Profiling regulatory T lymphocytes within the tumor microenvironment of breast cancer via radiomics.

ABSTRACT:

Objective

To generate an image-driven biomarker (Rad_score) to predict tumor-infiltrating regulatory T lymphocytes (Treg) in breast cancer (BC).

Methods

Overall, 928 BC patients were enrolled from the Cancer Genome Atlas (TCGA) for survival analysis; MRI (n = 71 and n = 30 in the training and validation sets, respectively) from the Cancer Imaging Archive (TCIA) were retrieved and subjected to repeat least absolute shrinkage and selection operator for feature reduction. The radiomic scores (rad_score) for Treg infiltration estimation were calculated via support vector machine (SVM) and logistic regression (LR) algorithms, and validated on the remaining patients.

Results

Landmark analysis indicated Treg infiltration was a risk factor for BC patients in the first 5 years

SUBMITTER: Jiang W 

PROVIDER: S-EPMC10757114 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature