Evidence map›Paper›PMID 25767469›Full record

ArticleFrontiers in immunology2015

CD4+CD25+CD127(low) Regulatory T Cells Play Predominant Anti-Tumor Suppressive Role in Hepatitis B Virus-Associated Hepatocellular Carcinoma.

Shreya Sharma, Ritu Khosla, Paul David, Archana Rastogi, Ashish Vyas, Dileep Singh, Ankit Bhardwaj, Amrish Sahney, Rakhi Maiwall, Shiv Kumar Sarin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Review
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  6. Uterine CommensalBiomedicines · 2024
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  9. Peripheral CD4BMC gastroenterology · 2023
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  11. Review
  12. Review
  13. Article
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  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Reduction of FoxP3Annals of translational medicine · 2020
    Article
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 1 institution in 1 country.

Shreya SharmaDepartment of Research, Institute of Liver and Biliary Sciences , New Delhi , India.
Ritu KhoslaDepartment of Research, Institute of Liver and Biliary Sciences , New Delhi , India.
Paul DavidDepartment of Research, Institute of Liver and Biliary Sciences , New Delhi , India.
Archana RastogiDepartment of Pathology, Institute of Liver and Biliary Sciences , New Delhi , India.
Ashish VyasDepartment of Research, Institute of Liver and Biliary Sciences , New Delhi , India.
Dileep SinghDepartment of Research, Institute of Liver and Biliary Sciences , New Delhi , India.
Ankit BhardwajDepartment of Hepatology, Institute of Liver and Biliary Sciences , New Delhi , India.
Amrish SahneyDepartment of Hepatology, Institute of Liver and Biliary Sciences , New Delhi , India.
Rakhi MaiwallDepartment of Hepatology, Institute of Liver and Biliary Sciences , New Delhi , India.
Shiv Kumar SarinDepartment of Hepatology, Institute of Liver and Biliary Sciences , New Delhi , India.
Nirupma TrehanpatiDepartment of Research, Institute of Liver and Biliary Sciences , New Delhi , India.
Institute of Liver and Biliary Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is the second leading cause of cancer death worldwide and hepatitis B is one of the commonest causes. T regulatory cells (Tregs) are strong immunomodulators and are likely to play a major role in HCC development. HBV infection is reported to induce expansion of Tregs. We investigated the CD4+CD25+CD127(-ve)FoxP3+ Tregs in HBV-related HCC as compared to non-HBV-HCC. PATIENTS AND

methodsWhole blood immunophenotyping was analyzed by multicolor flow cytometry in patients with HBV-related HCC (HBV-HCC, n = 17), non-HBV-HCC (n = 22; NASH = 16, alcohol-related = 6), and chronic hepatitis B infection (CHBV; n = 10). Tregs functionality was checked by in vitro suppression assays using CD4+ CD25+ CD127(low) Tregs. Levels of serum alpha-fetoprotein (AFP), expression of FoxP3, IL-10, PD1, TGF-β, and Notch in Tregs, and liver explants were analyzed by flow cytometry, immunohistochemistry, and quantitative RT-PCR.

resultsCD4+CD25+(hi) and Foxp3 expression in CD4+CD25+(hi)CD127(low) was significantly increased (P = 0.04, P = 0.007) in HBVHCC compared to non-HBVHCC and CHBV patients. HBVHCC also showed high IL-10 and TGF-β secreting CD4 + CD25 + (hi)Tregs. The PD1 expression in CD4 + CD25+(hi) was significantly decreased in the HBVHCC than non-HBVHCC. In HBVHCC, AFP levels were significantly high (median 941, range 2-727940) than non-HBVHCC (median 13.5, range 2-18,900). In HBVHCC, patients with high AFP (range; 3982-727940 ng/ml) showed positive correlation with Foxp3 expression in CD4+CD25+(hi) CD127(low) (r = 0.857, P = 0.014). Reduced PD1 expression in HBVHCC also had negative correlation with FOXP3 in CD4+CD25+(hi) CD127(low) (r = -0.78, P = 0.04). However, AFP levels in non-HBVHCC showed negative correlation with (R = -0.67, P = 0.005) with CD4+CD25+(hi) Tregs.

conclusionOur results demonstrate that CD4+ CD25+(hi) Tregs from HBVHCC patients have decreased expression of PD1, resulting in higher IL-10 and TGF-β secretion. Increased suppressive ability of Tregs in HBV-related HCC confers increased anti-tumor suppressive response than in non-HBV-HCC. Modulation of Tregs and PD1 may serve as useful therapeutic targets.

Indexed as

alpha-fetoproteinhepatitis B virushepatocellular carcinomatransforming growth factor-βT regulatory cells

Identifiers

PMID25767469
PMCPMC4341117
OpenAlexW2088422604

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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.