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Signature That Predicts Side Effects from Anti-PD1/PDL1 Checkpoint Therapy

Findings represent an important step toward personalizing checkpoint therapy

University of California - Los Angeles
Published:Feb 03, 2022
|2 min read
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Investigators from University of California Los Angles (UCLA) Jonsson Comprehensive Cancer Center have identified a germline biomarker signature that successfully predicts which patients will suffer serious side effects that occur in up to three in ten patients on anti-PD1/PDL1 therapy, a promising new approach to treating cancer.

Checkpoint inhibitors that enhance the immune system against PD-1 and PD-L1 show great promise, having substantially improved the prognosis for patients with several advanced cancers, including melanoma, renal cell carcinoma, non-small cell lung cancer, Hodgkin lymphoma, and head and neck cancer.

As promising as they are, these therapies are also associated with a unique set of side effects, called immune-related adverse events (irAEs), believed to be the result of an immune system overstimulated by the therapy. While these side effects are generally treatable, they can in rare cases be very serious, even fatal. In addition, there’s currently no way to predict which patients will develop irAEs before starting treatment, requiring clinicians to watch and wait after treatment begins. Notably, the toxicity from checkpoint therapy does not appear to be associated with a patient’s cancer or their response to the treatment, supporting the idea that it is a patient-specific reaction.

With a growing need to identify which patients are at risk for irAEs, investigators led by Joanne B. Weidhaas, MD, PhD, MSM, of UCLA Jonsson Comprehensive Cancer Center, vice chair Department of Radiation Oncology, and director Division of Molecular and Cellular Oncology at UCLA Health, examined DNA signatures in 99 patients, looking for patterns that would indicate if inherited DNA biomarkers would predict toxicity. In findings published in Journal for Immunotherapy of Cancer, they report that they were able to identify a biomarker panel that predicts toxicity with 80 percent accuracy.

“These findings represent an important step toward personalizing checkpoint therapy, the use of which is growing rapidly,” said Weidhaas. “While we are still at the early stages of understanding the mechanisms by which these germline mutations regulate immunity and the systemic stress response, our repeated findings that these variant panels can predict systemic toxic responses to cancer therapy are potentially paradigm-shifting.”

The authors of the study say applying these findings may improve clinicians’ ability to offer truly personalized cancer therapy by enabling consideration of toxicity along with other data that can predict patients’ response to treatment. “As the efficacy of cancer therapy improves, resulting in higher and higher rates of long-term cancer control,” they write, “cure without harm will only become an increasingly important endpoint.”

- This press release was originally published on the University of California - Los Angeles website