Chromatin Remodeling and Cancer Peer reviewed

The pan-tumor landscape, allelic status, and genomic complexity of SMARCA4 alterations

Matteo Repetto, Michael V. Gormally, Jason C. Chang, Pier Selenica and 15 more

Clinical Cancer Research | Aug 14, 2026

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SMARCA4 alteration class and allelic status define biologically and clinically distinct subsets of tumors and support incorporating allelic status and functional mutation class into patient selection strategies for emerging BRM-targeted therapies.

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PURPOSE: The clinical implications of distinct SMARCA4 alteration classes remain incompletely defined. We performed a pan-cancer analysis to characterize SMARCA4 mutation classes and their associations with allelic status, genomic context, and therapeutic outcomes. PATIENTS AND METHODS: We analyzed 68,920 tumor-normal paired samples sequenced with the MSK-IMPACT next-generation sequencing assay between 2015 and 2023. Oncogenic or likely oncogenic SMARCA4 alterations were curated using OncoKB and classified based on prior functional and structural literature. Allele-specific copy number, ploidy, fraction of genome altered, loss of heterozygosity, and whole-genome doubling were calculated. Clinical outcomes were evaluated in selected tumor cohorts treated with platinum-based therapy or immune checkpoint blockade. RESULTS: SMARCA4 alterations were most frequent in thymic epithelial tumors (10.7%), non-small cell lung cancer (NSCLC; 7.1%), bladder cancer (5.6%), and cervical cancer (5%). Class 1 and class 2 alterations occurred in 2.9% and 0.7% of tumors, respectively. Distinct patterns of genomic complexity, co-occurring alterations, and mutational signatures were observed across tumor types based on SMARCA4 alteration allelic state and class. In a phase I trial of the BRM degrader PRT3789, patients with monoallelic class 2 SMARCA4 alterations and preserved BRG1 expression saw clinical benefit, including one who attained a complete response. CONCLUSIONS: SMARCA4 alteration class and allelic status define biologically and clinically distinct subsets of tumors. These findings support incorporating allelic status and functional mutation class into patient selection strategies for emerging BRM-targeted therapies.

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Authors

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Matteo Repetto

first | Memorial Sloan Kettering Cancer Center | ORCID 0009-0002-4943-630X

Michael V. Gormally

middle | Memorial Sloan Kettering Cancer Center | ORCID 0000-0002-0414-4234

Jason C. Chang

middle | Memorial Sloan Kettering Cancer Center | ORCID 0000-0002-1705-1870

Pier Selenica

middle | Memorial Sloan Kettering Cancer Center | ORCID 0000-0003-0086-0513

Andrea Gazzo

middle | Agostino Gemelli University Polyclinic | ORCID 0009-0009-9282-4667

Qin Zhou

middle | Memorial Sloan Kettering Cancer Center | ORCID 0000-0003-1225-2902

Alexia Iasonos

middle | Memorial Sloan Kettering Cancer Center | ORCID 0000-0003-0471-8477

Viktoriya Paroder

middle | Memorial Sloan Kettering Cancer Center | ORCID 0000-0003-4356-8256

Clare Wilhelm

middle | Memorial Sloan Kettering Cancer Center | ORCID 0000-0003-2437-5387

Samuel A. Funt

middle | Memorial Sloan Kettering Cancer Center | ORCID 0000-0002-7235-6319

Justin Jee

middle | Memorial Sloan Kettering Cancer Center | ORCID 0000-0001-9783-0139

Allison L. Richards

middle | Memorial Sloan Kettering Cancer Center | ORCID 0000-0003-2312-2302

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Citation

BibTeX

@article{Repetto2026tumor,
  title = {The pan-tumor landscape, allelic status, and genomic complexity of SMARCA4 alterations},
  author = {Matteo Repetto and Michael V. Gormally and Jason C. Chang and Pier Selenica and Andrea Gazzo and Qin Zhou and Alexia Iasonos and Viktoriya Paroder and Clare Wilhelm and Samuel A. Funt and Justin Jee and Allison L. Richards and Mark T.A. Donoghue and Adam J. Schoenfeld and Steven B. Maron and Carol Aghajanian and Britta Weigelt and Alexander Drilon and Robin Guo},
  journal = {Clinical Cancer Research},
  year = {2026},
  doi = {10.1158/1078-0432.ccr-26-1069},
  url = {https://doi.org/10.1158/1078-0432.ccr-26-1069}
}

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