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

Eliezer M Van Allen1,2,3, Diana Miao1,2, Bastian Schilling4,5

  • 1Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.

Science (New York, N.Y.)
|September 12, 2015
PubMed

Insights

Predicting response to ipilimumab in metastatic melanoma is challenging. While tumor mutational and neoantigen load correlate with benefit, specific neoantigen sequences do not reliably predict patient responders to immune checkpoint inhibitors.

Area of Science:

  • Oncology
  • Immunology
  • Genetics

Background:

  • Immune checkpoint inhibitors like ipilimumab targeting cytotoxic T lymphocyte-associated antigen-4 (CTLA-4) offer clinical benefits for metastatic melanoma.
  • Predictors of response to CTLA-4 blockade therapy are not fully understood.
  • Understanding the role of tumor neoantigens and the tumor microenvironment is crucial for predicting treatment outcomes.

Purpose of the Study:

  • To investigate the association between tumor-specific neoantigens, tumor microenvironment alterations, and clinical response to ipilimumab in metastatic melanoma patients.
  • To identify molecular determinants of response and resistance to immune checkpoint inhibitors.

Main Methods:

  • Whole-exome sequencing of pretreatment melanoma tumor biopsies and matched germline DNA from 110 patients.
  • Transcriptome analysis of pretreatment tumor samples from 40 of these patients.
  • Analysis of overall mutational load, neoantigen load, and immune microenvironment markers.

Main Results:

  • Overall mutational load, neoantigen load, and expression of cytolytic markers were significantly associated with clinical benefit.
  • No specific recurrent neoantigen peptide sequences were identified as predictors of patient response.
  • Integrated molecular analysis of larger patient cohorts may be necessary.

Conclusions:

  • While tumor neoantigen load and immune microenvironment markers correlate with response to ipilimumab, they are insufficient for predicting responders.
  • Identifying robust determinants of response and resistance to immune checkpoint inhibitors requires comprehensive molecular characterization of extensive patient cohorts.

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