Evidence map›Paper›PMID 39350784›Full record

ArticleWorld journal of gastroenterology2024

B-cell-specific signatures reveal novel immunophenotyping and therapeutic targets for hepatocellular carcinoma.

Ke-Quan Xu, Zheng Gong, Jia-Ling Yang, Chu-Qi Xia, Jian-Yi Zhao, Xi Chen

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Article in World journal of gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ke-Quan XuDepartment of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, China.
Zheng GongDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei Province, China.
Jia-Ling YangSchool of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, Jiangsu Province, China.
Chu-Qi XiaDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, Yunnan Province, China.
Jian-Yi ZhaoDepartment of General Surgery, Second People's Hospital of Jiaozuo City, Jiaozuo 454001, Henan Province, China.
Xi ChenDepartment of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, China. chenxi2022@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmunotherapy presents both promises and challenges in treating hepatocellular carcinoma (HCC) due to its complex immunological microenvironment. The role of B cells, a key part of the immune system, remains uncertain in HCC.

aimTo identify B-cell-specific signatures and reveal novel immunophenotyping and therapeutic targets for HCC.

methodsUsing the Tumor Immune Single-cell Hub 2 database, we identified B-cell-related genes (BRGs) in HCC. Gene enrichment analysis was performed to explore the possible collaboration between B cells and T cells in HCC. We conducted univariate Cox regression analysis using The Cancer Genome Atlas liver HCC collection dataset to find BRGs linked to HCC prognosis. Subsequently, least absolute shrinkage and selection operator regression was utilized to develop a prognostic model with 11 BRGs. The model was validated using the International Cancer Genome Consortium dataset and GSE76427.

resultsThe risk score derived from the prognostic model emerged as an independent prognostic factor for HCC. Analysis of the immune microenvironment and cell infiltration revealed the immune status of various risk groups, supporting the cooperation of B and T cells in suppressing HCC. The BRGs model identified new molecular subtypes of HCC, each with distinct immune characteristics. Drug sensitivity analysis identified targeted drugs effective for each HCC subtype, enabling precision therapy and guiding clinical decisions.

conclusionWe clarified the role of B cells in HCC and propose that the BRGs model offers promising targets for personalized immunotherapy.

Indexed as

B-LymphocytesCarcinoma, HepatocellularImmunophenotypingLiver NeoplasmsTumor MicroenvironmentBiomarkers, TumorDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunotherapyMaleMolecular Targeted TherapyPrognosisT-LymphocytesBiomarkers, TumorB cellHepatocellular carcinomaImmune microenvironmentImmunotherapyMolecular subtype

Identifiers

PMID39350784
PMCPMC11438648

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.