Bioinformatic approaches to augment study of epithelial-to-mesenchymal transition in lung cancer.

ABSTRACT: Bioinformatic approaches are intended to provide systems level insight into the complex biological processes that underlie serious diseases such as cancer. In this review we describe current bioinformatic resources, and illustrate how they have been used to study a clinically important example: epithelial-to-mesenchymal transition (EMT) in lung cancer. Lung cancer is the leading cause of cancer-related deaths and is often diagnosed at advanced stages, leading to limited therapeutic success. While EMT is essential during development and wound healing, pathological reactivation of this program by cancer cells contributes to metastasis and drug resistance, both major causes of death from lung cancer. Challenges of studying EMT include its transient nature, its molecular and phenotypic heterog

SUBMITTER: Beck TN 

PROVIDER: S-EPMC4187119 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature