Evidence map›Paper›PMID 34149914›Full record

ReviewJournal of Cancer2021

Prognostic and Therapeutic Significance of BTN3A Proteins in Tumors.

Sihan Chen, Zhangyun Li, Wenyi Huang, Yanyan Wang, Shaohua Fan

Open access · goldAbstract readReview
In one paragraph

Review in Journal of Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. γ9δ2 T cells detect mevalonate diphosphate via BTN3A3.Cellular and molecular life sciences : CMLS · 2025
    Article
  5. A comprehensive clinico-pathological review of a series of pediatric, adolescents and young adults with high-grade osteosarcoma: from clinics to biomarker discovery.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. 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

5 authors at 1 institution in 1 country.

Sihan ChenSchool of Life Science, Jiangsu Normal University, Xuzhou, Jiangsu, China.
Zhangyun LiSchool of Life Science, Jiangsu Normal University, Xuzhou, Jiangsu, China.
Wenyi HuangSchool of Life Science, Jiangsu Normal University, Xuzhou, Jiangsu, China.
Yanyan WangDepartment of Ultrasonic Medicine, Xuzhou First People's Hospital, Jiangsu, China.
Shaohua FanSchool of Life Science, Jiangsu Normal University, Xuzhou, Jiangsu, China.
Jiangsu Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Butyrophilin 3A (BTN3A) family is a type I transmembrane protein belonging to the immunoglobulin (Ig) superfamily. The family contains three members: BTN3A1, BTN3A2 and BTN3A3, which share 95% homology in the extracellular domain. The expression of BTN3A family members is different in different types of tumors, which plays an important role in tumor prognosis. Among them, there are many studies on tumor immunity of BTN3A1, which shows that it is essential for the activation of Vγ9Vδ2 T cells, while BTN3A3 is expected to become a potential therapeutic target for breast cancer. Recent studies have shown that the BTN3A family is closely related to the occurrence and development of tumors. Now the BTN3A family has become one of the research hotspots and is expected to become new tumor prediction and treatment targets.

Indexed as

Butyrophilin 3APrognosisTumor

Identifiers

PMID34149914
PMCPMC8210570
OpenAlexW3169922902

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.