Abstract 2151: Identification and proteogenomic characterization of novel lung adenocarcinoma subtypes with therapeutic relevance

Abstract

Abstract Lung adenocarcinoma (LUAD) is one of the most common cancer types with various available treatment modalities. However, better biomarkers of response are still needed for further improving precision medicine. Therefore, a robust LUAD subtyping can substantially aid in determining the most effective therapies that target subtype-specific vulnerabilities. In this study, we integrated multiple datasets: (i) the full 509 LUAD patient cohort from The Cancer Genome Atlas (TCGA) project, (ii) cancer vulnerability data in LUAD cell lines from the Broad Institute’s DependencyMap, and (iii) proteomic data from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) LUAD patients. Using these datasets, we identified 5 expression subtypes (S1-S5) with unique proteogenomic and dependency profiles that increased the resolution of previously defined subtypes (Proximal Inflammatory [PI]; Proximal Proliferative [PP]; and Terminal Respiratory Unit [TRU]). S4-associated cell lines exhibited specific vulnerability to CDK6 and CDK6-cyclin D3 complex gene, CCND3. S3 was characterized by dependency on CDK4, immune-related expression patterns, and altered MET signaling. Experimental validation showed that S3-associated cell lines responded to MET inhibitors, which also led to increased PD-L1 expression. Finally, we identified a small set of biomarkers for S3 and S4 that could be used in the clinic to classify patients into our therapeutically relevant subtypes. Overall, our lung adenocarcinoma expression subtypes, especially S3 that represents 20% of LUAD patients and S4 that represents 25% of LUAD patients, and their biomarkers could help identify patients likely to respond to CDK4/6, MET, or PD-L1 inhibitors, potentially improving patient outcome. Citation Format: Whijae Roh, Yifat Geffen, Mendy Miller, Shankara Anand, Jaegil Kim, David Heiman, Matthew Meyerson, Peter Laird, Andrew Cherniack, NCI CCG Tumor Molecular Pathology (TMP) Analysis Working Group, Gad Getz. Identification and proteogenomic characterization of novel lung adenocarcinoma subtypes with therapeutic relevance [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2151.