Evidence map›Paper›PMID 33598101›Full record

ArticleComputational and structural biotechnology journal2021

Systems biology analysis identifies

Jae-Won Cho, Jimin Son, Sang-Jun Ha, Insuk Lee

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. 4-1BBCell reports. Medicine · 2025
    Trial
  3. Article
  4. Article
  5. Article
  6. Prostaglandin EProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. CD137-expressing regulatory T cells in cancer and autoimmune diseases.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. International journal of molecular sciences · 2024
    Article
  18. Review
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Jae-Won ChoDepartment of Biotechnology, College of Life Science & Biotechnology, Yonsei University, Seoul 03722, Republic of Korea.
Jimin SonDepartment of Biochemistry, College of Life Science & Biotechnology, Yonsei University, Seoul 03722, Republic of Korea.
Sang-Jun HaDepartment of Biochemistry, College of Life Science & Biotechnology, Yonsei University, Seoul 03722, Republic of Korea.
Insuk LeeDepartment of Biotechnology, College of Life Science & Biotechnology, Yonsei University, Seoul 03722, Republic of Korea.
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regulatory T cells (Tregs) are enriched in the tumor microenvironment and play key roles in immune evasion of cancer cells. Cell surface markers specific for tumor-infiltrating Tregs (TI-Tregs) can be effectively targeted to enhance antitumor immunity and used for stratification of immunotherapy outcomes. Here, we present a systems biology approach to identify functional cell surface markers for TI-Tregs. We selected differentially expressed genes for surface proteins of TI-Tregs and compared these with other CD4

Indexed as

Context associated hubCoregulatory networkFunctional markersTumor-infiltrating regulatory T cellTumor microenvironment

Identifiers

PMID33598101
PMCPMC7851794
OpenAlexW3125895942

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.