Evidence map›Paper›PMID 33952272›Full record

ArticleCancer cell international2021

Pentraxin 3 is a diagnostic and prognostic marker for ovarian epithelial cancer patients based on comprehensive bioinformatics and experiments.

Xiaoying Chang, Dan Li, Chang Liu, Zhe Zhang, Tao Wang

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2021. 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 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Role of long pentraxin PTX3 in cancer.Clinical and experimental medicine · 2023
    Review
  7. Insights into the Relationship between Pentraxin-3 and Cancer.International journal of molecular sciences · 2022
    Review
  8. Article
  9. STAT3 Activates the Pentraxin 3 Gene in Chronic Lymphocytic Leukemia Cells.Journal of immunology (Baltimore, Md. : 1950) · 2022
    Article
  10. Identification of CD8Frontiers in genetics · 2022
    Article
  11. Review
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 1 country.

Xiaoying ChangDepartment of Pathology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping, Shenyang, 110004, China.
Dan LiDepartment of Pathology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping, Shenyang, 110004, China.
Chang LiuDepartment of Pathology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping, Shenyang, 110004, China.
Zhe ZhangDepartment of Pathology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping, Shenyang, 110004, China.
Tao WangDepartment of Pathology, Shenyang KingMed Center for Clinical Laboratory Co., Ltd, Shenyang, 110164, China. sy-wangtao@kingmed.com.cn.ORCID http://orcid.org/0000-0001-6931-5789
China Medical University · CNKingmed Diagnostics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian epithelial cancer is one of the leading malignant tumors in gynecology and lacks effective diagnostic and prognostic markers. Our study aims to screen and verify ovarian epithelial cancer biomarkers.

methodsGSE18520 and GSE26712 were downloaded from the GEO database. The "limma" and "WGCNA" packages were used to explore hub genes. The Kaplan-Meier Plotter database was used for survival analysis of the hub genes. Immunohistochemical analysis was used to identify the expression level of Pentraxin 3 in ovarian epithelial cancer samples.

resultsIn this study, we integrated and analyzed two datasets, GSE18520 and GSE26712, and a total of 238 differentially expressed genes (DEGs) were screened out. Enrichment analysis showed that these DEGs were related to collagen-containing extracellular matrix and other pathways. Further application of WGCNA (weighted gene coexpression network analysis) identified 15 gene modules, with the purple module showing the highest correlation with ovarian epithelial cancer. Twenty-five genes were shared between the purple module and DEGs, 13 genes were related to the prognosis of ovarian epithelial cancer patients, and the PTX3 gene had the highest hazardous risk (HR) value. We performed immunohistochemical analyses on the 255 Pentraxin-3 (PTX3)-based clinical samples. PTX3 was found to be overexpressed in ovarian epithelial cancer and related to the degree of differentiation. The Cox proportional hazard model indicates that high PTX3 expression is an independent risk factor for the prognosis of ovarian epithelial cancer patients.

conclusionsIn conclusion, through WGCNA and a series of comprehensive bioinformatics analyses, PTX3 was first identified as a novel diagnostic and prognostic biomarker for ovarian epithelial cancer.

Indexed as

BiomarkerOvarian epithelial cancerPrognosisPTX3WGCNA

Identifiers

PMID33952272
PMCPMC8097951
OpenAlexW3158636122

What Socratic 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 Socratic graph.