Evidence map›Paper›PMID 40027555›Full record

ArticleWorld journal of hepatology2025

Uncovering immune cell heterogeneity in hepatocellular carcinoma by combining single-cell RNA sequencing with T-cell receptor sequencing.

Xin-Yu Gu, Shuang-Lin Gu, Zi-Yi Chen, Jin-Long Tong, Xiao-Yue Li, Hui Dong, Cai-Yun Zhang, Wen-Xian Qian, Xiu-Chang Ma, Chang-Hua Yi and 1 more

Abstract read
In one paragraph

Article in World journal of hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Xin-Yu GuDepartment of Infectious Diseases, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.
Shuang-Lin GuDepartment of Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.
Zi-Yi ChenGenetic Center, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410078, Hunan Province, China.
Jin-Long TongDepartment of Infectious Diseases, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.
Xiao-Yue LiDepartment of Infectious Diseases, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.
Hui DongDepartment of Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.
Cai-Yun ZhangDepartment of Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.
Wen-Xian QianDepartment of Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.
Xiu-Chang MaDepartment of Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.
Chang-Hua YiDepartment of Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.
Yong-Xiang YiDepartment of Infectious Diseases, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the status and function of tumor-infiltrating immune cells is essential for improving immunotherapeutic effects and predicting the clinical response in human patients with carcinoma. However, little is known about tumor-infiltrating immune cells, and the corresponding research results in hepatocellular carcinoma (HCC) are limited.

aimTo investigate potential biomarker genes that are important for the development of HCC and to understand how immune cell subsets react throughout this process.

methodsUsing single-cell RNA sequencing and T-cell receptor sequencing, the heterogeneity and potential functions of immune cell subpopulations from HCC tissue and normal tissue adjacent to carcinoma, as well as their possible interactions, were analyzed.

resultsEight T-cell clusters from patients were analyzed and identified using bioinformatics, including six typical major T-cell clusters and two newly identified T-cell clusters, among which Fc epsilon receptor 1G

conclusionWe identified lymphocyte subpopulations and potential biomarker genes critical for HCC development and revealed the clonal amplification of infiltrating T cells. These data provide valuable resources for understanding the response of immune cell subsets in HCC.

Indexed as

Hepatocellular carcinomaImmune cell subpopulationsPaired T-cell receptor sequencingSingle-cell RNA sequencingTumor-infiltrating immune cells

Identifiers

PMID40027555
PMCPMC11866147

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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.