Ontology highlight
ABSTRACT:
SUBMITTER: Choudhury AD
PROVIDER: S-EPMC6635068 | biostudies-literature | 2019 Jul
REPOSITORIES: biostudies-literature
Choudhury Atish D AD Beltran Himisha H
Clinical cancer research : an official journal of the American Association for Cancer Research 20190517 14
Capturing both genomic and nongenomic mechanisms of retinoblastoma gene dysfunction has potential to improve risk stratification and patient selection for biomarker-driven therapy. A 186-gene expression signature is capable of identifying Rb loss across cancer types, providing a new framework for assessing Rb dysfunction based on transcriptome data.<i>See related article by Chen et al., p. 4290</i>. ...[more]