Genomic heterogeneity and ploidy identify patients with intrinsic resistance to PD-1 blockade in metastatic melanoma

The introduction of immune checkpoint blockade (ICB) has markedly improved outcomes for advanced melanoma. However, many patients develop resistance through unknown mechanisms. While combination ICB has improved response rate and progression-free survival, it substantially increases toxicity. Biomarkers to distinguish patients who would benefit from combination therapy versus aPD-1 remain elusive. We analyzed whole-exome sequencing of pretreatment tumors from four cohorts (<i>n</i> = 140) of ICB-naïve patients treated with aPD-1. High genomic heterogeneity and low ploidy robustly identified patients intrinsically resistant to aPD-1. To establish clinically actionable predictions, we optimized and validated a predictive model using ploidy and heterogeneity to confidently identify (90% PPV) patients with intrinsic resistance to and worse survival on aPD-1. We further observed that three of seven (43%) patients predicted to be intrinsically resistant to single-agent PD-1 ICB responded to combination ICB, suggesting that these patients may benefit disproportionately from combination ICB. These findings highlight the importance of heterogeneity and ploidy, nominating an approach toward clinical actionability.

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Publication Details

Journal
Science Advances
Published
2024-11-27
DOI
https://doi.org/10.1126/sciadv.adp4670
Citations
4
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
1.13
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article

Genomic heterogeneity and ploidy identify patients with intrinsic resistance to PD-1 blockade in metastatic melanoma

J. Jameson, William Ge, Haitham Elmarakeby, Bastian Schilling et al.
4 citations
Science Advances
Cancer Immunotherapy and Biomarkers
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article

Genomic heterogeneity and ploidy identify patients with intrinsic resistance to PD-1 blockade in metastatic melanoma

J. Jameson, William Ge, Haitham Elmarakeby, Bastian Schilling, Marta Holovatska, Genevieve Marie Boland, Karena Zhao, Yingxiao Shi, Keith T. Flaherty, Amy Y. Huang, Alexander Rösch, Dirk Schadendorf, Tyler J. Aprati, Eliezer M. Van Allen, Catherine H. Feng, Dennie T. Frederick, Catherine J. Wu, Elisabeth Livingstone, Cora A. Ricker, Marc Glettig, Samuel S. Freeman, Lisa Zimmer, Anne Zaremba, Elizabeth I. Buchbinder, Annette Wang, Shariq Madha, Soroush Saghafian, Michael P. Manos, Anita Giobbie‐Hurder, Giuseppe Tarantino, Brendan Reardon, Luc G.T. Morris, F. Stephen Hodi, Natalie I. Vokes, Rizwan Haq, Jihye Park, Jiajia Chen, David Liu, Andrew S. Lee
article en
4 citations

Abstract

The introduction of immune checkpoint blockade (ICB) has markedly improved outcomes for advanced melanoma. However, many patients develop resistance through unknown mechanisms. While combination ICB has improved response rate and progression-free survival, it substantially increases toxicity. Biomarkers to distinguish patients who would benefit from combination therapy versus aPD-1 remain elusive. We analyzed whole-exome sequencing of pretreatment tumors from four cohorts (<i>n</i> = 140) of ICB-naïve patients treated with aPD-1. High genomic heterogeneity and low ploidy robustly identified patients intrinsically resistant to aPD-1. To establish clinically actionable predictions, we optimized and validated a predictive model using ploidy and heterogeneity to confidently identify (90% PPV) patients with intrinsic resistance to and worse survival on aPD-1. We further observed that three of seven (43%) patients predicted to be intrinsically resistant to single-agent PD-1 ICB responded to combination ICB, suggesting that these patients may benefit disproportionately from combination ICB. These findings highlight the importance of heterogeneity and ploidy, nominating an approach toward clinical actionability.

Science AdvancesVol. 10(48)
Worcester Polytechnic Institute (US), Broad Institute (US), Brigham and Women's Hospital (US), Memorial Sloan Kettering Cancer Center (US), The University of Texas MD Anderson Cancer Center (US), Harvard University (US), Al-Azhar University (EG), Harvard University Press (US), Massachusetts General Hospital (US), Dana-Farber Cancer Institute (US), Essen University Hospital (DE), Universitätsklinikum Würzburg (DE), Massachusetts Institute of Technology (US)
Good health and well-being
Openalex Percentile: Top 18%
Cancer Immunotherapy and Biomarkers
1.13
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