Development and validation of an inflammatory response-related signature in triple negative breast cancer for predicting prognosis and immunotherapy.

ABSTRACT:

Background

Inflammation is one of the most important characteristics of tumor tissue. Signatures based on inflammatory response-related genes (IRGs) can predict prognosis and treatment response in a variety of tumors. However, the clear function of IRGs in the triple negative breast cancer (TNBC) still needs to be explored.

Methods

IRGs clusters were discovered via consensus clustering, and the prognostic differentially expressed genes (DEGs) across clusters were utilized to develop a signature using a least absolute shrinkage and selection operator (LASSO). Verification analyses were conducted to show the robustness of the signature. The expression of risk genes was identified by RT-qPCR. Lastly, we formulated a nomogram to improve the clinical efficacy of our predictive to

SUBMITTER: Guo Y 

PROVIDER: S-EPMC10311032 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature