Evidence map›Paper›PMID 39890709›Full record

ArticleDiscover oncology2025

A prognostic model of 8-T/B cell receptor-related signatures for hepatocellular carcinoma.

Xuan Zuo, Hui Li, Shi Xie, Mengfen Shi, Yujuan Guan, Huiyuan Liu, Rong Yan, Anqi Zheng, Xueying Li, Jiabang Liu and 9 more

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Xuan Zuo *Department of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, China.
Hui Li *HRYZ Biotech Co., Shenzhen, China.
Shi Xie *Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Mengfen ShiGuangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Yujuan GuanDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, China.
Huiyuan LiuDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, China.
Rong YanGuangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Anqi ZhengGuangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Xueying LiGuangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Jiabang LiuGuangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Yifan GanGuangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Haiyan ShiDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, China.
Keng ChenDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, China.
Shijie JiaDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, China.
Guanmei ChenDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, China.
Min LiaoDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, China.
Zhanhui WangGuangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Yanyan HanHRYZ Biotech Co., Shenzhen, China. hanyanyan@shhryz.com.
Baolin LiaoDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, China. polinlbl@163.com.

Funding

This work was supported by the Municipal and University (Hospital) joint funding project of Guangzhou Municipal Science and Technology Bureau 2023A03J0808This work was supported by the Municipal and University (Hospital) joint funding project of Guangzhou Municipal Science and Technology Bureau 2025A03J3733
6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is the second leading cause of cancer-related death worldwide. The T cell receptor (TCR) and B cell receptor (BCR) are the receptors on the surface of T or B cell, which are crucial for recognizing tumor antigens. It is profound to establish a practical TCR/BCR-related gene signature prognostic model for the further diagnosis and treatment among HCC patients.

methodsIn this study, we categorized gene expression data of HCC patients from The Cancer Genome Altas and identified TCR related genes by the Least Absolute Shrinkage and Selection Operator and multivariate Cox regression analysis. Both the CIBERSORT algorithm and the TB tools were used to analyze the features and heterogeneity of the tumor microenvironment.

resultsFinally, an 8-gene prognostic model was successfully established and achieved the validation in both the International Cancer Genome Consortium and Nanfang Hospital cohorts. Patients were divided into high-risk and low-risk groups based on the median of the risk scores. We observed that tumor differentiation was worse while the fibrinogen concentration was higher in the high-risk group of patients. Both the number of unique TCR and BCR clonotypes and the expanded clones were higher in the low-risk group than in the high-risk group.

conclusionsTogether, our study screened a TCR/BCR-related signature prognostic model, which might turn into a beneficial and practical tool to solve the perplexities of the treatment, prognosis prediction and management for HCC patients.

Indexed as

B cell receptorHepatocellular carcinomaPrognostic modelT cell receptorTumor microenvironment

Identifiers

PMID39890709
PMCPMC11785873

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