E.T. Targeting the Highly Expressed microRNA miR-146b with CRISPR/Cas9n Gene Editing System in Thyroid Cancer. Int. J. Mol. Sci. 2021, 22, 7992. [Google Scholar] [CrossRef]
  73. Du, P.; Wang, L.; Sliz, P.; Gregory, R.I. A Biogenesis Step Upstream of Microprocessor Controls miR-17 approximately 92 Expression. Cell 2015, 162, 885–899. [Google Scholar] [CrossRef] [Green Version]
  74. Lee, Y.S. A Novel Type of Non-coding RNA, nc886, Implicated in Tumor Sensing and Suppression. Genom. Inform. 2015, 13, 26–30. [Google Scholar] [CrossRef] [Green Version]
  75. Lee, K.; Kunkeaw, N.; Jeon, S.H.; Lee, I.; Johnson, B.H.; Kang, G.Y.; Bang, J.Y.; Park, H.S.; Leelayuwat, C.; Lee, Y.S. Precursor miR-886, a novel noncoding RNA repressed in cancer, associates with PKR and modulates its activity. RNA 2011, 17, 1076–1089. [Google Scholar] [CrossRef] [Green Version]
  76. Lee, E.K.; Hong, S.-H.; Shin, S.; Lee, H.-S.; Lee, J.-S.; Park, E.J.; Choi, S.S.; Min, J.W.; Park, D.; Hwang, J.-A.; et al. nc886, a non-coding RNA and suppressor of PKR, exerts an oncogenic function in thyroid cancer. Oncotarget 2016, 7, 75000–75012. [Google Scholar] [CrossRef] [Green Version]
  77. Statello, L.; Guo, C.J.; Chen, L.L.; Huarte, M. Gene regulation by long non-coding RNAs and its biological functions. Nat. Rev. Mol. Cell Biol. 2021, 22, 96–118. [Google Scholar] [CrossRef]
  78. Duan, Y.; Wang, Z.; Xu, L.; Sun, L.; Song, H.; Yin, H.; He, F. lncRNA SNHG3 acts as a novel Tumor Suppressor and regulates Tumor Proliferation and Metastasis via AKT/mTOR/ERK pathway in Papillary Thyroid Carcinoma. J. Cancer 2020, 11, 3492–3501. [Google Scholar] [CrossRef] [Green Version]
  79. Lino, C.A.; Harper, J.C.; Carney, J.P.; Timlin, J.A. Delivering CRISPR: A review of the challenges and approaches. Drug Deliv. 2018, 25, 1234–1257. [Google Scholar] [CrossRef] [Green Version]
  80. Stadtmauer, E.A.; Fraietta, J.A.; Davis, M.M.; Cohen, A.D.; Weber, K.L.; Lancaster, E.; Mangan, P.A.; Kulikovskaya, I.; Gupta, M.; Chen, F.; et al. CRISPR-engineered T cells in patients with refractory cancer. Science 2020, 367, 1–12. [Google Scholar] [CrossRef]
  81. Lu, Y.; Xue, J.; Deng, T.; Zhou, X.; Yu, K.; Deng, L.; Huang, M.; Yi, X.; Liang, M.; Wang, Y.; et al. Safety and feasibility of CRISPR-edited T cells in patients with refractory non-small-cell lung cancer. Nat. Med. 2020, 26, 732–740. [Google Scholar] [CrossRef] [PubMed]
Figure 1. The basic components CRISPR/Cas9 system. (A) The crRNA associated with tracrRNA enters Cas9 endonuclease and guides the protein throughout the foreign DNA in search of a full-complementarity region adjacent to a PAM sequence in order to produce the double-strand break. (B) Detailed view of interaction of crRNA with the target DNA sequence (complementary sequence) and PAM sequence in the non-complementary strand of DNA.
Figure 1. The basic components CRISPR/Cas9 system. (A) The crRNA associated with tracrRNA enters Cas9 endonuclease and guides the protein throughout the foreign DNA in search of a full-complementarity region adjacent to a PAM sequence in order to produce the double-strand break. (B) Detailed view of interaction of crRNA with the target DNA sequence (complementary sequence) and PAM sequence in the non-complementary strand of DNA.
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Figure 2. Structural differences among guide RNAs. Comparison of the crRNA associated with tracrRNA and the single-guide (sgRNA) structure. The junction of crRNA + tracrRNA with the linker loop resulted in the structure of single-guide RNA (sgRNA).
Figure 2. Structural differences among guide RNAs. Comparison of the crRNA associated with tracrRNA and the single-guide (sgRNA) structure. The junction of crRNA + tracrRNA with the linker loop resulted in the structure of single-guide RNA (sgRNA).
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Figure 3. DNA repair mechanism. Mechanisms of gene editing mediated by NHEJ and HDR after CRISPR/Cas-induced double-strand break.
Figure 3. DNA repair mechanism. Mechanisms of gene editing mediated by NHEJ and HDR after CRISPR/Cas-induced double-strand break.
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Figure 4. Gene modulation with CRISPR/dCas9 system. Dead Cas9 (dCas9) as a tool to modulate gene expression without gene editing. (A) In CRISPRi (interference) system, dCas9 is fused to transcriptional inhibitors such as KRAB that blocks transcription of sgRNA targeted region; (B) In the CRISPRa (activation) system, dCas9 is fused to transcriptional activators such as VP64, RTA and P65 to induce the expression of sgRNA targeted region.
Figure 4. Gene modulation with CRISPR/dCas9 system. Dead Cas9 (dCas9) as a tool to modulate gene expression without gene editing. (A) In CRISPRi (interference) system, dCas9 is fused to transcriptional inhibitors such as KRAB that blocks transcription of sgRNA targeted region; (B) In the CRISPRa (activation) system, dCas9 is fused to transcriptional activators such as VP64, RTA and P65 to induce the expression of sgRNA targeted region.
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Figure 5. Plasmidial system to express CRISPR/Cas9 system. (A) CRISPR/Cas9 plasmid contains a site for BbsI digestion that creates the cloning site for the 20-nt sequence sgRNA; (B) The sgRNA sequence is ligated into BbsI-digested plasmids PX458 (GFP) or PX459 (puromycin resistance) as annealed DNA oligonucleotides with cohesive ends as shown in the figure CACC in the 5′ and CAAA in the 3′.
Figure 5. Plasmidial system to express CRISPR/Cas9 system. (A) CRISPR/Cas9 plasmid contains a site for BbsI digestion that creates the cloning site for the 20-nt sequence sgRNA; (B) The sgRNA sequence is ligated into BbsI-digested plasmids PX458 (GFP) or PX459 (puromycin resistance) as annealed DNA oligonucleotides with cohesive ends as shown in the figure CACC in the 5′ and CAAA in the 3′.
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Figure 6. Editing protein-coding genes with CRISPR/Cas9. Targeting protein coding genes with CRISPR/Cas9-mediate gene editing. The objective is to disrupt the coding sequence using sgRNAs targeting the first exons of the gene, close to the start codon “ATG”. As a result, loss of protein expression is expected due to deletions or insertions that may disrupt the start codon, change protein frame or even insert a premature stop codon.
Figure 6. Editing protein-coding genes with CRISPR/Cas9. Targeting protein coding genes with CRISPR/Cas9-mediate gene editing. The objective is to disrupt the coding sequence using sgRNAs targeting the first exons of the gene, close to the start codon “ATG”. As a result, loss of protein expression is expected due to deletions or insertions that may disrupt the start codon, change protein frame or even insert a premature stop codon.
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Figure 7. Editing non-coding genes with CRISPR/Cas9. Targeting non-coding genes with CRISPR/Cas9. In the figure the non-coding miRNA gene is represented and the sgRNAs target structural regions of the primary miRNA structure that are necessary for miRNA processing by DROSHA and DICER endonucleases.
Figure 7. Editing non-coding genes with CRISPR/Cas9. Targeting non-coding genes with CRISPR/Cas9. In the figure the non-coding miRNA gene is represented and the sgRNAs target structural regions of the primary miRNA structure that are necessary for miRNA processing by DROSHA and DICER endonucleases.
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Table 1. Class2 Cas nucleases comparison.
Table 1. Class2 Cas nucleases comparison.
OrganismCRISPR NucleaseCRISPR TypePAM Sequence (5’-3’)Size (Aminoacids)AimReference
Streptococcus pyogenesSpCas9Class2, Type IINGG1368 aaGene editing[2]
Staphylococcus aureusSaCas9Class2, Type IINNGRR or NGRRN1053 aaGene editing[9]
Neisseria meningitidisNmeCas9Class2, Type IINNNNGATT1082 aaGene editing[10]
Streptococcus thermophilusStCas9Class2, Type IINNAGAAW1409 aaGene editing[11]
Lachnospiraceae bacteriumLbCas12a (former Cpf1)Class2, Type VTTTV1228 aaGene editing[12]
DeltaproteobacteriaDpbCasX (Cas12e)Class2, Type IITTCN996 aaGene editing[13]
Table 2. Cas9 and the mutated variants used for gene editing and gene modulation.
Table 2. Cas9 and the mutated variants used for gene editing and gene modulation.
Cas ProteinRuvC DomainHNH DomainAplicationsReferences
Cas9Wild-typeWild-typeGene editing[2,18]
Cas9nD10AWild-typeGene editing[17,19]
Cas9nWild-typeH840AGene editing[17]
dCas9D10AH840AGene modulation, DNA imaging, etc.[20,21,22]
Table 3. Applications of CRISPR/Cas9 gene editing in thyroid cancer.
Table 3. Applications of CRISPR/Cas9 gene editing in thyroid cancer.
SectionTargeted GeneCell Line/Animal ModelThyroid Cancer HistotypeType of CasMain ObservationsReference
MAPK pathwayTwist3Zebrafish Tg-BRAF-TOMPTCCas9Partial restoration of thyroid follicular structure in zebrafish.[41]
EGFRSW579ATCCas9Cell cycle arrest and reduction of colony formation in ATC cell line.[42]
NF2KTC1PTCCas9Depletion of NF2 did not change PTC cell growth; Overexpression reduced cell growth.[45]
Nf1Murine HrasG12V/p53flox/flox cell linePDTCCas9Induction of resistence to Tipifarnib.[46]
EIF1AXCAL62, TTA1 and C643ATCCas9EIF1AX A113-splice mutation increased colony formation; while A113-splice correction reduced colony formation.[47]
Cancer cell invasion and migrationPDGFRASW579ATCCas9Restored epithelial gene expression and reduced cell invasion in vitro; impaired lung metastasis in vivo.[51]
HN18505C and CAL62ATCCas9Reduced cell invasion and migration in vitro; Inhibited tumor growth in vivo.[52]
MFN2Cal62ATCCas9Promotes epithelial-mesenchymal transition and invasion of ATC cells.[53]
BAG5IHH4PTCCas9Reduced cell invasion and migration by downregulation of FN1 via miR-144-3p.[54]
LIMD2BCPAP/TPC1PTCCas9Reduced cell invasion and EMT markers while improved cell polarity.[55]
Cell metabolism, drug resistence and apoptosisCDK7Cal62ATCCas9Reduced colony formation and cell viability, while induced cell cycle arrest and apoptosis.[56]
CDK12Cal62ATCCas9Reduced colony formation and cell growth, while induced apotosis.[57]
JAK2KMH2/CAL62ATCCas9Reduced cell proliferation.[58]
IFT888505CATCCas9Reduced cell proliferation, invasion and migration, dysregulated cell metabolism.[59]
p22phox/CYBATPC1PTCCas9Reduced mitochondrial ROS generation and impaired PTC cells proliferation in hypoxia.[60]
EpigeneticsHDAC1/ HDAC2SW579ATCCas9Enhanced histone acetilation levels and induced cell cycle arrest and apoptosis.[64]
BRD4TPC1PTCCas9Reduced cell viability and cell proliferation.[66]
ASH1LBHT-101ATCCas9Reduced cell growth in vitro and tumor growth in vivo.[67]
Targeting noncoding genesMIR17HGKTC2ATCCas9nReduced cell viability, migration and colony formation, and improved cell differentiation.[71]
MIR146BKTC2ATCCas9nReduced cell proliferation, viability and migration in vitro; Reduced tumor growth in vivo.[72]
nc88/VTRNA2-1C643ATCCas9Reduced cell proliferation, migration and invasion.[76]
SNHG3BCPAP/TPC1PTCCas9Induced cell proliferation, migration and invasion in vitro; Induced tumor growth in vivo.[78]
Abbreviations—PTC: papillary thyroid cancer; PDTC: poorly differentiated thyroid cancer; ATC: anaplastic thyroid cancer.
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Fuziwara, C.S.; de Mello, D.C.; Kimura, E.T. Gene Editing with CRISPR/Cas Methodology and Thyroid Cancer: Where Are We? Cancers 2022, 14, 844. https://doi.org/10.3390/cancers14030844

AMA Style

Fuziwara CS, de Mello DC, Kimura ET. Gene Editing with CRISPR/Cas Methodology and Thyroid Cancer: Where Are We? Cancers. 2022; 14(3):844. https://doi.org/10.3390/cancers14030844

Chicago/Turabian Style

Fuziwara, Cesar Seigi, Diego Claro de Mello, and Edna Teruko Kimura. 2022. "Gene Editing with CRISPR/Cas Methodology and Thyroid Cancer: Where Are We?" Cancers 14, no. 3: 844. https://doi.org/10.3390/cancers14030844

APA Style

Fuziwara, C. S., de Mello, D. C., & Kimura, E. T. (2022). Gene Editing with CRISPR/Cas Methodology and Thyroid Cancer: Where Are We? Cancers, 14(3), 844. https://doi.org/10.3390/cancers14030844

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