Biomarkers for Predicting Immunotherapy Efficacy

tibbionko-17-1-kapak

Fahrettin DUYMUŞa , Taha BAHSİb
aKonya City Hospital, Clinic of Medical Genetics, Konya, Türkiye
bAnkara Etlik City Hospital, Clinic of Medical Genetics, Ankara, Türkiye

Duymuş F, Bahsi T. Biomarkers for predicting immunotherapy efficacy. In: Şendur MAN, ed. Current Immunotherapy Landscape for Solid Tumors. 1st ed. Ankara: Türkiye Klinikleri; 2024. p.5-11.

ABSTRACT
In recent years, immunotherapy has become a significant and appealing approach in cancer treatment, representing an innovative therapeutic regimen. While immune response is a focal point of cancer treatment, achieving durable responses in all cancer patients during therapy is challenging due to the diversity and dynamic nature of the immune system, as well as tumor heterogeneity. Biomarkers are biological indicators that can be used to select patients for systemic anticancer treatments like immunotherapy. Immune checkpoint inhibitor-based immunotherapy, which is one of the strategies applied in cancer immunotherapy, has opened new horizons in cancer treatment, offering a potent and evolving approach against cancer that can be combined with chemotherapy, radiotherapy, and surgery. Nevertheless, this therapeutic revolution has also increased the need for biomarkers that can better identify patients with the highest likelihood of benefiting from immune checkpoint inhibitors. Here, we aim to provide a general overview of clinically predictive biomarkers for determining the effectiveness of immune checkpoint-based immunotherapy.

Keywords: Immunotherapy; genetics, medical; human genetics

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