Evidence map›Paper›PMID 38649381›Full record

ReviewCell death discovery2024

Tspan protein family: focusing on the occurrence, progression, and treatment of cancer.

Huhu Zhang, Qinghang Song, Kaiwen Shang, Ya Li, Liangqian Jiang, Lina Yang

Open access · goldAbstract readReview
In one paragraph

Review in Cell death discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
6.3field-weighted citation impact, top 3% 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, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. EchoVisuALL: From Echocardiography to Gene Discovery.bioRxiv : the preprint server for biology · 2026
    Article
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  8. Review
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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

6 authors at 2 institutions in 1 country.

Huhu Zhang *Department of Genetics and Cell Biology, Basic Medical College, Qingdao University, Qingdao, 266071, China.
Qinghang Song *Health Science Center, Qingdao University, Qingdao, 266071, China.
Kaiwen Shang *Health Science Center, Qingdao University, Qingdao, 266071, China.
Ya LiDepartment of Genetics and Cell Biology, Basic Medical College, Qingdao University, Qingdao, 266071, China.
Liangqian JiangDepartment of Medical Genetics, Linyi People's Hospital, Linyi, China.
Lina YangDepartment of Genetics and Cell Biology, Basic Medical College, Qingdao University, Qingdao, 266071, China. yanglina@qdu.edu.cn.ORCID http://orcid.org/0009-0009-8668-0433
Qingdao University · CNLinyi People's Hospital · CN

Funding

China Postdoctoral Science Foundation No.2020M682131China Postdoctoral Science Foundation No.2021T140357National Natural Science Foundation of China (National Science Foundation of China) No.81803985
6 · The paper itself

Abstract

The Tetraspanins (Tspan) protein family, also known as the tetraspanin family, contains 33 family members that interact with other protein molecules such as integrins, adhesion molecules, and T cell receptors by forming dimers or heterodimers. The Tspan protein family regulates cell proliferation, cell cycle, invasion, migration, apoptosis, autophagy, tissue differentiation, and immune response. More and more studies have shown that Tspan proteins are involved in tumorigenesis, epithelial-mesenchymal transition, thrombosis, tumor stem cell, and exosome signaling. Some drugs and microRNAs can inhibit Tspan proteins, thus providing new strategies for tumor therapy. An in-depth understanding of the functions and regulatory mechanisms of the Tspan protein family, which can promote or inhibit tumor development, will provide new strategies for targeted interventions in the future.

Identifiers

PMID38649381
PMCPMC11035590
OpenAlexW4395010350

What Socratic 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 Socratic graph.