Research Paper Volume 16, Issue 4 pp 3531—3553
Senescence-related genes analysis in breast cancer reveals the immune microenvironment and implications for immunotherapy
- 1 Department of Breast Surgery, The First Affiliated Hospital, Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- 2 Department of Neonatal Intensive Care Unit, The Second Affiliated Hospital, Anhui Medical University, Hefei, China
- 3 Department of Burn and Plastic Surgery, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
Received: July 13, 2023 Accepted: January 9, 2024 Published: February 14, 2024
https://doi.org/10.18632/aging.205544How to Cite
Copyright: © 2024 Zhong et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Despite the advent of precision therapy for breast cancer (BRCA) treatment, some individuals are still unable to benefit from it and have poor survival prospects as a result of the disease’s high heterogeneity. Cell senescence plays a crucial role in the tumorigenesis, progression, and immune regulation of cancer and has a major impact on the tumor microenvironment. To find new treatment strategies, we aimed to investigate the potential significance of cell senescence in BRCA prognosis and immunotherapy. We created a 9-gene senescence-related signature. We evaluated the predictive power and the role of signatures in the immune microenvironment and infiltration. In vitro tests were used to validate the expression and function of the distinctive critical gene ACTC1. Our risk signature allows BRCA patients to receive a Predictive Risk Signature (PRS), which may be used to further categorize a patient's response to immunotherapy. Compared to conventional clinicopathological characteristics, PRS showed strong predictive efficacy and precise survival prediction. Moreover, PRS subgroups were examined for altered pathways, mutational patterns, and possibly useful medicines. Our research offers suggestions for incorporating senescence-based molecular classification into risk assessment and ICI therapy decision-making.