دورية أكاديمية
Metabolic clusters of breast cancer in relation to gene- and protein expression subtypes.
| العنوان: | Metabolic clusters of breast cancer in relation to gene- and protein expression subtypes. |
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| المؤلفون: | Haukaas TH; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway ; K.G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway., Euceda LR; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway., Giskeødegård GF; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway ; St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway., Lamichhane S; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway ; Department of Food Science, Faculty of Science and Technology, Aarhus University, Årslev, Denmark., Krohn M; K.G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway ; Department of Cancer Genetics, Institute for Cancer Research Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway., Jernström S; K.G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway ; Department of Cancer Genetics, Institute for Cancer Research Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway., Aure MR; K.G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway ; Department of Cancer Genetics, Institute for Cancer Research Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway., Lingjærde OC; K.G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway ; Department of Computer Science, University of Oslo, Oslo, Norway ; Centre for Cancer Biomedicine, University of Oslo, Oslo, Norway., Schlichting E; Section for Breast and Endocrine Surgery, Oslo University Hospital, Ullevål, Oslo Norway., Garred Ø; Department of Pathology, Oslo University Hospital, Oslo, Norway., Due EU; K.G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway ; Department of Cancer Genetics, Institute for Cancer Research Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway., Mills GB; Department of Systems Biology, The University of Texas M.D. Anderson Cancer Center, Houston, TX USA., Sahlberg KK; K.G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway ; Department of Research, Vestre Viken, Drammen, Norway., Børresen-Dale AL; K.G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway ; Department of Cancer Genetics, Institute for Cancer Research Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway., Bathen TF; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway ; K.G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway. |
| مؤلفون مشاركون: | Oslo Breast Cancer Consortium (OSBREAC) |
| المصدر: | Cancer & metabolism [Cancer Metab] 2016 Jun 27; Vol. 4, pp. 12. Date of Electronic Publication: 2016 Jun 27 (Print Publication: 2016). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: BioMed Central Country of Publication: England NLM ID: 101607582 Publication Model: eCollection Cited Medium: Print ISSN: 2049-3002 (Print) Linking ISSN: 20493002 NLM ISO Abbreviation: Cancer Metab Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: London : BioMed Central, 2013- |
| مستخلص: | Background: The heterogeneous biology of breast cancer leads to high diversity in prognosis and response to treatment, even for patients with similar clinical diagnosis, histology, and stage of disease. Identifying mechanisms contributing to this heterogeneity may reveal new cancer targets or clinically relevant subgroups for treatment stratification. In this study, we have merged metabolite, protein, and gene expression data from breast cancer patients to examine the heterogeneity at a molecular level. Methods: The study included primary tumor samples from 228 non-treated breast cancer patients. High-resolution magic-angle spinning magnetic resonance spectroscopy (HR MAS MRS) was performed to extract the tumors metabolic profiles further used for hierarchical cluster analysis resulting in three significantly different metabolic clusters (Mc1, Mc2, and Mc3). The clusters were further combined with gene and protein expression data. Results: Our result revealed distinct differences in the metabolic profile of the three metabolic clusters. Among the most interesting differences, Mc1 had the highest levels of glycerophosphocholine (GPC) and phosphocholine (PCho), Mc2 had the highest levels of glucose, and Mc3 had the highest levels of lactate and alanine. Integrated pathway analysis of metabolite and gene expression data uncovered differences in glycolysis/gluconeogenesis and glycerophospholipid metabolism between the clusters. All three clusters had significant differences in the distribution of protein subtypes classified by the expression of breast cancer-related proteins. Genes related to collagens and extracellular matrix were downregulated in Mc1 and consequently upregulated in Mc2 and Mc3, underpinning the differences in protein subtypes within the metabolic clusters. Genetic subtypes were evenly distributed among the three metabolic clusters and could therefore contribute to additional explanation of breast cancer heterogeneity. Conclusions: Three naturally occurring metabolic clusters of breast cancer were detected among primary tumors from non-treated breast cancer patients. The clusters expressed differences in breast cancer-related protein as well as genes related to extracellular matrix and metabolic pathways known to be aberrant in cancer. Analyses of metabolic activity combined with gene and protein expression provide new information about the heterogeneity of breast tumors and, importantly, the metabolic differences infer that the clusters may be susceptible to different metabolically targeted drugs. |
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| معلومات مُعتمدة: | P01 CA099031 United States CA NCI NIH HHS; P30 CA016672 United States CA NCI NIH HHS |
| فهرسة مساهمة: | Keywords: Breast cancer subgroups; Extracellular matrix; HR MAS MRS; Metabolic cluster; Metabolomics |
| تواريخ الأحداث: | Date Created: 20160629 Date Completed: 20160628 Latest Revision: 20240325 |
| رمز التحديث: | 20240325 |
| مُعرف محوري في PubMed: | PMC4922058 |
| DOI: | 10.1186/s40170-016-0152-x |
| PMID: | 27350877 |
| قاعدة البيانات: | MEDLINE |
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Full Text Finder | تدمد: | 2049-3002 |
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| DOI: | 10.1186/s40170-016-0152-x |