Evidence map›Paper›PMID 35003215›Full record

ArticleFrontiers in genetics2021

Identification of Potential Hub Genes and miRNA-mRNA Pairs Related to the Progression and Prognosis of Cervical Cancer Through Integrated Bioinformatics Analysis.

Mingxu Fu, Yongyan Pei, Fang Lu, Huici Jiang, Yingying Bi, Jiajing Cheng, Jinlong Qin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. DNMT Enzymes and Their Impact on Cervical Cancer: A State-of-the-Art Review.International journal of molecular sciences · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

7 authors at 2 institutions in 1 country.

Mingxu FuDepartment of Obstetrics and Gynecology, Shanghai Fourth People 's Hospital, School of Medicine, Tongji University, Shanghai, China.
Yongyan PeiSchool of Medicine and Chemical Engineering, Guangdong Pharmaceutical University, Guangzhou, China.
Fang LuDepartment of Obstetrics and Gynecology, Shanghai Fourth People 's Hospital, School of Medicine, Tongji University, Shanghai, China.
Huici JiangDepartment of Obstetrics and Gynecology, Shanghai Fourth People 's Hospital, School of Medicine, Tongji University, Shanghai, China.
Yingying BiDepartment of Obstetrics and Gynecology, Shanghai Fourth People 's Hospital, School of Medicine, Tongji University, Shanghai, China.
Jiajing ChengDepartment of Obstetrics and Gynecology, Shanghai Fourth People 's Hospital, School of Medicine, Tongji University, Shanghai, China.
Jinlong QinDepartment of Obstetrics and Gynecology, Shanghai Fourth People 's Hospital, School of Medicine, Tongji University, Shanghai, China.
Tongji University · CNGuangdong Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the incidence and mortality of cervical cancer have increased worldwide. At the same time, increasing data have confirmed that miRNA-mRNA plays a positive or negative regulatory role in many cancers. This study attempted to screen effective miRNA-mRNA in the progression of cervical cancer, and to study the mechanism of miRNA-mRNA in the progression of cervical cancer. The expression profile data of GSE7410, GSE 63514, GSE 86100 and TCGA-CESC were downloaded, and 34 overlapping differentially expressed genes (22 up-regulated and 12 down-regulated) and 166 miRNAs (74 down-regulated and 92 up-regulated) were screened through limma package. Then, miR-197-3p/TYMS pairs were obtained by PPI, functional enrichment, Kaplan-Meier plotter analysis, Cox univariate and multivariate analysis, risk modeling, WGCNA, qPCR and dual-luciferase experiments. The results showed that TYMS was an independent prognostic factor of cervical cancer, and its expression level was negatively correlated with cervical cancer tissue grade (TMN), tumor grade, age, microsatellite stability and tumor mutation load, and positively correlated with methyl expression in DNMT1, DNMT2, DNMT3A and DNMT3B. Functional experiments showed that TYMS knockout could promote the proliferation, migration and invasion of HeLa cells and reduce apoptosis. Overexpression of TYMS showed the opposite trend, miR-197-3p was negatively correlated with the expression of TYMS. MiR-197-3p inhibitor reversed the effect of si-TYMS on the proliferation of HeLa cells. In conclusion, these results reveal that TYMS plays a very important role in the prognosis and progression of cervical cancer, and has the potential to be thought of as cervical cancer biomarkers. At the same time, miR-197-3p/TYMS axis can regulate the deterioration of cervical cancer cells, which lays a foundation for the molecular diagnosis and treatment of cervical cancer.

Indexed as

apoptosiscervical cancerinvasion and migrationmiR-197-3p/TYMSproliferation

Identifiers

PMID35003215
PMCPMC8727538
OpenAlexW4200178243

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.