Abstract
Abstract Small cell lung cancer (SCLC) is a highly aggressive form of lung cancer that causes an estimated 200,000 patient deaths globally every year. Most (>70%) patients present with extensive stage (ES)-SCLC, and the disease primarily presents with a neuroendocrine (NE), immune-desert phenotype, with low expression of antigen-presenting machinery genes. Despite limited immune infiltration in the tumor, SCLC has reproducibly responded to immune checkpoint blockade. IMpower133 was a pivotal Phase III trial that added atezolizumab (anti-PD-L1) to platinum/etoposide chemotherapy for treatment of first-line ES-SCLC, which led to the first approval of an immune checkpoint blockade strategy in SCLC. While the inclusion of atezolizumab to the treatment regimen has extended the survival of some patients, SCLC remains an unmet medical need with a mOS of 12.3 months. Furthermore, we lack a deep molecular understanding of factors mediating response and resistance to standard of care therapies in SCLC. To understand the genetic drivers of SCLC that could be linked to immunotherapy resistance, we analyzed the matched whole-exome sequencing and RNA-seq data from baseline tumor samples collected from the IMpower133 trial. Previously, we applied the non-negative matrix factorization (NMF) approach to the RNA-seq data, which clustered patients into four subsets of SCLC, with varying degrees of immune infiltration, neuroendocrine program activation, and clinical benefit from immunotherapy. Notably, we identified an inflamed-neuroendocrine (I-NE) subset of patients that exhibit longer overall survival with chemoimmunotherapy compared to chemotherapy alone, and an inflamed-non-neuroendocrine (I-nonNE) subset of patients that did not show a similar benefit from the addition of immunotherapy to chemotherapy. Here, we interrogated the matched WES data for recurrent alterations that may identify subsets of tumors with distinct immunological features. We identified several genes whose alterations significantly affected the enrichment of immune-related gene signatures. In particular, we identified MANF and CSK, genes previously shown to be potential tumor suppressors, as genes whose alteration associates with an “immune desert” transcriptional program. Specifically, genetic deletions or low RNA expression was associated with significantly decreased gene expression of gene signatures associated with lymphocytes, macrophages, and antigen presentation machinery. These data suggest a potential mechanism by which commonly inactivated tumor suppressors may shape the “immune desert” phenotype of SCLC. Further work is needed to determine if and how these genes may directly or indirectly modulate the tumor-immune interaction. Citation Format: Myung Chang Lee, Velimir Gayevskiy, Stefanie Morris, Minu K Srivastava, Namrata S Patil, Stephen V Liu, Martin Reck, Sanjeev Mariathasan, David S Shames, David P MacPherson, Robert J Johnston, Barzin Y Nabet. Identifying proliferative and immune-modulatory drivers of small cell lung cancer (SCLC) [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2024 Oct 18-21; Boston, MA. Philadelphia (PA): AACR; Cancer Immunol Res 2024;12(10 Suppl):Abstract nr A017.
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