Evidence map›Paper›PMID 37926757›Full record

ArticleScientific reports2023

Bioinformatics analysis and experimental validation of tumorigenic role of PPIA in gastric cancer.

Jichao Liu, Yanjun Wang, Zhiwei Zhao, Yanhui Ge

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

4 authors at 1 institution in 1 country.

Jichao Liu *Department of Gastrointestinal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Henan, China.
Yanjun Wang *Department of Vascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Henan, China.
Zhiwei ZhaoDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Henan, China.
Yanhui GeDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Henan, China. yanhui651587@163.com.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is a malignant tumor with high incidence rate and mortality. Due to the lack of effective diagnostic indicators, most patients are diagnosed in late stage and have a poor prognosis. An increasing number of studies have proved that Peptidylprolyl isomerase A (PPIA) can play an oncogene role in various cancer types. However, the precise mechanism of PPIA in GC is still unclear. Herein, we analyzed the mRNA levels of PPIA in pan-cancer. The prognostic value of PPIA on GC was also evaluated using multiple databases. Additionally, the relationship between PPIA expression and clinical factors in GC was also examined. We further confirmed that PPIA expression was not affected by genetic alteration and DNA methylation. Moreover, the upstream regulator miRNA and lncRNA of PPIA were identified, which suggested that LINC10232/miRNA-204-5p/PPIA axis might act as a potential biological pathway in GC. Finally, this study revealed that PPIA was negatively correlated with immune checkpoint expression, immune cell biomarkers, and immune cell infiltration in GC.

Indexed as

MicroRNAsPeptidylprolyl IsomeraseStomach NeoplasmsCarcinogenesisComputational BiologyHumansPrognosisMicroRNAsMIRN204 microRNA, humanPeptidylprolyl IsomerasePPIA protein, human

Identifiers

PMID37926757
PMCPMC10625987
OpenAlexW4388370924

What OpenQuestion holds

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LicenceCC BY
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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.