Hunt for the tipping point during endocrine resistance process in breast cancer by dynamic network biomarkers.

ABSTRACT: Acquired drug resistance is the major reason why patients fail to respond to cancer therapies. It is a challenging task to determine the tipping point of endocrine resistance and detect the associated molecules. Derived from new systems biology theory, the dynamic network biomarker (DNB) method is designed to quantitatively identify the tipping point of a drastic system transition and can theoretically identify DNB genes that play key roles in acquiring drug resistance. We analyzed time-course mRNA sequence data generated from the tamoxifen-treated estrogen receptor (ER)-positive MCF-7 cell line, and identified the tipping point of endocrine resistance with its leading molecules. The results show that there is interplay between gene mutations and DNB genes, in which the accumulated mutatio

SUBMITTER: Liu R 

PROVIDER: S-EPMC7727267 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature