Biomarkers of related driver genes predict anti-tumor efficacy of immune checkpoint inhibitors

Autor: Shuai Jiang, Shuai Geng, Xinyu Luo, Can Zhang, Yang Yu, Mengfei Cheng, Shuo Zhang, Ning Shi, Mei Dong
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Frontiers in Immunology, Vol 13 (2022)
Druh dokumentu: article
ISSN: 1664-3224
DOI: 10.3389/fimmu.2022.995785
Popis: Cancer is a disease with high morbidity and mortality in the world. In the past, the main treatment methods for cancer patients were surgery, radiotherapy and chemotherapy. However, with early treatment, the recurrence rate of cancer is higher, and the drug resistance of cancer cells is faster. In recent years, with the discovery of immune escape mechanism of cancer cells, Immunotherapy, especially Immune Checkpoint Inhibitors (ICIs), has made a breakthrough in the treatment of solid tumors, significantly prolonging the overall survival time and disease-free progression in some solid tumors, and its clinical benefits are more prominent than those of traditional anti-tumor drugs, which has become the hope of cancer patients after the failure of multi-line therapy. More and more studies have shown that there is a correlation between cancer driving genes and the clinical benefits of ICIs treatment, and the therapeutic effects and adverse reactions of ICIs can be predicted by the status of driving genes. Therefore, screening potential biomarkers of people who may benefit from immunotherapy in order to maximize the therapeutic benefits is a top priority. This review systematically summarizes the cancer driving genes that may affect the clinical benefits of immune checkpoint inhibitors, and provides accurate scientific basis for clinical practice.
Databáze: Directory of Open Access Journals