Specific Aneuploidies Predict Immune Evasion and Poor Immunotherapy Response in Melanoma

Lizabeth Katsnelson1,2, Shini Chen1, Ze Chen1

  • 1Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY, USA.

Insights

Chromosome 1q gain is linked to immune evasion and poor response to immunotherapy in melanoma. This finding identifies a new biomarker for predicting treatment outcomes in cancer patients.

Area of Science:

  • Genomics
  • Cancer Immunology
  • Bioinformatics

Background:

  • Melanoma treatment with immune checkpoint blockade (ICB) shows variable patient response.
  • Existing biomarkers like tumor mutational burden and PD-L1 expression have limitations in predicting ICB efficacy.
  • Somatic copy number alterations (SCNAs) in melanoma are common but their impact on the tumor immune microenvironment (TME) and immunotherapy response is not well understood.

Purpose of the Study:

  • To develop and apply a computational framework (KaryoTME) to link SCNAs with immune phenotypes in melanoma.
  • To identify specific SCNA events associated with immune evasion and predict immunotherapy outcomes.
  • To investigate the role of aneuploidies in driving immune evasion in melanoma.

Main Methods:

  • Integrated analysis of genomic, transcriptomic, and clinical data from over 15,000 patients.
  • Application of the KaryoTME framework to skin melanoma (SKCM) data.
  • Utilized the TUSON-Immune algorithm to predict candidate Tumor immune Suppressor Genes (TiSG) and immune Oncogenes (iOG).
  • Validated findings in independent clinical cohorts (MSK-IMPACT and Caris Life Sciences).

Main Results:

  • Chromosome 1q gain and 9p loss were identified as key SCNA events associated with an immune-cold TME.
  • 9p loss reduced NK and CD8+ T cell populations, while 1q gain decreased anti-tumor immune cell infiltration.
  • Chromosome 1q gain independently predicted poor survival in patients receiving anti-PD-1/PD-L1 therapy.
  • 1q gain remained a significant predictor irrespective of CD8+ T cell infiltration, B cell infiltration, tumor mutational burden, or PD-L1 status.

Conclusions:

  • Chromosome 1q gain is a significant biomarker for predicting immunotherapy resistance in melanoma.
  • SCNAs, particularly aneuploidies, are critical underappreciated drivers of immune evasion in melanoma.
  • KaryoTME provides a framework for understanding SCNA-driven immune phenotypes and predicting treatment response.

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