University of Michigan and MS Bioworks collaborate on development of an EMT-associated secretory phenotype (EASP) for prediction of survival in lung cancer patients
A recent study reported in Carcinogenesis by Venkat Keshamouni and colleagues at the University of Michigan, in collaboration with MS Bioworks, demonstrates the that integrative analysis of the critical biological process of epithelial–mesenchymal transition (EMT) provides mechanism-based and clinically relevant biomarkers with significant prognostic value. The study utilized a transforming growth factor-β-induced cell culture model of EMT, and quantitatively profiled differentially secreted proteins by GeLC/MS. Integrating this protein level data with the corresponding transcriptome, an EMT-associated secretory phenotype (EASP) was derived comprising of proteins that were differentially upregulated both at protein and mRNA levels. Four independent primary tumor-derived gene expression data sets of lung cancers were used for survival analysis based on a 97 gene EASP and 20 gene rEASP. These predicted survival of both adenocarcinoma and squamous carcinoma patients. More importantly, it predicted survival in the early-stage cancers.