Cell Lung Cancer Patient-derived Xenograft Research Articles

Representation of genomic intratumor heterogeneity in multi-region non-small cell lung cancer patient-derived xenograft models

Patient-derived xenograft (PDX) models are widely used in cancer research. To investigate the genomic fidelity of non-small cell lung cancer PDX models, we established 48 PDX models from 22 patients enrolled in the TRACERx study. Multi-region tumor sampling increased successful PDX engraftment and most models were histologically similar to their parent tumor. Whole-exome sequencing enabled comparison of tumors and PDX models and we provide an adapted mouse reference genome for improved removal of NOD scid gamma (NSG) mouse-derived reads from sequencing data. PDX model establishment caused a genomic bottleneck, with models often representing a single tumor subclone. While distinct tumor subclones were represented in independent models from the same tumor, individual PDX models did not fully recapitulate intratumor heterogeneity. On-going genomic evolution in mice contributed modestly to the genomic distance between tumors and PDX models. Our study highlights the importance of considering primary tumor heterogeneity when using PDX models and emphasizes the benefit of comprehensive tumor sampling.

Abstract C115: Preclinical characterization of STRO-002, a clinical-stage anti-FolRα antibody-drug conjugate

Abstract STRO-002 is a novel folate receptor alpha (FolRα)-targeting antibody-drug conjugate (ADC) currently undergoing evaluation in clinical trials at various phases of development in ovarian and endometrial cancer and pediatric AML. Here, we describe the favorable properties of the STRO-002 ADC and summarize its activity in preclinical models. STRO-002 is an ADC composed of an anti-FolRα antibody conjugated to four tubulin-targeting hemiasterlin warheads. Incorporation of non-natural amino acids, using Sutro’s XpressCF® and XpressCF+® cell-free expression and conjugation systems, allows for site-specific conjugation of the hemiasterlin payload, yielding a homogenous and high-fidelity ADC. As an ADC, STRO-002 internalizes rapidly into FolRα+ tumor cells and exhibits potent target-dependent cell killing on xenograft tumor cell lines. Further characterization of STRO-002 and the hemiasterlin payload reveals significant ADC bystander activity and a lower sensitivity to drug efflux via the P-gp drug pump compared to other microtubule-targeting warheads. In addition to robust direct and bystander cell killing, STRO-002 is also capable of triggering immunogenic cell death (ICD). In in vitro cell killing assays, STRO-002 induces all three hallmarks of ICD—HMGB1 and ATP release and surface exposure of calreticulin—and in in vivo vaccination studies, injection of STRO-002-killed tumor cells was effective at establishing a protective immune response against subsequent tumor challenge, identifying STRO-002 as a bonafide ICD inducer.In vivo, STRO-002 treatment demonstrates robust efficacy in ovarian xenograft models, even when treatment is initiated in large, established tumors. In addition, combination therapy with STRO-002 and carboplatin, anti-VEGF, or anti-PD-L1 results in greater efficacy than treatment with single agents alone, demonstrating combination benefit with current standard-of-care therapies. To better understand the activity of STRO-002 in more-translatable preclinical models, we turned to patient-derived xenografts (PDX) and found that STRO-002 exhibits good anti-tumor activity in endometrial cancer and non-small cell lung cancer PDX studies, suggesting potential clinical benefit in these indications. In conclusion, STRO-002 exhibits multiple advantageous properties as an ADC and shows good anti-tumor activity, either in combination or as a single agent, in both cell-derived xenograft and PDX models. Citation Format: Robert Yuan, Andrew McGeehan, Sihong Zhou, Jennifer Smith, Dayson Moreira, Krishna Bajjuri, Cuong Tran, Gang Yin, Alice Yam, Helena Kiefel, Xiaofan Li. Preclinical characterization of STRO-002, a clinical-stage anti-FolRα antibody-drug conjugate [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr C115.

Abstract 6690: Monitoring response and resistance to EGFR inhibition with circulating tumor DNA in a non-small cell lung cancer patient-derived xenograft

Abstract Circulating tumor DNA (ctDNA) has been shown as a clinically relevant biomarker for non-invasive monitoring of therapy response, disease burden and disease progression in cancer patients. Patient-derived xenografts (PDX) are essential translational models used for evaluating therapeutic response and identifying novel biomarkers, but analysis of ctDNA in these models remains understudied. Here, we report the use of ctDNA for the monitoring of therapeutic response and secondary resistance of a Non-Small Cell Lung Cancer PDX treated with EGFR inhibitors. We demonstrate measurable ctDNA changes correlate with disease burden and therapeutic response. Altogether, the isolation of ctDNA from PDX models is a robust methodology for interrogating therapeutic efficacy, response, and resistance in a preclinical setting that can be translated as a viable biomarker for non-invasive monitoring in patients. Citation Format: Long H. Do, Raffaella Pippa, Warren Andrews, Yuan Chien, Jantzen Sperry, Jonathan Nakashima. Monitoring response and resistance to EGFR inhibition with circulating tumor DNA in a non-small cell lung cancer patient-derived xenograft. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6690.

163P Integrative analysis of small cell lung cancer patient-derived xenograft models reveals subtype-specific pathway alterations and therapeutic targets

163P Integrative analysis of small cell lung cancer patient-derived xenograft models reveals subtype-specific pathway alterations and therapeutic targets

Metabolic classification of non-small cell lung cancer patient-derived xenografts by a digital pathology approach: A pilot study.

Genetically characterized patient-derived tumor xenografts (PDX) are a valuable resource to understand the biological complexity of cancer and to investigate new therapeutic approaches. Previous studies, however, lack information about metabolic features of PDXs, which may limit testing of metabolism targeting drugs. In this pilot study, we investigated by immunohistochemistry (IHC) expression of five essential metabolism-associated markers in a set of lung adenocarcinoma PDX samples previously established and characterized. We exploited digital pathology to quantify expression of the markers and correlated results with tumor cell proliferation, angiogenesis and time of PDX growth in mice. Our results indicate that the majority of the analyzed PDX models rely on oxidative phosphorylation (OXPHOS) metabolism, either alone or in combination with glucose metabolism. Double IHC enabled us to describe spatial expression of the glycolysis-associated monocarboxylate transporter 4 (MCT4) marker and the OXPHOS-associated glutaminase (GLS) marker. GLS expression was associated with cell proliferation and with expression of liver-kinase B1 (LKB1), a tumor suppressor involved in the regulation of multiple metabolic pathways. Acetyl CoA carboxylase (ACC) was associated with the kinetics of PDX growth. Albeit limited by the small number of samples and markers analyzed, metabolic classification of existing collections of PDX by this mini panel will be useful to inform pre-clinical testing of metabolism-targeting drugs.

Genomic and transcriptomic analysis of a library of small cell lung cancer patient-derived xenografts

Access to clinically relevant small cell lung cancer (SCLC) tissue is limited because surgical resection is rare in metastatic SCLC. Patient-derived xenografts (PDX) and circulating tumor cell-derived xenografts (CDX) have emerged as valuable tools to characterize SCLC. Here, we present a resource of 46 extensively annotated PDX/CDX models derived from 33 patients with SCLC. We perform multi-omic analyses, using targeted tumor next-generation sequencing, RNA-sequencing, and immunohistochemistry to deconvolute the mutational landscapes, global expression profiles, and molecular subtypes of these SCLC models. SCLC subtypes characterized by transcriptional regulators, ASCL1, NEUROD1 and POU2F3 are confirmed in this cohort. A subset of SCLC clinical specimens, including matched PDX/CDX and clinical specimen pairs, confirm that the primary features and genomic and proteomic landscapes of the tumors of origin are preserved in the derivative PDX models. This resource provides a powerful system to study SCLC biology.

Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies distinct proteotypes associated with patient outcomes

Non-small cell lung cancer (NSCLC) is the leading cause of cancer deaths worldwide. Only a fraction of NSCLC harbor actionable driver mutations and there is an urgent need for patient-derived model systems that will enable the development of new targeted therapies. NSCLC and other cancers display profound proteome remodeling compared to normal tissue that is not predicted by DNA or RNA analyses. Here, we generate 137 NSCLC patient-derived xenografts (PDXs) that recapitulate the histology and molecular features of primary NSCLC. Proteome analysis of the PDX models reveals 3 adenocarcinoma and 2 squamous cell carcinoma proteotypes that are associated with different patient outcomes, protein-phosphotyrosine profiles, signatures of activated pathways and candidate targets, and in adenocarcinoma, stromal immune features. These findings portend proteome-based NSCLC classification and treatment and support the PDX resource as a viable model for the development of new targeted therapies.

Immune cell infiltration pattern in non-small cell lung cancer PDX models is a model immanent feature and correlates with a distinct molecular and phenotypic make-up

BackgroundThe field of cancer immunology is rapidly moving towards innovative therapeutic strategies, resulting in the need for robust and predictive preclinical platforms reflecting the immunological response to cancer. Well characterized...

Zebrafish patient-derived xenograft models predict lymph node involvement and treatment outcome in non-small cell lung cancer

BackgroundAccurate predictions of tumor dissemination risks and medical treatment outcomes are critical to personalize therapy. Patient-derived xenograft (PDX) models in mice have demonstrated high accuracy in predicting therapeutic outcomes, but methods for predicting tumor invasiveness and early stages of vascular/lymphatic dissemination are still lacking. Here we show that a zebrafish tumor xenograft (ZTX) platform based on implantation of PDX tissue fragments recapitulate both treatment outcome and tumor invasiveness/dissemination in patients, within an assay time of only 3 days.MethodsUsing a panel of 39 non-small cell lung cancer PDX models, we developed a combined mouse-zebrafish PDX platform based on direct implantation of cryopreserved PDX tissue fragments into zebrafish embryos, without the need for pre-culturing or expansion. Clinical proof-of-principle was established by direct implantation of tumor samples from four patients.ResultsThe resulting ZTX models responded to Erlotinib and Paclitaxel, with similar potency as in mouse-PDX models and the patients themselves, and resistant tumors similarly failed to respond to these drugs in the ZTX system. Drug response was coupled to elevated expression of EGFR, Mdm2, Ptch1 and Tsc1 (Erlotinib), or Nras and Ptch1 (Paclitaxel) and reduced expression of Egfr, Erbb2 and Foxa (Paclitaxel). Importantly, ZTX models retained the invasive phenotypes of the tumors and predicted lymph node involvement of the patients with 91% sensitivity and 62% specificity, which was superior to clinically used tests. The biopsies from all four patient tested implanted successfully, and treatment outcome and dissemination were quantified for all patients in only 3 days.ConclusionsWe conclude that the ZTX platform provide a fast, accurate, and clinically relevant system for evaluation of treatment outcome and invasion/dissemination of PDX models, providing an attractive platform for combined mouse-zebrafish PDX trials and personalized medicine.

Generation of Non-Small Cell Lung Cancer Patient-Derived Xenografts to Study Intratumor Heterogeneity.

Simple SummaryIt is widely thought that tumors are composed of different subpopulations of cancer cells carrying genetic alterations with some of them being common among all cells while others are unique for each subpopulation. This variable genetic profile of tumor cells is a component of what is collectively described as intratumor heterogeneity (ITH). Surviving the immune system and therapies, and establishing metastases are forces of natural selection that act upon ITH and drive tumor evolution and, eventually, the clinical presentation of patients. The aim of this prospective study was to investigate ITH in early-stage operable non-small cell lung cancer. We directly grafted human tumors in immunosuppressed mice and compared the genetic profile of the tumors grown in mice with that of the original human tumors. We identified clinical factors that affected the ability of human tumors to grow as mouse xenografts.Recent advances in sequencing technologies have allowed the in-depth molecular study of tumors, even at the single cell level. Sequencing efforts have uncovered a previously unappreciated heterogeneity among tumor cells, which has been postulated to be the driving force of tumor evolution and to facilitate recurrence, metastasis, and drug resistance. In the current study, focused on early-stage operable non-small cell lung cancer, we used tumor growth in patient-derived xenograft (PDX) models in mice as a fast-forward tumor evolution process to investigate the molecular characteristics of tumor cells that grow in mice, as well as the parameters that affect the grafting efficiency. We found that squamous cell carcinomas grafted significantly more efficiently compared with adenocarcinomas. Advanced stage, patient age and primary tumor size were positively correlated with grafting. Additionally, we isolated and characterized circulating tumor cells (CTC) from patients’ peripheral blood and found that the presence of CTCs expressing epithelial-to-mesenchymal (EMT) markers correlated with the grafting potential. Interestingly, exome sequencing of the PDX tumor identified genetic alterations in DNA repair and genome integrity genes that were under-represented in the human primary counterpart. In conclusion, through the generation of a PDX biobank of NSCLC, we identified the clinical and molecular properties of tumors that affected growth in mice.

An Fc-free EGFR-specific 4-1BB-agonistic Trimerbody Displays Broad Antitumor Activity in Humanized Murine Cancer Models without Toxicity.

The induction of 4-1BB signaling by agonistic antibodies can drive the activation and proliferation of effector T cells and thereby enhance a T-cell-mediated antitumor response. Systemic administration of anti-4-1BB-agonistic IgGs, although effective preclinically, has not advanced in clinical development due to their severe hepatotoxicity. Here, we generated a humanized EGFR-specific 4-1BB-agonistic trimerbody, which replaces the IgG Fc region with a human collagen homotrimerization domain. It was characterized by structural analysis and in vitro functional studies. We also assessed pharmacokinetics, antitumor efficacy, and toxicity in vivo. In the presence of a T-cell receptor signal, the trimerbody provided potent T-cell costimulation that was strictly dependent on 4-1BB hyperclustering at the point of contact with a tumor antigen-displaying cell surface. It exhibits significant antitumor activity in vivo, without hepatotoxicity, in a wide range of human tumors including colorectal and breast cancer cell-derived xenografts, and non-small cell lung cancer patient-derived xenografts associated with increased tumor-infiltrating CD8+ T cells. The combination of the trimerbody with a PD-L1 blocker led to increased IFNγ secretion in vitro and resulted in tumor regression in humanized mice bearing aggressive triple-negative breast cancer. These results demonstrate the nontoxic broad antitumor activity of humanized Fc-free tumor-specific 4-1BB-agonistic trimerbodies and their synergy with checkpoint blockers, which may provide a way to elicit responses in most patients with cancer while avoiding Fc-mediated adverse reactions.

Single bioengineered ncRNA molecule for dual-targeting toward the control of non-small cell lung cancer patient-derived xenograft tumor growth

Lung cancer remains the leading cause of cancer deaths worldwide and accounts for more than 22% of all cancer-related deaths in the US. Developing new therapies is essential to combat against deadly lung cancer, especially the most common type, non-small cell lung cancer (NSCLC). With the discovery of genome-derived functional small noncoding RNA (ncRNA), namely microRNAs (miRNA or miR), restoration of oncolytic miRNAs lost or downregulated in NSCLC cells represents a new therapeutic strategy. Very recently, we have developed a novel technology that achieves in vivo fermentation production of bioengineered miRNA agents (BERA) for research and development. In this study, we aimed at simultaneously introducing two miRNAs into NSCLC cells by using single recombinant “combinatorial BERA” (CO-BERA) molecule. Our studies show that single CO-BERA molecule (e.g., let-7c/miR-124) was successfully processed to two miRNAs (e.g., let-7c-5p and miR-124-3p) to combinatorially regulate the expression of multiple targets (e.g., RAS, VAMP3 and CDK6) in human NSCLC cells, exhibiting greater efficacy than respective BERA miRNAs in the inhibition of cell viability and colony formation. Furthermore, we demonstrate that CO-BERA let-7c/miR-124-loaded lipopolyplex nanomedicine was the most effective among tested RNAs in the control of tumor growth in NSCLC patient-derived xenograft mouse models. The anti-tumor activity of CO-BERA let-7c/miR-124 was associated with the suppression of RAS and CDK6 expression, and enhancement of apoptosis. These results support the concept to use single ncRNA agent for dual-targeting and offer insight into developing new RNA therapeutics for the treatment of lethal NSCLC.

Abstract LB-121: The novel ATR inhibitor M4344 and CHK1 inhibitor SRA737 overcome chemoresistance in SLFN11-negative cells in combination treatment with DNA-damaging agents

Abstract Precision medicine is an unmet need for DNA-damaging agents with potentially severe side effects. Loss of Schlafen 11 (SLFN11) expression is frequently detected in ~50% cancer cell lines of the NCI, the Broad Institute cancer cell line panel (CCLE), and the Genomics of Drug Sensitivity in Cancer project (GDSC). Deficiency of SLFN11 expression causes chemoresistance to a broad range of DNA-damaging agents, including topoisomerase I (TOP1) inhibitors, topoisomerase II (TOP2) inhibitors, alkylating agents, DNA synthesis inhibitors and PARP inhibitors. Moreover, gene silencing of SLFN11 is observed in small cell lung cancer patient-derived xenograft models with acquired drug resistance. To identify synthetic lethal therapeutic targets to overcome chemoresistance in SLFN11 deficient cells, we performed a genome-wide RNAi screen with the human druggable genome siRNA library by using camptothecin (CPT), a TOP1 inhibitor, in SLFN11 wild-type (WT) and knock-out (KO) prostate cancer DU145 cells. Gene Ontology analysis identified the inhibition of ATR-mediated DNA repair pathway genes (ATR, CHK1, BRCA2 and RPA1) is synergistic with CPT in SLFN11 KO cells, whereas inhibition of the RNA metabolism-related genes (POLR2, PSMD3, POLR2F and PSMD11) had higher combination effects in SLFN11 WT cells. The synergistic effects by depletion of ATR-mediated DNA repair pathway in SLFN11 KO cells were validated by additional siRNAs-mediated cell viability assays. To determine whether inhibition of ATR-mediated pathway can be applied clinically, we tested the new clinical ATR (M4344) and CHK1 (SRA737) inhibitors. Treatment with non-toxic-doses of M4344 and SRA737 reversed drug resistance of the SLFN11 KO cells to TOP1 inhibitors [CPT, and clinically used topotecan and LMP400 (indotecan)]. Additionally, the same synergistic effects by combination of the ATR/CHK1inhibitors and CPT were detected in isogenic CCRF-CEM SLFN11 WT and KO leukemic lymphoblasts cells and non-isogenic DMS114 and H446 small cell lung cancer cells. We also confirmed synergy with ATR/CHK1 inhibitors in combination of other clinical DNA-damaging agents (TOP2 inhibitor: etoposide, alkylating agent: cisplatin, and PARP inhibitor: talazoparib). Molecular changes induced by the combination treatment were examined in the cell cycle by assessing DAPI and EdU incorporation, cell death with Annexin V, and DNA damage response by confocal microscopy with M4344 and CPT. Co-treatment with ATR inhibitor and CPT resulted in G2/M arrest and apoptotic cell death, and formation of micronuclei and fragmented nuclei in SLFN11 KO cells, compared with SLFN11 WT cells. Collectively, our results provide a new therapeutic rationale for the clinical development of combination treatments of chemotherapeutic DNA-targeted agents with ATR/CHK1 inhibitors based on SLFN11 status. Citation Format: Ukhyun Jo, Yasuhisa Murai, Junko Murai, Shar-yin N Huang, Sirisha Chakka, Lu Chen, Ken Cheng, Yves Pommier. The novel ATR inhibitor M4344 and CHK1 inhibitor SRA737 overcome chemoresistance in SLFN11-negative cells in combination treatment with DNA-damaging agents [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr LB-121.

MS32.02 Patient Derived Models (PDX and CTC-Derived)

Patient-derived xenograft (PDX) models are a powerful preclinical tool for studying small cell lung cancer (SCLC) biology and therapeutic vulnerabilities. SCLC PDX models can be generated from biopsies or circulating tumor cells (CTCs), though these approaches can be limited by scarcity of tissue and low efficiency of tumor growth. Applying an established clinical-translational pipeline for tissue collection and an automated microfluidic platform for CTC-enrichment, we have generated over 40 PDX models. In a 24-month period, we initiated 17 biopsy-derived PDXs and 17 CTC-derived PDXs, at 89% and 38% efficiency, respectively (Drapkin et al., Cancer Discovery 2018). Whole exome sequencing showed that somatic alterations are stably maintained between patient tumors and PDXs. Early-passage PDXs maintain the genomic and transcriptional profiles of the founder PDX. We have standardized quantitative measurements of efficacy of in vivo treatments, utilizing both depth of tumor shrinkage (response) and time to tumor volume doubling (time to progression). With these approaches, we have assessed responses to both standard of care and experimental therapies across a large panel of mice. We find that sensitivity to etoposide and platinum (EP) corresponds with the treatment history of patients, and that resistance to EP corresponded to increased expression of a MYC gene signature. Similarly, responses of the PDXs to an experimental combination, olaparib and temozolomide, mirrors the responses seen in patients treated on a clinical trial (Farago et al., ASCO 2018). Biomarker analysis in this panel reveals that basal PARylation is a highly sensitive and specific predictor of response to olaparib and temozolomide. Collectively, this experience highlights the utility of PDX models in SCLC for biomarker discovery and assessment of novel therapeutic strategies. 1. Drapkin BJ, George J, Christensen CL, Mino-Kenudson M, Dries R, Sundaresan T, Phat S, Myers DT, Zong J, Igo P, Hazar-Rethinam MH, Licausi JA, Gomez-Caraballo M, Kem M, Jani KN, Azimi R, Abedpour N, Menon R, Lakis S, Heist RS, Buttner R, Haas S, Sequist LV, Shaw AT, Wong K-K, Hata A, Toner M, Maheswaran S, Haber DA, Peifer M, Dyson N, Thomas RK, Farago AF. Genomic and functional fidelity of small cell lung cancer patient-derived xenografts. Cancer Discovery 2018 May 8(5):600-615. PMID: 29483136 2. Farago AF, Drapkin BJ, Charles A, Yeap B, Heist RS, Azzoli CG, Jackman D, Marcoux P, Barbie D, Myers DT, Phat S, Zhong J, Grinnell JB, Sequist LV, Mino-Kenudson M, Maheswaran S, Haber D, Hata A, Dyson N, Shaw AT. Safety and efficacy of combination olaparib (O) and temozolomide (T) in small cell lung cancer (SCLC). American Society of Clinical Oncology Annual Meeting, June 1-5 2018. Poster presentation

Genomic and Functional Fidelity of Small Cell Lung Cancer Patient-Derived Xenografts.

Small cell lung cancer (SCLC) patient-derived xenografts (PDX) can be generated from biopsies or circulating tumor cells (CTC), though scarcity of tissue and low efficiency of tumor growth have previously limited these approaches. Applying an established clinical-translational pipeline for tissue collection and an automated microfluidic platform for CTC enrichment, we generated 17 biopsy-derived PDXs and 17 CTC-derived PDXs in a 2-year timeframe, at 89% and 38% efficiency, respectively. Whole-exome sequencing showed that somatic alterations are stably maintained between patient tumors and PDXs. Early-passage PDXs maintain the genomic and transcriptional profiles of the founder PDX. In vivo treatment with etoposide and platinum (EP) in 30 PDX models demonstrated greater sensitivity in PDXs from EP-naïve patients, and resistance to EP corresponded to increased expression of a MYC gene signature. Finally, serial CTC-derived PDXs generated from an individual patient at multiple time points accurately recapitulated the evolving drug sensitivities of that patient's disease. Collectively, this work highlights the translational potential of this strategy.Significance: Effective translational research utilizing SCLC PDX models requires both efficient generation of models from patients and fidelity of those models in representing patient tumor characteristics. We present approaches for efficient generation of PDXs from both biopsies and CTCs, and demonstrate that these models capture the mutational landscape and functional features of the donor tumors. Cancer Discov; 8(5); 600-15. ©2018 AACR.This article is highlighted in the In This Issue feature, p. 517.

Highlights from Recent Cancer Literature

Highlights from Recent Cancer Literature

Abstract 3852: Validation of synthetic lethality of PARP and NAMPT dual inhibition in a small cell lung cancer PDX model

Abstract Small cell lung cancer (SCLC) is a highly malignant cancer type with a 5-year survival rate of less than 10%. Different from non-small cell lung cancer (NSCLC), no effective target therapies have been approved to treat SCLC. Poly (ADP) ribose polymerase (PARP) overexpression in SCLC has prompted great efforts to evaluate the role of PARP inhibitors in clinic. To maximize their therapeutic value it is urgent in need to explore the best combination strategies between PARP inhibitors and other pathway modulators. In this study we identified a SCLC patient-derived xenograft (PDX) model with high PARP level and low nicotinamide phosphoribosyltransferase (NAMPT) level. Furthermore, synergistic effect of PARP and NAMPT dual inhibition was demonstrated, supporting translational research of PARP inhibitors and NAMPT inhibitors in this model. The mRNA expression of PARP as well as its 30 most-studied synthetic lethality genes was compared between SCLC and NSCLC in both PDXs and cancer cell lines. We found that NAMPT levels decreased most significantly in SCLC compared with NSCLC across the 30 synthetic lethality genes of PARP. As NAMPT is the rate-limiting enzyme for the synthesis of the PARP substrate β-NAD+, we hypothesized that low β-NAD+ level due to low NAMPT level might render SCLC sensitive to PARP inhibition. LU-01-0547, a SCLC PDX model with high PARP and low NAMPT expression, was identified here. To test our hypothesis, we investigated the preclinical efficacy of ABT888, a PARP inhibitor, with or without FK866, a NAMPT inhibitor, in this subcutaneous xenograft model. The single-agent efficacy of ABT888 was demonstrated (TGI=96%@100 mg/kg, BID). At a sub-optimal dose (50 mg/kg, BID), treatment of ABT888 alone produced little activity in the same model, while its combination with a NAMPT inhibitor, FK866, significantly boosted the antitumor response indicating the synergistic effect (TGI=117%, ORR=6/6, CR=4/6). When nicotinic acid (NA) was administered to promote β-NAD+ biosynthesis via the de novo pathway other than the NAMPT-mediated transformation, the PARP inhibitor’s effectiveness was greatly antagonized (TGI=70% vs. 13%), suggesting β-NAD+ level might correlate with PARP inhibitor sensitivity. In conclusion, this study identified a SCLC PDX model with high PARP and low NAMPT expression. Synergistic inhibition of PARP and NAMPT in this model was demonstrated superior to either treatment alone in efficacy, which warranted its future application in drug discovery. To our knowledge, this was the first in vivo evidence of synthetic lethality in SCLC PDX, supporting future clinical test of combination of PARP and NAMPT inhibitors in SCLC patients. Citation Format: Zhixiang Zhang, Dongfang Li, Chen Chen, Bo Zhang, Xuzhen Tang, Hao Ye, Qingyang Gu, Qunsheng Ji. Validation of synthetic lethality of PARP and NAMPT dual inhibition in a small cell lung cancer PDX model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3852. doi:10.1158/1538-7445.AM2017-3852

395 - Assessment of EGFR-dependent signaling pathway targeting in EGFR-mutated and wild type non-small cell lung cancer patient-derived xenografts

395 - Assessment of EGFR-dependent signaling pathway targeting in EGFR-mutated and wild type non-small cell lung cancer patient-derived xenografts

396 - Assessment of Pi3K and/or MAPK signaling pathway targeting in KRAS- or PIK3CA-mutated and wild type non-small cell lung cancer patient-derived xenografts

396 - Assessment of Pi3K and/or MAPK signaling pathway targeting in KRAS- or PIK3CA-mutated and wild type non-small cell lung cancer patient-derived xenografts

Metabolic Evaluation of Non-Small Cell Lung Cancer Patient-Derived Xenograft Models Using 18F-FDG PET: A Potential Tool for Early Therapy Response.

We performed longitudinal 18F-FDG PET studies on 9 different PDX groups obtained by implanting primary-cancer fragments harvested from patients into mice. The SUVmax of each PDX was calculated and compared with the SUVmax of the corresponding parental tumor. Tumor growth rate and uptake varied among the different PDXs and confirmed the preservation of individual characteristics. The intragroup reproducibility of PET measurements was good. Furthermore, PDXs from tumors with a higher metabolic rate displayed a rank order of uptake similar to that of the parental tumors. PDXs reproduced the glucose metabolism of the parental tumors and therefore represent a promising preclinical model for the early assessment of therapy efficacy.