Evidence map›Paper›PMID 37962061›Full record

ArticleCancer science2024

T-cell receptor sequencing reveals hepatocellular carcinoma immune characteristics according to Barcelona Clinic liver cancer stages within liver tissue and peripheral blood.

Rui Li, Junxiao Wang, Xiubin Li, Yining Liang, Yiyun Jiang, Yuwei Zhang, Pengfei Xu, Ling Deng, Zhe Wang, Tao Sun and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. ZNF683Nature communications · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Article
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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

13 authors at 6 institutions in 1 country.

Rui LiSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Junxiao WangInterventional Radiology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China.
Xiubin LiDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Yining LiangSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Yiyun JiangDepartment of Pathology and Hepatology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China.
Yuwei ZhangSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Pengfei XuHangzhou ImmuQuad Biotechnologies, Hangzhou, China.
Ling DengHangzhou ImmuQuad Biotechnologies, Hangzhou, China.
Zhe WangSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Tao SunHangzhou ImmuQuad Biotechnologies, Hangzhou, China.
Jian WuDepartment of Laboratory Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Hui XieInterventional Radiology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-4322-7267
Yijin WangSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0000-0002-3700-1766
Southern University of Science and Technology · CNChinese PLA General Hospital · CNUstar Biotechnologies (China) · CNPeking University · CNSuzhou Municipal Hospital · CNWenzhou University · CN

Funding

Educational Committee of Guangdong for Specific Program of Key Scientific Research 2021ZDZX2016National Natural Science Foundation of China (NNSFC) 81971720National Natural Science Foundation of China (NNSFC) 82370610Natural Science Foundation of Shenzhen GJHZ20220913142608016Natural Science Foundation of Shenzhen JCYJ20210324103808023Science and Technology Planning Project of Guangdong Province 2023A0505050115
6 · The paper itself

Abstract

Analysis of T-cell receptor (TCR) repertoires in different stages of hepatocellular carcinoma (HCC) might help to elucidate its pathogenesis and progression. This study aimed to investigate TCR profiles in liver biopsies and peripheral blood mononuclear cells (PBMCs) in different Barcelona Clinic liver cancer (BCLC) stages of HCC. Ten patients in early stage (BCLC_A), 10 patients in middle stage (BCLC_B), and 10 patients in late stage (BCLC_C) cancer were prospectively enrolled. The liver tumor tissues, adjacent tissues, and PBMCs of each patient were collected and examined by TCR β sequencing. Based on the ImMunoGeneTics (IMGT) database, we aligned the V, D, J, and C gene segments and identified the frequency of CDR3 sequences and amino acids sequence. Diversity of TCR in PBMCs was higher than in both tumor tissues and adjacent tissues, regardless of BCLC stage and postoperative recurrence. TCR clonality was increased in T cells from peripheral blood in advanced HCC, compared with the early and middle stages. No statistical differences were observed between different BCLC stages, either in tumors or adjacent tissues. TCR clonality revealed no significant difference between recurrent tumor and non-recurrent tumor, therefore PBMCs was better to be representative of TCR characteristics in different stages of HCC compared to tumor tissues. Clonal expansion of T cells was associated with low risk of recurrence in HCC patients.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHumansLeukocytes, MononuclearNeoplasm Recurrence, LocalNeoplasm StagingReceptors, Antigen, T-CellRetrospective StudiesTreatment OutcomeReceptors, Antigen, T-Cellclonal expansionHCC stageshepatocellular carcinomarecurrent tumorTCR sequencing

Identifiers

PMID37962061
PMCPMC10823291
OpenAlexW4388657532

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.