A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study.

ABSTRACT:

Background

Intratumoural heterogeneity has been previously shown to be related to clonal evolution and genetic instability and associated with tumour progression. Phenotypically, it is reflected in the diversity of appearance and morphology within cell populations. Computer-extracted features relating to tumour cellular diversity on routine tissue images might correlate with outcome. This study investigated the prognostic ability of computer-extracted features of tumour cellular diversity (CellDiv) from haematoxylin and eosin (H&E)-stained histology images of non-small cell lung carcinomas (NSCLCs).

Methods

In this multicentre, retrospective study, we included 1057 patients with early-stage NSCLC with corresponding diagnostic histology slides and overall survival information

SUBMITTER: Lu C 

PROVIDER: S-EPMC7646741 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature