PLA2G4F is a metabolic checkpoint in triple-negative breast cancer: Insights from multiple omics analysis and experiments

Metabolic reprogramming is an emerging hallmark and promising therapeutic target in cancer, fueling malignant cells and regulating the tumor microenvironment as a metabolic checkpoint. Triple-negative breast cancer (TNBC), an aggressive subtype with poor prognosis, is marked by high recurrence rates and chemotherapy resistance. However, the metabolic heterogeneity and cell-specific metabolic profiles in TNBC remain underexplored. In this study, we analyzed the expression and prognostic impact of 87 metabolic pathways involving 1,668 genes, identifying 104 candidate metabolic checkpoint genes. Using consensus clustering, we uncovered two distinct metabolic subclusters of TNBC patients that exhibited significant differences in survival. We further characterized the differentially expressed genes, mutation profiles, and microenvironmental features between these two clusters. Additionally, <i>trans</i>-omics analysis of single-cell RNA sequencing revealed that <i>PLA2G4F</i>, a gene specifically expressed in malignant cells, functioned as a cell-autonomous metabolic reprogramming factor. We validated that <i>PLA2G4F</i> promotes the proliferation, migration, and survival of TNBC cells <i>in vitro</i>, driven by dysregulated glucose and lipid metabolism. These processes were mediated, at least in part, through the activation of the <i>AKT/PI3K</i> signaling pathway. This study highlights the metabolic heterogeneity in TNBC and identifies <i>PLA2G4F</i> as a pro-tumor factor, suggesting it as a potential novel therapeutic target.

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Publication Details

Journal
Molecular Therapy Oncology
Published
2025-03-07
DOI
https://doi.org/10.1016/j.omton.2025.200963
Citations
4
Primary Topic
GDF15 and Related Biomarkers
Type
article
Field-Weighted Citation Impact
6.67

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article

PLA2G4F is a metabolic checkpoint in triple-negative breast cancer: Insights from multiple omics analysis and experiments

Shan Cheng, Yingying Kou, Feng Yan, Xun Tang et al.
4 citations
Molecular Therapy Oncology
GDF15 and Related Biomarkers
6.67
article

PLA2G4F is a metabolic checkpoint in triple-negative breast cancer: Insights from multiple omics analysis and experiments

Shan Cheng, Yingying Kou, Feng Yan, Xun Tang, Ning Jiang
article en
4 citations

Abstract

Metabolic reprogramming is an emerging hallmark and promising therapeutic target in cancer, fueling malignant cells and regulating the tumor microenvironment as a metabolic checkpoint. Triple-negative breast cancer (TNBC), an aggressive subtype with poor prognosis, is marked by high recurrence rates and chemotherapy resistance. However, the metabolic heterogeneity and cell-specific metabolic profiles in TNBC remain underexplored. In this study, we analyzed the expression and prognostic impact of 87 metabolic pathways involving 1,668 genes, identifying 104 candidate metabolic checkpoint genes. Using consensus clustering, we uncovered two distinct metabolic subclusters of TNBC patients that exhibited significant differences in survival. We further characterized the differentially expressed genes, mutation profiles, and microenvironmental features between these two clusters. Additionally, <i>trans</i>-omics analysis of single-cell RNA sequencing revealed that <i>PLA2G4F</i>, a gene specifically expressed in malignant cells, functioned as a cell-autonomous metabolic reprogramming factor. We validated that <i>PLA2G4F</i> promotes the proliferation, migration, and survival of TNBC cells <i>in vitro</i>, driven by dysregulated glucose and lipid metabolism. These processes were mediated, at least in part, through the activation of the <i>AKT/PI3K</i> signaling pathway. This study highlights the metabolic heterogeneity in TNBC and identifies <i>PLA2G4F</i> as a pro-tumor factor, suggesting it as a potential novel therapeutic target.

Molecular Therapy OncologyVol. 33(2)
Nanjing Children's Hospital (CN), Jiangsu Cancer Hospital (CN)
Jiangsu Commission of Health, National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 4%
GDF15 and Related Biomarkers
6.67
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