ArticleJournal of cellular physiology2019
Integration of metabolomic and transcriptomic data reveals metabolic pathway alteration in breast cancer and impact of related signature on survival.
Article in Journal of cellular physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 68 citations in OpenAlex.
- From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine.Health information science and systems · 2024Review
- Identification of a Novel Biomarker Panel for Breast Cancer Screening.International journal of molecular sciences · 2024Article
- A Multiomics, Molecular Atlas of Breast Cancer Survivors.Metabolites · 2024Article
- Endocrine-disrupting compounds and metabolomic reprogramming in breast cancer.Journal of biochemical and molecular toxicology · 2023Review
- IncreasedExperimental and therapeutic medicine · 2023Article
- Multiomics insights on the onset, progression, and metastatic evolution of breast cancer.Frontiers in oncology · 2023Review
- Review
- Characteristics of immune cell infiltration and associated diagnostic biomarkers in ulcerative colitis: results from bioinformatics analysis.Bioengineered · 2021Article
- Tissue-based metabolomics reveals metabolic signatures and major metabolic pathways of gastric cancer with help of transcriptomic data from TCGA.Bioscience reports · 2021Article
- Review
- Identification of potential biomarkers and metabolic pathways based on integration of metabolomic and transcriptomic data in the development of breast cancer.Archives of gynecology and obstetrics · 2021Article
- Human Plasma Metabolomics for Biomarker Discovery: Targeting the Molecular Subtypes in Breast Cancer.Cancers · 2021Article
- Potential Significance and Clinical Value Explorations of Calmin (CLMN) in Breast Invasive Carcinoma.International journal of general medicine · 2021Article
- AMPD1 Is Associated With the Immune Response and Serves as a Prognostic Marker in HER2-Positive Breast Cancer.Frontiers in oncology · 2021Article
- Identification of an energy metabolism‑related gene signature in ovarian cancer prognosis.Oncology reports · 2020Article
- Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools.International journal of molecular sciences · 2020Article
- Article
- Integration of Transcriptome and Metabolome Provides Unique Insights to Pathways Associated With Obese Breast Cancer Patients.Frontiers in oncology · 2020Article
- Sodium-Dependent Glucose Transporter 1 (SGLT1) Stabled by HER2 Promotes Breast Cancer Cell Proliferation by Activation of the PI3K/Akt/mTOR Signaling Pathway in HER2+ Breast Cancer.Disease markers · 2020Article
- Application of metabolomics in the diagnosis of breast cancer: a systematic review.Journal of Cancer · 2020Review
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Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveBreast cancer (BC) is a malignant tumor which threat to women's physical and mental health. However, the mechanism of metabolism alteration in BC remains unclear. This study is intended to figure out the relationship between the alternation of metabolism and the progression of BC.
methodsIn this study, metabolites of plasma in 60 BC patients and 40 healthy volunteers were detected using liquid chromatography mass spectrometer (LC-MS). Transcriptomic data were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. Kyoto Encyclopedia of Genes and Genomes (KEGG) database was performed to enrich the pathways.
resultsA total of 97 metabolites have been identified and measured, of which 17 compounds exhibited the differential expression between tumor group and control group (p < 0.05; FDR < 0.05). Metabolites set enrichment analysis (MSEA) displayed that there were 12 significantly enriched pathways in all. Through the KEGG database, 382 genes were found closely correlated with the altered metabolic pathways. TCGA and GEO transcriptomic profiling revealed that 5,018 genes significantly changed between tumor group and control group. Integrating these genes with the transcriptomic data from the corresponding KEGG data set, we identified most of the differential expressed genes were related to purine metabolism. A total of 28 different expression genes were hub genes, wherein AMPD1 and RRM2 were significantly effective in the prediction of survival of BC patients, with 0.04 and 0.02, respectively.
conclusionsCombining with the transcriptomic and metabolomics data, we found that the dysregulation of purine metabolism pathway might affect the progression of BC.
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