ArticleMedical oncology (Northwood, London, England)2022
Identification and analysis of dysregulated fatty acid metabolism genes in breast cancer subtypes.
Article in Medical oncology (Northwood, London, England), 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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Who cites it
24 citing papers in PubMed, 33 citations in OpenAlex.
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- Dietary restriction genes as modulators of breast cancer risk through metabolic pathways.Lipids in health and disease · 2026Article
- Novel fatty acid metabolism-related molecular subtyping and prognostic signature for breast cancer.Translational cancer research · 2026Article
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- Genetic Associations ofAnimals : an open access journal from MDPI · 2025Article
- PLIN1 suppresses glioma progression through regulating lipid metabolism.Cell death & disease · 2025Article
- Metabolic Reprogramming and Adaption in Breast Cancer Progression and Metastasis.Advances in experimental medicine and biology · 2025Review
- Exploring lipidomic profiles and their correlation with hormone receptor and HER2 status in breast cancer.Oncology letters · 2025Article
- Let-7b, miR-29b, and miR-125b as Potential Biomarkers for Differentiating Canine Mammary Carcinoma Histological Types.Animals : an open access journal from MDPI · 2024Article
- CytochromeSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024Review
- The acyltransferase transmembrane protein 68 regulates breast cancer cell proliferation by modulating triacylglycerol metabolism.Lipids in health and disease · 2024Article
- Metabolism: an important player in glioma survival and development.Discover oncology · 2024Review
- Article
- A novel LGALS1-depended and immune-associated fatty acid metabolism risk model in acute myeloid leukemia stem cells.Cell death & disease · 2024Article
- A signature of four ferroptosis-related genes in laryngeal squamous cell carcinoma.Translational cancer research · 2024Article
- Clinicopathological Significance and Expression Pattern of Bcl2 in Breast Cancer: A ComprehensiveSaudi journal of biological sciences · 2024Article
- LncRNA SOX9-AS1 triggers a transcriptional program involved in lipid metabolic reprogramming, cell migration and invasion in triple-negative breast cancer.Scientific reports · 2024Article
- Introduction ofIranian journal of basic medical sciences · 2024Article
- Prognostic significance and expression pattern of glucose related genes in breast cancer: A comprehensive computational biology approach.Saudi journal of biological sciences · 2024Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Breast cancer is one of the most aggressive and lethal types of transformation among women. An anomaly of normal fatty acid metabolism is acknowledged as a critical trigger for malignant transformations including breast cancer, but the prospect of targeting fatty acid metabolism for the treatment of malignancy has remained unrecognized so far. It has been observed that specific fatty acid metabolism genes are involved in the commencement and development of breast cancer. These specific genes have also been observed to be related to different isotypes/molecular subtypes of breast cancer. The main purpose of this study was to scrutinize the prognostic significance, functional role, and expression pattern of fatty acid metabolism genes. In-Silico tools like TCGA BrCA, Gepia2, Ualcan Analysis, UCSC Xena, Kaplan-Meier plotter, Bc-gene EXminer, String, gene ontology, and KEGG databases, were used to assess the expression pattern of the fatty acid metabolism genes in breast cancer patients and also among the different molecular sub-types of breast cancer. Differential gene expression analysis revealed dysregulation of FABP4, FABP5, PLIN1, PLIN2, PLIN4, PLIN5, LPIN1, MGLL, PNPLA2, PNPLA7, ACSL1, and ACOX2 showing a fold change > ± 1.5. Also, most of these genes show downregulation in Ualcan analysis of different isotypes/molecular subtypes of breast cancer. The study reveals that the screened genes i.e., FABP4, FABP5, PLIN1, PLIN2, PLIN4, PLIN5, LPIN1, MGLL, PNPLA2, PNPLA7, ACSL1, and ACOX2 can be used as biomarkers that reveal poor prognosis and may serve as therapeutic targets for the treatment of breast cancer.
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