Next Article in Journal
Blood Free-Circulating DNA Testing of Methylated RUNX3 Is Useful for Diagnosing Early Gastric Cancer
Previous Article in Journal
mTORC2/Rac1 Pathway Predisposes Cancer Aggressiveness in IDH1-Mutated Glioma
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Dysregulated Pyrimidine Biosynthesis Contributes to 5-FU Resistance in SCLC Patient-Derived Organoids but Response to a Novel Polymeric Fluoropyrimidine, CF10

1
Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
2
Comprehensive Cancer Center Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
3
Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
4
W.G. (Bill) Hefner Veteran Administration Medical Center, Cancer Center, Salisbury, NC 27157, USA
5
Department of Pulmonary/Critical Care, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
6
Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
7
Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
*
Author to whom correspondence should be addressed.
Cancers 2020, 12(4), 788; https://doi.org/10.3390/cancers12040788
Submission received: 10 February 2020 / Revised: 13 March 2020 / Accepted: 16 March 2020 / Published: 26 March 2020

Abstract

:
Chemo-immunotherapy is central to the treatment of small cell lung cancer (SCLC). Despite modest progress made with the addition of immunotherapy, current cytotoxic regimens display minimal survival benefit and new treatments are needed. Thymidylate synthase (TS) is a well-validated anti-cancer drug target, but conventional TS inhibitors display limited clinical efficacy in refractory or recurrent SCLC. We performed RNA-Seq analysis to identify gene expression changes in SCLC biopsy samples to provide mechanistic insight into the potential utility of targeting pyrimidine biosynthesis to treat SCLC. We identified systematic dysregulation of pyrimidine biosynthesis, including elevated TYMS expression that likely contributes to the lack of efficacy for current TS inhibitors in SCLC. We also identified E2F1-3 upregulation in SCLC as a potential driver of TYMS expression that may contribute to tumor aggressiveness. To test if TS inhibition could be a viable strategy for SCLC treatment, we developed patient-derived organoids (PDOs) from human SCLC biopsy samples and used these to evaluate both conventional fluoropyrimidine drugs (e.g., 5-fluorouracil), platinum-based drugs, and CF10, a novel fluoropyrimidine polymer with enhanced TS inhibition activity. PDOs were relatively resistant to 5-FU and while moderately sensitive to the front-line agent cisplatin, were relatively more sensitive to CF10. Our studies demonstrate dysregulated pyrimidine biosynthesis contributes to drug resistance in SCLC and indicate that a novel approach to target these pathways may improve outcomes.

Graphical Abstract

1. Introduction

Small cell lung cancer (SCLC) is a highly lethal lung cancer sub-type with a median survival of only 15–20 months [1]. The majority of SCLC patients present with extensive disease for which the 5-year survival rate is only 2% [2]. Chemotherapy (e.g., cisplatin/carboplatin+etoposide) remains central to SCLC treatment and while highly effective at inducing an initial remission, relapse is nearly inevitable and recurrent disease is unresponsive to further therapy [3,4].
Currently, there are no small molecule targeted therapies for SCLC treatment. Unlike NSCLC for which some patients respond to receptor tyrosine kinase (RTK) inhibitors [5], SCLC is not characterized by a reliance on RTK-mediated signaling. Further, SCLC is characterized by near universal disruption of the p53 pathway [6], and upregulation of drug efflux proteins [7,8] that limit the pro-apoptotic and anti-cancer activities of many anti-cancer drugs. SCLCs do, however, express high levels of thymidylate synthase (TS) [9], which is a well-validated target for cancer chemotherapy. High TS activity may indicate SCLC cells are dependent on the de novo nucleotide biosynthetic pathway and thus may be vulnerable to TS inhibitors such as 5-FU [10], tomudex [11], and pemetrexed [12]. However, clinical studies with these agents have not demonstrated strong efficacy in SCLC [10,11,12].
Elevated TS expression is a principal cause of resistance to TS inhibitors, however multiple genes affect overall response. Elevated TS is a cause of both 5-FU-resistance in colon cancer [13] and pemetrexed resistance in NSCLC [14]. Genes other than TYMS (which encodes TS) also affect TS inhibitor efficacy. For example, capecitabine, an orally available pro-drug of 5-FU requires activation by thymidine phosphorylase (TP; encoded by TYMP), while anti-folate TS inhibitors depend on cell uptake that is mediated by either folate receptors or reduced folate carriers. The efficacy of fluoropyrimidine drugs (FPs) depends on their conversion to FdUMP, the TS inhibitory metabolite [15]. FPs compete with endogenous pyrimidine metabolites for activation and their activity depends on the overall efficiency of de novo pyrimidine biosynthesis and its importance relative to the salvage pathway. Recent studies demonstrate SCLC is highly dependent on de novo pyrimidine biosynthesis for survival [16]. Hence, it is important to consider overall pyrimidine biosynthesis regulation and not solely focus on TYMS expression in assessing the potential for targeting TS for SCLC treatment.
Elevated TS and dysregulated pyrimidine metabolism in SCLC may render conventional TS inhibitors relatively ineffective for SCLC treatment; however, a reliance on de novo Thy biosynthesis represents a highly attractive target for new agents with improved capacity for inhibiting elevated TS. We are developing polymeric FP (e.g., F10 [17]) as a new approach for treating malignancies with elevated TS. We demonstrated significantly increased potency for F10 relative to conventional TS inhibitors [18], including towards cancer cells that express elevated TS [19], and are resistant to 5-FU. The basis for F10’s improved activity is more efficient conversion to FdUMP [17], the TS-inhibitory metabolite of FPs [15]. Further, F10 was equipotent to cancer cells regardless of p53 status [20], which is important for treating p53-null SCLC [21,22]. In addition to strongly inhibiting TS, F10 also causes Topoisomerase 1 cleavage complex (Top1cc) formation. Top1 is the sole target of the camptothecin class of anti-cancer drugs (CPTs), and it is an important target for treating drug-resistant SCLC [23]. Dual targeting of TS/Top1 is a unique mechanism for polymeric FPs [22], with potential therapeutic advantages relative to conventional TS inhibitors and Top1 poisons. To build upon these findings, we recently developed CF10, a 2nd generation polymeric FP that displays improved stability to exonuclease degradation relative to F10, and increased potency to cancer cells.
While elevated TYMS is established in SCLC [24,25,26], no comprehensive analysis of genes mediating pyrimidine metabolism was previously reported for SCLC using human clinical samples. Further, the basis for TYMS upregulation in SCLC is not known. E2F1 is important for mediating TYMS expression in a cell cycle-dependent manner [27]; however, SCLC is almost invariably Rb-null [28]. E2F-family members are implicated in mediating an alternative transcriptional program in the absence of Rb that includes upregulation of genes important for invasion and metastasis [29]. Thus, it is important to consider elevated TYMS and dysregulated pyrimidine biosynthesis in the context of altered E2F-family expression and activation of a transcriptional program that contributes to the highly aggressive and metastatic properties of SCLC.

2. Results

2.1. RNA-Seq Reveals Dysregulated Pyrimidine Biosynthesis in SCLC

Prior to analyzing RNA-Seq data from SCLC clinical samples (Table S1) for evidence of pyrimidine biosynthesis dysregulation, we evaluated differential expression of genes that are established SCLC biomarkers between the SCLC FNA samples and the brush biopsy normal airway epithelial samples. Chromogranin (CHGA) [30], CD56 (NCAM1) [31], and synaptophysin (SYP) [32] were all significantly upregulated in our SCLC samples (Figure 1). DLL3, which is also characteristically upregulated in SCLC [33], and is under investigation for targeted therapy [34] also was significantly upregulated in our SCLC samples.
We then analyzed our RNA-Seq data for systematic differences in gene expression between SCLC and normal airway cells with initial focus on genes that are important for de novo nucleotide biosynthesis (Figure 2), particularly for genes important for activation of fluoropyrimidine drugs. TS is the principal target of FP drugs and TS overexpression is associated with lack of response to 5-FU-based regimens in CRC [13,35,36]. TYMS was significantly overexpressed in SCLC relative to normal airway and the extent of overexpression (7.1-fold) is consistent with elevated TS levels that are associated with 5-FU-resistance in colon cancer. Other genes important for de novo Thy biosynthesis were also significantly upregulated in our SCLC samples including DHFR, RRM1, and RRM2. DHFR catalyzes regeneration of the reduced folate co-factor required for TS activity. RRM1 and RRM2 are components of ribonucleotide reductase, which catalyzes enzymatic reduction of ribonucleotides, including UDP, which is a precursor to dUMP, the nucleotide substrate for TS. However, RRM2B, which is p53-regulated, was significantly downregulated in SCLC consistent with mutation or deletion of p53 occurring in most SCLC samples. TK, which is important for Thy salvage, is significantly upregulated in SCLC, but the magnitude of TK1 upregulation is considerably less than for TYMS (2.6 vs. 7.1-fold), consistent with a reliance primarily on de novo Thy biosynthesis in SCLC.
DPYD, which catalyzes pyrimidine catabolism, was significantly downregulated in our SCLC samples. Increased folate uptake in SCLC was evident in upregulation of SLC19A1 and SL46A1, which encode reduced folate carriers (RFC), while FOLR1, which encodes folate receptor α (FRα), was downregulated in SCLC relative to normal airway cells. Most other genes regulating pyrimidine metabolism and FP activity including UCK1, UPP1, UPP2, and DUT displayed <2-fold changes in expression in SCLC, a notable exception being TYMP, which encodes thymidine phosphorylase (TP), which is significantly downregulated in our SCLC samples. TP catalyzes the reversible conversion of Thy into thymine and it is upregulated in several malignancies and is important for capecitabine activation. Elevated TYMS and reduced TYMP are consistent with expression of genes regulating pyrimidine metabolism contributing to the lack of efficacy for 5-FU and capecitabine in SCLC treatment. However, this expression profile does not preclude activity for our novel FP polymers in SCLC. FP polymers such as CF10 may be more directly converted to FdUMP and thus display improved activity relative to 5-FU towards malignant cells that express elevated TYMS, as we have shown previously in TS-overexpressing colon cancer cells [19]. Further, the activity of FP polymers is likely independent of TYMP expression.

2.2. Elevated De Novo Thy Biosynthesis Is Associated with E2F1-3 Upregulation

The genes regulating nucleotide biosynthesis are typically regulated by E2F-family members in a cell-cycle-dependent manner through the phosphorylation of Rb, which in its hypophosphorylated form represses E2F function. Consistent with other studies demonstrating Rb loss in SCLC [37], we detect significantly decreased RB1 expression in our SCLC samples (Figure 3). CDK4/6, which phosphorylates Rb to drive cell cycle progression and is a therapeutic target in breast cancer and other malignancies, is not upregulated in SCLC. CDK6 is actually significantly downregulated in our SCLC samples while CDK4 displays <2-fold increased expression. E2F-family expression was highly variable with E2F1, E2F2, and E2F3 significantly upregulated on our SCLC samples while E2F4, E2F5, and E2F6 displayed <2-fold changes in expression. E2F7 was also significantly upregulated in SCLC while E2F8 was the only E2F family member significantly downregulated in our SCLC samples. It is important to distinguish among E2F family member expression in SCLC because of divergent function with E2F4-5 mainly associated with repressive activity and E2F1 contributing to S-phase entry [38]. Further, overexpression of E2F1 concomitant with Rb-loss is implicated in activating a transcriptional program that drives cancer progression, invasion, and metastasis [29,39,40]. E2F1 is implicated in regulating Zeb1 and Zeb2 expression [41], which promotes EMT, and MMP9 [42], which drives cancer cell invasion. Zeb1 (but not Zeb2), and MMP9 are significantly upregulated in our SCLC samples (Figure 3). Further, other MMPs not previously implicated as being E2F1-3-regulated including MMP-11, -16, and -26 were also significantly upregulated in our SCLC samples.

2.3. Myc-Family Expression and Gene Ontology Analysis

Myc-family members are also oncogenic drivers of SCLC. Further, TYMS is a Myc-regulated gene and TYMS overexpression was previously implicated in compensating for Myc loss and driving proliferation in Myc-knockdown melanoma cells [43]. Each Myc-family member is associated with a different sub-type of SCLC [44], which is predominantly a neuroendocrine malignancy with characteristically high MycN expression [45,46]. MYCN was the only Myc-family member significantly overexpressed in our SCLC samples (Figure 4). Interestingly MYCN opposite strand (MYCNOS) [47], a non-coding RNA surrounding the MYCN promoter implicated in MYCN upregulation in neuroblastoma, was also upregulated in our SCLC samples. Our findings indicate that in addition to E2F1-3 regulation of TYMS and genes important for de novo nucleotide biosynthesis in SCLC that MYCN could also contribute to their elevated expression. To gain further insight into dysregulation of pathways in SCLC we performed a gene ontology enrichment analysis of our RNA-Seq data using PANTHER. All genes with a log2 fold-change >2.8 were included in our analysis. Among the gene ontology categories identified as significantly upregulated were (Table S3) Cell Division (GO:0051301), mitotic cell cycle process (GO:1903047), and cell cycle process (GO:0022402). Thus, our RNA-Seq data confirmed systematic upregulation of genes that are important components of pathways regulating cell proliferation.

2.4. Dysregulated Pyrimidine Biosynthesis Is Associated with 5-FU Resistance, but CF10 Sensitivity

Patient-derived organoids (PDOs) [48] provide a valuable resource for evaluating drug sensitivity ex vivo using clinically-derived tissue samples. Resected tumor tissue is a typical source of material for PDO formation, however, SCLC is a diffuse malignancy and patients rarely undergo surgical resection limiting the utility of this research technique. Further, the small amounts of tissue available from needle aspiration samples obtained to confirm a SCLC diagnosis are insufficient to produce PDOs for drug testing. We therefore investigated whether SCLC FNA samples could be used to first establish PDX tumors in NSG mice and then to produce sufficient tumor volumes for PDO formation. PDX tumors may also be used to directly assess drug response, however, such studies are resource intensive and expensive and generally it is not possible to test more than one or two PDX lines in vivo. In contrast, PDOs can provide information on drug response in samples from multiple patients providing information on the generality of drug response.
All patient samples were confirmed as SCLC through panel staining including immunostaining for synaptophysin, TTF, and CD56 (Figure S1). We successfully propagated PDX tumors from five FNA samples from confirmed SCLC patients. PDX tumors were expanded to 1000–1500 mm3, and then surgically removed. A portion of each tumor was then sectioned, stained with hematoxylin and eosin, and reviewed by a pathologist to confirm propagation of SCLC tumors (Figure S2). SCLC PDX were subject to tumor dissociation to generate PDOs for drug testing ex vivo (Figure S2). We obtained sufficient cell mass from four PDX for PDO ex vivo drug testing (Figure 5). PDX and PDO samples were confirmed for retention of SCLC by (Figure S3) and immunostaining (Figure 5).
We tested cisplatin, 5-FU, and the novel 2nd generation fluoropyrimidine polymer CF10 in our SCLC PDO models (Figure 5). Platinum drugs are used for front-line treatment of SCLC and cisplatin was included as a positive control in our PDO studies. Cisplatin was active at high micromolar concentrations with IC50 values ranging from 45.4 to 114.2 μM in PDOs derived from four SCLC patients (Figure 5 and Figure S4). Consistent with our RNA-Seq analysis of SCLC FNA samples that showed elevated expression of genes associated with de novo Thy biosynthesis (Figure 2), PDOs derived from SCLC FNA samples were relatively resistant to 5-FU with IC50 values ranging from 0.2564 to 1.475 mM, drug concentrations that could result in intolerable damage to sensitive non-malignant tissues such as gastrointestinal and hematopoietic tissue [22]. 5FU’s lack of efficacy toward SCLC PDOs is consistent with previous clinical trials that demonstrated limited clinical efficacy for 5-FU in SCLC treatment [10]. Since previous studies with TS-overexpressing colon cancer cells showed that elevated TYMS was associated with 5-FU resistance [36], but retained sensitivity to polymeric fluoropyrimidines (e.g., F10 [19]), we also tested CF10 in our SCLC PDO models. CF10 is a 2nd generation polymeric FP that shows promising activity in several pre-clinical tumor models. CF10 was much more potent than 5-FU towards PDOs derived from all four SCLC patients tested (4.864–27.57 μM), which is consistent with CF10 being potentially useful for SCLC treatment despite the lack of efficacy for conventional FP drugs (e.g., 5-FU, capecitabine) in treating SCLC. Further, CF10 was consistently more potent than cisplatin in all SCLC PDO models in which both agents were tested, indicating it may be potentially useful for treating relapsed SCLC that is resistant to cisplatin. We went on to test the efficacy of F10 towards one of the PDX lines used for PDO evaluation. F10 was dosed i.p. 2×/week for 4 weeks at approximately 400 mg/kg/dose. This dose was well tolerated and all F10-treated (n = 5) and vehicle-treated mice (n = 2) gained weight during treatment (Figure S5). Tumor growth curves displayed wide variability for both vehicle- and F10-treated mice and larger studies will be required to determine if F10 and/or CF10 exert anti-tumor activity for SCLC in vivo (Figure S6).

3. Discussion

Chemotherapy is central to SCLC treatment, but current regimens display limited efficacy. Targeted agents that display activity in treating other lung cancer sub-types (e.g., EGFR- and ALK-inhibitors in NSCLC) are relatively ineffective for SCLC because these pathways are generally not dysregulated in SCLC [49]. Further, the spectrum of conventional drugs that are effective for SCLC treatment is also limited, in part, due to near universal inactivation of p53 [6], which limits drug-induced apoptosis. Further, increased expression of drug efflux proteins [7,8] limit accumulation of many anti-cancer drugs in SCLC cells. Thus, new approaches to improve outcomes in SCLC are urgently needed. In light of recent reports that SCLC is highly dependent on de novo pyrimidine biosynthesis for survival [16], approaches targeting pyrimidine biosynthesis are of strong interest.
Targeting de novo nucleotide biosynthesis is a highly effective strategy used to treat multiple malignancies. For example, inhibiting ribonucleotide reductase is effective in treating acute leukemias [50,51], while TS inhibition [15] is central to treatment of gastrointestinal malignancies, including colon [13] and pancreatic cancer [52]. TS inhibition has limited efficacy for SCLC treatment, however. Several previous studies have reported elevated TS levels occur in SCLC cells and tumor tissue [24,25,26], consistent with elevated expression of TS contributing to lack of efficacy for both fluoropyrimidine and anti-folate TS inhibitors. While elevated TS is an important factor affecting drug response, the efficacy of fluoropyrimidine drugs such as 5-FU and capecitabine also depends on efficient conversion to the TS-inhibitory metabolite, FdUMP [15]. Our data show that TYMP, which encodes thymidine phosphorylase (TP), is substantially downregulated in our SCLC samples (Figure 2). TP in tumor tissue is important for capecitabine activation and TP together with TK is also important for direct conversion of 5-FU to FdUMP. In colon cancer cells, 5-FU is predominantly converted to ribonucleotides via OPRT [53] (encoded by UMPS), and in SCLC the downregulation of TYMP coupled with moderately upregulated UMPS (log2FC = 0.37; Supplementary Table S2) is consistent with 5-FU also being predominantly converted to ribonucleotides. While 5-FU may induce apoptosis via an RNA-mediated process, this process is p53-dependent [20]. Thus, elevated TS coupled with lack of efficient conversion to FdUMP likely contributes to the lack of efficacy for conventional fluoropyrimidine drugs in SCLC. Further, elevated TS coupled with downregulation of FOLR1 (encoding FRα) and marginally upregulated expression of SLC19A1 and SLC46A1 (encoding reduced folate carriers) likely contributes to a relative lack of efficacy for anti-folate TS inhibitors in SCLC, including pemetrexed and raltitrexed.
TYMS upregulation in SCLC, while contributing to resistance to conventional TS inhibitors, may indicate a reliance on de novo Thy biosynthesis in SCLC that renders this malignancy susceptible to treatment with polymeric fluoropyrimidines, such as CF10, that are more directly converted to FdUMP. We previously showed TS-overexpressing colon cancer cells remained relatively sensitive to F10 [19], a polymeric fluoropyrimidine that showed promising activity in multiple pre-clinical cancer models including AML [22], ALL [54], GBM [55], and prostate cancer [18]. We also showed F10 inhibited TS enzymatic activity at much lower doses than 5-FU [18], consistent with more efficient conversion to FdUMP. F10 cytotoxicity is mediated by a unique mechanism that involves TS inhibition, which stimulates misincorporation of FdUTP into DNA causing topoisomerase 1 cleavage complex formation (Top1cc) [21,22,56]. Top1cc induced by F10 differ from camptothecin because DNA repair occurs under thymineless conditions, which renders repair relatively less effective [57,58]. We recently developed CF10, a 2nd generation polymer with improved nuclease stability relative to F10. The improved stability of CF10 results from inclusion of the non-native nucleoside Cytarabine (AraC) at the 3’-terminus, which reduces exonucleolytic degradation [59]. CF10 displays improved activity relative to F10 in the NCI 60 cell line screen, and greater in vivo anti-tumor activity [60]. CF10 is also being evaluated by the NCI Nanotechnology Characterization Laboratory as a novel, nanoscale material for cancer treatment. Our studies confirm CF10 is much more potent than 5-FU to PDOs developed from SCLC biopsy samples (Figure 5). Further, CF10 was more potent than cisplatin towards SCLC PDOs indicating the potential for CF10 translation to treat this malignancy. For all in vivo studies completed to date, F10 and CF10 have demonstrated greatly reduced systemic toxicities relative to 5-FU [18,22,54,55], which is consistent with reduced conversion to ribonucleotide metabolites that are primarily responsible for 5-FU’s gastrointestinal toxicity [61], which is treated with Urd triacetate [62], consistent with an RNA origin. Our in vivo pilot study demonstrated F10 was well tolerated and all F10-treated mice in our study gained weight indicating higher doses would likely be tolerated (Figure S5). Further testing is needed to establish if FP polymers display anti-tumor activity in SCLC PDX. Use of the more potent analog CF10 in future studies and optimization of dose and schedule may enable establishing in vivo efficacy.
Since TYMS, and other genes important for de novo nucleotide biosynthesis are regulated, in part, by E2F-family members, we also analyzed RNA-Seq data to identify putative drivers of altered gene expression in SCLC that affect the efficacy of TS inhibitors. E2F-family expression was highly variable in SCLC with E2F1, E2F2, and E2F3 significantly upregulated. E2F1-3 upregulation in the context of Rb-loss, which is near universal in SCLC, is implicated in upregulating a transcriptional program that drives proliferation and metastasis [29]. Our RNA-Seq data are consistent with dysregulated pyrimidine metabolism being a component of such a pro-metastatic transcriptional program that is upregulated in SCLC. Gene ontology enrichment analysis of our RNA-Seq data identified dysregulation of genes regulating cell division and mitotic cell processes consistent with this interpretation, together with upregulation of transcription factors that drive epithelial-to-mesenchymal transition (EMT; e.g., Zeb1), and genes that promote cell invasion (e.g., MMP9). Importantly, TS may be an actionable target in the context of this altered transcriptional program and polymeric fluoropyrimidines such as CF10 may be more effective than conventional agents at inhibiting TS, and may result in a positive therapeutic response.
Of note, a limitation of the current study is the lack of publicly available SCLC RNAseq data profiled together with normal lung epithelium to enable robust confirmation of our current observations. However, we believe the rigorous statistics used in our analysis, that correct for false discovery rate, allow a reliable assessment of gene-pathway relevance in SCLC malignancies. Further work that expands on these observations and seeks to ascertain the relative frequency of pathway involvement in SCLC cases is warranted.

4. Materials and Methods

4.1. Samples and Clinical Data

All clinical samples were obtained from consented patients at Wake Forest Baptist Hospital (WFBH) under a protocol approved by the institutional review board (IRB) (IRB Protocol No. IRB00043264). We collected two bronchoscopic fine needle aspirates (FNA) for research purposes from 12 patients who underwent biopsy to confirm a suspected diagnosis of SCLC (Table S1). Patients were offered standard of care treatment. Tumor samples were collected by endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) from the primary tumor or proximal lymph nodes. At the time of biopsy, each patient also had mucosal brushings of the right proximal main-stem bronchus to isolate non-malignant airway epithelial cells. Twelve cases of SCLC were confirmed by immunohistochemistry for established SCLC markers including CD56 and chromogranin. We isolated RNA from one FNA research sample and the corresponding brush biopsy sample from each patient. Eight matched pairs were deemed to yield RNA of sufficient quality and quantity to proceed with RNA-Seq analysis. The second FNA research sample was used to form patient-derived xenografts in NOD/SCID mice. PDX tumors were formed from five of the eight patient samples used for RNA-Seq analysis and four of these were used to develop patient-derived organoids (PDO) for drug testing.

4.2. EBUS-TBNA

We performed all clinical procedures with patients under deep sedation using a flexible ultrasound bronchoscope (CP-EBUS-XBF-UC260F, Olympus, Tokyo, Japan) and a 21G Vizashot needle. At least three transbronchial needle aspirations were taken at each suspected tumor or nodal station in accordance with diagnostic and staging standards. The initial samples were processed in a standard institutional fashion previously described [63], with preparation of slides for rapid on-site cytological interpretation, as well as collecting material to build a cell-block for delayed pathological evaluation. If rapid on-site cytology reported a high likelihood of tumor from a specified location, a fine needle aspirate (FNA) from the same location was collected and expelled into ice-cold culture media (for PDX generation) or RNAlater (for expression analysis). In addition to the needle aspiration, study participants underwent mucosal brushings of the right proximal main-stem bronchus using a standard, disposable cytology brush. Two brushings were obtained from each subject and stored in RNAlater solution (ThermoFisher).

4.3. PDX Generation

This study was approved by the WFU ACUC and all studies were performed in compliance with AALAS guidelines. SCLC tumor biopsy samples for patient derived xenograft (PDX) generation were collected into RPMI media and maintained at 4 °C until used for PDX generation, generally within a few hours. Samples were centrifuged, re-suspended in media, and mixed 1:1 with Matrigel, and then sub-cutaneously injected into the mammary fat pads of 8–10 week old female NSG mice (Charles River). Mice were monitored daily with weight and tumor volumes measured 2×/week. When tumors were 1000–1500 mm3, PDX recipients were humanely euthanized by CO2 asphyxiation and cervical dislocation and tumors were resected, sectioned and stained to confirm propagation of SCLC, and used for patient-derived organoid (PDO) generation and drug testing.

4.4. PDO Formation and Drug Testing

Tumor organoids [64] were generated using the base material components from HyStem-HP hydrogel kits (ESI-BIO, Alameda, CA), which include a crosslinker, Heprasil, and Gelin-S with the addition of a photoinitiator. The cell suspension was mixed with the hydrogel at a concentration at 100,000 per 10 µL and placed in PDMS-coated wells prior to UV-activated crosslinking. Organoids were grown in DMEM media for 2–3 days prior to a 96 h chemotherapy treatment. Cell viability was analyzed using CellTiter-Glo 3D (Promega) that measures ATP amount in each organoid and calculated compared to non-drugged control. IC50 curves were generated using GraphPad Prism. ± SEM. n = 3–6 depending on sample.

4.5. RNA-Seq

Total RNA was extracted from tumor specimens and brush biopsies using the miRNAeasy Micro Kit with Qiazol (Qiagen). Samples were assessed for quality by electrophoretic tracing (Agilent Bioanalyzer) and libraries were generated using the Illumina TruSeq Stranded Total RNA kit with Ribo-Zero rRNA depletion. Briefly, 100–500 ng of total RNA was depleted of rRNA, fragmented, and reverse-transcribed to double-stranded cDNA, then purified using AMPure XP magnetic beads. After subsequent cDNA end repair and 3′ adenylation, Illumina sequencing adaptors were ligated to fragment ends, and the libraries were pre-amplified with PCR. Library size distributions were inspected for quality using an Agilent 2100 Bioanalyzer. Library quantity was measured using the Qubit 3.0 (Thermo Fisher, USA). Indexed libraries were then pooled and sequenced to a target read depth of 30 M reads per library using 75 bp single-end sequencing on an Illumina NextSeq 500 high-output flow cell. Sample read depths ranged from 22 to 40 M. For each sample, approximately 80% of sequences achieved >Q30 Phred quality scores (FASTQC analysis, Babraham Bioinformatics). Adapter contamination was cleaned with Trimmomatic [65]. Reads were aligned to the reference human genome GRCh38 using the STAR sequence aligner [66], and gene counts determined using featureCounts software [67]. Differentially expressed genes were identified by negative binomial modeling using DESeq2 [68]. This work was performed by the Cancer Genomics Shared Resource of the Wake Forest Baptist Comprehensive Cancer Center.

5. Conclusions

SCLC remains one of the most intransigent of malignancies. Our studies provide new insights into how dysregulated expression of genes important for nucleoside metabolism contribute to the lack of efficacy for conventional fluoropyrimidine drugs (5-FU, capecitabine) in SCLC treatment. In particular, we show that not only does elevated TYMS contribute to resistance, but downregulated TYMP may contribute to fluoropyrimidine resistance by limiting conversion to the active metabolite, FdUMP. Expression of TYMS and other genes important for de novo nucleotide biosynthesis is regulated by E2F-family members and our RNA-Seq data demonstrate E2F1-3 are significantly upregulated in SCLC. Several genes implicated in invasion and metastasis (e.g., MMP9, Zeb1) are under E2F-family regulation under conditions where Rb is lost, such as is in SCLC. Our RNA-Seq data are consistent with alterations in nucleotide metabolism also being a component of such a pro-metastatic transcriptional program. We also identified previously unreported genes including MMP-11, -16, and -26 that are significantly upregulated in SCLC and which may be regulated by E2F-family transcription factors and contribute to the strong propensity for SCLC to metastasize.
TS is a well-validated target for cancer treatment and TS inhibitors are central components of many chemotherapy regimens used to treat a number of malignancies, including colon cancer. Elevated TS could indicate a reliance on de novo Thy biosynthesis in SCLC that renders TS an actionable target. Thus, new drugs that more efficiently inhibit TS and are less vulnerable to dysregulated pyrimidine metabolism may be effective for SCLC treatment. Our studies with PDOs derived from SCLC biopsy samples demonstrate that CF10 is significantly more effective than 5-FU towards all patient samples tested. CF10 was also more potent than cisplatin indicating therapeutic potential for SCLC treatment, possibly including activity in cisplatin-resistant disease.

6. Patents

Wake Innovations has filed a patent application on CF10 for treatment of colorectal cancer, which is pending.

Supplementary Materials

The following are available online at https://www.mdpi.com/2072-6694/12/4/788/s1, Table S1: Patient characteristics for SCLC clinical samples, Table S2: Summary of gene expression differences between SCLC and non-malignant airway tissue, Table S3: Summary of Geneo Ontology differences from Panther analysis, Figure S1: Images of panel staining used to confirm SCLC in clinical samples. Figure S2: Diagram of flow of clinical samples to create PDX and PDO samples for these studies. Figure S3: H&E-stained section of PDX tumor developed from SCLC patient sample, Figure S4: Aggregate dose response curves for CF10, cisplatin, and 5-FU in SCLC patient-derived organoids (PDOs). Figure S5: Representative data from PDX study showing response to CF10 in vivo.

Author Contributions

Conceptualization, W.H.G.; methodology, L.D.M., A.D., F.M., L.M.; software, J.W.C.; validation, L.D.M., G.P.; formal analysis, L.D.M.; investigation, W.G.; resources, T.D., K.W.T., C.R.B.; writing—original draft preparation, W.G.; writing—review and editing, L.D.M., J.R., T.D., K.W.T., C.R.B.; funding acquisition, W.G. All authors have read and agreed to the published version of the manuscript.

Funding

Research reported in this publication was funded by a Pilot Grant from the Lung Cancer Research Program of the Wake Forest Baptist Comprehensive Cancer Center, which is supported by the National Cancer Institute’s Cancer Center Support Grant (P30CA012197). Gmeiner WH is supported by NIH grant (NIH-NCI R21 CA218933).

Acknowledgments

We are grateful to the patients who contributed their tumor specimens. The authors wish to acknowledge the support of the Wake Forest Baptist Comprehensive Cancer Center Cancer Genomics Shared Resource, Tumor Tissue and Pathology Shared Resource, and Biostatistics Shared Resource supported by the National Cancer Institute’s Cancer Center Support Grant award number P30CA012197. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute. The authors acknowledge Yi Zhou for reviewing H&E stained sections of PDX tumors and are grateful to W. Jeff Petty for logistical support and Ralph D’Agostino, for critical reading of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Lally, B.E.; Urbanic, J.J.; Blackstock, A.W.; Miller, A.A.; Perry, M.C. Small cell lung cancer: Have we made any progress over the last 25 years? Oncologist 2007, 12, 1096–1104. [Google Scholar] [CrossRef] [PubMed]
  2. Jackman, D.M.; Johnson, B.E. Small-cell lung cancer. Lancet 2005, 366, 1385–1396. [Google Scholar] [CrossRef]
  3. Alvarado-Luna, G.; Morales-Espinosa, D. Treatment for small cell lung cancer, where are we now?-a review. Transl. Lung Cancer Res. 2016, 5, 26–38. [Google Scholar] [CrossRef]
  4. Nesbit, E.G.; Leal, T.A.; Kruser, T.J. What is the role of radiotherapy for extensive-stage small cell lung cancer in the immunotherapy era? Transl. Lung Cancer Res. 2019, 8, S153–S162. [Google Scholar] [CrossRef]
  5. Le, T.; Gerber, D.E. Newer-Generation EGFR Inhibitors in Lung Cancer: How Are They Best Used? Cancers (Basel) 2019, 11, 366. [Google Scholar] [CrossRef] [Green Version]
  6. Karachaliou, N.; Sosa, A.E.; Rosell, R. Unraveling the genomic complexity of small cell lung cancer. Transl. Lung Cancer Res. 2016, 5, 363–366. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Yeh, J.J.; Hsu, N.Y.; Hsu, W.H.; Tsai, C.H.; Lin, C.C.; Liang, J.A. Comparison of chemotherapy response with P-glycoprotein, multidrug resistance-related protein-1, and lung resistance-related protein expression in untreated small cell lung cancer. Lung 2005, 183, 177–183. [Google Scholar] [CrossRef] [PubMed]
  8. Chen, Y.T.; Feng, B.; Chen, L.B. Update of research on drug resistance in small cell lung cancer chemotherapy. Asian Pac. J. Cancer Prev. 2012, 13, 3577–3581. [Google Scholar] [CrossRef] [Green Version]
  9. Tanaka, F.; Wada, H.; Fukui, Y.; Fukushima, M. Thymidylate synthase (TS) gene expression in primary lung cancer patients: A large-scale study in Japanese population. Ann. Oncol. 2011, 22, 1791–1797. [Google Scholar] [CrossRef]
  10. Morere, J.F.; Duran, A.; Tcherakian, F.; Boaziz, C.; Valeyre, D.; Battesti, J.P.; Breu, J.L.; Israel, L. Cisplatin-5-fluorouracil in small cell lung cancer. A phase II study in 109 patients. Lung Cancer 1994, 11, 275–281. [Google Scholar] [CrossRef]
  11. Woll, P.J.; Basser, R.; Le Chevalier, T.; Drings, P.; Perez Manga, G.; Adenis, A.; Seymour, L.; Smith, F.; Thatcher, N. Phase II trial of raltitrexed (’Tomudex’) in advanced small-cell lung cancer. Br. J. Cancer 1997, 76, 264–265. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Ferraldeschi, R.; Thatcher, N.; Lorigan, P. Pemetrexed in small-cell lung cancer: Background and review of the ongoing GALES pivotal trial. Expert Rev. Anticancer. Ther. 2007, 7, 635–640. [Google Scholar] [CrossRef]
  13. Salonga, D.; Danenberg, K.D.; Johnson, M.; Metzger, R.; Groshen, S.; Tsao-Wei, D.D.; Lenz, H.J.; Leichman, C.G.; Leichman, L.; Diasio, R.B.; et al. Colorectal tumors responding to 5-fluorouracil have low gene expression levels of dihydropyrimidine dehydrogenase, thymidylate synthase, and thymidine phosphorylase. Clin. Cancer Res. 2000, 6, 1322–1327. [Google Scholar] [PubMed]
  14. Takezawa, K.; Okamoto, I.; Okamoto, W.; Takeda, M.; Sakai, K.; Tsukioka, S.; Kuwata, K.; Yamaguchi, H.; Nishio, K.; Nakagawa, K. Thymidylate synthase as a determinant of pemetrexed sensitivity in non-small cell lung cancer. Br. J. Cancer 2011, 104, 1594–1601. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Gmeiner, W.H. Novel chemical strategies for thymidylate synthase inhibition. Curr. Med. Chem. 2005, 12, 191–202. [Google Scholar] [CrossRef] [PubMed]
  16. Li, L.; Ng, S.R.; Colon, C.I.; Drapkin, B.J.; Hsu, P.P.; Li, Z.; Nabel, C.S.; Lewis, C.A.; Romero, R.; Mercer, K.L.; et al. Identification of DHODH as a therapeutic target in small cell lung cancer. Sci. Transl. Med. 2019, 11. [Google Scholar] [CrossRef]
  17. Gmeiner, W.H.; Debinski, W.; Milligan, C.; Caudell, D.; Pardee, T.S. The applications of the novel polymeric fluoropyrimidine F10 in cancer treatment: Current evidence. Future Oncol. 2016, 12, 2009–2020. [Google Scholar] [CrossRef] [Green Version]
  18. Gmeiner, W.H.; Willingham, M.C.; Bourland, J.D.; Hatcher, H.C.; Smith, T.L.; D’Agostino, R.B., Jr.; Blackstock, W. F10 Inhibits Growth of PC3 Xenografts and Enhances the Effects of Radiation Therapy. J. Clin. Oncol. Res. 2014, 2, 1028. [Google Scholar]
  19. Liu, J.; Kolar, C.; Lawson, T.A.; Gmeiner, W.H. Targeted drug delivery to chemoresistant cells: Folic acid derivatization of FdUMP[10] enhances cytotoxicity toward 5-FU-resistant human colorectal tumor cells. J. Org. Chem. 2001, 66, 5655–5663. [Google Scholar] [CrossRef]
  20. Bunz, F.; Hwang, P.M.; Torrance, C.; Waldman, T.; Zhang, Y.; Dillehay, L.; Williams, J.; Lengauer, C.; Kinzler, K.W.; Vogelstein, B. Disruption of p53 in human cancer cells alters the responses to therapeutic agents. J. Clin. Investig. 1999, 104, 263–269. [Google Scholar] [CrossRef] [Green Version]
  21. Liao, Z.Y.; Sordet, O.; Zhang, H.L.; Kohlhagen, G.; Antony, S.; Gmeiner, W.H.; Pommier, Y. A novel polypyrimidine antitumor agent FdUMP[10] induces thymineless death with topoisomerase I-DNA complexes. Cancer Res. 2005, 65, 4844–4851. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Pardee, T.S.; Gomes, E.; Jennings-Gee, J.; Caudell, D.; Gmeiner, W.H. Unique dual targeting of thymidylate synthase and topoisomerase1 by FdUMP[10] results in high efficacy against AML and low toxicity. Blood 2012, 119, 3561–3570. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Sevinc, A.; Kalender, M.E.; Altinbas, M.; Ozkan, M.; Dikilitas, M.; Camci, C.; Anatolian Society of Medical, O. Irinotecan as a second-line monotherapy for small cell lung cancer. Asian Pac. J. Cancer Prev. 2011, 12, 1055–1059. [Google Scholar] [PubMed]
  24. Nagasaki, T.; Tsuchiya, T.; Tagawa, T.; Honda, S.; Yamasaki, N.; Miyazaki, T.; Hidaka, S.; Hayashi, T.; Nagayasu, T. Analysis of 5-fluorouracil-related enzymes in pulmonary neuroendocrine carcinoma: Differences in biological properties compared to epithelial carcinoma. Clin. Lung Cancer 2010, 11, 412–422. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Monica, V.; Scagliotti, G.V.; Ceppi, P.; Righi, L.; Cambieri, A.; Lo Iacono, M.; Saviozzi, S.; Volante, M.; Novello, S.; Papotti, M. Differential Thymidylate Synthase Expression in Different Variants of Large-Cell Carcinoma of the Lung. Clin. Cancer Res. 2009, 15, 7547–7552. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Ibe, T.; Shimizu, K.; Nakano, T.; Kakegawa, S.; Kamiyoshihara, M.; Nakajima, T.; Kaira, K.; Takeyoshi, I. High-grade neuroendocrine carcinoma of the lung shows increased thymidylate synthase expression compared to other histotypes. J. Surg. Oncol. 2010, 102, 11–17. [Google Scholar] [CrossRef]
  27. Bertino, J.R.; Banerjee, D. Thymidylate synthase as an oncogene? Cancer Cell 2004, 5, 301–302. [Google Scholar] [CrossRef] [Green Version]
  28. George, J.; Lim, J.S.; Jang, S.J.; Cun, Y.; Ozretic, L.; Kong, G.; Leenders, F.; Lu, X.; Fernandez-Cuesta, L.; Bosco, G.; et al. Comprehensive genomic profiles of small cell lung cancer. Nature 2015, 524, 47–53. [Google Scholar] [CrossRef]
  29. Chen, H.Z.; Tsai, S.Y.; Leone, G. Emerging roles of E2Fs in cancer: An exit from cell cycle control. Nat. Rev. Cancer 2009, 9, 785–797. [Google Scholar] [CrossRef] [Green Version]
  30. Drivsholm, L.; Paloheimo, L.I.; Osterlind, K. Chromogranin A, a significant prognostic factor in small cell lung cancer. Br. J. Cancer 1999, 81, 667–671. [Google Scholar] [CrossRef] [Green Version]
  31. Kontogianni, K.; Nicholson, A.G.; Butcher, D.; Sheppard, M.N. CD56: A useful tool for the diagnosis of small cell lung carcinomas on biopsies with extensive crush artefact. J. Clin. Pathol. 2005, 58, 978–980. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Taneja, T.K.; Sharma, S.K. Markers of small cell lung cancer. World J. Surg. Oncol. 2004, 2, 10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Owen, D.H.; Giffin, M.J.; Bailis, J.M.; Smit, M.D.; Carbone, D.P.; He, K. DLL3: An emerging target in small cell lung cancer. J. Hematol. Oncol. 2019, 12, 61. [Google Scholar] [CrossRef] [PubMed]
  34. Saunders, L.R.; Bankovich, A.J.; Anderson, W.C.; Aujay, M.A.; Bheddah, S.; Black, K.; Desai, R.; Escarpe, P.A.; Hampl, J.; Laysang, A.; et al. A DLL3-targeted antibody-drug conjugate eradicates high-grade pulmonary neuroendocrine tumor-initiating cells in vivo. Sci. Transl. Med. 2015, 7, 302ra136. [Google Scholar] [CrossRef] [Green Version]
  35. Johnston, P.G.; Lenz, H.J.; Leichman, C.G.; Danenberg, K.D.; Allegra, C.J.; Danenberg, P.V.; Leichman, L. Thymidylate synthase gene and protein expression correlate and are associated with response to 5-fluorouracil in human colorectal and gastric tumors. Cancer Res. 1995, 55, 1407–1412. [Google Scholar]
  36. Peters, G.J.; Backus, H.H.; Freemantle, S.; van Triest, B.; Codacci-Pisanelli, G.; van der Wilt, C.L.; Smid, K.; Lunec, J.; Calvert, A.H.; Marsh, S.; et al. Induction of thymidylate synthase as a 5-fluorouracil resistance mechanism. Biochim. Biophys. Acta 2002, 1587, 194–205. [Google Scholar] [CrossRef] [Green Version]
  37. Semenova, E.A.; Nagel, R.; Berns, A. Origins, genetic landscape, and emerging therapies of small cell lung cancer. Genes Dev. 2015, 29, 1447–1462. [Google Scholar] [CrossRef] [Green Version]
  38. Poppy Roworth, A.; Ghari, F.; La Thangue, N.B. To live or let die—Complexity within the E2F1 pathway. Mol. Cell. Oncol. 2015, 2, e970480. [Google Scholar] [CrossRef]
  39. Engelmann, D.; Putzer, B.M. The dark side of E2F1: In transit beyond apoptosis. Cancer Res. 2012, 72, 571–575. [Google Scholar] [CrossRef] [Green Version]
  40. McNair, C.; Xu, K.; Mandigo, A.C.; Benelli, M.; Leiby, B.; Rodrigues, D.; Lindberg, J.; Gronberg, H.; Crespo, M.; De Laere, B.; et al. Differential impact of RB status on E2F1 reprogramming in human cancer. J. Clin. Investig. 2018, 128, 341–358. [Google Scholar] [CrossRef] [Green Version]
  41. Wang, T.; Chen, X.; Qiao, W.; Kong, L.; Sun, D.; Li, Z. Transcription factor E2F1 promotes EMT by regulating ZEB2 in small cell lung cancer. BMC Cancer 2017, 17, 719. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Li, Z.; Guo, Y.; Jiang, H.; Zhang, T.; Jin, C.; Young, C.Y.; Yuan, H. Differential regulation of MMPs by E2F1, Sp1 and NF-kappa B controls the small cell lung cancer invasive phenotype. BMC Cancer 2014, 14, 276. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Mannava, S.; Grachtchouk, V.; Wheeler, L.J.; Im, M.; Zhuang, D.; Slavina, E.G.; Mathews, C.K.; Shewach, D.S.; Nikiforov, M.A. Direct role of nucleotide metabolism in C-MYC-dependent proliferation of melanoma cells. Cell Cycle 2008, 7, 2392–2400. [Google Scholar] [CrossRef] [PubMed]
  44. Mollaoglu, G.; Guthrie, M.R.; Bohm, S.; Bragelmann, J.; Can, I.; Ballieu, P.M.; Marx, A.; George, J.; Heinen, C.; Chalishazar, M.D.; et al. MYC Drives Progression of Small Cell Lung Cancer to a Variant Neuroendocrine Subtype with Vulnerability to Aurora Kinase Inhibition. Cancer Cell 2017, 31, 270–285. [Google Scholar] [CrossRef] [Green Version]
  45. Nau, M.M.; Brooks, B.J., Jr.; Carney, D.N.; Gazdar, A.F.; Battey, J.F.; Sausville, E.A.; Minna, J.D. Human small-cell lung cancers show amplification and expression of the N-myc gene. Proc. Natl. Acad. Sci. USA 1986, 83, 1092–1096. [Google Scholar] [CrossRef] [Green Version]
  46. Funa, K.; Steinholtz, L.; Nou, E.; Bergh, J. Increased expression of N-myc in human small cell lung cancer biopsies predicts lack of response to chemotherapy and poor prognosis. Am. J. Clin. Pathol. 1987, 88, 216–220. [Google Scholar] [CrossRef]
  47. Vadie, N.; Saayman, S.; Lenox, A.; Ackley, A.; Clemson, M.; Burdach, J.; Hart, J.; Vogt, P.K.; Morris, K.V. MYCNOS functions as an antisense RNA regulating MYCN. RNA Biol. 2015, 12, 893–899. [Google Scholar] [CrossRef] [Green Version]
  48. Yoshida, G.J. Applications of patient-derived tumor xenograft models and tumor organoids. J. Hematol. Oncol. 2020, 13, 4. [Google Scholar] [CrossRef]
  49. Byers, L.A.; Wang, J.; Nilsson, M.B.; Fujimoto, J.; Saintigny, P.; Yordy, J.; Giri, U.; Peyton, M.; Fan, Y.H.; Diao, L.; et al. Proteomic profiling identifies dysregulated pathways in small cell lung cancer and novel therapeutic targets including PARP1. Cancer Discov. 2012, 2, 798–811. [Google Scholar] [CrossRef] [Green Version]
  50. Aimiuwu, J.; Wang, H.; Chen, P.; Xie, Z.; Wang, J.; Liu, S.; Klisovic, R.; Mims, A.; Blum, W.; Marcucci, G.; et al. RNA-dependent inhibition of ribonucleotide reductase is a major pathway for 5-azacytidine activity in acute myeloid leukemia. Blood 2012, 119, 5229–5238. [Google Scholar] [CrossRef]
  51. Cook, G.J.; Caudell, D.L.; Elford, H.L.; Pardee, T.S. The efficacy of the ribonucleotide reductase inhibitor Didox in preclinical models of AML. PLoS ONE 2014, 9, e112619. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Komori, S.; Osada, S.; Mori, R.; Matsui, S.; Sanada, Y.; Tomita, H.; Tokuyama, Y.; Takahashi, T.; Yamaguchi, K.; Yoshida, K. Contribution of thymidylate synthase to gemcitabine therapy for advanced pancreatic cancer. Pancreas 2010, 39, 1284–1292. [Google Scholar] [CrossRef] [PubMed]
  53. Noordhuis, P.; Holwerda, U.; Van der Wilt, C.L.; Van Groeningen, C.J.; Smid, K.; Meijer, S.; Pinedo, H.M.; Peters, G.J. 5-Fluorouracil incorporation into RNA and DNA in relation to thymidylate synthase inhibition of human colorectal cancers. Ann. Oncol. 2004, 15, 1025–1032. [Google Scholar] [CrossRef] [PubMed]
  54. Pardee, T.S.; Stadelman, K.; Jennings-Gee, J.; Caudell, D.L.; Gmeiner, W.H. The poison oligonucleotide F10 is highly effective against acute lymphoblastic leukemia while sparing normal hematopoietic cells. Oncotarget 2014, 5, 4170–4179. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Gmeiner, W.H.; Lema-Tome, C.; Gibo, D.; Jennings-Gee, J.; Milligan, C.; Debinski, W. Selective anti-tumor activity of the novel fluoropyrimidine polymer F10 towards G48a orthotopic GBM tumors. J. Neurooncol. 2014, 116, 447–454. [Google Scholar] [CrossRef] [Green Version]
  56. Gmeiner, W.H.; Reinhold, W.C.; Pommier, Y. Genome-wide mRNA and microRNA profiling of the NCI 60 cell-line screen and comparison of FdUMP[10] with fluorouracil, floxuridine, and topoisomerase 1 poisons. Mol. Cancer Ther. 2010, 9, 3105–3114. [Google Scholar] [CrossRef] [Green Version]
  57. Gmeiner, W.H.; Gearhart, P.J.; Pommier, Y.; Nakamura, J. F10 cytotoxicity via topoisomerase I cleavage complex repair consistent with a unique mechanism for thymineless death. Future Oncol. 2016, 12, 2183–2188. [Google Scholar] [CrossRef] [Green Version]
  58. Gmeiner, W.H. Entrapment of DNA topoisomerase-DNA complexes by nucleotide/nucleoside analogs. Cancer Drug Resist. 2019, 2, 994–1001. [Google Scholar] [CrossRef] [Green Version]
  59. Huang, S.Y.; Murai, J.; Dalla Rosa, I.; Dexheimer, T.S.; Naumova, A.; Gmeiner, W.H.; Pommier, Y. TDP1 repairs nuclear and mitochondrial DNA damage induced by chain-terminating anticancer and antiviral nucleoside analogs. Nucleic Acids Res. 2013, 41, 7793–7803. [Google Scholar] [CrossRef] [Green Version]
  60. Gmeiner, W.H.; Dominijanni, A.; Caudell, D.; D’Agostino, R., Jr.; Smith, T.L.; Deng, Z.; Mani, C.; Palle, K.; Haber, A.; Brody, J. Efficacy of the fluoropyrimidine polymer CF10 in colorectal cancer thru increased replication stress. 2020. In preparation. [Google Scholar]
  61. Pritchard, D.M.; Watson, A.J.; Potten, C.S.; Jackman, A.L.; Hickman, J.A. Inhibition by uridine but not thymidine of p53-dependent intestinal apoptosis initiated by 5-fluorouracil: Evidence for the involvement of RNA perturbation. Proc. Natl. Acad. Sci. USA 1997, 94, 1795–1799. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Ma, W.W.; Saif, M.W.; El-Rayes, B.F.; Fakih, M.G.; Cartwright, T.H.; Posey, J.A.; King, T.R.; von Borstel, R.W.; Bamat, M.K. Emergency use of uridine triacetate for the prevention and treatment of life-threatening 5-fluorouracil and capecitabine toxicity. Cancer 2017, 123, 345–356. [Google Scholar] [CrossRef] [PubMed]
  63. Bellinger, C.R.; Chatterjee, A.B.; Chin, R., Jr.; Conforti, J.; Adair, N.; Haponik, E. Conventional and endobronchial ultrasound-guided transbronchial needle aspiration: Complementary procedures. South Med. J. 2012, 105, 625–629. [Google Scholar] [CrossRef] [PubMed]
  64. Forsythe, S.; Mehta, N.; Devarasetty, M.; Sivakumar, H.; Gmeiner, W.; Soker, S.; Votanopoulos, K.; Skardal, A. Development of a Colorectal Cancer 3D Micro-tumor Construct Platform From Cell Lines and Patient Tumor Biospecimens for Standard-of-Care and Experimental Drug Screening. Ann. Biomed. Eng. 2019, 48, 940–952. [Google Scholar] [CrossRef]
  65. Bolger, A.M.; Lohse, M.; Usadel, B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 2014, 30, 2114–2120. [Google Scholar] [CrossRef] [Green Version]
  66. Dobin, A.; Davis, C.A.; Schlesinger, F.; Drenkow, J.; Zaleski, C.; Jha, S.; Batut, P.; Chaisson, M.; Gingeras, T.R. STAR: Ultrafast universal RNA-seq aligner. Bioinformatics 2013, 29, 15–21. [Google Scholar] [CrossRef]
  67. Liao, Y.; Smyth, G.K.; Shi, W. featureCounts: An efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 2014, 30, 923–930. [Google Scholar] [CrossRef] [Green Version]
  68. Love, M.I.; Huber, W.; Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014, 15, 550. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Small cell lung cancer (SCLC) samples displayed elevated expression of genes characteristically expressed at elevated levels in SCLC including NCAM1, SYP, CHGA, and DLL3 (displayed data are summarized in Supplementary Table S2).
Figure 1. Small cell lung cancer (SCLC) samples displayed elevated expression of genes characteristically expressed at elevated levels in SCLC including NCAM1, SYP, CHGA, and DLL3 (displayed data are summarized in Supplementary Table S2).
Cancers 12 00788 g001
Figure 2. Volcano plot depicting genes important for nucleotide metabolism and pyrimidine biosynthesis that display significantly altered expression in SCLC (blue) relative to non-malignant airway epithelial tissue (pink). Several genes encoding proteins important for de novo Thy biosynthesis are significantly upregulated in SCLC including TYMS and RRM2.
Figure 2. Volcano plot depicting genes important for nucleotide metabolism and pyrimidine biosynthesis that display significantly altered expression in SCLC (blue) relative to non-malignant airway epithelial tissue (pink). Several genes encoding proteins important for de novo Thy biosynthesis are significantly upregulated in SCLC including TYMS and RRM2.
Cancers 12 00788 g002
Figure 3. Volcano plot depicting genes involved in cell-cycle regulation. E2F1-3 are transcription factors implicated in upregulating genes important for cell-cycle progression including TYMS and RRM2 and are significantly upregulated in SCLC. In the absence of Rb, E2F-family is involved in upregulating genes important for invasion and metastasis including ZEB1 and MMPs, including MMP-11, -16, -26.
Figure 3. Volcano plot depicting genes involved in cell-cycle regulation. E2F1-3 are transcription factors implicated in upregulating genes important for cell-cycle progression including TYMS and RRM2 and are significantly upregulated in SCLC. In the absence of Rb, E2F-family is involved in upregulating genes important for invasion and metastasis including ZEB1 and MMPs, including MMP-11, -16, -26.
Cancers 12 00788 g003
Figure 4. Volcano plot depicting changes in Myc-family expression in SCLC. Only MYCN was significantly upregulated and MYCNOS was highly expressed. MYCN is highly expressed in neuroendocrine sub-type of SCLC consistent with our samples collectively being representative of this sub-type.
Figure 4. Volcano plot depicting changes in Myc-family expression in SCLC. Only MYCN was significantly upregulated and MYCNOS was highly expressed. MYCN is highly expressed in neuroendocrine sub-type of SCLC consistent with our samples collectively being representative of this sub-type.
Cancers 12 00788 g004
Figure 5. The second-generation polymeric fluoropyrimidine CF10 displays improved potency relative to conventional drugs in SCLC patient-derived organoids (PDOs). (A) Dose-response curves for CF10 (blue), cisplatin (red), and 5-FU (black) in SCLC PDOs. PDOs were developed from PDX tumors generated from four different SCLC patient biopsy samples. Aggregate data are shown in Figure S4. Aggregate IC50 values: CF10 14.82 μM; Cisplatin 120.7 μM; 5-FU 381.3 μM. CF10 vs. 5-FU: p < 0.0001; CF10 vs. cisplatin: p < 0.0026. (B) CD56 staining for SCLC clinical sample (left; 400×), PDX (middle; 400×), and PDO (right; 600×).
Figure 5. The second-generation polymeric fluoropyrimidine CF10 displays improved potency relative to conventional drugs in SCLC patient-derived organoids (PDOs). (A) Dose-response curves for CF10 (blue), cisplatin (red), and 5-FU (black) in SCLC PDOs. PDOs were developed from PDX tumors generated from four different SCLC patient biopsy samples. Aggregate data are shown in Figure S4. Aggregate IC50 values: CF10 14.82 μM; Cisplatin 120.7 μM; 5-FU 381.3 μM. CF10 vs. 5-FU: p < 0.0001; CF10 vs. cisplatin: p < 0.0026. (B) CD56 staining for SCLC clinical sample (left; 400×), PDX (middle; 400×), and PDO (right; 600×).
Cancers 12 00788 g005

Share and Cite

MDPI and ACS Style

Gmeiner, W.H.; Miller, L.D.; Chou, J.W.; Dominijanni, A.; Mutkus, L.; Marini, F.; Ruiz, J.; Dotson, T.; Thomas, K.W.; Parks, G.; et al. Dysregulated Pyrimidine Biosynthesis Contributes to 5-FU Resistance in SCLC Patient-Derived Organoids but Response to a Novel Polymeric Fluoropyrimidine, CF10. Cancers 2020, 12, 788. https://doi.org/10.3390/cancers12040788

AMA Style

Gmeiner WH, Miller LD, Chou JW, Dominijanni A, Mutkus L, Marini F, Ruiz J, Dotson T, Thomas KW, Parks G, et al. Dysregulated Pyrimidine Biosynthesis Contributes to 5-FU Resistance in SCLC Patient-Derived Organoids but Response to a Novel Polymeric Fluoropyrimidine, CF10. Cancers. 2020; 12(4):788. https://doi.org/10.3390/cancers12040788

Chicago/Turabian Style

Gmeiner, William H., Lance D. Miller, Jeff W. Chou, Anthony Dominijanni, Lysette Mutkus, Frank Marini, Jimmy Ruiz, Travis Dotson, Karl W. Thomas, Graham Parks, and et al. 2020. "Dysregulated Pyrimidine Biosynthesis Contributes to 5-FU Resistance in SCLC Patient-Derived Organoids but Response to a Novel Polymeric Fluoropyrimidine, CF10" Cancers 12, no. 4: 788. https://doi.org/10.3390/cancers12040788

APA Style

Gmeiner, W. H., Miller, L. D., Chou, J. W., Dominijanni, A., Mutkus, L., Marini, F., Ruiz, J., Dotson, T., Thomas, K. W., Parks, G., & Bellinger, C. R. (2020). Dysregulated Pyrimidine Biosynthesis Contributes to 5-FU Resistance in SCLC Patient-Derived Organoids but Response to a Novel Polymeric Fluoropyrimidine, CF10. Cancers, 12(4), 788. https://doi.org/10.3390/cancers12040788

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