PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 1, 2026Journal for ImmunoTherapy of Cancer2 citationsOpen Access

Systemic immune profiling uncovers divergent mechanisms and predictive biomarkers of response to combination immunotherapies in hepatocellular carcinoma

View Full Paper
ANAkira NishioTKTakahiro KodamaKDKazuma Daiku

Key Points

  • The aim is to uncover the immune mechanisms and biomarkers that predict responses to combination immunotherapies in hepatocellular carcinoma.
  • Single-cell RNA sequencing with CITE-seq on peripheral blood mononuclear cells from 19 advanced HCC patients.
  • Analyzed 345,962 single-cell transcriptomes across 22 immune cell clusters.
  • Conducted transcriptional profiling, gene set enrichment analysis, and T cell receptor repertoire analysis.
  • Distinct systemic immune states were identified based on HCC etiology, particularly in CD8 + T cells.
  • Under Atez/Bev, responders exhibited reprogrammed CD14 + monocytes with enhanced immune functions.
  • Dur/Tre responders showed enriched inflammatory monocyte programs and reprogramming of CD8 + T cells.

Abstract

Background Combination immunotherapies such as atezolizumab plus bevacizumab (Atez/Bev) and durvalumab plus tremelimumab (Dur/Tre) improve outcomes in advanced hepatocellular carcinoma (HCC), yet systemic immune mechanisms underlying response remain incompletely defined. Methods We performed single-cell RNA sequencing with CITE-seq on peripheral blood mononuclear cells from 19 advanced HCC patients (Atez/Bev: 5 responders (R), 5 non-responders (NR); Dur/Tre: 4 R, 5 NR) before and during treatment, yielding 345 962 single-cell transcriptomes spanning 22 immune cell clusters. Analysis included transcriptional profiling, gene set enrichment analysis, T cell receptor (TCR) repertoire analysis, and CellChat-based intercellular communication modeling. Results Baseline comparisons revealed distinct systemic immune states by etiology: non-viral HCC exhibited CD8 + T cells with heightened cytotoxic and memory-associated signatures. Under Atez/Bev, CD14 + monocytes in responders were reprogrammed toward antigen-presenting and lymphocyte-supporting functions, while PRKCH + NK cells acquired a robust cytotoxic program reinforced by monocyte–NK interactions via ICAM–integrin and HLA-E–NKG2C axes. In contrast, Dur/Tre responders exhibited CD14 + monocyte programs enriched in inflammatory and interferon-driven antigen presentation, alongside transcriptional reprogramming of CD8 + central memory T cells into an effector-ready state with strong crosstalk to monocytes. TCR analysis revealed regimen-specific differences: clonotype expansion occurred irrespective of response under Atez/Bev, whereas Dur/Tre responders showed both clonotype expansion and higher pretreatment CD8 + T cell diversity, with expanded clones displaying cytotoxic and interferon-responsive profiles. Pretreatment immune composition, including naïve CD4 + T cells and PRKCH + NK cells for Atez/Bev and conventional dendritic cells for Dur/Tre, also predicted response. Conclusions Our findings reveal regimen-specific systemic immune mechanisms in advanced HCC: Atez/Bev amplifies monocyte–NK cytotoxic axes, whereas Dur/Tre enhances monocyte–T cell inflammatory networks and TCR repertoire diversity. These insights highlight distinct predictive biomarkers and support regimen-tailored immunotherapy in HCC.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Nishio et al. (2026) studied this question.

synapsesocial.com/papers/69ccb66716edfba7beb880ffhttps://doi.org/10.1136/jitc-2025-013648
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles2005 · 57,803 citations
  2. 2Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries2024 · 25,401 citations
  3. 3Clonal expansion of resident memory T cells in peripheral blood of patients with non-small cell lung cancer during immune checkpoint inhibitor treatment2023 · 63 citations
  4. 4Peripheral Blood-Based Biomarkers for Immune Checkpoint Inhibitors2021 · 112 citations
  5. 5Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma2018 · 2,115 citations