Genomic correlates of response to CTLA-4 blockade in metastatic melanoma

Eliezer M. Van Allen(Broad Institute), Diana Miao(Broad Institute), Bastian Schilling(German Cancer Research Center), Sachet A. Shukla(Broad Institute), Christian U. Blank(The Netherlands Cancer Institute), Lisa Zimmer(German Cancer Research Center), Antje Sucker(German Cancer Research Center), Uwe Hillen(German Cancer Research Center), Marnix H. Geukes Foppen(The Netherlands Cancer Institute), Simone M. Goldinger(University Hospital of Zurich), Jochen Utikal(German Cancer Research Center), Jessica C. Hassel(Heidelberg University), Benjamin Weide(University Children's Hospital Tübingen), Katharina C. Kaehler(Christian-Albrechts-Universität zu Kiel), Carmen Loquai(Johannes Gutenberg University Mainz), Peter Mohr(Elbe Kliniken Stade-Buxtehude), Ralf Gutzmer(Medizinische Hochschule Hannover), Reinhard Dummer(University Hospital of Zurich), Stacey Gabriel(Broad Institute), Catherine J. Wu(Broad Institute), Dirk Schadendorf(German Cancer Research Center), Levi A. Garraway(Broad Institute)
Science
September 11, 2015
Cited by 2,957Open Access
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Abstract

Monoclonal antibodies directed against cytotoxic T lymphocyte-associated antigen-4 (CTLA-4), such as ipilimumab, yield considerable clinical benefit for patients with metastatic melanoma by inhibiting immune checkpoint activity, but clinical predictors of response to these therapies remain incompletely characterized. To investigate the roles of tumor-specific neoantigens and alterations in the tumor microenvironment in the response to ipilimumab, we analyzed whole exomes from pretreatment melanoma tumor biopsies and matching germline tissue samples from 110 patients. For 40 of these patients, we also obtained and analyzed transcriptome data from the pretreatment tumor samples. Overall mutational load, neoantigen load, and expression of cytolytic markers in the immune microenvironment were significantly associated with clinical benefit. However, no recurrent neoantigen peptide sequences predicted responder patient populations. Thus, detailed integrated molecular characterization of large patient cohorts may be needed to identify robust determinants of response and resistance to immune checkpoint inhibitors.


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