Epithelial‐mesenchymal transition (EMT) is a reversible and dynamic process hypothesized to be co‐opted by carcinoma during invasion and metastasis. Yet, there is still no quantitative measure to assess the interplay between EMT and cancer progression. Here, we derived a method for universal EMT scoring from cancer‐specific transcriptomic EMT signatures of ovarian, breast, bladder, lung, colorectal and gastric cancers. We show that EMT scoring exhibits good correlation with previously published, cancer‐specific EMT signatures. This universal and quantitative EMT scoring was used to establish an EMT spectrum across various cancers, with good correlation noted between cell lines and tumours. We show correlations between EMT and poorer disease‐free survival in ovarian and colorectal, but not breast, carcinomas, despite previous notions. Importantly, we found distinct responses between epithelial‐ and mesenchymal‐like ovarian cancers to therapeutic regimes administered with or without paclitaxel in vivo and demonstrated that mesenchymal‐like tumours do not always show resistance to chemotherapy. EMT scoring is thus a promising, versatile tool for the objective and systematic investigation of EMT roles and dynamics in cancer progression, treatment response and survival.
The phenotypic transformation of well-differentiated epithelial carcinoma into a mesenchymal-like state provides cancer cells with the ability to disseminate locally and to metastasise. Different degrees of epithelial–mesenchymal transition (EMT) have been found to occur in carcinomas from breast, colon and ovarian carcinoma (OC), among others. Numerous studies have focused on bona fide epithelial and mesenchymal states but rarely on intermediate states. In this study, we describe a model system for appraising the spectrum of EMT using 43 well-characterised OC cell lines. Phenotypic EMT characterisation reveals four subgroups: Epithelial, Intermediate E, Intermediate M and Mesenchymal, which represent different epithelial–mesenchymal compositions along the EMT spectrum. In cell-based EMT-related functional studies, OC cells harbouring an Intermediate M phenotype are characterised by high N-cadherin and ZEB1 expression and low E-cadherin and ERBB3/HER3 expression and are more anoikis-resistant and spheroidogenic. A specific Src-kinase inhibitor, Saracatinib (AZD0530), restores E-cadherin expression in Intermediate M cells in in vitro and in vivo models and abrogates spheroidogenesis. We show how a 33-gene EMT Signature can sub-classify an OC cohort into four EMT States correlating with progression-free survival (PFS). We conclude that the characterisation of intermediate EMT states provides a new approach to better define EMT. The concept of the EMT Spectrum allows the utilisation of EMT genes as predictive markers and the design and application of therapeutic targets for reversing EMT in a selective subgroup of patients.
Purpose: KRAS is among the most commonly mutated oncogene in cancer including non–small cell lung cancer (NSCLC). In early clinical trials, inhibitors targeting G12C-mutant KRAS have achieved responses in some patients with NSCLC. Possible intrinsic and acquired resistance mechanisms to KRAS G12C inhibitors are not fully elucidated and will likely become important to identify. Experimental Design: To identify potential resistance mechanisms, we defined the sensitivity of a panel of KRAS G12C–mutant lung cancer cell lines to a KRAS G12C inhibitor, AMG510. Gene set enrichment analyses were performed to identify pathways related to the sensitivity, which was further confirmed biochemically. In addition, we created two cell lines that acquired resistance to AMG510 and the underlying resistance mechanisms were analyzed. Results: KRAS expression and activation were associated with sensitivity to KRAS G12C inhibitor. Induction of epithelial-to-mesenchymal transition (EMT) led to both intrinsic and acquired resistance to KRAS G12C inhibition. In these EMT-induced cells, PI3K remained activated in the presence of KRAS G12C inhibitor and was dominantly regulated by the IGFR–IRS1 pathway. We found SHP2 plays a minimal role in the activation of the PI3K pathway in contrast to its critical role in the activation of the MAPK pathway. The combination of KRAS G12C inhibitor, PI3K inhibitor, and SHP2 inhibitor resulted in tumor regressions in mouse models of acquired resistance to AMG510. Conclusions: Our findings suggest that EMT is a cause of both intrinsic and acquired resistance by activating the PI3K pathway in the presence of KRAS G12C inhibitor.