Evidence map›Paper›PMID 42365339›Full record

ArticleWorld journal of surgical oncology2026

Identification and validation of stemness-associated hub genes in cervical cancer: a bioinformatics and experimental study.

Shama Prasada Kabekkodu, Alfa Florence Rodrigues, Pratheeksha Hebbar, Samatha Bhat

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Article in World journal of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Shama Prasada KabekkoduDepartment of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India.
Alfa Florence RodriguesDepartment of Biotherapeutics Research, Manipal Academy of Higher Education, Manipal, India.
Pratheeksha HebbarDepartment of Biotherapeutics Research, Manipal Academy of Higher Education, Manipal, India.
Samatha BhatDepartment of Biotherapeutics Research, Manipal Academy of Higher Education, Manipal, India. samatha.bhat@manipal.edu.ORCID http://orcid.org/0009-0003-8692-7500

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer stem cells (CSCs) are a subpopulation with self-renewal and differentiation capacity that drive the progression, recurrence, and therapeutic resistance of patients with cervical cancer (CC). However, the complete set of genes that maintain stemness in CC remains incompletely defined. We aimed to identify key stemness-related genes and evaluate their prognostic utility, immune associations, and drug sensitivity. Through literature mining and CellMarker 2.0, we identified 1345 stemness-associated genes that overlapped with differentially expressed genes (DEGs) from the TCGA-CESC dataset (log2FC > 2, p < 0.05), yielding 216 stemness-related DEGs. A protein-protein interaction network (STRING) and CytoHubba (MCC algorithm) revealed ten hub genes (HGs): CCNB1, CCNA2, BUB1B, UBE2C, KIF11, CCNB2, KIF23, CDC20, CDC6, and FOXM1. Gene ontology and KEGG analyses revealed predominant enrichment in cell cycle progression. Cox regression and Kaplan‒Meier analyses identified BUB1B, CCNA2, CDC20, FOXM1, and KIF23 as risk factors for poor overall survival, with KIF11 emerging as an independent prognostic factor. HGs overexpression significantly correlated with altered infiltration of 15 immune cell types, including negative associations with CD8 + T and NK cells. We identified 661 unique drugs/chemicals targeting these HGs, including FDA-approved repurposed agents. Experimental validation via RT‒PCR confirmed significant overexpression of FOXM1 and KIF11 in CC tissues and cell lines compared with normal samples. These stemness-associated HGs, particularly FOXM1 and KIF11, may serve as potential prognostic biomarkers and therapeutic targets, warranting further investigation of stemness-driven CC progression.

Indexed as

Biomarkers, TumorComputational BiologyGene Expression Regulation, NeoplasticNeoplastic Stem CellsUterine Cervical NeoplasmsFemaleForkhead Box Protein M1Gene Expression ProfilingGene Regulatory NetworksHumansPrognosisProtein Interaction MapsBiomarkers, TumorForkhead Box Protein M1FOXM1 protein, humanCervical cancerdifferential expressionhub genesimmune infiltrationprognostic markerstem cells

Identifiers

PMID42365339
PMCPMC13573471

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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.