Evidence mapPaperPMID 40950697Full record

ArticleTranslational cancer research2025

Identification of mechanosensitive ion channel-related molecular subtypes and key genes for ovarian cancer.

Lu Zhang, Li Wang, Min Wang, Kefei Peng, Huihui Chen, Xin Wang, Ling Zhou

Abstract read
In one paragraph

Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

7 authors.

Lu Zhang *Obstetrics and Gynecology, Ninth Medical Center of the People's Liberation Army General Hospital, Beijing, China.
Li Wang *Nursing Department, Ninth Medical Center of the People's Liberation Army General Hospital, Beijing, China.
Min WangObstetrics and Gynecology, Ninth Medical Center of the People's Liberation Army General Hospital, Beijing, China.
Kefei PengObstetrics and Gynecology, Ninth Medical Center of the People's Liberation Army General Hospital, Beijing, China.
Huihui ChenObstetrics and Gynecology, Ninth Medical Center of the People's Liberation Army General Hospital, Beijing, China.
Xin WangObstetrics and Gynecology, Ninth Medical Center of the People's Liberation Army General Hospital, Beijing, China.
Ling ZhouObstetrics and Gynecology, Ninth Medical Center of the People's Liberation Army General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ovarian cancer (OC) is a significant health concern due to the complex nature of its causes, difficulties in early detection, and low 5-year survival rate. The function of mechanosensitive ion channel (MIC)-related prognostic gene signatures in OC is still not clearly defined. Our aim was to clarify the function of the MIC in OC. Methods: We created OC subtypes and a prognostic model based on MICs to forecast patient outcomes using RNA sequencing and clinical data from The Cancer Genome Atlas (TCGA) database. Results: In this study, the top 20 genes were identified based on their relevance scores and included Conclusions: This study initially identified unique molecular subtypes and key genes for patients with OC from the novel angle of MICs.

Indexed as

mechanosensitive ion channel (MIC)molecular subtypeOvarian cancer (OC)prognostic model

Identifiers

PMID40950697
PMCPMC12432766

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.