Evidence map›Paper›PMID 35692779›Full record

ArticleFrontiers in oncology2022

MSLN Correlates With Immune Infiltration and Chemoresistance as a Prognostic Biomarker in Ovarian Cancer.

Yike Li, Wanjia Tian, Hong Zhang, Zhijian Zhang, Qinghe Zhao, Lei Chang, Ningjing Lei, Weiwei Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 30 citations in OpenAlex.

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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 2 institutions in 1 country.

Yike LiDepartment of Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wanjia TianDepartment of Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hong ZhangSchool of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China.
Zhijian ZhangSchool of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China.
Qinghe ZhaoDepartment of Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Lei ChangDepartment of Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ningjing LeiSchool of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China.
Weiwei ZhangDepartment of Gynecology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesothelin (MSLN) is a glycoprotein with various expression degrees in different tumors including mesothelioma, ovarian cancer, pancreatic cancer, etc. MSLN is considered to play an important role in cell survival, proliferation, and tumor progression. Although the expression of MSLN in tumors makes it a potential therapeutic target, its mechanism of action is still unclear, especially its correlation with immune cells infiltration in the tumor microenvironment has not been investigated. In this study, we detected the overexpression of MSLN in ovarian cancer using database analysis and tissue-array staining. We further evaluated the diagnostic value of MSLN and found it was associated with poor overall survival in ovarian cancer. In addition, the high expression of MSLN was significantly related to the immune-related genes and chemoresistant genes. We confirmed the overexpression of MSLN in the chemoresistant ovarian cancer cell lines. Our research suggests that MSLN participates in a variety of pathways related to the suppression of immune activation and promotion of chemoresistance, leading to a poor prognosis in ovarian cancer.

Indexed as

bioinformatics analysischemoresistancemesothelinovarian cancerprognostic biomarker

Identifiers

PMID35692779
PMCPMC9174524
OpenAlexW4281486578

What OpenQuestion holds

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LicenceCC BY
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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.