腫瘤學(xué)

腫瘤學(xué)

來源出版物：Chinese Journal of Cancer， 2015， 34（1）：28-40

封面介紹：High-grade serous ovarian carcinoma is the most lethal gynecological malignancy.Understanding of the clinical behavior， response to therapy， and biology of the epithelial ovarian cancer and its mechanisms of progression is highlighted by 6 articles from Europe， the United States， and China in this special issue of Chinese Journal of Cancer.In the paper by Yan Sun et al， a master gene regulatory network was reviewed.The central node of this network， miR-506， has been shown to regulate epithelial-to-mesenchymal transition（EMT） and cellular senescence and inhibit cancer progression through multiple targets.（The original cover art is provided by Dr.Yan Sun at Tianjin Cancer Institute and Hospital.）

Key nodes of a microRNA network associated with the integrated mesenchymal subtype of high-grade serous ovarian cancer

Yan Sun， Fei Guo， Marina Bagnoli， et al.

Metastasis is the main cause of cancer mortality.One of the initiating events of cancer metastasis of epithelial tumors is epithelial-to-mesenchymal transition（EMT）， during which cells dedifferentiate from a relatively rigid cell structure/morphology to a flexible and changeable structure/morphology often associated with mesenchymal cells.The presence of EMT in human epithelial tumors is reflected by the increased expression of genes and levels of proteins that are preferentially present in mesenchymal cells.The combined presence of these genes forms the basis of mesenchymal gene signatures， which are the foundation for classifying a mesenchymal subtype of tumors.Indeed， tumor classification schemes that use clustering analysis of large genomic characterizations， like The Cancer Genome Atlas（TCGA）， have defined mesenchymal subtype in a number of cancer types， such as high-grade serous ovarian cancer and glioblastoma.However， recent analyses have shown that gene expression-based classifications of mesenchymal subtypes often do not associate with poor survival.This “paradox” can be ameliorated using integrated analysis that combines multiple data types.We recently found that integrating mRNA and microRNA（miRNA） data revealed an integrated mesenchymal subtype that is consistently associated with poor survival in multiple cohorts of patients with serousovarian cancer.This network consists of 8 major miRNAs and 214 mRNAs.Among the 8 miRNAs， 4 are known to be regulators of EMT.This review provides a summary of these 8 miRNAs， which were associated with the integrated mesenchymal subtype of serous ovarian cancer.

MicroRNA（miRNA）； epithelial-to-mesenchymal transition（EMT）； cancer， ovary； miR-506； miR-101