ArticleLipids in health and disease2022
The prognostic value of arachidonic acid metabolism in breast cancer by integrated bioinformatics.
Article in Lipids in health and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed, 30 citations in OpenAlex.
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- Tumoral ALOX5 mediated arachidonic acid metabolism regulates immune response in non-small cell lung cancer.Cellular oncology (Dordrecht, Netherlands) · 2025Article
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- Metagenomic and Metabolomic Profiling Reveals the Impact of High-Fat Diet on Malignant Pleural Effusion.Thoracic cancer · 2025Article
- Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis.BMC cancer · 2025Article
- Identification and verification of biomarkers associated with arachidonic acid metabolism in non-alcoholic fatty liver disease.Scientific reports · 2025Article
- Integrative bioinformatics and immunohistochemical analysis unravel the prognostic significance and immunological implication of LIMCH1 in breast cancer: a retrospective study.Scientific reports · 2025Article
- Machine learning approach in canine mammary tumour classification using rapid evaporative ionization mass spectrometry.Analytical and bioanalytical chemistry · 2025Article
- Unveiling the Prognostic Power and Immune Landscape of MyD88 in Breast Cancer: an Integrative Bioinformatics and IHC Approach.Journal of Cancer · 2025Article
- Combined Bioinformatics Analyses and Immunohistochemical Validation Reveal the Prognostic Relevance and Immune-Related Role of CIITA in Breast Cancer.Journal of Cancer · 2025Article
- Establishment and validation of a prognostic risk model based on ADME-related genes in breast cancer.Frontiers in oncology · 2025Article
- Identification of arachidonic acid metabolism-related diagnostic markers in heart failure based on bioinformatics analysis and machine learning.Frontiers in cardiovascular medicine · 2025Article
- Bioinformatics analysis revealsTranslational cancer research · 2024Article
- Use of ultra-high performance liquid chromatography-high-resolution mass spectroscopy to profile the metabolites from the serum of patients with breast cancer.Oncology letters · 2024Article
- Multiple transcriptome analyses reveal mouse testis developmental dynamics.BMC genomics · 2024Article
- Unsaturated Fatty Acid Synthesis Is Associated with Worse Survival and Is Differentially Regulated byCancers · 2024Article
- Low expression ofTranslational cancer research · 2024Article
- A centrosome-related gene signature for predicting the overall survival of uveal melanoma.Translational cancer research · 2024Article
- Investigating the prognostic value of mTORC1 signaling in bladder cancer via bioinformatics evaluation.Scientific reports · 2023Article
- Arachidonic acid metabolism in health and disease.MedComm · 2023Review
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs the second cause of cancer death in women, breast cancer has become a worldwide priority. Previous studies based on tumour cell lines demonstrated that arachidonic acid (AA) and its metabolites promote cancer development. However, recent studies based on the tumour microenvironment revealed the antitumour effect of AA metabolism. Therefore, it is essential to reevaluate and elucidate the effect of AA metabolism on breast cancer.
methodsRaw data were obtained from The Cancer Genome Atlas (TCGA), Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) and Gene Expression Omnibus (GEO) databases. The AA metabolic score of each sample, enrichment of differentially expressed genes (DEGs) and immune infiltration were analysed by bioinformatics. Cox regression and least absolute shrinkage and selection operator regression were performed to establish an AA metabolism prognostic signature. An AA metabolism related nomogram for predicting the survival probability of patients was built.
resultAA metabolism was related to good prognosis in the TCGA-BRCA and METABRIC cohort. DEGs enrichment suggested that the upregulated DEGs of the high AA metabolism group were significantly enriched in immune-related pathways. The high AA metabolism group was infiltrated with more CD8
conclusionThe study indicated that a high level of AA metabolism may be a biomarker for good prognosis in breast cancer, providing a possible explanation for the discouraging effect of cyclooxygenase inhibitors in cancer therapy. Moreover, a novel AA metabolic prognostic signature was constructed in the study, providing a novel strategy for breast cancer.
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