Evidence map›Paper›PMID 42420905›Full record

ArticleBMC cancer2026

Phosphoinositide metabolism-related prognostic genes and their prognostic value in cervical cancer: an investigation based on transcriptome, single-cell analyses and verification.

Hui Meng, Li Tan, Ying Chen, Dongmei Wang, Yong Qi, Chuchao Zhu

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Article in BMC cancer, 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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5 · Who and what money

Authors and funding

6 authors.

Hui Meng *Department of Transfusion, General Hospital of Central Theater Command, Wuhan, 430070, Hubei, China.
Li Tan *Department of Disease Control and Prevention, General Hospital of Central Theater Command, Wuhan, 430070, Hubei, China.
Ying Chen *Department of Obstetrics and Gynecology, General Hospital of Central Theater Command, Wuhan, 430070, Hubei, China.
Dongmei WangDepartment of Transfusion, General Hospital of Central Theater Command, Wuhan, 430070, Hubei, China.
Yong QiDepartment of Transfusion, General Hospital of Central Theater Command, Wuhan, 430070, Hubei, China. qiy9527@163.com.ORCID http://orcid.org/0009-0005-4187-3013
Chuchao ZhuDepartment of Obstetrics and Gynecology, General Hospital of Central Theater Command, Wuhan, 430070, Hubei, China. zcc198822@126.com.ORCID http://orcid.org/0000-0001-9865-5862

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer (CESC) is a major gynecological malignancy, and abnormalities in phosphoinositide metabolism (PPM) are closely linked to tumor progression. This study aimed to screen phosphoinositide metabolism-related genes (PPM-RGs) with prognostic value for CESC and explore their molecular mechanisms and clinical significance.

methodsCESC transcriptomic datasets and PPM-RGs were retrieved from public databases. Differentially expressed genes were intersected with PPM-RGs to obtain candidate genes. Prognostic genes were screened via univariate Cox regression and proportional hazards assumption test, and a risk model was constructed using random survival forest (RSF). Independent prognostic analysis and nomogram establishment were performed, followed by pathway enrichment, immune infiltration, somatic mutation and single-cell analyses to characterize the tumor microenvironment. Immunohistochemical staining was used to verify the protein expression of key genes in CESC tissues.

resultsTwenty candidate genes were initially identified, and two protective prognostic genes VAC14 and INPP5K were finally determined. The risk model showed favorable predictive performance with area under the curve (AUC) over 0.7, and high-risk patients had poorer survival. The nomogram combining risk score and M stage presented high accuracy. The high-risk group exhibited distinct pathway enrichment, altered immune infiltration and low somatic mutation rates. Monocytes were identified as potential key cells with impaired communication and differentiation in CESC. Immunohistochemistry confirmed downregulated expression of the two genes in CESC epithelial cells.

conclusionVAC14 and INPP5K were PPM-related prognostic genes for CESC. Monocytes played critical roles in CESC progression. The risk model and nomogram aided prognosis prediction, providing new insights for CESC treatment.

Indexed as

Biomarkers, TumorPhosphatidylinositolsTranscriptomeUterine Cervical NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNomogramsPrognosisSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTumor MicroenvironmentBiomarkers, TumorPhosphatidylinositolsBioinformaticsCervical cancerPhosphoinositide metabolismPrognostic gene

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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.