- Anagnostou, Valsamo;
- Bruhm, Daniel C;
- Niknafs, Noushin;
- White, James R;
- Shao, Xiaoshan M;
- Sidhom, John William;
- Stein, Julie;
- Tsai, Hua-Ling;
- Wang, Hao;
- Belcaid, Zineb;
- Murray, Joseph;
- Balan, Archana;
- Ferreira, Leonardo;
- Ross-Macdonald, Petra;
- Wind-Rotolo, Megan;
- Baras, Alexander S;
- Taube, Janis;
- Karchin, Rachel;
- Scharpf, Robert B;
- Grasso, Catherine;
- Ribas, Antoni;
- Pardoll, Drew M;
- Topalian, Suzanne L;
- Velculescu, Victor E
In this study, we incorporate analyses of genome-wide sequence and structural alterations with pre- and on-therapy transcriptomic and T cell repertoire features in immunotherapy-naive melanoma patients treated with immune checkpoint blockade. Although tumor mutation burden is associated with improved treatment response, the mutation frequency in expressed genes is superior in predicting outcome. Increased T cell density in baseline tumors and dynamic changes in regression or expansion of the T cell repertoire during therapy distinguish responders from non-responders. Transcriptome analyses reveal an increased abundance of B cell subsets in tumors from responders and patterns of molecular response related to expressed mutation elimination or retention that reflect clinical outcome. High-dimensional genomic, transcriptomic, and immune repertoire data were integrated into a multi-modal predictor of response. These findings identify genomic and transcriptomic characteristics of tumors and immune cells that predict response to immune checkpoint blockade and highlight the importance of pre-existing T and B cell immunity in therapeutic outcomes.