Summary: This resource provides an overview of the various cancer biomarkers used to predict response to immunotherapy.
By JAX Clinical Education | May 2026
To identify candidates for immunotherapy, multiple biomarkers may be useful for clinicians and patients, including PD-L1, microsatellite instability (MSI), mismatch repair deficiency (dMMR), and tumor mutation burden (TMB).
While these biomarkers can help identify patients who may benefit from immunotherapy, they are surrogate indicators of response to immunotherapy. They are not 100% predictive of a favorable response to any single agent, or immunotherapies in general.
Not all biomarkers are included on every test; multiple tests may need to be requested.
Explore Cancer Biomarker Testing (CME|CNE). Learn about benefits, limitations, and challenges of using large biomarker tests.
ESMO Factsheets on Biomarkers (Oncology Pro). Factsheets about common biomarkers that discuss prognostic and predictive value, testing recommendations, and patient indications.
Wang SL, Chan TA. Navigating established and emerging biomarkers for immune checkpoint inhibitor therapy. Cancer Cell. 2025;43(4):641-664. doi:10.1016/j.ccell.2025.03.006
All information in this resource is provided for educational purposes only.