Evidence map›Paper›PMID 26137399›Full record

ArticleOncoimmunology2015

Diversity index of mucosal resident T lymphocyte repertoire predicts clinical prognosis in gastric cancer.

Qingzhu Jia, Junfeng Zhou, Gang Chen, Yan Shi, Haili Yu, Peng Guan, Regina Lin, Ning Jiang, Peiwu Yu, Qi-Jing Li and 1 more

Abstract read
In one paragraph

Article in Oncoimmunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
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  3. Observational
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  5. Review
  6. Article
  7. Human TCR repertoire in cancer.Cancer medicine · 2024
    Review
  8. Review
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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

11 authors.

Qingzhu JiaDepartment of General Surgery and Center of Minimal Invasive; Southwest Hospital; Third Military Medical University ; Chongqing, China ; Biomedical Analysis Center; Third Military Medical University ; Chongqing, China ; Chongqing Key Laboratory of Cellomics ; Chongqing, China.
Junfeng ZhouDepartment of General Surgery and Center of Minimal Invasive; Southwest Hospital; Third Military Medical University ; Chongqing, China.
Gang ChenBiomedical Analysis Center; Third Military Medical University ; Chongqing, China ; Chongqing Key Laboratory of Cellomics ; Chongqing, China.
Yan ShiDepartment of General Surgery and Center of Minimal Invasive; Southwest Hospital; Third Military Medical University ; Chongqing, China.
Haili YuBiomedical Analysis Center; Third Military Medical University ; Chongqing, China ; Chongqing Key Laboratory of Cellomics ; Chongqing, China.
Peng GuanBiomedical Analysis Center; Third Military Medical University ; Chongqing, China ; Chongqing Key Laboratory of Cellomics ; Chongqing, China.
Regina LinDepartment of Immunology; Duke University Medical Center ; Durham, NC USA.
Ning JiangDepartment of Biomedical Engineering; Cockrell School of Engineering; University of Texas at Austin ; Austin, TX USA.
Peiwu YuDepartment of General Surgery and Center of Minimal Invasive; Southwest Hospital; Third Military Medical University ; Chongqing, China.
Qi-Jing LiChongqing Key Laboratory of Cellomics ; Chongqing, China ; Department of Immunology; Duke University Medical Center ; Durham, NC USA.
Ying WanBiomedical Analysis Center; Third Military Medical University ; Chongqing, China ; Chongqing Key Laboratory of Cellomics ; Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A characteristic immunopathology of human cancers is the induction of tumor antigen-specific T lymphocyte responses within solid tumor tissues. Current strategies for immune monitoring focus on the quantification of the density and differentiation status of tumor-infiltrating T lymphocytes; however, properties of the TCR repertoire ‒ including antigen specificity, clonality, as well as its prognostic significance ‒ remain elusive. In this study, we enrolled 28 gastric cancer patients and collected tumor tissues, adjacent normal mucosal tissues, and peripheral blood samples to study the landscape and compartmentalization of these patients' TCR β repertoire by deep sequencing analyses. Our results illustrated antigen-driven expansion within the tumor compartment and the contracted size of shared clonotypes in mucosa and peripheral blood. Most importantly, the diversity of mucosal T lymphocytes could independently predict prognosis, which strongly underscores critical roles of resident mucosal T-cells in executing post-surgery immunosurveillance against tumor relapse.

Indexed as

gastric cancermucosal-residenceprognosisrepertoire sequencingT-cell repertoireTCR, T-cell receptor

Identifiers

PMID26137399
PMCPMC4485732

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.