Evidence map›Paper›PMID 35813831›Full record

ArticleFrontiers in molecular biosciences2022

TRPs in Ovarian Serous Cystadenocarcinoma: The Expression Patterns, Prognostic Roles, and Potential Therapeutic Targets.

Cheng Zhang, Cong Xu, Chuanshun Ma, Qinghua Zhang, Siyuan Bu, Dao-Lai Zhang, Liting Yu, Hongmei Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Bioinformatic Approach to Identify PotentialInternational journal of molecular sciences · 2025
    Article
  4. Review
  5. Article
  6. 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

8 authors at 3 institutions in 1 country.

Cheng ZhangDepartment of Protein and Antibody Engineering, School of Pharmacy, Binzhou Medical University, Yantai, China.
Cong XuDepartment of Protein and Antibody Engineering, School of Pharmacy, Binzhou Medical University, Yantai, China.
Chuanshun MaDepartment of Protein and Antibody Engineering, School of Pharmacy, Binzhou Medical University, Yantai, China.
Qinghua ZhangDepartment of Protein and Antibody Engineering, School of Pharmacy, Binzhou Medical University, Yantai, China.
Siyuan BuDepartment of Pharmacology, School of Medicine, Southeast University, Dingjiaqiao 87, Nanjing, China.
Dao-Lai ZhangDepartment of Protein and Antibody Engineering, School of Pharmacy, Binzhou Medical University, Yantai, China.
Liting YuDepartment of Protein and Antibody Engineering, School of Pharmacy, Binzhou Medical University, Yantai, China.
Hongmei WangDepartment of Protein and Antibody Engineering, School of Pharmacy, Binzhou Medical University, Yantai, China.
Binzhou University · CNBinzhou Medical University · CNSoutheast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (usually ovarian serous cystadenocarcinoma, or OV) is the fifth leading cause of cancer-related deaths in women, with more than 184,000 deaths reported worldwide annually, and is a highly malignant carcinoma. However, the mechanism of etiology remains unclear. The lack of prognostic and diagnostic biomarkers is a main limitation for clinical diagnosis and treatment. The transient receptor potential (TRP) channels play essential roles in the occurrence and development of cancers which may have the potential as a therapeutic target for OV. In our study, we used bioinformatic methods to study the potential effect and function of the TRP family in patients with OV. Differential expression analysis showed that the expression of TRPC7, TRPV4, and other TRP family members was significantly different between tumor and normal tissues. Through survival analysis, we screened out that the high expression of TRPC7, TRPV4, and TRPM (2,4,8) was negatively correlated with the prognosis of patients. In contrast, the low expression of TRPM3 was negatively associated with the prognosis. Cox regression analysis further indicated that TRPV4 was OV's most likely therapeutic target. Finally, we conducted mRNA expression analysis, functional enrichment analysis, and immune infiltration analysis to confirm that TRPV4 was the most convincing therapeutic target of OV.

Indexed as

bioinformaticbiomarkerovarian cancer (OV)therapeutic targettransient receptor potential (TRP) channel

Identifiers

PMID35813831
PMCPMC9263218
OpenAlexW4283370025

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.