Cited by 66Cancer Immunotherapy and BiomarkersHepatocellular Carcinoma Treatment and PrognosisHepatitis B Virus Studies

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Viral status, immune microenvironment and immunological response to checkpoint inhibitors in hepatocellular carcinoma

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Abstract

Background and aims: Immune checkpoint inhibitors (ICIs) targeting the programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1) pathway have clinical activity in hepatocellular carcinoma (HCC), but only a subset of patients respond to these therapies, highlighting a need for novel biomarkers to improve clinical benefit. HCC usually occurs in the setting of liver cirrhosis from chronic hepatitis B or C viral infection, but the effects of viral status on the tumor immune microenvironment and clinical responses to ICIs in HCC remains unclear. Methods: We conducted a meta-analysis to estimate the objective response rates for PD-1/PD-L1 inhibitors in virally-infected and uninfected patients, and examined the effects of viral etiology on the tumor microenvironment using data from The Cancer Genome Atlas, as well as peripheral blood responses using an independent cohort of patients studied by mass cytometry (cytometry by time-of-flight (CyTOF)). Results: Meta-analysis comparing objective response rates (ORR) between virally-infected and uninfected patients showed no clinically meaningful difference (absolute difference of ORR in virally-infected vs uninfected=−1.4%, 95% CI: −13.5% to 10.6%). There was no relationship between viral etiology on features of the tumor immune microenvironment that are known to modulate responses to PD-1/PD-L1 inhibitors, and the tumor mutational burden was similar between virally-infected and uninfected HCC. RNA sequencing of tissue-resident T cell and B cell repertoires similarly showed no effect of viral status on their diversity. CyTOF analysis of peripheral blood specimens further demonstrated similar expression of immune-related markers in response to PD-1 inhibitor therapy in virally-infected and uninfected HCC. Conclusion: There is no significant effect of viral etiology on the tumor immune microenvironment in HCC, and viral status should not be used as a criterion to select patients for PD-1/PD-L1 therapy.

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  • Ho et al. found no significant differences in TME immune cell infiltration subtypes or immune checkpoint molecule expression levels between HCC patients with and without HBV/HCV infections treated with PD-1/PD-L1 inhibitors.

    “Ho et al. compared the clinical benefits of PD-1/PD-L1 inhibitors in HCC patients with and without HBV/HCV infections, finding no significant differences in TME immune cell infiltration subtypes or immune checkpoint molecule expression levels108.”

    From Microbiome meets immunotherapy: unlocking the hidden predictors of immune checkpoint inhibitors (2025) · cites this paper as [108]

    The Results section, “Tumor immune microenvironment in HCV, HBV, and uninfected HCC” (page unavailable), reports no significant association of viral etiology with markers of several infiltrating immune-cell types or with tumor immune-checkpoint expression. But those TME findings came from TCGA tumor data, not from the patients treated with PD-1/PD-L1 inhibitors; the paper analyzed treatment responses separately. The claim incorrectly presents the TME comparison as a finding in treated patients. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • The discrepancy in predictive role of viral status may be related to the balance of inflammation and immune recognition mechanisms within the TME.

    “This discrepancy may be related to the balance of inflammation and immune recognition mechanisms within the TME108,109.”

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Research works printed but not linked: 40

  1. 10.1016/S0140-6736(17)31046-2 · DOI · Paper page
  2. Zhu, 2018, Pembrolizumab in patients with advanced hepatocellular carcinoma previously treated with sorafenib (KEYNOTE-224): a non-randomised, open-label phase 2 trial, Lancet Oncol, 19, 940, 10.1016/S1470-2045(18)30351-6 · DOI · Paper page
  3. 10.1158/0008-5472.CAN-19-0803 · DOI
  4. Maucort-Boulch, 2018, Fraction and incidence of liver cancer attributable to hepatitis B and C viruses worldwide, Int J Cancer, 142, 2471, 10.1002/ijc.31280 · DOI
  5. 10.1002/hep.27222 · DOI
  6. 10.1053/j.gastro.2008.09.014 · DOI
  7. 10.1053/j.gastro.2007.04.061 · DOI
  8. Michielsen, 2011, Viral hepatitis B and hepatocellular carcinoma, Acta Gastroenterol Belg, 74, 4
  9. 10.1038/nrc.2016.154. · DOI · Paper page
  10. 10.1158/2326-6066.CIR-13-0034 · DOI
  11. Mandal, 2016, The head and neck cancer immune landscape and its immunotherapeutic implications, JCI Insight, 1, 10.1172/jci.insight.89829 · DOI
  12. Ma, 2017, Differentiated tumor immune microenvironment of Epstein-Barr virus-associated and negative gastric cancer: implication in prognosis and immunotherapy, Oncotarget, 8, 67094, 10.18632/oncotarget.17945 · DOI
  13. 10.1078/0344-0338-00052 · DOI
  14. 10.1016/S0046-8177(96)90133-1 · DOI
  15. Tokunaga, 1993, Epstein-Barr virus in gastric carcinoma, Am J Pathol, 143, 1250
  16. 10.1097/01.pas.0000176428.06629.1e · DOI
  17. Derks, 2016, Abundant PD-L1 expression in Epstein-Barr virus-infected gastric cancers, Oncotarget, 7, 32925, 10.18632/oncotarget.9076 · DOI
  18. 10.1093/nar/gkv1507 · DOI
  19. Ellrott, 2018, Scalable open science approach for mutation calling of tumor Exomes using multiple genomic pipelines, Cell Syst, 6, 271, 10.1016/j.cels.2018.03.002 · DOI
  20. Ally, 2017, Comprehensive and integrative genomic characterization of hepatocellular carcinoma, Cell, 169, 1327, 10.1016/j.cell.2017.05.046 · DOI · Paper page
  21. Hu, 2019, Landscape of B cell immunity and related immune evasion in human cancers, Nat Genet, 51, 560, 10.1038/s41588-018-0339-x · DOI
  22. 10.1002/cyto.a.22778 · DOI
  23. Hartmann, 2018, A universal live cell Barcoding-Platform for multiplexed human single cell analysis, Sci Rep, 8, 10.1038/s41598-018-28791-2 · DOI
  24. Weber, 2019, diffcyt: differential discovery in high-dimensional cytometry via high-resolution clustering, Commun Biol, 2, 183, 10.1038/s42003-019-0415-5 · DOI
  25. 10.1002/cyto.a.22625 · DOI
  26. Becht, 2019, Dimensionality reduction for visualizing single-cell data using UMAP, Nat Biotechnol, 37, 38, 10.1038/nbt.4314 · DOI · Paper page
  27. 10.1093/nar/gkv007 · DOI · Paper page
  28. 10.1093/bioinformatics/btp616 · DOI · Paper page
  29. 10.1186/gb-2004-5-10-r80 · DOI
  30. 10.1093/nar/gkq1018 · DOI · Paper page
  31. Yarchoan, 2019, Pd-L1 expression and tumor mutational burden are independent biomarkers in most cancers, JCI Insight, 4, 10.1172/jci.insight.126908 · DOI
  32. Sangro, 2016, A randomized, multicenter, phase 3 study of nivolumab vs sorafenib as first-line treatment in patients (PTS) with advanced hepatocellular carcinoma (HCC): CheckMate-459, J Clin Oncol, 34, 10.1200/JCO.2016.34.15_suppl.TPS4147 · DOI
  33. Finn, 2020, Pembrolizumab as second-line therapy in patients with advanced hepatocellular carcinoma in KEYNOTE-240: a randomized, double-blind, phase III trial, J Clin Oncol, 38, 193, 10.1200/JCO.19.01307 · DOI · Paper page
  34. 10.1158/1078-0432.CCR-17-0950 · DOI
  35. 10.1053/j.gastro.2017.03.024 · DOI
  36. 10.1016/j.jhep.2013.02.022 · DOI
  37. Yau, 2019, Nivolumab (NIVO) + ipilimumab (IPI) combination therapy in patients (PTS) with advanced hepatocellular carcinoma (aHCC): results from CheckMate 040, JCO, 37, 4012, 10.1200/JCO.2019.37.15_suppl.4012 · DOI
  38. Kelley, 2017, Phase I/II study of durvalumab and tremelimumab in patients with unresectable hepatocellular carcinoma (HCC): phase I safety and efficacy analyses, JCO, 35, 4073, 10.1200/JCO.2017.35.15_suppl.4073 · DOI
  39. Wainberg, 2017, Safety and clinical activity of durvalumab monotherapy in patients with hepatocellular carcinoma (HCC), JCO, 35, 4071, 10.1200/JCO.2017.35.15_suppl.4071 · DOI
  40. Feun, 2019, Phase 2 study of pembrolizumab and circulating biomarkers to predict anticancer response in advanced, unresectable hepatocellular carcinoma, Cancer, 125, 3603, 10.1002/cncr.32339 · DOI

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Metadata

Authors
Ho, W. J., Danilova, L., Lim, S. J., Verma, R., Xavier, S., Leatherman, J. M., Sztein, M. B., Fertig, E. J., Wang, H., Jaffee, E., & Yarchoan, M.
Affiliations
  • Johns Hopkins University (US)
  • University of Maryland, Baltimore (US)
Corresponding author
Yarchoan, Mark
Venue
Journal for ImmunoTherapy of Cancer
Publisher
BMJ
Published
2020-04
Volume
8
Issue
1
Pages
e000394
ISSN
2051-1426 (ISSN-L)
OpenAlex
W3017091658
Cited by
66
References
2
Citations by year
2026: 8 · 2025: 8 · 2024: 10 · 2023: 17 · 2022: 8 · 2021: 12 · 2020: 3
FWCI
1.07
Type
journal article
Language
en
Open access
Locations
  • Journal for ImmunoTherapy of Cancer (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
National Cancer Institute (P30 CA006973, P50 CA062924, T32CA00971-38, U01 CA212007)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Health Sciences › Medicine › Hepatology › Hepatocellular Carcinoma Treatment and Prognosis
  • Health Sciences › Medicine › Epidemiology › Hepatitis B Virus Studies
Keywords
hepatocellular carcinoma, immune checkpoint inhibitors, PD-1/PD-L1 pathway, viral infection, hepatitis B, hepatitis C, tumor immune microenvironment, objective response rate, tumor mutational burden, immune-related biomarkers, immunotherapy selection, mass cytometry
MeSH terms
Clinical Decision-Making, Immune Checkpoint Inhibitors, Antigens, Viral, Hepatitis B virus, Carcinoma, Hepatocellular, Humans, Liver Neoplasms, Retrospective Studies, T-Lymphocytes, Hepacivirus, Lymphocytes, Tumor-Infiltrating, Patient Selection, Hepatitis B, Chronic, Hepatitis C, Chronic, Tumor Microenvironment, B7-H1 Antigen, Programmed Cell Death 1 Receptor

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