Evidence map›Paper›PMID 32659053›Full record

ArticleClinical and translational medicine2020

Analysis of single-cell RNAseq identifies transitional states of T cells associated with hepatocellular carcinoma.

Yanying Yang, Fangming Liu, Weiren Liu, Mingyue Ma, Jie Gao, Yan Lu, Li-Hao Huang, Xiaoying Li, Yinghong Shi, Xiangdong Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
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  6. FBXO family genes promotes hepatocellular carcinoma via ubiquitination of p53.Journal of cancer research and clinical oncology · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. New insights into T-cell exhaustion in liver cancer: from mechanism to therapy.Journal of cancer research and clinical oncology · 2023
    Review
  12. Article
  13. Article
  14. Review
  15. 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

11 authors at 3 institutions in 2 countries.

Yanying YangDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Key Laboratory of Metabolism and Molecular Medicine, the Ministry of Education, Fudan University, Shanghai, China.
Fangming LiuInstitute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.
Weiren LiuLiver Surgery Department of Zhongshan Hospital, Fudan University, Shanghai, China.
Mingyue MaDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Key Laboratory of Metabolism and Molecular Medicine, the Ministry of Education, Fudan University, Shanghai, China.
Jie GaoInstitute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.
Yan LuDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Key Laboratory of Metabolism and Molecular Medicine, the Ministry of Education, Fudan University, Shanghai, China.
Li-Hao HuangDepartment of Pathology & Immunology, Washington University School of Medicine, Saint Louis, Missouri.
Xiaoying LiDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Key Laboratory of Metabolism and Molecular Medicine, the Ministry of Education, Fudan University, Shanghai, China.
Yinghong ShiLiver Surgery Department of Zhongshan Hospital, Fudan University, Shanghai, China.
Xiangdong WangInstitute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.
Duojiao WuInstitute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-2562-8825
Sun Yat-sen University · CNFudan University · CNWashington University in St. Louis · US

Funding

Health Bureau scientific research found projects 201740101National Natural Science Foundation of China 81771672Shanghai Pujiang Program 17PJD006
6 · The paper itself

Abstract

backgroundExhausted T cells and regulatory T cells (Tregs) comprise diverse subsets of tumor immunosuppressive microenvironment that play key roles in tumor progress. Understanding subset diversity in T cells is a critical question for developing cancer immunotherapy.

methodsA total of 235 specimens from surgical resections of hepatocellular carcinoma (HCC) patients were examined for infiltration of exhausted T cell (Tex) in tumor and adjacent tissue. We conducted deep single-cell targeted immune profiling on CD3

resultsWe observed transitional differentiation of exhausted CD8

conclusionsT cell exhaustion is a progressive process, and the gene-expression profiling displayed T cell exhaustion and anergy are different. Accordingly, it is possible that functional exhaustion is caused by the combination effects of passive defects and overactivation in stress response. The results help to understand the dynamic framework of T cells function in cancer which is important for designing rational cancer immunotherapies.

Indexed as

CD8 T cellexhaustionhepatocellular carcinomaregulatory T cell

Identifiers

PMID32659053
PMCPMC7418813
OpenAlexW3043005329

What OpenQuestion holds

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LicenceCC BY
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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.