Project description:131 patient-derived xenograft models were generated for non-small cell lung carcinoma and were profiled by analysis of gene copy number variation, whole exome sequence, methylome, transcriptome, proteome, and phospho(Tyr)-proteome. Proteome profiling resolved the known major histology subtypes and revealed 3 proteome subtypes (proteotypes) among adenocarcinoma and 2 in squamous cell carcinoma that were associated with distinct protein-phosphotyrosine signatures and patient survival. Proteomes of human tumor were discernible from murine stroma. Stromal proteomes were similar between histological subtypes, but two adenocarcinoma proteotypes had distinct stromal proteomes. Tumor and stromal proteotypes comprise signatures of targetable biological pathways suggesting that patient stratification by proteome profiling may be an actionable approach to precisely diagnose and treat cancer.
Project description:131 patient-derived xenograft models were generated for non-small cell lung carcinoma and were profiled at the genome, transcriptome and proteome level by analysis of gene copy number variation, whole exome sequencing, DNA methylation, transcriptome, proteome and phospho(Tyr)-proteome. At the proteome level, the human tumor and murine stroma were discernible. Tumor proteome profiling resolved the known major histological subtypes and revealed 3 proteome subtypes (proteotypes) among adenocarcinoma and 2 in squamous cell carcinoma that were associated with distinct protein-phosphotyrosine signatures and patient survival. Stromal proteomes were similar between histological subtypes, but two adenocarcinoma proteotypes had distinct stromal proteomes. Proteotypes comprise tumor and stromal signatures of targetable biological pathways suggesting that patient stratification by proteome profiling may be an actionable approach to precisely diagnose and treat cancer.
Project description:Non-small cell lung cancer (NSCLC) death rates exceed the next 3 prevalent cancers combined; however, most NSCLC tumors lack actionable mutations. Recent studies of NSCLC and other cancers revealed profound proteome remodelling with prognostic impact that is not fully predicted by DNA or RNA analyses. These revelations portend proteome-based cancer classification and treatment. This will require model systems that recapitulate tumor proteomes and phenotypes. A subset (~35%) of the most aggressive NSCLC can form a patient-derived xenograft (PDX). We generated 137 PDX models of aggressive NSCLC, which represent the histological, genome, transcriptome, and DNA methylation features and proteome remodelling of primary NSCLC. The models indicate 3 lung adenocarcinoma and 2 squamous cell carcinoma proteotypes that are associated with different patient outcomes, protein-phosphotyrosine profiles, candidate targets, and in adenocarcinoma, distinct stromal immune features. The PDX resource will foster proteome-directed stratification and development of new treatments for aggressive NSCLC.
Project description:Non-small cell lung cancer (NSCLC) death rates exceed the next 3 prevalent cancers combined; however, most NSCLC tumors lack actionable mutations. Recent studies of NSCLC and other cancers revealed profound proteome remodelling with prognostic impact that is not fully predicted by DNA or RNA analyses. These revelations portend proteome-based cancer classification and treatment. This will require model systems that recapitulate tumor proteomes and phenotypes. A subset (~35%) of the most aggressive NSCLC can form a patient-derived xenograft (PDX). We generated 137 PDX models of aggressive NSCLC, which represent the histological, genome, transcriptome, and DNA methylation features and proteome remodelling of primary NSCLC. The models indicate 3 lung adenocarcinoma and 2 squamous cell carcinoma proteotypes that are associated with different patient outcomes, protein-phosphotyrosine profiles, candidate targets, and in adenocarcinoma, distinct stromal immune features. The PDX resource will foster proteome-directed stratification and development of new treatments for aggressive NSCLC.
Project description:Crotonylation is a crotonyl-coenzyme A (CoA)-mediated post-translational modification best known for its roles in epigenetic regulation. Histone lysine crotonylation (Kcr) has been reported to be involved in tumor-related biological functions such as DNA damage repair and immune infiltration. Here we find that abnormal reduction of histone Kcr significantly correlates with a poor response to epithelial growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) in in-house-established drug-resistant models of lung cancer cell lines, and in cell line-derived xenograft (CDX) and patient-derived xenograft (PDX) models. The crotonyl-CoA-producing enzyme ACSS2 is the key regulator of the resistance-related change of crotonylation. Quantitative crotonylomic, transcriptomic and epigenomic analyses reveal that EGFR-TKI resistance is accompanied by reduced levels of histone 3 lysine 56 crotonylation (H3K56cr) on chromatin, which inhibits transcription of HNF1A and activates the PI3K/AKT signaling pathway. Studies of patient-derived organoids (PDOs) and resistant lung cancer CDX and PDX models treated with a novel histone decrotonylase (HDCR) inhibitor, S67, demonstrate that up-regulation of H3K56cr sensitizes cells to the effect of EGFR-TKIs. These findings uncover the role of histone Kcr in resistance to EGFR-TKIs and suggest a new combination therapy in lung cancer.
Project description:Acquired drug resistance to tyrosine kinase inhibitor (TKI) targeted therapies remains a major clinical challenge. In EGFR mutant non-small cell lung cancer (NSCLC), therapeutic failure of EGFR TKIs can result from both genetic and epigenetic mechanisms of acquired drug resistance. Histologic and gene expression changes consistent with an epithelial-to-mesenchymal transition (EMT) have been associated with resistance to EGFR TKIs in both experimental models and in patients, and may coincide with genetic mechanisms of resistance such as the EGFRT790M gatekeeper mutation. While therapeutic approaches targeting EGFRT790M have been developed, a strategy for overcoming EMT-related resistance remains unclear. We performed whole-genome CRISPR screening on patient-derived, mesenchymal EGFRT790M-positive cell lines and identified FGFR1 as a critical gene promoting resistance to third generation EGFR TKIs. The FGFR1-3 inhibitor, BGJ398 (infigratinib), resensitized resistant mesenchymal-like cell lines to EGFR inhibition in a synergistic manner. Combining EGFR + FGFR inhibitors also inhibited the in vitro survival and expansion of EGFR mutant drug tolerant cells with mesenchymal-like features prior to the development of drug resistance, and delayed the development of in vivo resistance in EGFR mutant NSCLC xenograft tumors. These results suggest that dual EGFR + FGFR blockade may be a promising clinical strategy for preventing and overcoming EMT-associated acquired drug resistance in EGFR mutant NSCLC.