Identification of immune-related prognostic biomarkers in triple-negative breast cancer.

ABSTRACT:

Background

Triple-negative breast cancer (TNBC), a type of breast cancer, lacks immune-related markers that can be used for prognosis or prediction. Therefore, we created a predictive framework for TNBC using a risk assessment.

Methods

Our previous study group consisted of 360 individuals who were diagnosed with TNBC through pathology using RNA sequencing and had clinical data from Fudan University Shanghai Cancer Center (FUSCC). A risk scoring model was constructed using the Cox regression method with the least absolute shrinkage and selection operator (LASSO). A multivariate Cox regression analysis was utilized to develop the prediction model, which was then assessed using the consistency index and calibration plots. The validation cohort of The Cancer Genome Atlas (TCGA)

SUBMITTER: Song XQ 

PROVIDER: S-EPMC11082668 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature