Genomic copy-number variants drive apoptotic evasion underlying acquired resistance to immune checkpoint inhibitors

Patients who initially respond to immune checkpoint inhibitors (ICIs) often relapse. Here, we studied how disease-progressive (DP) clinical melanomas evolve genomically to acquire ICI resistance. Compared to patient-matched pretreatment tumors, DP tumors recurrently amplified and/or deleted anti-apoptotic and/or pro-apoptotic genes, respectively. By chronic exposure to killer T cells or ICI therapy, we derived acquired-resistant (AR) human melanoma cell lines and murine melanoma tumors that recapitulate co-occurrent copy-number variants (CNVs) of apoptotic genes observed in DP melanomas. AR and DP subclones expanded shared, private, and, in some subclones, preexistent driver CNVs. Compared to isogenic parental cells, AR melanoma cells attenuated apoptotic priming but, with overexpression of deleted pro-apoptotic genes, recovered mitochondrial priming and sensitivity to killer T cells or ICIs. In mice, pharmacologically reducing the apoptotic threshold of ICI persisters prevented relapses. Thus, CNVs can drive the evolution of resistance to ICIs in melanoma, with tumor cell-intrinsic apoptotic threshold representing a target to curtail persister evolution.

Authors

Institutions

Publication Details

Journal
Immunity
Published
2025-10-31
DOI
https://doi.org/10.1016/j.immuni.2025.10.001
Citations
2
Primary Topic
Melanoma and MAPK Pathways
Type
article
Field-Weighted Citation Impact
1.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genomic copy-number variants drive apoptotic evasion underlying acquired resistance to immune checkpoint inhibitors

Jianfeng Fan, Mehdi Nosrati, Alessio Giubellino, Kevin B. Kim et al.
2 citations
Immunity
Melanoma and MAPK Pathways
1.61
article

Genomic copy-number variants drive apoptotic evasion underlying acquired resistance to immune checkpoint inhibitors

Jianfeng Fan, Mehdi Nosrati, Alessio Giubellino, Kevin B. Kim, Shirley H. Lomeli, Sixue Liu, Mark C. Kelley, Roger S. Lo, Douglas Buckner Johnson, Gatien Moriceau, Shangfeng Yang, Zhentao Yang, Mohammed Kashani–Sabet, Mingming Wu, Prashanthi Dharanipragada, Carlos Prieto‐Granada, Robert Damoiseaux
article en
2 citations

Abstract

Patients who initially respond to immune checkpoint inhibitors (ICIs) often relapse. Here, we studied how disease-progressive (DP) clinical melanomas evolve genomically to acquire ICI resistance. Compared to patient-matched pretreatment tumors, DP tumors recurrently amplified and/or deleted anti-apoptotic and/or pro-apoptotic genes, respectively. By chronic exposure to killer T cells or ICI therapy, we derived acquired-resistant (AR) human melanoma cell lines and murine melanoma tumors that recapitulate co-occurrent copy-number variants (CNVs) of apoptotic genes observed in DP melanomas. AR and DP subclones expanded shared, private, and, in some subclones, preexistent driver CNVs. Compared to isogenic parental cells, AR melanoma cells attenuated apoptotic priming but, with overexpression of deleted pro-apoptotic genes, recovered mitochondrial priming and sensitivity to killer T cells or ICIs. In mice, pharmacologically reducing the apoptotic threshold of ICI persisters prevented relapses. Thus, CNVs can drive the evolution of resistance to ICIs in melanoma, with tumor cell-intrinsic apoptotic threshold representing a target to curtail persister evolution.

ImmunityVol. 58(11)
University of Minnesota (US), University of California, Los Angeles (US), California Pacific Medical Center (US), University of Minnesota Medical Center (US), Vanderbilt University Medical Center (US)
Openalex Percentile: Top 14%
Melanoma and MAPK Pathways
1.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.