Computer-assisted quantification of tumor-associated collagen signatures to improve the prognosis prediction of breast cancer.

ABSTRACT:

Background

Collagen fibers play an important role in tumor initiation, progression, and invasion. Our previous research has already shown that large-scale tumor-associated collagen signatures (TACS) are powerful prognostic biomarkers independent of clinicopathological factors in invasive breast cancer. However, they are observed on a macroscale and are more suitable for identifying high-risk patients. It is necessary to investigate the effect of the corresponding microscopic features of TACS so as to more accurately and comprehensively predict the prognosis of breast cancer patients.

Methods

In this retrospective and multicenter study, we included 942 invasive breast cancer patients in both a training cohort (n = 355) and an internal validation cohort (n = 334) from one clin

SUBMITTER: Xi G 

PROVIDER: S-EPMC8600902 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature