Metabolomic analysis of plasma from breast tumour patients. A pilot study
Background: Patients at risk of breast cancer are submitted to mammography, resulting in a classification of the lesions following the Breast Imaging Reporting and Data System (BI-RADS®). Due to BI-RADS 3 classification problems and the great uncertainty of the possible evolution of this kind of tum...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2021-05-01
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| Series: | Journal of Public Health Research |
| Subjects: | |
| Online Access: | https://www.jphres.org/index.php/jphres/article/view/2304 |
| _version_ | 1828082440066826240 |
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| author | Carola Politi Claudia Fattuoni Alessandra Serra Antonio Noto Silvia Loi Andrea Casanova Gavino Faa Alberto Ravarino Luca Saba |
| author_facet | Carola Politi Claudia Fattuoni Alessandra Serra Antonio Noto Silvia Loi Andrea Casanova Gavino Faa Alberto Ravarino Luca Saba |
| author_sort | Carola Politi |
| collection | DOAJ |
| description | Background: Patients at risk of breast cancer are submitted to mammography, resulting in a classification of the lesions following the Breast Imaging Reporting and Data System (BI-RADS®). Due to BI-RADS 3 classification problems and the great uncertainty of the possible evolution of this kind of tumours, the integration of mammographic imaging with other techniques and markers of pathology, as metabolic information, may be advisable.
Design and Methods: Our study aims to evaluate the possibility to quantify by gas chromatography-mass spectrometry (GC-MS) specific metabolites in the plasma of patients with mammograms classified from BI-RADS 3 to BI-RADS 5, to find similarities or differences in their metabolome. Samples from BI-RADS 3 to 5 patients were compared with samples from a healthy control group. This pilot project aimed at establishing the sensitivity of the metabolomic classification of blood samples of patients undergoing breast radiological analysis and to support a better classification of mammographic cases.
Results: Metabolomic analysis revealed a panel of metabolites more abundant in healthy controls, as 3-aminoisobutyric acid, cholesterol, cysteine, stearic, linoleic and palmitic fatty acids. The comparison between samples from BI-RADS 3 and BI-RADS 5 patients, revealed the importance of 4-hydroxyproline, found in higher amount in BI-RADS 3 subjects.
Conclusion: Although the low sample number did not allow the attainment of high validated statistical models, some interesting data were obtained, revealing the potential of metabolomics for an improvement in the classification of different mammographic lesions. |
| first_indexed | 2024-04-11T03:52:04Z |
| format | Article |
| id | doaj.art-7ad37fc3d335487ab094452253f6ccc1 |
| institution | Directory Open Access Journal |
| issn | 2279-9028 2279-9036 |
| language | English |
| last_indexed | 2024-04-11T03:52:04Z |
| publishDate | 2021-05-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Journal of Public Health Research |
| spelling | doaj.art-7ad37fc3d335487ab094452253f6ccc12023-01-02T01:43:37ZengSAGE PublishingJournal of Public Health Research2279-90282279-90362021-05-0110.4081/jphr.2021.2304Metabolomic analysis of plasma from breast tumour patients. A pilot studyCarola Politi0Claudia Fattuoni1Alessandra Serra2Antonio Noto3Silvia Loi4Andrea Casanova5Gavino Faa6Alberto Ravarino7Luca Saba8Department of Medical Sciences and Public Health, University of CagliariDepartment of Chemical and Geological Sciences, University of CagliariDepartment of Medical Sciences and Public Health, University of CagliariDepartment of Medical Sciences and Public Health, University of CagliariDepartment of Medical Sciences and Public Health, University of CagliariDepartment of Mathematics and Informatics, University of CagliariDepartment of Medical Sciences and Public Health, University of CagliariDepartment of Medical Sciences and Public Health, University of CagliariDepartment of Medical Sciences and Public Health, University of CagliariBackground: Patients at risk of breast cancer are submitted to mammography, resulting in a classification of the lesions following the Breast Imaging Reporting and Data System (BI-RADS®). Due to BI-RADS 3 classification problems and the great uncertainty of the possible evolution of this kind of tumours, the integration of mammographic imaging with other techniques and markers of pathology, as metabolic information, may be advisable. Design and Methods: Our study aims to evaluate the possibility to quantify by gas chromatography-mass spectrometry (GC-MS) specific metabolites in the plasma of patients with mammograms classified from BI-RADS 3 to BI-RADS 5, to find similarities or differences in their metabolome. Samples from BI-RADS 3 to 5 patients were compared with samples from a healthy control group. This pilot project aimed at establishing the sensitivity of the metabolomic classification of blood samples of patients undergoing breast radiological analysis and to support a better classification of mammographic cases. Results: Metabolomic analysis revealed a panel of metabolites more abundant in healthy controls, as 3-aminoisobutyric acid, cholesterol, cysteine, stearic, linoleic and palmitic fatty acids. The comparison between samples from BI-RADS 3 and BI-RADS 5 patients, revealed the importance of 4-hydroxyproline, found in higher amount in BI-RADS 3 subjects. Conclusion: Although the low sample number did not allow the attainment of high validated statistical models, some interesting data were obtained, revealing the potential of metabolomics for an improvement in the classification of different mammographic lesions.https://www.jphres.org/index.php/jphres/article/view/2304Breast cancermammographymetabolomicsplasmaGC-MS |
| spellingShingle | Carola Politi Claudia Fattuoni Alessandra Serra Antonio Noto Silvia Loi Andrea Casanova Gavino Faa Alberto Ravarino Luca Saba Metabolomic analysis of plasma from breast tumour patients. A pilot study Journal of Public Health Research Breast cancer mammography metabolomics plasma GC-MS |
| title | Metabolomic analysis of plasma from breast tumour patients. A pilot study |
| title_full | Metabolomic analysis of plasma from breast tumour patients. A pilot study |
| title_fullStr | Metabolomic analysis of plasma from breast tumour patients. A pilot study |
| title_full_unstemmed | Metabolomic analysis of plasma from breast tumour patients. A pilot study |
| title_short | Metabolomic analysis of plasma from breast tumour patients. A pilot study |
| title_sort | metabolomic analysis of plasma from breast tumour patients a pilot study |
| topic | Breast cancer mammography metabolomics plasma GC-MS |
| url | https://www.jphres.org/index.php/jphres/article/view/2304 |
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