Evidence map›Paper›PMID 35991561›Full record

ArticleFrontiers in genetics2022

A transmembrane protein family gene signature for overall survival prediction in osteosarcoma.

Yuehui Du, Xiaohui Zeng, Weiwei Yu, Wei Xie

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  6. Comprehensive pan-cancer analysis reveals prognostic implications of TMEM92 in the tumor immune microenvironment.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  7. Article
  8. [TMEM64 is highly expressed in hepatocellular carcinoma and promotes tumor cell proliferation and invasion].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
    Article
  9. 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

4 authors at 1 institution in 1 country.

Yuehui DuDepartment of Orthopedics, Pu'ai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaohui ZengDepartment of Orthopedics, Pu'ai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Weiwei YuDepartment of Orthopedics, Pu'ai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wei XieDepartment of Orthopedics, Pu'ai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transmembrane (TMEM) protein family is constituted by a large number of proteins that span the lipid bilayer. Dysregulation of TMEM protein genes widely occurs and is associated with clinical outcomes of patients with multiple tumors. Nonetheless, the significance of TMEM genes in the prognosis prediction of patients with osteosarcoma remains largely unclear. Here, we comprehensively analyzed TMEM protein family genes in osteosarcoma using public resources and bioinformatics methods. Prognosis-related TMEM protein family genes were identified by the univariate Cox regression analysis and were utilized to construct a signature based on six TMEM protein family genes (

Indexed as

immune microenvironmentosteosarcomaprognosissignaturetransmembrane protein family

Identifiers

PMID35991561
PMCPMC9388755
OpenAlexW4289890984

What OpenQuestion holds

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LicenceCC BY
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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.