Article ; Online: Image-guided metabolomics and transcriptomics reveal tumour heterogeneity in luminal A and B human breast cancer beyond glucose tracer uptake.
Clinical and translational medicine
2024 Volume 14, Issue 2, Page(s) e1550
Abstract: Background: Breast cancer is a metabolically heterogeneous disease, and although the concept of heterogeneous cancer metabolism is known, its precise role in human breast cancer is yet to be fully elucidated.: Methods: We investigated in an ... ...
Abstract | Background: Breast cancer is a metabolically heterogeneous disease, and although the concept of heterogeneous cancer metabolism is known, its precise role in human breast cancer is yet to be fully elucidated. Methods: We investigated in an explorative approach a cohort of 42 primary mamma carcinoma patients with positron emission tomography/magnetic resonance imaging (PET/MR) prior to surgery, followed by histopathology and molecular diagnosis. From a subset of patients, which showed high metabolic heterogeneity based on tracer uptake and pathology classification, tumour centre and periphery specimen tissue samples were further investigated by a targeted breast cancer gene expression panel and quantitative metabolomics by nuclear magnetic resonance (NMR) spectroscopy. All data were analysed in a combinatory approach. Results: [ Conclusion: Our analysis indicates variations in metabolism among different breast cancer subtypes and sampling locations which details the heterogeneity of the breast tumours. Correlation analysis of [ |
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MeSH term(s) | Humans ; Female ; Breast Neoplasms/diagnostic imaging ; Breast Neoplasms/genetics ; Breast Neoplasms/metabolism ; Fluorodeoxyglucose F18/metabolism ; Gene Expression Profiling ; Acetates ; Serine ; Lipids |
Chemical Substances | Fluorodeoxyglucose F18 (0Z5B2CJX4D) ; Acetates ; Serine (452VLY9402) ; Lipids |
Language | English |
Publishing date | 2024-02-09 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2697013-2 |
ISSN | 2001-1326 ; 2001-1326 |
ISSN (online) | 2001-1326 |
ISSN | 2001-1326 |
DOI | 10.1002/ctm2.1550 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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