journal article·2024-12Open access

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

Jun Xue, Shuai Yang, Si‐Si Zhang, Jun Fan, Zi‐Long Wu, Cheng‐Jun Sui, Yong‐Qiang Yang, Jin‐Feng Zhang, Pian Liu, De‐Jun Zhang, Xin‐Yao Qiu, Tao Zhang, Lei Chen, Gang Wu, Hong‐Yang Wang, Jing Tang

Advanced Science· Volume 11· Issue 47

Abstract

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 + CD8 + T cell, and higher CD14 + CD16 − classical monocyte (CM) proportions. CMs decrease more in responders PBMCs, while HLA‐DR + CD8 + 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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Cancer Immunotherapy and Biomarkers · Single-cell and spatial transcriptomics · Ferroptosis and cancer prognosis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Cancer Center Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan 430022 China

Institute of Radiation Oncology Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan 430022 China

Fudan University Shanghai Cancer Center Department of Oncology Shanghai Medical College Fudan University Shanghai 200032 China

Hubei Key Laboratory of Precision Radiation Oncology Wuhan 430022 China

Department of Pathology Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan 430022 China

The International Cooperation Laboratory on Signal Transduction Eastern Hepatobiliary Surgery Hospital Naval Medical University Shanghai 200438 China

National Center for Liver Cancer Shanghai 200441 China

Funding

Beijing Xisike Clinical Oncology Research Foundation · Department of Science and Technology of Hubei Province

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