Cited by 165Cancer Immunotherapy and BiomarkersImmunotherapy and Immune ResponsesCancer Genomics and Diagnostics

Genomics of response to immune checkpoint therapies for cancer: implications for precision medicine

Open access
Conway, Jake R., Kofman, Eric, Mo, Shirley S., Elmarakeby, Haitham, Van Allen, Eliezer·2018·Genome Medicine

Abstract

Immune checkpoint blockade (ICB) therapies, which potentiate the body’s natural immune response against tumor cells, have shown immense promise in the treatment of various cancers. Currently, tumor mutational burden (TMB) and programmed death ligand 1 (PD-L1) expression are the primary biomarkers evaluated for clinical management of cancer patients across histologies. However, the wide range of responses has demonstrated that the specific molecular and genetic characteristics of each patient’s tumor and immune system must be considered to maximize treatment efficacy. Here, we review the various biological pathways and emerging biomarkers implicated in response to PD-(L)1 and cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) therapies, including oncogenic signaling pathways, human leukocyte antigen (HLA) variability, mutation and neoantigen burden, microbiome composition, endogenous retroviruses (ERV), and deficiencies in chromatin remodeling and DNA damage repair (DDR) machinery. We also discuss several mechanisms that have been observed to confer resistance to ICB, such as loss of phosphatase and tensin homolog (PTEN), loss of major histocompatibility complex (MHC) I/II expression, and activation of the indoleamine 2,3-dioxygenase 1 (IDO1) and transforming growth factor beta (TGFβ) pathways. Clinical trials testing the combination of PD-(L)1 or CTLA-4 blockade with molecular mediators of these pathways are becoming more common and may hold promise for improving treatment efficacy and response. Ultimately, some of the genes and molecular mechanisms highlighted in this review may serve as novel biological targets or therapeutic vulnerabilities to improve clinical outcomes in patients.

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  • HLA has been identified as a biomarker for predicting ICI response, with higher expression observed in responders.

    “HLA has been identified as a biomarker for predicting ICI response, with higher expression observed in responders (51–53).”

    From PathTIGR: A pathway topology-informed graph representation learning framework for immunotherapy response prediction (2026) · cites this paper as [51]

    The HLA variability section reports that MHC-II expression correlated with better outcomes after PD-1 blockade in Hodgkin lymphoma, while MHC-I and MHC-II expression correlated with efficacy under different treatments in melanoma. It does not establish that HLA expression generally is higher in ICI responders; it also notes that 92% of complete responders in the Hodgkin lymphoma cohort lacked MHC-I expression. The paper treats HLA genetic variability and MHC expression as related but distinct predictors. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • HLA variation and expression levels are important determinants of ICI response.

    “Multiple reviews and original research studies have indicated that HLA variation and expression levels are important determinants of ICI response.”

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References 154 · Cited by 165

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Authors
Conway, J. R., Kofman, E., Mo, S. S., Elmarakeby, H., & Van Allen, E.
Affiliations
Broad Institute (US)
Venue
Genome Medicine
Published
2018-11-29
Volume
10
Issue
1
Pages
93-93
ISSN
1756-994X (ISSN-L)
OpenAlex
W2902568381
Cited by
165
References
154
Citations by year
2026: 7 · 2025: 16 · 2024: 15 · 2023: 22 · 2022: 26 · 2021: 30 · 2020: 35 · 2019: 14
FWCI
2.30
Type
journal article
Language
en
Open access
Locations
  • Genome Medicine (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Greater South Information System
Funders
  • National Institutes of Health (5T32HG002295-15, R01CA227388)
  • Prostate Cancer Foundation (Prostate Cancer Foundation-V Foundation Challenge Award)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
Keywords
immune checkpoint blockade, PD-1/PD-L1 blockade, CTLA-4 blockade, cancer immunotherapy response, tumor mutational burden, neoantigens, tumor microbiome, endogenous retroviruses, DNA repair deficiency, chromatin remodeling, PTEN loss, IDO1, TGF-beta, biomarkers, resistance mechanisms, precision oncology, combination therapy
MeSH terms
Animals, Humans, Immunotherapy, Neoplasms, Signal Transduction, Drug Resistance, Neoplasm, Genomics, Precision Medicine, B7-H1 Antigen, CTLA-4 Antigen

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