A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer.

ABSTRACT:

Background

We developed and validated a prognostic and predictive computational pathology risk score (CoRiS) using H&E stained tissue images from patients with early-stage non-small cell lung cancer (ES-NSCLC).

Methods

1330 patients with ES-NSCLC were acquired from 3 independent sources and divided into four cohorts D_1-4. D₁ comprised 100 surgery treated patients and was used to identify prognostic features via an elastic-net Cox model to predict overall and disease-free survival. CoRiS was constructed using the Cox model coefficients for the top features. The prognostic performance of CoRiS was evaluated on D₂ (N=331), D₃ (N=657) and D₄ (N=242). Patients from D₂ and D₃ which comprised surgery + che

SUBMITTER: Wang X 

PROVIDER: S-EPMC8282972 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature