ArticleAsian Pacific journal of cancer prevention : APJCP2023
Stage Analysis of Breast Cancer Metabolomics: A System Biology Approach.
Article in Asian Pacific journal of cancer prevention : APJCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 13 citations in OpenAlex.
- Integrating circulating microRNAs with epidemiological factors enhances breast cancer detection across subtypes: the MCC-Spain study.Scientific reports · 2026Article
- Transcriptional regulation of human NMNAT2: insights from 3D genome sequencing and bioinformatics.The FEBS journal · 2026Article
- Involvement of microRNAs-449/FASN axis in response to trastuzumab therapy in HER2-positive breast cancer.Molecular medicine (Cambridge, Mass.) · 2025Article
- Identification and characterization of mitochondrial autophagy-related genes in osteosarcoma and predicting clinical prognosis.Scientific reports · 2025Article
- Therapeutic implications of endoplasmic reticulum stress gene CCL3 in cervical squamous cell carcinoma.Cell biology and toxicology · 2025Article
- Liquid biopsy using non-coding RNAs and extracellular vesicles for breast cancer management.Breast cancer (Tokyo, Japan) · 2025Review
- Identification of biomarkers associated with mitochondrial dysfunction and programmed cell death in chronic obstructive pulmonary disease via transcriptomics.Frontiers in genetics · 2025Article
- Review
- A novel tumor-derived exosomal gene signature predicts prognosis in patients with pancreatic cancer.Translational cancer research · 2024Article
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3 authors at 1 institution in 1 country.
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Abstract
backgroundBreast cancer (BC) is the most common malignancy in women worldwide. Altered miRNA profile can disturb the metabolic homeostatic via regulation of gene expression in BC.
methodsIn the present study to evaluate which miRNA, regulate metabolic pathways according to their stage, we performed comprehensive analysis of BC expression (mRNA and miRNA) of a set of patients by comparing samples of solid tumor tissue and adjacent tissue. The mRNA and miRNA data of breast cancer were downloaded from the cancer genome database (TCGA) using TCGAbiolinks package. Differentially expressed (mRNAs and miRNAs) was determined by DESeq2 package and predict valid miRNA-mRNA pairs using multiMiR package. All analyses were performed using the R software. Compound-reaction-enzyme-gene network was constructed using the Metscape a plugin for Cytoscape software. Then, core subnetwork computed by CentiScaPe, another plugin for Cytoscape.
resultsIn Stage I, hsa-miR-592, hsa-miR-449a and hsa-miR-1269a targeted HS3ST4, ACSL1 and USP9Y genes respectively. In stage II, hsa-miR-3662, Hsa-miR-429, and hsa-miR-1269a targeted GYS2, HAS3, ASPA, TRHDE, USP44, GDA, DGAT2, and USP9Y genes. In stage III, hsa-miR-3662 targeted TRHDE, GYS2, DPYS, HAS3, NMNAT2, ASPA genes. In stage IV, hsa-miR-429, has-miR-23c, and hsa-miR-449a targeted genes GDA, DGAT2, PDK4, ALDH1A2, ENPP2, and KL. Those miRNAs and their targets were identified as the discriminative elements for the four stages of breast cancer.
conclusionThe most notable differences between BC and normal tissue in four stages involved multiple pathways and metabolites include: carbohydrate metabolism (e.g., Amylose, N-acetyl-D-glucosamin, beta-D-Glucuronoside, ""g""-CEHC-glucuronide, ""a""-CEHC-glucuronide, Heparan-glucosamine, 5,6-Dihydrouracil, 5,6-Dihydrothymine), branch-chain amino acid metabolism (e.g., N-Acetyl-L-aspartate, N-Formyl-L-aspartate, N`-acetyl-L-asparagine), Retinal metabolism (e.g., Retinal, 9-`cis`-retinal, 13-`cis`-retinal) and (FAD, NAD) as central coenzymes of metabolism. Set of crucial microRNAs and targeted genes plus the related metabolites were introduced for four stages of BC that can be consider for therapeutic and diagnostic purposes in the different stages of disease.
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