Unknown

Dataset Information

0

A novel embryonic plasticity gene signature that predicts metastatic competence and clinical outcome.


ABSTRACT: Currently, very few prognosticators accurately predict metastasis in cancer patients. In order to complete the metastatic cascade and successfully colonize distant sites, carcinoma cells undergo dynamic epithelial-mesenchymal-transition (EMT) and its reversal, mesenchymal-epithelial-transition (MET). While EMT-centric signatures correlate with response to therapy, they are unable to predict metastatic outcome. One reason is due to the wide range of transient phenotypes required for a tumor cell to disseminate and recreate a similar histology at distant sites. Since such dynamic cellular processes are also seen during embryo development (epithelial-like epiblast cells undergo transient EMT to generate the mesoderm, which eventually redifferentiates into epithelial tissues by MET), we sought to utilize this unique and highly conserved property of cellular plasticity to predict metastasis. Here we present the identification of a novel prognostic gene expression signature derived from mouse embryonic day 6.5 that is representative of extensive cellular plasticity, and predicts metastatic competence in human breast tumor cells. This signature may thus complement conventional clinical parameters to offer accurate prediction for outcome among multiple classes of breast cancer patients.

SUBMITTER: Soundararajan R 

PROVIDER: S-EPMC4485318 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

A novel embryonic plasticity gene signature that predicts metastatic competence and clinical outcome.

Soundararajan Rama R   Paranjape Anurag N AN   Barsan Valentin V   Chang Jeffrey T JT   Mani Sendurai A SA  

Scientific reports 20150630


Currently, very few prognosticators accurately predict metastasis in cancer patients. In order to complete the metastatic cascade and successfully colonize distant sites, carcinoma cells undergo dynamic epithelial-mesenchymal-transition (EMT) and its reversal, mesenchymal-epithelial-transition (MET). While EMT-centric signatures correlate with response to therapy, they are unable to predict metastatic outcome. One reason is due to the wide range of transient phenotypes required for a tumor cell  ...[more]

Similar Datasets

2017-12-15 | E-MTAB-4969 | biostudies-arrayexpress
| S-EPMC4149277 | biostudies-literature
2021-12-19 | PXD028335 | Pride
| S-EPMC4949334 | biostudies-literature
| S-EPMC5400579 | biostudies-literature
| S-EPMC8991122 | biostudies-literature
2020-01-01 | GSE133014 | GEO
| S-EPMC2662705 | biostudies-literature
| S-EPMC5808042 | biostudies-literature
| S-EPMC7163092 | biostudies-literature