Comprehensive analysis of the metabolomics and transcriptomics uncovers the dysregulated network and potential biomarkers of Triple Negative Breast Cancer
Abstract Triple-negative breast cancer (TNBC) is known for its aggressive nature, lack of effective diagnostic tools and treatments, and generally poor prognosis. The objective of this study was to investigate metabolic changes in TNBC using metabolomics approaches and explore the underlying mechani...
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2024-11-01
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| Series: | Journal of Translational Medicine |
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| Online Access: | https://doi.org/10.1186/s12967-024-05843-y |
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| author | Sisi Gong Rongfu Huang Meie Wang Fen Lian Qingshui Wang Zhijun Liao Chunmei Fan |
| author_facet | Sisi Gong Rongfu Huang Meie Wang Fen Lian Qingshui Wang Zhijun Liao Chunmei Fan |
| author_sort | Sisi Gong |
| collection | DOAJ |
| description | Abstract Triple-negative breast cancer (TNBC) is known for its aggressive nature, lack of effective diagnostic tools and treatments, and generally poor prognosis. The objective of this study was to investigate metabolic changes in TNBC using metabolomics approaches and explore the underlying mechanisms through integrated analysis with transcriptomics. In this study, serum untargeted metabolic profiles were first examined between 18 TNBC patients and 21 healthy control (HC) subjects using liquid chromatography-mass spectrometry (LC-MS), identifying a total of 22 significantly differential metabolites (DMs). Subsequently, receiver operating characteristic analysis revealed that 7-methylguanine could serve as a potential biomarker for TNBC in both the discovery and validation sets. Additionally, transcriptomic datasets were retrieved from the GEO database to identify differentially expressed genes (DEGs) between TNBC and normal tissues. An integrative analysis of the DMs and DEGs was conducted, uncovering potential molecular mechanisms underlying TNBC. Notably, three pathways—tyrosine metabolism, phenylalanine metabolism, and glycolysis/gluconeogenesis—were enriched, providing insight into the energy metabolism disorders in TNBC. Within these pathways, two DMs (4-hydroxyphenylacetaldehyde and oxaloacetic acid) and six DEGs (MAOA, ADH1B, ADH1C, AOC3, TAT, and PCK1) were identified as key components. In summary, this study highlights metabolic biomarkers that could potentially be used for the diagnosis and screening of TNBC. The comprehensive analysis of metabolomics and transcriptomics data offers a validated and in-depth understanding of TNBC metabolism. |
| format | Article |
| id | doaj-art-97875ad73c8b4a82935e0960b0f2c609 |
| institution | Kabale University |
| issn | 1479-5876 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | BMC |
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| series | Journal of Translational Medicine |
| spelling | doaj-art-97875ad73c8b4a82935e0960b0f2c6092024-11-17T12:45:53ZengBMCJournal of Translational Medicine1479-58762024-11-0122111710.1186/s12967-024-05843-yComprehensive analysis of the metabolomics and transcriptomics uncovers the dysregulated network and potential biomarkers of Triple Negative Breast CancerSisi Gong0Rongfu Huang1Meie Wang2Fen Lian3Qingshui Wang4Zhijun Liao5Chunmei Fan6The Clinical Laboratory Center, the Second Affiliated Hospital of Fujian Medical UniversityThe Clinical Laboratory Center, the Second Affiliated Hospital of Fujian Medical UniversityThe Clinical Laboratory Center, the Second Affiliated Hospital of Fujian Medical UniversityThe Clinical Laboratory Center, the Second Affiliated Hospital of Fujian Medical UniversityCollege of Integrative Medicine, Fujian University of Traditional Chinese MedicineDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fujian Medical UniversityThe Clinical Laboratory Center, the Second Affiliated Hospital of Fujian Medical UniversityAbstract Triple-negative breast cancer (TNBC) is known for its aggressive nature, lack of effective diagnostic tools and treatments, and generally poor prognosis. The objective of this study was to investigate metabolic changes in TNBC using metabolomics approaches and explore the underlying mechanisms through integrated analysis with transcriptomics. In this study, serum untargeted metabolic profiles were first examined between 18 TNBC patients and 21 healthy control (HC) subjects using liquid chromatography-mass spectrometry (LC-MS), identifying a total of 22 significantly differential metabolites (DMs). Subsequently, receiver operating characteristic analysis revealed that 7-methylguanine could serve as a potential biomarker for TNBC in both the discovery and validation sets. Additionally, transcriptomic datasets were retrieved from the GEO database to identify differentially expressed genes (DEGs) between TNBC and normal tissues. An integrative analysis of the DMs and DEGs was conducted, uncovering potential molecular mechanisms underlying TNBC. Notably, three pathways—tyrosine metabolism, phenylalanine metabolism, and glycolysis/gluconeogenesis—were enriched, providing insight into the energy metabolism disorders in TNBC. Within these pathways, two DMs (4-hydroxyphenylacetaldehyde and oxaloacetic acid) and six DEGs (MAOA, ADH1B, ADH1C, AOC3, TAT, and PCK1) were identified as key components. In summary, this study highlights metabolic biomarkers that could potentially be used for the diagnosis and screening of TNBC. The comprehensive analysis of metabolomics and transcriptomics data offers a validated and in-depth understanding of TNBC metabolism.https://doi.org/10.1186/s12967-024-05843-yTriple-negative breast cancerMetabolomicsTranscriptomicsBiomarkerPathways |
| spellingShingle | Sisi Gong Rongfu Huang Meie Wang Fen Lian Qingshui Wang Zhijun Liao Chunmei Fan Comprehensive analysis of the metabolomics and transcriptomics uncovers the dysregulated network and potential biomarkers of Triple Negative Breast Cancer Journal of Translational Medicine Triple-negative breast cancer Metabolomics Transcriptomics Biomarker Pathways |
| title | Comprehensive analysis of the metabolomics and transcriptomics uncovers the dysregulated network and potential biomarkers of Triple Negative Breast Cancer |
| title_full | Comprehensive analysis of the metabolomics and transcriptomics uncovers the dysregulated network and potential biomarkers of Triple Negative Breast Cancer |
| title_fullStr | Comprehensive analysis of the metabolomics and transcriptomics uncovers the dysregulated network and potential biomarkers of Triple Negative Breast Cancer |
| title_full_unstemmed | Comprehensive analysis of the metabolomics and transcriptomics uncovers the dysregulated network and potential biomarkers of Triple Negative Breast Cancer |
| title_short | Comprehensive analysis of the metabolomics and transcriptomics uncovers the dysregulated network and potential biomarkers of Triple Negative Breast Cancer |
| title_sort | comprehensive analysis of the metabolomics and transcriptomics uncovers the dysregulated network and potential biomarkers of triple negative breast cancer |
| topic | Triple-negative breast cancer Metabolomics Transcriptomics Biomarker Pathways |
| url | https://doi.org/10.1186/s12967-024-05843-y |
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