Identification of an oxidative stress-related prognostic signature, tumor immune microenvironment, and development of subtypes for breast cancer patients receiving neoadjuvant chemotherapy.

ABSTRACT: The formation of tumors and the reaction to anticancer treatments are significantly influenced by the regulation of oxidative stress. Nevertheless, it is still unknown how useful oxidative stress-related genes are for forecasting how well a treatment will work and the prognosis of breast cancer. OSRG features were built using least absolute shrinkage and selection operator regression algorithm. The prognostic performance was evaluated via Kaplan-Meier analysis, receiver operating characteristic curves, and multivariate Cox regression in trainingand validation cohorts. Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) was used to detect the expression level of oxidative stress-related genes in the features. Furthermore, we investigated the correlation between OSRG featu

SUBMITTER: Shi Z 

PROVIDER: S-EPMC12688806 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature