Evidence map›Paper›PMID 37909009›Full record

ArticleFrontiers in oncology2023

Protein disulfide isomerase A3 as novel biomarker for endometrial cancer.

Fanrong Yu, Xin Liu, Min Li, Xiufen Liu, Xintai Wang, Meixiang Guo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 3 institutions in 1 country.

Fanrong YuDepartment of Obstetrics and Gynecology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China.
Xin LiuDepartment of Pathology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China.
Min LiDepartment of Pathology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China.
Xiufen LiuDepartment of Pathology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China.
Xintai WangSchool of Information Science and Technology, Dalian Maritime University, Dalian, China.
Meixiang GuoDepartment of General Practice, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China.
Shanghai Jiao Tong University · CNShanghai Sixth People's Hospital · CNDalian Maritime University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to investigate the potential of PDIA3 as a novel prognostic biomarker and therapeutic target for Endometrial Cancer (EC) with the ultimate goal of improving survival rates in EC patients. Methods: This study employed a combination of public database analysis and clinical tissue sample assays. The analysis included comparing the gene expression of PDIA3 between EC and adjacent paracancerous tissues, investigating this expression status using qPCR and immunohistochemistry (IHC) assays, studying the correlation of expression with different parameters using Chi-square test, Cox Regression, and log-rank test, as well as exploring the PDIA3-related immune infiltration and metabolic pathway using TIMER and GSEA. Results: The analysis of public datasets revealed that PDIA3 mRNA and protein expression was significantly higher in EC tissues compared to adjacent tissues (P = 4.1e-03, P = 1.95e-14, and P = 1.6e-27, respectively). The qPCR analysis supported this finding (P = 0.029). IHC analysis revealed a significant increase in PDIA3 expression in endometrial cancer (EC) tissues compared to adjacent normal tissues (P = 0.01). Furthermore, PDIA3 expression showed significant correlations with cancer stage and tumor grade. Multivariate Cox regression analysis suggested that the PDIA3 gene holds promise as a prognostic factor for EC patients (HR = 0.47, 95% CI [0.27, 0.82], P = 0.008). The results from TIMER demonstrated a positive correlation between PDIA3 and tumor-infiltrating CD8 T cells and macrophages, and a negative correlation with tumor-infiltrating CD4 T cells. Additionally, the GSEA results indicated that PDIA3 overexpression was associated with various metabolic processes in EC patients. Conclusion: PDIA3 has been validated as a potential biomarker for EC, and its expression is further associated with pathological staging and prognosis.

Indexed as

endometrial cancernovel biomarkerPDIA3prognosisprotein expression

Identifiers

PMID37909009
PMCPMC10614013
OpenAlexW4387671745

What OpenQuestion 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 OpenQuestion graph.