Ontology highlight
ABSTRACT:
SUBMITTER: Sfakianos JP
PROVIDER: S-EPMC7242345 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
Nature communications 20200521 1
Tumor heterogeneity is common in cancer, however recent studies have applied single gene expression signatures to classify bladder cancers into distinct subtypes. Such stratification assumes that a predominant transcriptomic signature is sufficient to predict progression kinetics, patient survival and treatment response. We hypothesize that such static classification ignores intra-tumoral heterogeneity and the potential for cellular plasticity occurring during disease development. We have conduc ...[more]