作者
Stephen L. Shiao,Kenneth Gouin,Nathan Ing,Alice Y. Ho,Reva Basho,Aagam Shah,Richard H. Mebane,David Zitser,Andrew Martinez,Natalie-Ya Mevises,Bassem Ben-Cheikh,Regina M. Henson,Monica Mita,Philomena F. McAndrew,Scott Karlan,Armando E. Giuliano,Alice Chung,Farin Amersi,Catherine Dang,Heather Richardson,Wonwoo Shon,Farnaz Dadmanesh,M. Burnison,Amin Mirhadi,Zachary S. Zumsteg,Rachel Choi,Madison Davis,Joseph Lee,Dustin Rollins,Cynthia Martin,Negin Habibi Khameneh,Heather L. McArthur,Simon Knott
摘要
Summary
Strategies are needed to better identify patients that will benefit from immunotherapy alone or who may require additional therapies like chemotherapy or radiotherapy to overcome resistance. Here we employ single-cell transcriptomics and spatial proteomics to profile triple negative breast cancer biopsies taken at baseline, after one cycle of pembrolizumab, and after a second cycle of pembrolizumab given with radiotherapy. Non-responders lack immune infiltrate before and after therapy and exhibit minimal therapy-induced immune changes. Responding tumors form two groups that are distinguishable by a classifier prior to therapy, with one showing high major histocompatibility complex expression, evidence of tertiary lymphoid structures, and displaying anti-tumor immunity before treatment. The other responder group resembles non-responders at baseline and mounts a maximal immune response, characterized by cytotoxic T cell and antigen presenting myeloid cell interactions, only after combination therapy, which is mirrored in a murine model of triple negative breast cancer.