Small Cell Lung Cancer Tumors Research Articles

P3.06D.13 Patterns of Tissue NGS Alterations are Associated with ctDNA Shedding in Non Small Cell Lung Cancer Tumors Harboring EGFR Mutations

P3.06D.13 Patterns of Tissue NGS Alterations are Associated with ctDNA Shedding in Non Small Cell Lung Cancer Tumors Harboring EGFR Mutations

Metabolic Reprogramming of Phospholipid Fatty Acids as a Signature of Lung Cancer Type.

Background: Lung cancer is one of the leading causes of cancer-related mortality. Non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) differ in aggressiveness, proliferation speed, metastasis propensity, and prognosis. Since tumor cells notably change lipid metabolism, especially phospholipids and fatty acids (FA), this study aimed to identify FA alterations in lung cancer tissues. Methods: Our study included patients with newly diagnosed, histologically confirmed SCLC (n = 27) and NSCLC (n = 37). Samples were collected from both malignant and healthy tissues from each patient, providing they were within subject design. Results: In both NSCLC and SCLC tumor tissues, FA contents were shifted toward pro-inflammatory profiles, with increased levels of some individual n-6 polyunsaturated FA (PUFA), particularly arachidonic acid, and elevated activity of Δ6 desaturase. Compared to healthy counterparts, lower levels of alpha-linolenic acid (18:3n-3) and total saturated FA (SFA) were found in NSCLC, while decreased levels of linoleic acid (18:2n-6) and all individual n-3 FA were found in SCLC tissue in comparison to the healthy tissue control. When mutually compared, SCLC tissue had higher levels of total SFA, especially stearic acid, while higher levels of linoleic acid, total PUFA, and n-3 and n-6 PUFA were detected in NSCLC. Estimated activities of Δ6 desaturase and elongase were higher in SCLC than in NSCLC. Conclusions: Our findings indicate a notable impairment of lipid metabolism in two types of lung cancer tissues. These type-specific alterations may be associated with differences in their progression and also point out different therapeutic targets.

Single-cell and spatial proteo-transcriptomic profiling reveals immune infiltration heterogeneity associated with neuroendocrine features in small cell lung cancer

Small cell lung cancer (SCLC) is an aggressive pulmonary neuroendocrine malignancy featured by cold tumor immune microenvironment (TIME), limited benefit from immunotherapy, and poor survival. The spatial heterogeneity of TIME significantly associated with anti-tumor immunity has not been systemically studied in SCLC. We performed ultra-high-plex Digital Spatial Profiling on 132 tissue microarray cores from 44 treatment-naive limited-stage SCLC tumors. Incorporating single-cell RNA-sequencing data from a local cohort and published SCLC data, we established a spatial proteo-transcriptomic landscape covering over 18,000 genes and 60 key immuno-oncology proteins that participate in signaling pathways affecting tumorigenesis, immune regulation, and cancer metabolism across 3 pathologically defined spatial compartments (pan-CK-positive tumor nest; CD45/CD3-positive tumor stroma; para-tumor). Our study depicted the spatial transcriptomic and proteomic TIME architecture of SCLC, indicating clear intra-tumor heterogeneity dictated via canonical neuroendocrine subtyping markers; revealed the enrichment of innate immune cells and functionally impaired B cells in tumor nest and suggested potentially important immunoregulatory roles of monocytes/macrophages. We identified RE1 silencing factor (REST) as a potential biomarker for SCLC associated with low neuroendocrine features, more active anti-tumor immunity, and prolonged survival.

Targeting TREX1 Induces Innate Immune Response in Drug-Resistant Small-Cell Lung Cancer.

Small-cell lung cancer (SCLC) is the most lethal type of lung cancer. Paradoxically, this tumor displays an initial exquisite response to chemotherapy; however, at relapse, the tumor is highly resistant to subsequent available therapies. Here, we report that the expression of three prime repair exonuclease 1 (TREX1) is strongly induced in chemoresistant SCLCs. Assay for transposase-accessible chromatin using sequencing and chromatin immunoprecipitation sequencing revealed a significant increase in chromatin accessibility and transcriptional activity of TREX1 gene locus in chemoresistant SCLCs. Analyses of human SCLC tumors and patient-derived xenografts (PDX) also showed an increase in TREX1 expression in postchemotherapy samples. TREX1 depletion caused the activation of cyclic GMP-AMP synthase stimulator of interferon gene pathway due to cytoplasmic accumulation of damage-associated double-stranded DNA, inducing immunogenicity and enhancing the sensitivity of drug-resistant cells to chemotherapy. These findings suggest TREX1 upregulation may partially contribute to the survival of resistant cells, and its inhibition may represent a promising therapeutic strategy to enhance antitumor immunity and potentiate the efficacy of chemotherapy and/or immunotherapy in chemoresistant SCLCs. Significance: In this study, we show that targeting TREX1 induces an innate immune response and resensitizes SCLC cells to chemotherapy, representing a promising novel target for "immunologically" cold tumors, such as SCLC.

SC134-TCB targeting fucosyl-GM1, a T cell engaging antibody with potent anti-tumour activity in preclinical small-cell lung cancer models.

Small-cell lung cancer (SCLC) is an aggressive disease with limited treatment options. Fucosyl-GM1 (FucGM1) is a glycolipid overexpressed in the majority of SCLC tumours, but virtually absent from normal healthy tissues. Here, we validate a FucGM1-targeting T cell redirecting bispecific antibody (TCB) for the treatment of SCLC. Over 80% of SCLC patient-derived xenograft (PDX) tissues expressed FucGM1, whilst only three normal human tissues: pituitary, thymus and skin expressed low and focal FucGM1. A FucGM1-targeting TCB (SC134-TCB), based on the Fc-silenced humanised h134 antibody exhibited nanomolar FucGM1 glycolipid and SCLC cell surface binding. SC134-TCB showed potent ex vivo killing of SCLC cell lines with donor-dependent EC50 ranging from 7.2 pmol/L up to 211.0 pmol/L, effectively activating T cells, with picomolar efficiency, coinciding with target-dependent cytokine production such as interferon gamma, interleukin-2 and tumour necrosis factor alpha and robust proliferation of both CD4 and CD8 T cells. The ex vivo SC134-TCB tumour controlling activity translated into an effective in vivo anti-DMS79 tumour therapy, resulting in 100% tumour-free survival in a human PBMC admixed setting and 40% overall survival (55% tumour growth inhibition) with systemically administered human PBMC. Combination treatment with Atezolizumab further enhanced survival and tumour growth inhibition (up to 73%). A ten-fold SC134-TCB dose reduction maintained the strong in vivo anti-tumour impact, translating into 70% overall survival (P<0.0001). Whole blood incubation with SC134-TCB, as well as healthy human primary cells analysis, revealed no target-independent cytokine production. SC134-TCB presents an attractive candidate to deliver an effective immunotherapy treatment option for SCLC patients.

Jumonji histone demethylases are therapeutic targets in small cell lung cancer

Small cell lung cancer (SCLC) is a recalcitrant cancer of neuroendocrine (NE) origin. Changes in therapeutic approaches against SCLC have been lacking over the decades. Here, we use preclinical models to identify a new therapeutic vulnerability in SCLC consisting of the targetable Jumonji lysine demethylase (KDM) family. We show that Jumonji demethylase inhibitors block malignant growth and that etoposide-resistant SCLC cell lines are particularly sensitive to Jumonji inhibition. Mechanistically, small molecule-mediated inhibition of Jumonji KDMs activates endoplasmic reticulum (ER) stress genes, upregulates ER stress signaling, and triggers apoptotic cell death. Furthermore, Jumonji inhibitors decrease protein levels of SCLC NE markers INSM1 and Secretogranin-3 and of driver transcription factors ASCL1 and NEUROD1. Genetic knockdown of KDM4A, a Jumonji demethylase highly expressed in SCLC and a known regulator of ER stress genes, induces ER stress response genes, decreases INSM1, Secretogranin-3, and NEUROD1 and inhibits proliferation of SCLC in vitro and in vivo. Lastly, we demonstrate that two different small molecule Jumonji KDM inhibitors (pan-inhibitor JIB-04 and KDM4 inhibitor SD70) block the growth of SCLC tumor xenografts in vivo. Our study highlights the translational potential of Jumonji KDM inhibitors against SCLC, a clinically feasible approach in light of recently opened clinical trials evaluating this drug class, and establishes KDM4A as a relevant target across SCLC subtypes.

Therapeutic targeting ERRγ suppresses metastasis via extracellular matrix remodeling in small cell lung cancer

Small-cell lung cancer (SCLC) is the most aggressive and lethal type of lung cancer, characterized by limited treatment options, early and frequent metastasis. However, the determinants of metastasis in SCLC are poorly defined. Here, we show that estrogen-related receptor gamma (ERRγ) is overexpressed in metastatic SCLC tumors, and is positively associated with SCLC progression. ERRγ functions as an essential activator of extracellular matrix (ECM) remodeling and cell adhesion, two critical steps in metastasis, by directly regulating the expression of major genes involved in these processes. Genetic and pharmacological inhibition of ERRγ markedly reduces collagen production, cell-matrix adhesion, microfilament production, and eventually blocks SCLC cell invasion and tumor metastasis. Notably, ERRγ antagonists significantly suppressed tumor growth and metastasis and restored SCLC vulnerability to chemotherapy in multiple cell-derived and patient-derived xenograft models. Taken together, these findings establish ERRγ as an attractive target for metastatic SCLC and provide a potential pharmacological strategy for treating this lethal disease.

DNA damage response signatures are associated with frontline chemotherapy response and routes of tumor evolution in extensive stage small cell lung cancer.

A hallmark of small cell lung cancer (SCLC) is its recalcitrance to therapy. While most SCLCs respond to frontline therapy, resistance inevitably develops. Identifying phenotypes potentiating chemoresistance and immune evasion is a crucial unmet need. Previous reports have linked upregulation of the DNA damage response (DDR) machinery to chemoresistance and immune evasion across cancers. However, it is unknown if SCLCs exhibit distinct DDR phenotypes. To study SCLC DDR phenotypes, we developed a new DDR gene analysis method and applied it to SCLC clinical samples, in vitro , and in vivo model systems. We then investigated how DDR regulation is associated with SCLC biology, chemotherapy response, and tumor evolution following therapy. Using multi-omic profiling, we demonstrate that SCLC tumors cluster into three DDR phenotypes with unique molecular features. Hallmarks of these DDR clusters include differential expression of DNA repair genes, increased replication stress, and heightened G2/M cell cycle arrest. SCLCs with elevated DDR phenotypes exhibit increased neuroendocrine features and decreased "inflamed" biomarkers, both within and across SCLC subtypes. Treatment naive DDR status identified SCLC patients with different responses to frontline chemotherapy. Tumors with initial DDR Intermediate and DDR High phenotypes demonstrated greater tendency for subtype switching and emergence of heterogeneous phenotypes following treatment. We establish that SCLC can be classified into one of three distinct, clinically relevant DDR clusters. Our data demonstrates that DDR status plays a key role in shaping SCLC phenotypes, chemotherapy response, and patterns of tumor evolution. Future work targeting DDR specific phenotypes will be instrumental in improving patient outcomes.

Small Cell Lung Cancer Neuronal Features and Their Implications for Tumor Progression, Metastasis, and Therapy.

Small cell lung cancer (SCLC) is an epithelial neuroendocrine form of lung cancer for which survival rates remain dismal and new therapeutic approaches are greatly needed. Key biological features of SCLC tumors include fast growth and widespread metastasis, as well as rapid resistance to treatment. Similar to pulmonary neuroendocrine cells, SCLC cells have traits of both hormone-producing cells and neurons. In this study, we specifically discuss the neuronal features of SCLC. We consider how neuronal G protein-coupled receptors and other neuronal molecules on the surface of SCLC cells can contribute to the growth of SCLC tumors and serve as therapeutic targets in SCLC. We also review recent evidence for the role of neuronal programs expressed by SCLC cells in the fast proliferation, migration, and metastasis of these cells. We further highlight how these neuronal programs may be particularly relevant for the development of brain metastases and how they can assist SCLC cells to functionally interact with neurons and astrocytes. A greater understanding of the molecular and cellular neuronal features of SCLC is likely to uncover new vulnerabilities in SCLC cells, which may help develop novel therapeutic approaches. More generally, the epithelial-to-neuronal transition observed during tumor progression in SCLC and other cancer types can contribute significantly to tumor development and response to therapy.

Genomic alterations and transcriptional phenotypes in circulating tumor DNA and matched metastatic tumor.

Profiling circulating cell-free DNA (cfDNA) has become a fundamental practice in cancer medicine, but the effectiveness of cfDNA at elucidating tumor-derived molecular features has not been systematically compared to standard single-lesion tumor biopsies in prospective cohorts of patients. The use of plasma instead of tissue to guide therapy is particularly attractive for patients with small cell lung cancer (SCLC), a cancer whose aggressive clinical course making it exceedingly challenging to obtain tumor biopsies. Here, a prospective cohort of 49 plasma samples obtained before, during, and after treatment from 20 patients with recurrent SCLC, we study cfDNA low pass whole genome (0.1X coverage) and exome (130X) sequencing in comparison with time-point matched tumor, characterized using exome and transcriptome sequencing. Direct comparison of cfDNA versus tumor biopsy reveals that cfDNA not only mirrors the mutation and copy number landscape of the corresponding tumor but also identifies clinically relevant resistance mechanisms and cancer driver alterations not found in matched tumor biopsies. Longitudinal cfDNA analysis reliably tracks tumor response, progression, and clonal evolution. Genomic sequencing coverage of plasma DNA fragments around transcription start sites shows distinct treatment-related changes and captures the expression of key transcription factors such as NEUROD1 and REST in the corresponding SCLC tumors, allowing prediction of SCLC neuroendocrine phenotypes and treatment responses. These findings have important implications for non-invasive stratification and subtype-specific therapies for patients with SCLC, now treated as a single disease.

Microenvironment shapes small-cell lung cancer neuroendocrine states and presents therapeutic opportunities

Small-cell lung cancer (SCLC) is the most fatal form of lung cancer. Intratumoral heterogeneity, marked by neuroendocrine (NE) and non-neuroendocrine (non-NE) cell states, defines SCLC, but the cell-extrinsic drivers of SCLC plasticity are poorly understood. To map the landscape of SCLC tumor microenvironment (TME), we apply spatially resolved transcriptomics and quantitative mass spectrometry-based proteomics to metastatic SCLC tumors obtained via rapid autopsy. The phenotype and overall composition of non-malignant cells in the TME exhibit substantial variability, closely mirroring the tumor phenotype, suggesting TME-driven reprogramming of NE cell states. We identify cancer-associated fibroblasts (CAFs) as a crucial element of SCLC TME heterogeneity, contributing to immune exclusion, and predicting exceptionally poor prognosis. Our work provides a comprehensive map of SCLC tumor and TME ecosystems, emphasizing their pivotal role in SCLC's adaptable nature, opening possibilities for reprogramming the TME-tumor communications that shape SCLC tumor states.

First-in-human study of ABBV-706, a seizure-related homolog protein 6 (SEZ6)–targeting antibody-drug conjugate (ADC), in patients (pts) with advanced solid tumors.

3001 Background: SEZ6 is a transmembrane protein expressed in small cell lung cancer (SCLC) and other neuroendocrine neoplasms (NENs), and central nervous system (CNS) tumors. These malignancies have a high unmet need for novel effective therapies. ABBV-706 is an ADC targeting SEZ6 conjugated to a topoisomerase 1 inhibitor payload at a drug-to-antibody ratio of 6, and is highly efficacious in preclinical models of SCLC, NENs, and CNS tumors. Here, results from ABBV-706 monotherapy dose escalation (DE) are presented. Methods: Phase 1, open-label, multicenter, DE and dose-expansion study (NCT05599984) of ABBV-706 as monotherapy or in combination with budigalimab (a programmed cell death 1 inhibitor), carboplatin, or cisplatin. Primary objectives are to determine the safety, PK, preliminary efficacy, and recommended phase 2 dose of ABBV-706. Exploratory objectives are to assess SEZ6 expression retrospectively and its association with safety, PK, and efficacy. DE enrolled adults (≥18 yr) with relapsed/refractory SCLC, high-grade CNS tumors, and high-grade NENs, following the Bayesian optimal interval design. ABBV-706 was administered IV at 1.3–3.5 mg/kg doses Q3W in 21-d cycles. Results: As of data cutoff on Nov 15, 2023, 49 pts (SCLC: n=22 [45%]; CNS tumors: n=5 [10%]; NEN: n=22 [45%]) were enrolled and treated with ABBV-706 in DE and backfill cohorts. Median age was 64 yr (range 32–81) and median prior lines of therapy was 2.5 (range 1–6). 2 pts had a dose-limiting toxicity: 1 G4 leukopenia and neutropenia lasting &gt;7 d at 3.0 mg/kg and 1 G4 thrombocytopenia at 3.5 mg/kg. TEAEs occurred in 45 (92%) pts, the most frequent being anemia (51%), fatigue (41%), neutropenia (31%), and leukopenia (31%). G≥3 TEAEs occurred in 28 (57%) pts and were mainly hematologic: neutropenia (29%), anemia (27%), and leukopenia (25%). No pneumonitis/interstitial lung disease was observed. Gastrointestinal TEAEs (all G1/2) were seen in 55% of pts, with the most common being nausea (27%) and vomiting (18%). There were no ABBV-706–related deaths. The maximum tolerated dose was 3 mg/kg IV Q3W. ABBV-706 ADC showed an approximate dose-proportional increase in exposure with an elimination half-life of approximately 7 d across doses. For 33 RECIST-evaluable pts, the confirmed (c) objective response rate was overall 21% (7 partial responses [PRs]); 40% (6/15) for SCLC and 6% (1/18) for NEN. The overall response (c and unconfirmed [u]) rate without confirmation was 45% (7 cPRs/8 uPRs); 73% (6 cPRs/5 uPRs) for SCLC, and 22% (1 cPR/3 uPRs) for NEN. 8 uPRs are pending confirmation and will be reported in the final presentation. The clinical benefit rate was 91% (7 PR, 23 stable disease). No activity was observed in 3/3 pts with high-grade gliomas. Conclusions: ABBV-706 demonstrated a manageable safety profile with promising efficacy in SCLC and NENs. Further evaluation of ABBV-706 is ongoing. Clinical trial information: NCT05599984 .

Multidimensional analysis of B7 homolog 3 (B7-H3) RNA expression in small-cell lung cancer (SCLC) molecular subtypes.

8088 Background: SCLC is an aggressive cancer with a poor prognosis. B7-H3, a transmembrane protein showing low expression in normal tissues but overexpression in SCLC and other tumors, is a promising target for antibody–drug conjugates. We performed a multidimensional analysis of B7-H3/ CD276 expression in SCLC molecular subtypes (SCLC-A, -N, -P, and -I) and its relationship with expression of other immune-related genes. Methods: Clinical and molecular data for a cohort of patients (pts) with SCLC were derived from a real-world database (Caris Life Sciences, Irving, TX, USA). Tumor RNA expression was used to assign the SCLC molecular subtype derived from non-negative matrix factorization. Programmed death ligand-1 (PD-L1) protein expression was assessed by immunohistochemistry (IHC; antibody 22c3; positive cut-off: tumor proportion score &gt;1%). Demographic, clinical, and molecular data were summarized by SCLC subtype or B7-H3 expression quartile (Q). Spearman’s r evaluated correlations between expression of B7-H3 and other immune-related genes/signatures. Results: The cohort included 1721 pts (52.5% female; 98.9% [434/439] smokers; median age, 67 years [range, 18–90+]). Across the subtypes, B7-H3 expression was high and remarkably consistent ( q&gt;0.05; Table). Other biomarker genes, including DLL3 (q&lt;0.05), had lower and more variable expression. Median (range) B7-H3 expression across all samples was 16.75 (0–68.2) transcripts per million (TPM). Across B7-H3 expression Qs, the proportion of PD-L1-positive pts by IHC was similar (Q1, 39.8%; Q2, 46.5%; Q3, 40.7%; Q4, 39.2%). Median (95% confidence interval) B7-H3 expression was similar between pts with prior immunotherapy ( n=24; 14.43 [11.64–21.17] TPM) and pts without ( n=208; 14.20 [13.00–15.91] TPM); treatment information was not available for the remaining samples in this cohort. B7-H3 expression was not strongly correlated with any other immune-related genes/signatures, although several had moderate correlation ( HAVCR2/ TIM3, r=0.59; PDCD1LG2/ PD-L2, r=0.56; M2 macrophages, r=0.56; CD86, r=0.56). Conclusions: In pts with SCLC, B7-H3 showed high and consistent expression across subgroups defined by molecular subtype or prior immunotherapy. The relative expression of B7-H3 was higher and less variable among molecular subtypes than for other key molecular targets in this tumor type, including DLL3. B7-H3 expression had limited association with PD-L1 expression, supporting a role as a distinct therapeutic target. [Table: see text]

Abstract 1438: Investigating the roles of EMT in small cell lung cancer tumorigenesis and chemoradiation response

Abstract In this study, we investigated the contributions of the epithelial-mesenchymal transition (EMT) program to small cell lung cancer (SCLC) tumorigenesis and chemoradiation (CRT) response. SCLC is a highly aggressive and deadly neuroendocrine malignancy. Two major factors that contribute to the high mortality of SCLC are (1) early metastasis and (2) rapid development of therapy resistance. Recent research suggests upregulation of EMT and the EMT transcription factor Twist1 correlated with accelerated tumor progression and CRT resistance in SCLC. Due to the lack of suitable animal models, the causal relationship between the EMT program and SCLC tumorigenesis and therapy response has not been rigorously investigated. To this end, we have generated a novel genetically engineered mouse model (GEMM) termed RPGT (Rb1Flox; Trp53Flox; ROSA26LSL-rtTA-IRES-EGFP; Twist1-TetO7-Luc). The RPGT GEMM enables the generation of autochthonous SCLC tumors after induction with Cre recombinase adenovirus. By withdrawing or providing doxycycline to mice, we can control Twist1 expression to activate or inactivate EMT in tumors. Upon characterizing mouse tumor samples with histological and molecular analyses, we observed that both control (no Twist1 overexpression) and Twist1-overexpressing RPGT mice developed neuroendocrine SCLC tumors. While SCLC-A was the predominant subtype in both cohorts, RPGT tumors exhibited more heterogeneity. Importantly, although no difference in tumorigenesis was observed, Twist1 overexpression dramatically increased the metastatic incidence in RPGT (87-100%) compared to control (25-50%) animals, indicating an important role of EMT in SCLC dissemination. Furthermore, transcriptomic profiling of primary tumors and matching metastases in RPGT mice revealed downregulation of Twist1 and EMT in metastases, suggesting that EMT suppression was necessary for metastatic outgrowth. To evaluate the impact of EMT activation on SCLC sensitivity to CRT, we performed in vitro viability assays on primary tumor cell lines established from RPGT tumors. We found that repressing Twist1 expression enhanced SCLC susceptibility to CRT. To validate these results in vivo, we treated RPGT mice with vs. without Twist1 overexpression with CRT. Consistent with our in vitro results, our in vivo data indicated that Twist1 overexpression promoted CRT resistance in SCLC tumors. Overall, our data suggest that the EMT program plays an important role in SCLC differentiation, metastasis, and resistance against chemo-radiotherapy. Citation Format: Triet Nguyen, Jinhee Chang, Kathleen Gabrielson, Amol Shetty, Yang Song, Audrey Lafargue, Shreya Jagtap, Danielle Council, Aaron Chan, Dipanwita Dutta Chowdhury, Muhammad Ajmal Khan, Nick Connis, Francesca Carrieri, Eddie Imada, Daniel Sforza, Eric Gardner, Christopher McFarland, Luigi Marchionni, Mohammad Rezaee, Christine Hann, Phuoc Tran. Investigating the roles of EMT in small cell lung cancer tumorigenesis and chemoradiation response [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1438.

Abstract 5795: Potent and selective degradation of KAT2A and KAT2B induces profound cell state changes and inhibits growth of AML, SCLC and NEPC model systems

Abstract Phenotypic plasticity, or the ability of cancer cells to switch between cell states, has recently been recognized as a key hallmark of cancer. Cancer cells can hijack normal developmental pathways, preventing terminal differentiation or causing de-differentiation or transdifferentiation to a more proliferative, plastic cell state similar to those found in early development. Using our proprietary AI/ML platform AURIGIN, we created a high-resolution atlas to define the drivers of normal cell states during human development. After mapping primary human tumors to the atlas, we identified the histone acetyltransferase KAT2A as a key driver of tumor cell plasticity in a subset of acute myeloid leukemias (AML), small cell lung cancer (SCLC) and neuroendocrine prostate cancer (NEPC). Targeting KAT2A was genetically validated in MOLM-13 (AML) cells, where knockdown resulted in significant cell growth inhibition and induction of cell state changes consistent with a more mature differentiation phenotype. Similarly, an early tool heterobifunctional degrader of KAT2A and KAT2B (AUR101) resulted in potent growth inhibition and granulocytic differentiation in MOLM-13 cells and in 5/12 primary AML patient samples grown ex vivo. Treatment of NCI-H1048 SCLC cells with AUR101 potently degraded KAT2A/B, induced a significant shift from a dedifferentiated cell state to a more differentiated epithelial cell state and potently inhibited cell growth both in vitro and in vivo. The strong biological validation of KAT2A/B in SCLC and AML tumors, led us to develop AUR1545, a novel sub-nanomolar degrader of KAT2A and KAT2B. AUR1545, with its improved drug like properties, was tested across representative models of AML, SCLC and NEPC. In vitro, treatment with AUR1545 inhibited proliferation and promoted profound cell state changes in MOLM-13 (AML) cells. In NCI-H1048 (SCLC), LASPC-01 (NEPC) cell lines as well as a primary NEPC organoid model, AUR1545 demonstrated potent antiproliferative effects. In vivo, AUR1545 significantly inhibited tumor growth in an NCI-H1048 xenograft model. Taken together, these data genetically and pharmacologically validate KAT2A and KAT2B as key drivers of cell state plasticity in SCLC, NEPC and AML tumors and point to their utility as novel targets in these aggressive, metastatic and drug resistant cancers. Citation Format: Kimberly S. Straley, James Neef, Ileana Antony-Debre, Maulasri Bhatta, Sambad Sharma, Sara Sinicropi-Yao, Joe DeBartolo, Andrew McRiner, Betty Chan, Henry Wilson, Christina S. Lee, Zied Boudhraa, Mohamed El Ezzy, Umar Sharif, Mark Bittinger, Laura Antipov, Thomas G. Graeber, Stephane de Botton, Katharine E. Yen, David S. Millan. Potent and selective degradation of KAT2A and KAT2B induces profound cell state changes and inhibits growth of AML, SCLC and NEPC model systems [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5795.

Abstract 6925: Integrative single-cell tracking of genome evolution and tumor cell plasticity in small cell lung cancer (SCLC)

Abstract SCLC is the deadliest type of lung cancer, which is mostly diagnosed at late stages and accounts for 15% of pulmonary tumors. Even though chemotherapy is initially effective, patients with SCLC relapse quickly and develop resistant tumors. Genome studies revealed a universal loss of TP53 and RB1; recent transcriptional studies categorized SCLC based on the expression of 4 lineage transcription factors (TFs). We aimed to dissect how genomic cues impact transcriptional phenotypes, tumor cell plasticity and the dynamics of tumor and immune cell interactions, to thus decipher molecular mechanisms of phenotypic divergence and therapy resistance in SCLC. We performed genome sequencing and single cell transcriptome profiling of 55 tumors from patients with SCLC, including primary tumors, local and distant metastases and of paired relapsing tumors acquired after chemotherapy. Single cell sequencing was performed with the 10x Genomics platform and yielded &amp;gt; 200.000 cells. Transcriptome profiles at single cell levels revealed co-expression of at least two of the lineage TFs ASCL1, NEUROD1 or POU2F3 in each tumor. Copy number (cn) estimation for transcriptome data pointed to genomic events impacting transcriptional heterogeneity within the tumor. Furthermore, our data pointed to a marked intra- and interpatient, as well as to inter-metastatic heterogeneity. To specifically investigate how underlying genetic alterations affect molecular phenotypes, integrative studies across all patients were performed. This revealed shared transcriptional programs in tumors with amplifications of MYC family members; trajectory inference for cases with low and high-level copy gains of MYCN pointed to distinct transcriptional states. We performed multi-regional and longitudinal studies of matched patient cases to reconstruct the genomic patterns of clonal evolution, and projected genomic subsets to transcriptional profiles at single cell level, thus analyzing the effect of genome diversity on the transcriptional landscape. Additionally, tumor intrinsic profiles of heterogeneity were mapped to single cell data of patient tumors to elucidate the effects on tumor-immune cell interactions. All together our data points to a concerted regulation of a multitude of lineage factors and transcriptional programs in each SCLC tumor and provides a first comprehensive framework for the study of underlying genetic alterations that shape the transcriptional landscape and phenotypic plasticity in SCLC. Citation Format: Marcel Schmiel, Laura Kaiser, Maria Cartolano, Martin Peifer, Roman K. Thomas, Julie George. Integrative single-cell tracking of genome evolution and tumor cell plasticity in small cell lung cancer (SCLC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6925.

Abstract 7175: Web-based cross-database exploration of molecular pharmacology data from cancer cell lines and patient genomics

Abstract CellMiner Cross-Database (CellMinerCDB, discover.nci.nih.gov/cellminercdb) allows integration and analysis of molecular and pharmacological data within and across cancer cell line datasets from the National Cancer Institute (NCI), Broad Institute, Sanger/MGH, MD Anderson Cancer Center (MDACC), and the National Center for Advancing Translational Sciences (NCATS, discover.nci.nih.gov/rsconnect/cellminercdb_ncats/). Altogether, our database spans over 1,700 distinct cell lines, over 1,000 clinically relevant drugs, ~25,000 experimental compounds, and molecular profiling data, such as gene/protein expression, molecular signatures including epithelial mesenchymal transition (EMT), replication stress (RepStress), neuroendocrine evaluation (NE), DNA copy, methylation, mutational status, and gene dependencies (Broad DepMap). This rich and growing set of cell lines and tested drugs allows for novel avenues for response determinant discovery and clinical translation that is facilitated by 1) common annotations (e.g., tissues of origin and matched drug names) across pharmacogenomic datasets and 2) various univariate and multivariate analyses tools. A major challenge to clinical translation occurs in relating pre-clinical models to patient samples. As part of this work, we show how the CellMinerCDB infrastructure additionally supports annotated patient multi-omics data to aid researchers to relate findings from cancer cell lines with patient data; we use data from small cell lung cancer (SCLC) and neuroendocrine tumors as illustrative examples. This work provides significant pharmacogenomic integration that allows exploration within a comprehensive dataset of cancer cell lines and to inter-relationships with patient-derived datasets; this is being developed to display and mine patient samples as part of the complementary web-based tool (PatientTumorMiner). Citation Format: William C. Reinhold, Augustin Luna, Fathi Elloumi, Sudhir Varma, Daiki Taniyama, Makito Mizunuma, Jaydira del Rivero, Anish Thomas, Karyyne Reilly, Karel Pacak, Mirit Aladjem, Yves Pommier. Web-based cross-database exploration of molecular pharmacology data from cancer cell lines and patient genomics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7175.

Abstract 5864: YAP1 defines a highly plastic, persister cell population in small cell lung cancer (SCLC) following relapse

Abstract SCLC is an aggressive, neuroendocrine malignancy notable for rapid, albeit transient, responses to therapy. We have previously shown that transcriptional heterogeneity among treatment-naïve SCLC tumors underlies four distinct transcriptional subtypes, each with distinct clinical vulnerabilities. Though previously hypothesized to delineate a distinct subtype, expression of YAP1 is largely absent from treatment-naïve SCLC. Less clearly defined is the transcriptional landscape of relapsed SCLC, the evolution of which may underlie SCLC’s capacity for insurmountable resistance. To better define the biology of relapsed SCLC, we performed mass cytometry analysis of patient circulating tumor cells (CTCs), immunohistochemistry for ASCL1, NEUROD1, POU2F3, MYC and YAP1, and single-cell (sc)RNAseq of core needle biopsies from SCLC patients and preclinical models following resistance to standard-of-care therapies. In contrast to treatment-naïve SCLC, YAP1 mRNA and protein are detectable in patient CTC populations and tumors from relapsed patients and PDXs, albeit at levels lower than subtype-defining transcription factors (e.g. ASCL1, NEUROD1, or POU2F3). Notably, however, scRNAseq reveals these YAP1 expressing cells to be mutually exclusive with ASCL1 and NEUROD1, though not necessarily POU2F3. YAP1-expressing cells possess unique mesenchymal, inflamed features and exhibit high levels of transcriptional plasticity. Consistent with the upregulation of YAP1 following chemotherapy, YAP1-positive cell populations express senescence associated secretory phenotype genes and cancer stem cell genes, suggesting that these populations represent drug tolerant persister cells that may serve as a source for renewal of classical neuroendocrine populations within the tumor. Targeting these resistant populations may be critical to re-establish response in relapsed SCLC, and these analyses identified high expression of several surface proteins that are currently under investigation as targets for antibody-drug conjugates in SCLC clinical trials, including B7H3, TROP2 and HER2 antibody drug conjugates. These data suggest that the acquisition of YAP1 expression delineates a particularly recalcitrant tumor cell population observed almost exclusively in relapsed SCLC that is capable of driving tumor persistence and treatment resistance. Clinically, these data underscore the importance of constraining transcriptional plasticity in the frontline management of SCLC, but also of developing therapies aimed specifically at emergent populations capable of driving resistance, as with the YAP1-high cells identified here. The emergence of YAP1 following resistance in SCLC and the observation of YAP1 as a common feature of other high-grade neuroendocrine carcinomas exclusive of SCLC, likely explains the initial mischaracterization of YAP1 as a subtype-defining feature of SCLC. Citation Format: C. Allison Stewart, Sarah M. Groves, Runsheng Wang, Kavya Ramkumar, Yuanxin Xi, Lixia Diao, Alejandra G. Serrano, Azusa Tanimoto, Ashley M. Victorian, Sayantan Bhattacharyya, Alexa J. Halliday, Neda Kalhor, Luisa Maren Soto, Pedro Filipe Da Rocha, Natalie Vokes, Loukia G. Karacosta, Jing Wang, John V. Heymach, Vito Quaranta, Bonnie Glisson, Lauren Averett Byers, Carl M. Gay. YAP1 defines a highly plastic, persister cell population in small cell lung cancer (SCLC) following relapse [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5864.

Abstract 1722: Subtype classification of small cell lung cancer (SCLC) tissues using the EpiCheck methylation sensitive restriction-based PCR platform

Abstract Small cell lung cancer (SCLC) is an aggressive neuroendocrine malignancy with poor survival rates. Despite molecular and clinical heterogeneity, SCLC is currently treated as a single entity without guidance of predictive biomarkers leading to expectedly poor outcomes. A recent study suggested classifying SCLC into four subtypes (“A”, “N”, “P” and “I”), each with unique molecular features and therapeutic vulnerabilities. While initially this classification was based on gene expression (RNA-seq) data, subsequent data suggest it can be recapitulated using reduced-representation bisulfite sequencing (RRBS) methylation profile. While the classification system accurately predicts responses to therapies, including immunotherapies, in retrospective analysis, both tissue-based RNAseq and RRBS are cumbersome, time-consuming and impractical for prospective treatment assignment in an aggressive malignancy. In this pilot study, we developed a methylation-based PCR assay for classification of SCLC subtypes based on the EpiCheck platform, which combines methylation-sensitive restriction endonuclease (MSRE) digestion with qPCR amplification to detect differential methylation at the DNA level. We developed a 13-marker assay and successfully classified, in a blinded study, 96.55% of FFPE tissue samples originating from SCLC patient of A, N and P subtypes. First, a bioinformatic analysis identified 41 candidate biomarkers that are differentially methylated between pairs of SCLC subtypes (A-N, A-P, and N-P) using RRBS data from 56 RNA-seq classified SCLC tumor samples (34 “A”, 19 “N”, 3 “P”). Development of primers and probes for these markers was followed by a biochemical selection process, identifying 13 markers that displayed optimal performance. A PCR EpiCheck assay, employing these 13 markers, was applied to a blinded set of 29 DNA samples from SCLC FFPE tumor tissues (21 “A”, 6 “N”, 2 “P”). Each sample received two ranks based on methylation levels of 5 A-N and 9 P-AN markers and was classified using determined thresholds for each rank. Finally, when comparing PCR-based and RNA-seq-based classifications, the 13-marker PCR assay classified 28/29 (96.55%) of the samples concordantly, misclassifying one "P" sample as "A". This pilot demonstrates the potential of a simple PCR EpiCheck-based assay to accurately differentiate between SCLC subtypes. For complete subtype classification, “I” markers need to be added to the panel, and the assay should be further validated using a larger cohort, particularly for the “P” subtype. Early detection and classification are critical for timely personalized therapy, and such an assay, performed on cfDNA samples, could potentially be used to shorten the time between a patient diagnosis and tailored treatment initiation or clinical study inclusion from a month in best case scenarios to a few days. Citation Format: Orna Savin, Dvir Netanely, Simon Heeke, Carl Michael Gay, Marcos Roberto Estecio, Shacade Danan, Sarah Zaouch, Aharona Shuali, Mathias Ehrich, Lauren Averett Byers, John Victor Heymach, Adam Wasserstrom, Danny Frumkin. Subtype classification of small cell lung cancer (SCLC) tissues using the EpiCheck methylation sensitive restriction-based PCR platform [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1722.

Abstract 6943: Evolutionary dynamics under chemotherapy in small cell lung cancer: Insights from patient-derived xenotransplant models

Abstract Introduction: The treatment of patients with small cell lung cancer (SCLC) represents a major medical challenge due to aggressive tumor growth and the poor 5-year overall survival rate of only 5%. SCLC tumors typically are remarkably sensitive to chemotherapy at the beginning; however, the subsequent rapid relapse of therapy-resistant tumors is a severe obstacle. We therefore aimed to decipher the molecular patterns guiding processes of evolutionary adaptation in SCLC as a consequence of therapeutic interventions. Methods: Over 100 patient-derived xenotransplant models were generated from clinical SCLC specimens capturing a wide range of genetic and molecular features as well as clinical phenotypes with regard to chemotherapy response. We recapitulated chemotherapy response in vivo for 32 models, and performed in-depth genome and single-cell transcriptome sequencing to thus dissect genomic evolutionary trajectories and transcriptional plasticity of therapy-naïve and relapsed tumors, which includes the study of multiregional and longitudinal samples. Results: The response to chemotherapy in vivo reflected the clinical response of the patients; however, several models of relapsed patients remained sensitive to treatment. Genomic studies of clonal dynamics indicated selection of subclones as a result of therapeutic pressure. In contrast, chemo-refractory tumors maintained their clonal composition after therapy. In agreement with genomic profiles, single-cell transcriptome data revealed a tremendous shift in expression profiles and composition of subpopulations. Furthermore, subclonal genomic events including copy number alterations were found to shape the transcriptional heterogeneity in tumors. Conclusion: Here, we demonstrate a comprehensive functional characterization of multi-regional tumor sites and longitudinal specimens acquired from patients with SCLC, in which we elucidate genomic and transcriptional heterogeneity as a consequence of therapy response. Overall, our data points to a complex interplay between sub-clonal genomic changes and transcriptional plasticity shaping therapy response in which pre-existing genomic alterations impact selection under therapy. Citation Format: Laura C. Kaiser, Marcel Schmiel, Agnieszka Ruminska, Nazanin Alavinejad, Christian Müller, Justinas Valiulis, Martin Peifer, Maria Cartolano, Roman K. Thomas, Julie George. Evolutionary dynamics under chemotherapy in small cell lung cancer: Insights from patient-derived xenotransplant models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6943.