Overcoming resistance to immunotherapy
Because only a subset of cancer patients benefit from immunotherapy, there is a growing need to identify predictive biomarkers and intrinsic resistance mechanisms to improve clinical efficacy.
We recently developed a network approach which has successfully identified putative MHC1 suppressor genes that are associated with anti-PD1/PDL1 resistance. We have performed in vivo CRISPR screening of the suppressor genes in five distinct cancer types (GBM, prostate, melanoma, colon, and pancreatic) and identified druggable targets for melanoma, pancreatic cancer and colon cancer. Combination therapy with anti-PD1 achieved tumor control for pancreatic cancer, colon cancer and melanoma. Our results validated the computation prediction model and suggested this approach can be further applied to other cancer types to develop novel combination immunotherapy.