Deciphering the Multifaceted Immune Landscape of Unresectable Primary Liver Cancer to Predict Immunotherapy Response

Immunotherapies employing PD-1/PD-L1 immune checkpoint inhibitors (ICIs) are vital for primary liver cancer (PLC), but response rates remain unsatisfying. Accurate differentiation of responders from non-responders to immunotherapy is imperative. Here, single-cell-scaled mass cytometry analysis on sequential peripheral blood mononuclear cells (PBMCs) from ICI-treated PLC patients is conducted, and tissue residence of immune subpopulations is assessed via multiplex immunohistochemistry. In the discovery cohort (n = 24), responders have lower baseline B cell and HLA-DR<sup>+</sup>CD8<sup>+</sup>T cell, and higher CD14<sup>+</sup>CD16<sup>-</sup> classical monocyte (CM) proportions. CMs decrease more in responders PBMCs, while HLA-DR<sup>+</sup>CD8<sup>+</sup>T cells conformably amplify after ICI-exposure. Responsive individuals display upregulated exhaustion and activation markers in peripheral immune lineages. In the expanded cohort of 77 patients, the augment of the B cells in non-responders is re-confirmed. Responders demonstrate much higher enrichment of B cells or tertiary lymphoid structures in tumor compared to non-responders. A prospective model that excelled in early discrimination of responders is developed using generalized linear model and achieves a satisfactory AUC over 0.9 in all three independent cohorts. Integratedly, the study unveils dynamic immune landscapes in PLC patients undergoing ICI-based therapy, aiding in PLC patient stratification for ICI-based treatment and fostering new response monitoring strategies.

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Publication Details

Journal
Advanced Science
Published
2024-10-28
DOI
https://doi.org/10.1002/advs.202309631
Citations
4
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
1.13

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article

Deciphering the Multifaceted Immune Landscape of Unresectable Primary Liver Cancer to Predict Immunotherapy Response

Yongqiang Yang, Chengjun Sui, S. Yang, Jun Fan et al.
4 citations
Advanced Science
Cancer Immunotherapy and Biomarkers
1.13
article

Deciphering the Multifaceted Immune Landscape of Unresectable Primary Liver Cancer to Predict Immunotherapy Response

Yongqiang Yang, Chengjun Sui, S. Yang, Jun Fan, Jing Tang, Gang Wu, Pian Liu, Dejun Zhang, Xueshan Qiu, Zhihua Wu, Tao Zhang, Jinfeng Zhang, Hongyang Wang, Lei Chen, Si‐Si Zhang, Jun Xue
article en
4 citations

Abstract

Immunotherapies employing PD-1/PD-L1 immune checkpoint inhibitors (ICIs) are vital for primary liver cancer (PLC), but response rates remain unsatisfying. Accurate differentiation of responders from non-responders to immunotherapy is imperative. Here, single-cell-scaled mass cytometry analysis on sequential peripheral blood mononuclear cells (PBMCs) from ICI-treated PLC patients is conducted, and tissue residence of immune subpopulations is assessed via multiplex immunohistochemistry. In the discovery cohort (n = 24), responders have lower baseline B cell and HLA-DR<sup>+</sup>CD8<sup>+</sup>T cell, and higher CD14<sup>+</sup>CD16<sup>-</sup> classical monocyte (CM) proportions. CMs decrease more in responders PBMCs, while HLA-DR<sup>+</sup>CD8<sup>+</sup>T cells conformably amplify after ICI-exposure. Responsive individuals display upregulated exhaustion and activation markers in peripheral immune lineages. In the expanded cohort of 77 patients, the augment of the B cells in non-responders is re-confirmed. Responders demonstrate much higher enrichment of B cells or tertiary lymphoid structures in tumor compared to non-responders. A prospective model that excelled in early discrimination of responders is developed using generalized linear model and achieves a satisfactory AUC over 0.9 in all three independent cohorts. Integratedly, the study unveils dynamic immune landscapes in PLC patients undergoing ICI-based therapy, aiding in PLC patient stratification for ICI-based treatment and fostering new response monitoring strategies.

Advanced ScienceVol. 11(47)
Union Hospital (HK), Second Military Medical University (CN), Fudan University Shanghai Cancer Center (CN), Shanghai Cancer Institute (CN), Wuhan Union Hospital (CN), Eastern Hepatobiliary Surgery Hospital (CN), Huazhong University of Science and Technology (CN)
National Science Foundation, Beijing Xisike Clinical Oncology Research Foundation, Science and Technology Department of Hubei Province
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 18%
Cancer Immunotherapy and Biomarkers
1.13
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