Evidence mapPaperPMID 40817807Full record

ArticleCancer reports (Hoboken, N.J.)2025

Integrative Genomic and Functional Approaches Identify FUOM as a Key Driver and Therapeutic Target in Cervical Cancer.

Wenzhi Jiao, Shanshan Liu, Jianwei Shi, Minmin Yu

Abstract read
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2025. 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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0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Wenzhi JiaoDepartment of Gynecology, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.ORCID 0009-0002-8083-5755
Shanshan LiuDepartment of Gynecology, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Jianwei ShiDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Minmin YuDepartment of Gynecology, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer remains a global public health challenge, particularly in regions with limited access to screening and vaccination. While high-risk HPV infection is the primary cause, the genetic and molecular mechanisms driving cervical cancer progression are not fully understood.

objectiveThis study integrates Mendelian randomization (MR) and single-cell RNA sequencing (scRNA-seq) to identify causal eQTL-related genes and explore their roles in tumorigenesis. Functional experiments were conducted to validate key findings.

methodsMR analysis identified eQTL-related genes with significant causal associations with cervical cancer. Functional enrichment and Gene Set Variation Analysis (GSVA) revealed their involvement in key pathways. scRNA-seq explored cell-specific expression patterns and immune cell infiltration in the tumor microenvironment (TME). In vitro experiments, including qRT-PCR, siRNA knockdown, migration, proliferation, and colony formation assays, validated the biological roles of pivotal genes.

resultsA total of 307 eQTL-related genes were identified, enriched in pathways such as Th17 cell differentiation, TNF, and IL-17 signaling. scRNA-seq revealed cell-specific expression of key genes, including FUOM, which was elevated in cervical cancer cells. FUOM knockdown significantly reduced cell proliferation (by 37%, p < 0.001), migration (by 43%, p < 0.001), and colony formation (by 62%, p < 0.001). Regulatory analysis identified miRNAs as upstream modulators of these genes.

conclusionThis study identifies FUOM as a novel driver gene in cervical cancer progression and highlights its role in tumorigenesis and immune modulation. These findings provide insights into potential biomarkers and therapeutic targets, offering a foundation for personalized treatment strategies.

Indexed as

Biomarkers, TumorUterine Cervical NeoplasmsCell Line, TumorFemaleGene Expression Regulation, NeoplasticGenomicsHumansMendelian Randomization AnalysisQuantitative Trait LociRNA-SeqSingle-Cell AnalysisTumor MicroenvironmentBiomarkers, Tumorcervical cancerFUOMimmune regulationMendelian randomizationsingle‐cell RNA sequencing

Identifiers

PMID40817807
PMCPMC12357170

What Socratic holds

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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 Socratic graph.