Evidence map›Paper›PMID 38954030›Full record

ArticleCancer immunology, immunotherapy : CII2024

Tissue-resident memory CD103+CD8+ T cells in colorectal cancer: its implication as a prognostic and predictive liver metastasis biomarker.

Shijin Liu, Penglin Wang, Peize Wang, Zhan Zhao, Xiaolin Zhang, Yunlong Pan, Jinghua Pan

Abstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Increased CD103Cancer immunology, immunotherapy : CII · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Tissue-Resident T Cells in Clinical Response and Immune-Related Adverse Events of Immune Checkpoint Blockade.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Review
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

7 authors.

Shijin Liu *Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Penglin Wang *Department of Pathophysiology, School of Medicine, Jinan University, Guangzhou, 510632, China.
Peize Wang *Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Zhan ZhaoDepartment of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Xiaolin ZhangDepartment of Gastrointestinal Surgery, The Fifth Affiliated Hospital of Jinan University, Heyuan, 517000, China. ring04@163.com.
Yunlong PanDepartment of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China. tpanyl@jnu.edu.cn.
Jinghua PanDepartment of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China. panjh@jnu.edu.cn.

Funding

Guangzhou Science and Technology Plan City-School Joint Funding Project 202201020084; 202201020065Natural Science Foundation of Guangdong Province 2020A1515110639; 2021A1515010994; 2022A1515011695the Clinical Frontier Technology Program of the First Affiliated Hospital of Jinan University No. JNU1AF-CFTP-2022-a01223the National Natural Science Foundation of China 82204436
6 · The paper itself

Abstract

backgroundTissue-resident memory CD103+CD8+ T cells (CD103+CD8+ TRMs) are important components of anti-tumor immunity. However, the significance of CD103+CD8+ TRMs in colorectal cancer (CRC) and their advantages remain unclear.

methodsClinical data and specimens were used to evaluate the significance of CD103+CD8+ TRMs in CRC. A mouse subcutaneous tumorigenesis model and colony-formation assay were conducted to evaluate the anti-tumor effects of CD103+CD8+ TRMs. Finally, the infiltration density and function of CD103+CD8+ TRMs in the tumors were evaluated using flow cytometry.

resultsIn this study, we showed that highly infiltrated CD103+CD8+ TRMs were associated with earlier clinical stage and negative VEGF expression in CRC patients and predicted a favorable prognosis for CRC/CRC liver metastases patients. Interestingly, we also found that CD103+CD8+ TRMs may have predictive potential for whether CRC develops liver metastasis in CRC. In addition, we found a positive correlation between the ratio of the number of α-SMA+ vessels to the sum of the number of α-SMA+ and CD31+ vessels in CRC, and the infiltration level of CD103+CD8+ TRMs. In addition, anti-angiogenic therapy promoted infiltration of CD103+CD8+ TRMs and enhanced their ability to secrete interferon (IFN)-γ, thus further improving the anti-tumor effect. Moreover, in vivo experiments showed that compared with peripheral blood CD8+ T cells, CD103+CD8+ TRMs infused back into the body could also further promote CD8+ T cells to infiltrate the tumor, and they had a stronger ability to secrete IFN-γ, which resulted in better anti-tumor effects.

conclusionWe demonstrated that CD103+CD8+ TRMs have the potential for clinical applications and provide new ideas for combined anti-tumor therapeutic strategies, such as anti-tumor angiogenesis therapy and CAR-T combined immunotherapy.

Indexed as

Antigens, CDCD8-Positive T-LymphocytesColorectal NeoplasmsImmunologic MemoryIntegrin alpha ChainsLiver NeoplasmsAnimalsBiomarkers, TumorFemaleHumansLymphocytes, Tumor-InfiltratingMaleMemory T CellsMiceMiddle AgedPrognosisalpha E integrinsAntigens, CDBiomarkers, TumorIntegrin alpha ChainsColorectal cancerImmunotherapyLiver metastasisPrognosisTissue-resident memory CD103+CD8+ T cell

Identifiers

PMID38954030
PMCPMC11219596

What OpenQuestion holds

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LicenceCC BY
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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.