Unknown

Dataset Information

Addressing cellular heterogeneity in tumor and circulation for refined prognostication.


ABSTRACT: Despite pronounced genomic and transcriptomic heterogeneity in non-small-cell lung cancer (NSCLC) not only between tumors, but also within a tumor, validation of clinically relevant gene signatures for prognostication has relied upon single-tissue samples, including 2 commercially available multigene tests (MGTs). Here we report an unanticipated impact of intratumor heterogeneity (ITH) on risk prediction of recurrence in NSCLC, underscoring the need for a better genomic strategy to refine prognostication. By leveraging label-free, inertial-focusing microfluidic approaches in retrieving circulating tumor cells (CTCs) at single-cell resolution, we further identified specific gene signatures with distinct expression profiles in CTCs from patients with differing metastatic potential. Notably,

SUBMITTER: Lim SB 

PROVIDER: S-EPMC6731691 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature