Development and validation of an integrative pan-solid tumor predictor of PD-1/PD-L1 blockade benefit.

Background: Anti-PD-1 and PD-L1 (collectively PD-[L]1) therapies are approved for many advanced solid tumors. Biomarkers beyond PD-L1 immunohistochemistry, microsatellite instability, and tumor mutation burden (TMB) may improve benefit prediction.

Methods: Using treatment data and genomic and transcriptomic tumor tissue profiling from an observational trial (NCT03061305), we developed Immunotherapy Response Score (IRS), a pan-tumor predictive model of PD-(L)1 benefit.

A Phase II Study of Durvalumab in Combination with Tremelimumab in Patients with Rare Cancers.

Lessons Learned: Disease control with signals of response were demonstrated, which should lead to future validating clinical trials using checkpoint inhibitors in this underserved rare malignancy population. Although the study of single types of rare cancers is practically challenging, clinical trial designs that aggregate such patients into cohorts treated similarly are feasible, even in the community setting.

Background: Patients with rare cancers are an underserved population with limited access to clinical trials aside from phase I trials in the refractory setting.