Evidence map›Paper›PMID 36628250›Full record

ArticleAmerican journal of translational research2022

Deciphering cervical cancer-associated biomarkers by integrated multi-omics approach.

Xuhong Li, Mostafa A Abdel-Maksoud, Iqra Iqbal, Ayman Mubarak, Mohamed A Farrag, Muhammad Haris, Sumaiah Alghamdi, Qurat Ul Ain, Sally Almekhlafi

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. The role and therapeutic value of NUSAP1 in human cancers.Journal of translational medicine · 2025
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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

9 authors at 4 institutions in 3 countries.

Xuhong LiDepartment of Gynaecology and Obstetrics, Shanghai Eighth People's Hospital Shanghai, China.
Mostafa A Abdel-MaksoudDepartment of Botany and Microbiology, College of Science, King Saud University P.O. 2455, Riyadh 11451, Saudi Arabia.
Iqra IqbalAzra Naheed Medical College Lahore, Pakistan.
Ayman MubarakDepartment of Botany and Microbiology, College of Science, King Saud University P.O. 2455, Riyadh 11451, Saudi Arabia.
Mohamed A FarragDepartment of Botany and Microbiology, College of Science, King Saud University P.O. 2455, Riyadh 11451, Saudi Arabia.
Muhammad HarisDepartment of Anatomy, Institute of Basic Medical Sciences, Khyber Medical University Peshawar, Pakistan.
Sumaiah AlghamdiDepartment of Botany and Microbiology, College of Science, King Saud University P.O. 2455, Riyadh 11451, Saudi Arabia.
Qurat Ul AinAnhui Provincial Hospital, Division of Life Science and Medicine, University of Science and Technology China Hefei, Anhui, China.
Sally AlmekhlafiDepartment of Botany and Microbiology, College of Science, King Saud University P.O. 2455, Riyadh 11451, Saudi Arabia.
King Saud University · SAAnhui Provincial Hospital · CNKhyber Medical University · PKShanghai Eighth People Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCervical Squamous Cell Carcinoma (CESC) is one of the most fatal female malignancies, and the underlying molecular mechanisms governing this disease have not been fully explored. In this research, we planned to conduct the analysis of Gene Expression Omnibus (GEO) cervical squamous cell carcinoma microarray datasets by a detailed

methodsThe top commonly differentially expressed genes (DEGs) from the GSE138080 and GSE113942 datasets were analyzed by Limma package-based GEO2R tool. The protein-protein interaction (PPI) network of the DEGs was drawn through Search Tool for the Retrieval of Interacting Genes (STRING), and top 6 hub genes were obtained from Cytoscape. Expression analysis and validation of hub genes expression in CESC samples and cell lines were done using UALCAN, OncoDB, GENT2, and HPA. Additionally, cBioPortal, Gene set enrichment analysis (GSEA) tool, Kaplan-Meier (KM) plotter, ShinyGO, and DGIdb databases were also used to check some important values of hub genes in CESC.

resultsOut of 79 DEGs, the minichromosome maintenance complex component 4 (MCM4), nucleolar and spindle-associated protein 1 (NUSAP1), cell division cycle associated 5 (CDCA5), cell division cycle 45 (CDC45), denticleless E3 ubiquitin protein ligase homolog (DTL), and chromatin licensing and DNA replication factor 1 (CDT1) genes were regarded as hub genes in CESC. Further analysis revealed that the expressions of all these hub genes were significantly elevated in CESC cell lines and samples of diverse clinical attributes. In this study, we also documented some important correlations between hub genes and some other diverse measures, including DNA methylation, genetic alterations, and Overall Survival (OS). Last, we also identify hub genes associated ceRNA network and 31 important chemotherapeutic drugs.

conclusionThrough detailed

Indexed as

biomarkersCervical cancerchemotherapeutic drugshub genes

Identifiers

PMID36628250
PMCPMC9827308
OpenAlexW4315620663

What OpenQuestion holds

Textmetadata
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.