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A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
Published on: March 8, 2022
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.
Abstract:
Melanoma is one of the leading cancer types treated with immune checkpoint blockade (ICB), yet a substantial proportion of patients fail to respond. While tumor mutational burden and PD-L1 expression are established ICB biomarkers, they leave large gaps in predictive accuracy. Somatic copy number alterations (SCNAs) are pervasive in melanoma but their role in shaping the tumor immune microenvironment (TME) and predicting immunotherapy outcomes has been insufficiently characterized. Here we present KaryoTME, an integrated computational framework that systematically links SCNAs to immune phenotypes using genomic, transcriptomic, and clinical data from over 15,000 patients. Applying this framework to skin melanoma (SKCM) within a pan-cancer context, we identify arm-level chromosome 1q gain and 9p loss as the most prominent SCNA events associated with an immune-cold tumor microenvironment. These alterations act through distinct mechanisms: 9p loss preferentially depletes NK and CD8+ T cells, whereas 1q gain is more strongly associated with reduced anti-tumor immune cell infiltration. At the focal level, regions 1q21 and 1q42 show the strongest immune-suppressive associations in melanoma. Applying the TUSON-Immune algorithm, we predict candidate Tumor immune Suppressor Genes (TiSG) and immune Oncogenes (iOG) within these chromosomal regions, revealing enrichment for pathways including IFN signaling, JAK/STAT pathway, and immune-suppressive cytokine secretion. Critically, 1q gain emerged as a strong and independent predictor of poor survival following anti-PD-1/PD-L1 therapy across two independent clinical cohorts: the MSK-IMPACT cohort (p = 0.018, N = 77) and a large real-world Caris Life Sciences dataset (HR = 1.2, p = 0.002, N = 1,167). Multivariate analysis confirmed that 1q gain predicts poor outcomes independently of CD8+ T-cell infiltration, B-cell infiltration, tumor mutational burden, and PD-L1 status. These findings establish chromosome 1q gain as a compelling biomarker of immunotherapy resistance in melanoma and highlight aneuploidies as underappreciated drivers of immune evasion in this disease.
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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