Evaluation of tumor immune contexture among intrinsic molecular subtypes helps to predict outcome in early breast cancer.

ABSTRACT:

Background

The prognosis of early breast cancer is linked to clinic-pathological stage and the molecular characteristics of intrinsic tumor cells. In some patients, the amount and quality of tumor-infiltrating immune cells appear to affect long term outcome. We aimed to propose a new tool to estimate immune infiltrate, and link these factors to patient prognosis according to breast cancer molecular subtypes.

Methods

We performed in silico analyses in more than 2800 early breast cancer transcriptomes with corresponding clinical annotations. We first developed a new gene expression deconvolution algorithm that accurately estimates the quantity of immune cell populations (tumor immune contexture, TIC) in tumors. Then, we studied associations between these immune profiles and re

SUBMITTER: Klopfenstein Q 

PROVIDER: S-EPMC8183202 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature