Evidence map›Paper›PMID 39085784›Full record

ArticleBMC cancer2024

Single-cell transcriptome analysis revealed heterogeneity in glycolysis and identified IGF2 as a therapeutic target for ovarian cancer subtypes.

Jinting Ji, Fangfang Bi, Xiaocui Zhang, Zhiming Zhang, Yichi Xie, Qing Yang

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Effects of anesthetics on development of gynecological cancer.Frontiers in cell and developmental biology · 2025
    Review
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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

6 authors.

Jinting JiDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China.
Fangfang BiDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China.
Xiaocui ZhangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China.
Zhiming ZhangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China.
Yichi XieDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China.
Qing YangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China. yangqing_sj@126.com.

Funding

Liaoning key special project of science and technology No.2022JH1/10800070Outstanding Scientific Fund of Shengjing Hospital 202207the National Natural Science Foundation of China No. 82272661
6 · The paper itself

Abstract

backgroundAs the most malignant tumor of the female reproductive system, ovarian cancer (OC) has garnered increasing attention. The Warburg effect, driven by glycolysis, accounts for tumor cell proliferation under aerobic conditions. However, the metabolic heterogeneity linked to glycolysis in OC remains elusive.

methodsWe integrated single-cell data with OC to score glycolysis level in tumor cell subclusters. This led to the identification of a subcluster predominantly characterized by glycolysis, with a strong correlation to patient prognosis. Core transcription factors were pinpointed using hdWGCNA and metaVIPER. A specific transcription factor regulatory network was then constructed. A glycolysis-related prognostic model was developed and tested for estimating OC prognosis with a total of 85 machine-learning combinations, focusing on specific upregulated genes of two subtypes. We identified IGF2 as a key within the prognostic model and investigated its impact on OC progression and drug resistance through in vitro experiments, including the transwell assay, lactate production detection, and the CCK-8 assay.

resultsAnalysis showed that the Malignant 7 subcluster was primarily related to glycolysis. Two OC molecular subtypes, CS1 and CS2, were identified with distinct clinical, biological, and microenvironmental traits. A prognostic model was built, and IGF2 emerged as a key gene linked to prognosis. Experiments have proven that IGF2 can promote the glycolysis pathway and the malignant biological progression of OC cells.

conclusionsWe developed two novel OC subtypes based on glycolysis score, established a stable prognostic model, and identified IGF2 as the marker gene. These insights provided a new avenue for exploring OC's molecular mechanisms and personalized treatment approaches.

Indexed as

GlycolysisInsulin-Like Growth Factor IIOvarian NeoplasmsBiomarkers, TumorCell Line, TumorCell ProliferationDrug Resistance, NeoplasmFemaleGene Expression Regulation, NeoplasticHumansPrognosisSingle-Cell Gene Expression AnalysisTranscriptomeBiomarkers, TumorIGF2 protein, humanInsulin-Like Growth Factor IIGlycolysisIGF2Machine learningMolecular subtypeOvarian cancerSingle-cell transcriptomics

Identifiers

PMID39085784
PMCPMC11292870

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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 OpenQuestion graph.