Comutations in DNA Damage Response Pathways Serve as Potential Biomarkers for Immune Checkpoint Blockade
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Abstract
Abstract Biomarkers such as programmed death receptor 1 ligand (PD-L1) expression, tumor mutational burden (TMB), and high microsatellite instability are potentially applicable to predict the efficacy of immune checkpoint blockade (ICB). However, several challenges such as defining the cut-off value, test platform uniformity, and low frequencies limit their broad clinical application. Here we identify comutations in the DNA damage response (DDR) pathways of homologous recombination repair and mismatch repair (HRR-MMR) or HRR and base excision repair (HRR-BER; defined as co-mut+) that are associated with increased TMB and neoantigen load and increased levels of immune gene expression signatures. In four public clinical cohorts, co-mut+ patients presented a higher objective response rate and a longer progression-free survival or overall survival than co-mut− patients. Overall, identification of DDR comutations in HRR-MMR or HRR-BER as predictors of response to ICB provides a potentially convenient approach for future clinical practice. Significance: Identification of comutations in specific DDR pathways as predictors of superior survival outcomes in response to immune checkpoint blockade provide a clinically convenient approach for estimation of tumor mutational burden and delivery of ICB therapy. Cancer Res; 78(22); 6486–96. ©2018 AACR.
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PathTIGR consistently outperformed published biomarkers (PD-L1 expression (CD274), TMB, CTL.flag, TAM.M2, TIDE, NetBio, Wang et al., and Long et al.) in immunotherapy response prediction.
“Across this comprehensive biomarker panel, PathTIGR consistently outperformed existing approaches, demonstrating particular strength in accuracy metrics critical for clinical decision-making.”
From PathTIGR: A pathway topology-informed graph representation learning framework for immunotherapy response prediction (2026) · cites this paper as [41]
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References 34 · Cited by 241
- Authors
- Wang, Z., Zhao, J., Wang, G., Zhang, F., Zhang, Z., Zhang, F., Zhang, Y., Dong, H., Zhao, X., Duan, J., Bai, H., Tian, Y., Wan, R., Han, M., Cao, Y., Xiong, L., Liu, L., Wang, S., Cai, S., Mok, T. S. K., & Wang, J.
- Affiliations
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- 3D Medicines, Inc. (China) (CN)
- Peking University (CN)
- 5The Bioinformatics Department, R&D Center of Precision Medicine, 3D Medicines Inc., Shanghai, P.R. China.
- Wuhan Union Hospital (CN)
- Chinese University of Hong Kong (HK)
- ORCID
- Venue
- Cancer Research
- Published
- 2018-11-15
- Volume
- 78
- Issue
- 22
- Pages
- 6486-6496
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2889242099
- Cited by
- 241
- References
- 34
- Citations by year
- 2026: 7 · 2025: 22 · 2024: 29 · 2023: 32 · 2022: 51 · 2021: 52 · 2020: 38 · 2019: 9 · 2017: 1
- FWCI
- 9.73
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- Greater South Information System
- Funders
- National Natural Science Foundation of China (81630071 and 81330062)
- National Key R&D Program of China (2016YFC0902300)
- National High Technology Research and Development (SS2015AA020403)
- CAMS (2016-I2M-3-008)
- China National Natural Sciences Foundation (81472206, 81871889)
- Beijing Natural Science Foundation (7172045)
- Beijing Novel Program (Z141107001814051)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- DNA damage response, immune checkpoint blockade, predictive biomarkers, homologous recombination repair, DNA mismatch repair, base excision repair, tumor mutational burden, neoantigen load, immune gene expression signatures, treatment response prediction, survival outcomes
- MeSH terms
- Antibodies, Monoclonal, Antigens, DNA Damage, DNA Mutational Analysis, DNA Repair, Humans, Immune System, Mutation, Neoplasms, Biomarkers, Tumor, Immunophenotyping, Disease-Free Survival, Microsatellite Repeats, Gene Expression Profiling, Tumor Burden, Microsatellite Instability, DNA Mismatch Repair, Homologous Recombination, B7-H1 Antigen
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