Evidence map›Paper›PMID 29625613›Full record

ReviewJournal of translational medicine2018

CD109 and squamous cell carcinoma.

Ruixia Qi, Fengyun Dong, Qiang Liu, Yoshiki Murakumo, Ju Liu

Open access · goldAbstract readReview
In one paragraph

Review in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. TGF-β superfamily co-receptors in cancer.Developmental dynamics : an official publication of the American Association of Anatomists · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

5 authors at 2 institutions in 2 countries.

Ruixia QiTaishan Medical College, Tai'an, Shandong, China.
Fengyun DongLaboratory of Microvascular Medicine, Medical Research Center, Shandong Provincial Qianfoshan Hospital, Shandong University, 16766 Jingshi Road, Jinan, 250014, Shandong, China.
Qiang LiuLaboratory of Microvascular Medicine, Medical Research Center, Shandong Provincial Qianfoshan Hospital, Shandong University, 16766 Jingshi Road, Jinan, 250014, Shandong, China.
Yoshiki MurakumoDepartment of Pathology, Kitasato University School of Medicine, Sagamihara, Japan.
Ju LiuLaboratory of Microvascular Medicine, Medical Research Center, Shandong Provincial Qianfoshan Hospital, Shandong University, 16766 Jingshi Road, Jinan, 250014, Shandong, China. ju.liu@sdu.edu.cn.ORCID 0000-0001-9932-2613
Shandong University · CNKitasato University · JP

Funding

The National Natural Science Foundation of China 81370269The National Natural Science Foundation of China 81570255
6 · The paper itself

Abstract

Squamous cell carcinoma (SCC) is well-known for its high rate of metastasis with poor prognosis. CD109 is a glycosylphosphatidylinositol-anchored cell-surface glycoprotein. Recently, CD109 emerges as a potential biomarker and a therapeutic target for SCCs. Accumulating studies have reported that CD109 is highly expressed in human SCCs of multiple organs, and may contribute to the progression of SCCs. In this review, we summarized the findings on expression pattern of CD109 in SCCs, and discussed the molecular mechanisms underlying the roles of CD109 in pathogenesis of SCCs.

Indexed as

Antigens, CDCarcinoma, Squamous CellHumansModels, BiologicalSignal TransductionTransforming Growth Factor betaAntigens, CDTransforming Growth Factor betaCD109Squamous cell carcinoma (SCC)STAT3TGF-β signaling pathway

Identifiers

PMID29625613
PMCPMC5889571
OpenAlexW2802519436

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.