miRNA-Mediated KHSRP Silencing Rewires Distinct Post-transcriptional Programs during TGF-beta-Induced Epithelial-to-Mesenchymal Transition
CELL REPORTS
Authors: Puppo, Margherita; Bucci, Gabriele; Rossi, Martina; Giovarelli, Matteo; Bordo, Domenico; Moshiri, Arfa; Gorlero, Franco; Gherzi, Roberto; Briata, Paola
Abstract
Epithelial-to-mesenchymal transition (EMT) confers several traits to cancer cells that are required for malignant progression. Here, we report that miR-27b-3p-mediated silencing of the single-strand RNA binding protein KHSRP is required for transforming growth factor b (TGF-beta)-induced EMT in mammary gland cells. Sustained KHSRP expression limits TGF-beta-dependent induction of EMT factors and cell migration, whereas its knockdown in untreated cells mimics TGF-beta-induced EMT. Genome-wide sequencing analyses revealed that KHSRP controls (1) levels of mature miR-192-5p, a microRNA that targets a group of EMT factors, and (2) alternative splicing of a cohort of pre-mRNAs related to cell adhesion and motility including Cd44 and Fgfr2. KHSRP belongs to a ribonucleoprotein complex that includes hnRNPA1, and the two proteins cooperate in promoting epithelial-type exon usage of select pre-mRNAs. Thus, TGF-beta-induced KHSRP silencing is central in a pathway leading to gene-expression changes that contribute to the cellular changes linked to EMT.
Co-expression analysis of pancreatic cancer proteome reveals biology and prognostic biomarkers
CELLULAR ONCOLOGY
Authors: Mantini, G.; Valles, A. M.; Le Large, T. Y. S.; Capula, M.; Funel, N.; Pham, T., V; Piersma, S. R.; Kazemier, G.; Bijlsma, M. F.; Giovannetti, E.; Jimenez, C. R.
Abstract
Purpose Despite extensive biological and clinical studies, including comprehensive genomic and transcriptomic profiling efforts, pancreatic ductal adenocarcinoma (PDAC) remains a devastating disease, with a poor survival and limited therapeutic options. The goal of this study was to assess co-expressed PDAC proteins and their associations with biological pathways and clinical parameters. Methods Correlation network analysis is emerging as a powerful approach to infer tumor biology from omics data and to prioritize candidate genes as biomarkers or drug targets. In this study, we applied a weighted gene co-expression network analysis (WGCNA) to the proteome of 20 surgically resected PDAC specimens (PXD015744) and confirmed its clinical value in 82 independent primary cases. Results Using WGCNA, we obtained twelve co-expressed clusters with a distinct biology. Notably, we found that one module enriched for metabolic processes and epithelial-mesenchymal-transition (EMT) was significantly associated with overall survival (p = 0.01) and disease-free survival (p = 0.03). The prognostic value of three proteins (SPTBN1, KHSRP and PYGL) belonging to this module was confirmed using immunohistochemistry in a cohort of 82 independent resected patients. Risk score evaluation of the prognostic signature confirmed its association with overall survival in multivariate analyses. Finally, immunofluorescence analysis confirmed co-expression of SPTBN1 and KHSRP in Hs766t PDAC cells. Conclusions Our WGCNA analysis revealed a PDAC module enriched for metabolic and EMT-associated processes. In addition, we found that three of the proteins involved were associated with PDAC survival.