Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature.

ABSTRACT:

Background

Cancer cells are known to display varying degrees of metastatic propensity, but the molecular basis underlying such heterogeneity remains unclear. Our aims in this study were to (i) elucidate prognostic subtypes in primary tumors based on an epithelial-to-mesenchymal-to-amoeboid transition (EMAT) continuum that captures the heterogeneity of metastatic propensity and (ii) to more comprehensively define biologically informed subtypes predictive of breast cancer metastasis and survival in lymph node-negative (LNN) patients.

Methods

We constructed a novel metastasis biology-based gene signature (EMAT) derived exclusively from cancer cells induced to undergo either epithelial-to-mesenchymal transition (EMT) or mesenchymal-to-amoeboid transition (MAT) to gauge their met

SUBMITTER: Emad A 

PROVIDER: S-EPMC7341640 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature