Immunological significance of prognostic markers for breast cancer based on alternative splicing.

ABSTRACT:

Objectives

Breast cancer (BC) currently has the highest incidence rate. Epigenetic regulation could alter gene expression and is closely related to BC initiation. This study aimed to develop an alternative splicing (AS)-based prognostic signature and clarify its relevance to the tumor immune microenvironment (TIME) status and immunotherapy of BC.

Methods

Cox regression analysis was conducted to screen for prognosis-related AS events. Thereafter, LASSO with Cox regression analyses was designed to construct a prognostic signature model. Kaplan-Meier survival analysis, receiver operating characteristic curves, and proportional hazard model were then utilized to confirm the prognostic value. Multiple methods were employed to reveal the context of TIME in BC. QPCR, western blotti

SUBMITTER: Xu R 

PROVIDER: S-EPMC9274553 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature