Evidence map›Paper›PMID 39674628›Full record

ArticleJournal, genetic engineering & biotechnology2024

Integrated analysis of hub genes and intrinsically disordered regions in triple-negative breast cancer.

Azhar Iqbal, Faisal Ali, Sulaiman Ali Alharbi, Muhammad Sajid, Saleh Alfarraj, Momina Hussain, Tehmina Siddique, Rakhshanda Mustaq, Fakhra Shafique, Muhammad Sarfaraz Iqbal

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. 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

10 authors.

Azhar IqbalDepartment of Biotechnology, Faculty of Life Sciences, University of Okara, Okara 56300, Pakistan.
Faisal AliDepartment of Biotechnology, Faculty of Life Sciences, University of Okara, Okara 56300, Pakistan.
Sulaiman Ali AlharbiDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia. Electronic address: sharbi@ksu.edu.sa.
Muhammad SajidDepartment of Biotechnology, Faculty of Life Sciences, University of Okara, Okara 56300, Pakistan. Electronic address: sajid@uo.edu.pk.
Saleh AlfarrajZoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia. Electronic address: salfarraj@hotmail.com.
Momina HussainDepartment of Biotechnology, Faculty of Life Sciences, University of Okara, Okara 56300, Pakistan.
Tehmina SiddiqueDepartment of Biotechnology, Faculty of Life Sciences, University of Okara, Okara 56300, Pakistan.
Rakhshanda MustaqDepartment of Biotechnology, Faculty of Life Sciences, University of Okara, Okara 56300, Pakistan.
Fakhra ShafiqueDistrict Headquarters Hospital (DHQ), Rawalpindi, Pakistan.
Muhammad Sarfaraz IqbalDepartment of Urology, Minimally Invasive Surgery Center, Guangdong Key Laboratory of Urology, Guangzhou Urology Research Institute, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. Electronic address: Sarfaraz2250@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is the most prevalent breast cancer subtype. Its prognosis is poor because there are no effective treatment targets. Despite several attempts, the molecular pathways of TNBC remain unknown, posing a significant clinical barrier in the search for viable targets. Two microarray datasets were used to identify possible targets for TNBC, GSE38959 and GSE45827, retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in TNBC samples compared with normal samples were identified using the GEO2R program. KEGG pathway enrichment and Gene Ontology functions were assessed for DEG pathways and functional annotation using ShinyGO 0.77. The STRING database and Cytoscape program were used for protein-protein interaction (PPI) analysis. Furthermore, we evaluated the predictive significance of hub gene expression in TNBC patients using the GEPIA2 online tool. We developed a comprehensive technique to assess whether intrinsically disordered regions (IDRs) are present in the TNBC hub genes. There were 48 DEGs were identified, all of which were upregulated. A putative protein complex containing these four core genes was selected for further analysis. Breast cancer patients with TTK, TOP2A, CENPF, and CCNA2 upregulation had a poor prognosis; TTK and CCNA2 were partially disordered, whereas TOP2A and CENPF were primarily disordered, according to IDR analysis. According to our study, TOP2A and CENPF may be useful therapeutic targets for disruption of the TNBC PPI network.

Indexed as

And survival analysisDifferently expressed genesGene Expression OmnibusProtein-protein interactionsShinyGOTriple-negative breast cancer

Identifiers

PMID39674628
PMCPMC11378900

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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.