The Landscape of Immune Cells Indicates Prognosis and Applicability of Checkpoint Therapy in Hepatocellular Carcinoma

Frontiers in Oncology

Jianxiang Chen¹  Dalong Wan²  Lin Zhou⁵  Yiting Qiao⁵  Jiacheng Huang^1,10  Lele Zhang^1,10  Shusen Zheng^1,10 

[1] 0Collaborative Innovation Center of Chinese Medicines from Zhejiang Province, School of Medicine, Hangzhou Normal University, Hangzhou, China;Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China;Engineering Laboratory of Development and Application of Chinese Medicine from Zhejiang Province, Hangzhou, China;Key Laboratory of Elemene Class Anti-Cancer Medicine of Zhejiang Province, Hangzhou, China;Key Laboratory of Organ Transplantation, Research Center for Diagnosis and Treatment of Hepatobiliary Diseases, Hangzhou, China;Key Laboratory of the Diagnosis and Treatment of Organ Transplantation, Research Unit of Collaborative Diagnosis and Treatment for Hepatobiliary and Pancreatic Cancer, Chinese Academy of Medical Sciences (2019RU019), Hangzhou, China;National Health Center (NHC) Key Laboratory of Combined Multi-organ Transplantation, Hangzhou, China;Pharmacy Institute and Department of Hepatology, Institute of Hepatology and Metabolic Diseases, Institute of Integrated Chinese and Western Medicine for Oncology, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, China;School of Medicine, Zhejiang University, Hangzhou, China;Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, China;

关键词: HCC;    CIBERSORT;    PD-L1;    immune subtype;    prognosis;   

DOI  :  10.3389/fonc.2021.744951

来源: DOAJ

【 摘 要 】

BackgroundTumor-infiltrating immune cells are important components of tumor microenvironment (TME), and their composition reflects the confrontation between host immune system and tumor cells. However, the relationship between the composition of infiltrating immune cells, prognosis, and the applicability of anti-PD-1/PD-L1 therapy in hepatocellular carcinoma (HCC) needs systematic examination.MethodsCell-Type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) was applied to evaluate the infiltration of immune cells based on The Cancer Genome Atlas (TCGA) liver hepatocellular carcinoma (LIHC) cohort. Diagnostic and prognostic models were constructed based on immune cells, and the models were validated by two external cohorts. The relationship between immune cells and PD-L1 was evaluated by Spearman correlation, and the finding was validated in our in-house HCC sample.ResultPatients in TCGA LIHC cohort were classified into six subtypes with different prognosis based on the proportion of tumor-infiltrating immune cells simulated via CIBERSORT. Among 22 types of immune cells, intratumoral PD-L1 mRNA level exhibited linear relationship with the fraction of five types of immune cells (M1 macrophages, plasma cells, CD8+ T cells, resting mast cells, and regulatory T cells), and M1 macrophages showed the strongest relevance (R = 0.26, p < 0.001). Immunohistochemistry of our in-house HCC specimens verified this conclusion. Moreover, intratumoral mRNA levels of M1 macrophage-associated cytokines were positively correlated with PD-L1 level.ConclusionsOur study demonstrated that the prognosis of HCC patients was associated with the pattern of infiltrating immune cells in TME, and macrophage-associated cytokines might be a potential non-invasive marker for predicting the PD-L1 level for HCC patients.

【 授权许可】

Unknown