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Inborn-like errors of metabolism are determinants of breast cancer risk, clinical response and survival: a study of human biochemical individuality
Breast cancer remains a leading cause of morbidity and mortality worldwide yet methods for early detection remain elusive. We describe the discovery and validation of biochemical signatures measured by mass spectrometry, performed upon blood samples from patients and controls that accurately identif...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114970/ https://www.ncbi.nlm.nih.gov/pubmed/30167086 http://dx.doi.org/10.18632/oncotarget.25839 |
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author | da Silva, Ismael da Costa Vieira, Rene Stella, Carolina Loturco, Edson Carvalho, André Lopes Veo, Carlos Neto, Cristovam Silva, Sandra M. D'Amora, Paulo Salzgeber, Marcia Matos, Delcio Silva, Celso R. Oliveira, Jose R. Rabelo, Iara Yamakawa, Patricia Maciel, Rui Biscolla, Rosa Chiamolera, Maria Fraietta, Renato Reis, Felipe Mori, Marcelo Marchioni, Dirce Carioca, Antonio Maciel, Gustavo Tomioka, Renato Baracat, Edmund Silva, Clovis Granato, Celso Diaz, Ricardo Scarpellini, Bruno Egle, Daniel Fiegl, Heidi Himmel, Irmgard Troi, Christina Nagourney, Robert |
author_facet | da Silva, Ismael da Costa Vieira, Rene Stella, Carolina Loturco, Edson Carvalho, André Lopes Veo, Carlos Neto, Cristovam Silva, Sandra M. D'Amora, Paulo Salzgeber, Marcia Matos, Delcio Silva, Celso R. Oliveira, Jose R. Rabelo, Iara Yamakawa, Patricia Maciel, Rui Biscolla, Rosa Chiamolera, Maria Fraietta, Renato Reis, Felipe Mori, Marcelo Marchioni, Dirce Carioca, Antonio Maciel, Gustavo Tomioka, Renato Baracat, Edmund Silva, Clovis Granato, Celso Diaz, Ricardo Scarpellini, Bruno Egle, Daniel Fiegl, Heidi Himmel, Irmgard Troi, Christina Nagourney, Robert |
author_sort | da Silva, Ismael |
collection | PubMed |
description | Breast cancer remains a leading cause of morbidity and mortality worldwide yet methods for early detection remain elusive. We describe the discovery and validation of biochemical signatures measured by mass spectrometry, performed upon blood samples from patients and controls that accurately identify (>95%) the presence of clinical breast cancer. Targeted quantitative MS/MS conducted upon 1225 individuals, including patients with breast and other cancers, normal controls as well as individuals with a variety of metabolic disorders provide a biochemical phenotype that accurately identifies the presence of breast cancer and predicts response and survival following the administration of neoadjuvant chemotherapy. The metabolic changes identified are consistent with inborn-like errors of metabolism and define a continuum from normal controls to elevated risk to invasive breast cancer. Similar results were observed in other adenocarcinomas but were not found in squamous cell cancers or hematologic neoplasms. The findings describe a new early detection platform for breast cancer and support a role for pre-existing, inborn-like errors of metabolism in the process of breast carcinogenesis that may also extend to other glandular malignancies. Statement of Significance: Findings provide a powerful tool for early detection and the assessment of prognosis in breast cancer and define a novel concept of breast carcinogenesis that characterizes malignant transformation as the clinical manifestation of underlying metabolic insufficiencies. |
format | Online Article Text |
id | pubmed-6114970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-61149702018-08-30 Inborn-like errors of metabolism are determinants of breast cancer risk, clinical response and survival: a study of human biochemical individuality da Silva, Ismael da Costa Vieira, Rene Stella, Carolina Loturco, Edson Carvalho, André Lopes Veo, Carlos Neto, Cristovam Silva, Sandra M. D'Amora, Paulo Salzgeber, Marcia Matos, Delcio Silva, Celso R. Oliveira, Jose R. Rabelo, Iara Yamakawa, Patricia Maciel, Rui Biscolla, Rosa Chiamolera, Maria Fraietta, Renato Reis, Felipe Mori, Marcelo Marchioni, Dirce Carioca, Antonio Maciel, Gustavo Tomioka, Renato Baracat, Edmund Silva, Clovis Granato, Celso Diaz, Ricardo Scarpellini, Bruno Egle, Daniel Fiegl, Heidi Himmel, Irmgard Troi, Christina Nagourney, Robert Oncotarget Research Paper Breast cancer remains a leading cause of morbidity and mortality worldwide yet methods for early detection remain elusive. We describe the discovery and validation of biochemical signatures measured by mass spectrometry, performed upon blood samples from patients and controls that accurately identify (>95%) the presence of clinical breast cancer. Targeted quantitative MS/MS conducted upon 1225 individuals, including patients with breast and other cancers, normal controls as well as individuals with a variety of metabolic disorders provide a biochemical phenotype that accurately identifies the presence of breast cancer and predicts response and survival following the administration of neoadjuvant chemotherapy. The metabolic changes identified are consistent with inborn-like errors of metabolism and define a continuum from normal controls to elevated risk to invasive breast cancer. Similar results were observed in other adenocarcinomas but were not found in squamous cell cancers or hematologic neoplasms. The findings describe a new early detection platform for breast cancer and support a role for pre-existing, inborn-like errors of metabolism in the process of breast carcinogenesis that may also extend to other glandular malignancies. Statement of Significance: Findings provide a powerful tool for early detection and the assessment of prognosis in breast cancer and define a novel concept of breast carcinogenesis that characterizes malignant transformation as the clinical manifestation of underlying metabolic insufficiencies. Impact Journals LLC 2018-08-03 /pmc/articles/PMC6114970/ /pubmed/30167086 http://dx.doi.org/10.18632/oncotarget.25839 Text en Copyright: © 2018 da Silva et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper da Silva, Ismael da Costa Vieira, Rene Stella, Carolina Loturco, Edson Carvalho, André Lopes Veo, Carlos Neto, Cristovam Silva, Sandra M. D'Amora, Paulo Salzgeber, Marcia Matos, Delcio Silva, Celso R. Oliveira, Jose R. Rabelo, Iara Yamakawa, Patricia Maciel, Rui Biscolla, Rosa Chiamolera, Maria Fraietta, Renato Reis, Felipe Mori, Marcelo Marchioni, Dirce Carioca, Antonio Maciel, Gustavo Tomioka, Renato Baracat, Edmund Silva, Clovis Granato, Celso Diaz, Ricardo Scarpellini, Bruno Egle, Daniel Fiegl, Heidi Himmel, Irmgard Troi, Christina Nagourney, Robert Inborn-like errors of metabolism are determinants of breast cancer risk, clinical response and survival: a study of human biochemical individuality |
title | Inborn-like errors of metabolism are determinants of breast cancer risk, clinical response and survival: a study of human biochemical individuality |
title_full | Inborn-like errors of metabolism are determinants of breast cancer risk, clinical response and survival: a study of human biochemical individuality |
title_fullStr | Inborn-like errors of metabolism are determinants of breast cancer risk, clinical response and survival: a study of human biochemical individuality |
title_full_unstemmed | Inborn-like errors of metabolism are determinants of breast cancer risk, clinical response and survival: a study of human biochemical individuality |
title_short | Inborn-like errors of metabolism are determinants of breast cancer risk, clinical response and survival: a study of human biochemical individuality |
title_sort | inborn-like errors of metabolism are determinants of breast cancer risk, clinical response and survival: a study of human biochemical individuality |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114970/ https://www.ncbi.nlm.nih.gov/pubmed/30167086 http://dx.doi.org/10.18632/oncotarget.25839 |
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