Cargando…

Using an Untargeted Metabolomics Approach to Identify Salivary Metabolites in Women with Breast Cancer

Metabolic alterations are a hallmark of the malignant transformation in cancer cells, which is characterized by multiple changes in metabolic pathways that are linked to macromolecule synthesis. This study aimed to explore whether salivary metabolites could help discriminate between breast cancer pa...

Descripción completa

Detalles Bibliográficos
Autores principales: Xavier Assad, Daniele, Acevedo, Ana Carolina, Cançado Porto Mascarenhas, Elisa, Costa Normando, Ana Gabriela, Pichon, Valérie, Chardin, Helene, Neves Silva Guerra, Eliete, Combes, Audrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763953/
https://www.ncbi.nlm.nih.gov/pubmed/33322065
http://dx.doi.org/10.3390/metabo10120506
_version_ 1783628141092143104
author Xavier Assad, Daniele
Acevedo, Ana Carolina
Cançado Porto Mascarenhas, Elisa
Costa Normando, Ana Gabriela
Pichon, Valérie
Chardin, Helene
Neves Silva Guerra, Eliete
Combes, Audrey
author_facet Xavier Assad, Daniele
Acevedo, Ana Carolina
Cançado Porto Mascarenhas, Elisa
Costa Normando, Ana Gabriela
Pichon, Valérie
Chardin, Helene
Neves Silva Guerra, Eliete
Combes, Audrey
author_sort Xavier Assad, Daniele
collection PubMed
description Metabolic alterations are a hallmark of the malignant transformation in cancer cells, which is characterized by multiple changes in metabolic pathways that are linked to macromolecule synthesis. This study aimed to explore whether salivary metabolites could help discriminate between breast cancer patients and healthy controls. Saliva samples from 23 breast cancer patients and 35 healthy controls were subjected to untargeted metabolomics using liquid chromatography-quadrupole time-of-flight mass spectrometry and a bioinformatics tool (XCMS Online), which revealed 534 compounds, characterized by their retention time in reverse-phase liquid chromatography and by the m/z ratio detected, that were shared by the two groups. Using the METLIN database, 31 compounds that were upregulated in the breast cancer group (p < 0.05) were identified, including seven oligopeptides and six glycerophospholipids (PG14:2, PA32:1, PS28:0, PS40:6, PI31:1, and PI38:7). In addition, pre-treatment and post-treatment saliva samples were analyzed for 10 patients who experienced at least a partial response to their treatment. In these patients, three peptides and PG14:2 were upregulated before but not after treatment. The area under the curve, sensitivity, and specificity for PG14:2 was 0.7329, 65.22%, and 77.14%, respectively. These results provide new information regarding the salivary metabolite profiles of breast cancer patients, which may be useful biomarkers.
format Online
Article
Text
id pubmed-7763953
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-77639532020-12-27 Using an Untargeted Metabolomics Approach to Identify Salivary Metabolites in Women with Breast Cancer Xavier Assad, Daniele Acevedo, Ana Carolina Cançado Porto Mascarenhas, Elisa Costa Normando, Ana Gabriela Pichon, Valérie Chardin, Helene Neves Silva Guerra, Eliete Combes, Audrey Metabolites Article Metabolic alterations are a hallmark of the malignant transformation in cancer cells, which is characterized by multiple changes in metabolic pathways that are linked to macromolecule synthesis. This study aimed to explore whether salivary metabolites could help discriminate between breast cancer patients and healthy controls. Saliva samples from 23 breast cancer patients and 35 healthy controls were subjected to untargeted metabolomics using liquid chromatography-quadrupole time-of-flight mass spectrometry and a bioinformatics tool (XCMS Online), which revealed 534 compounds, characterized by their retention time in reverse-phase liquid chromatography and by the m/z ratio detected, that were shared by the two groups. Using the METLIN database, 31 compounds that were upregulated in the breast cancer group (p < 0.05) were identified, including seven oligopeptides and six glycerophospholipids (PG14:2, PA32:1, PS28:0, PS40:6, PI31:1, and PI38:7). In addition, pre-treatment and post-treatment saliva samples were analyzed for 10 patients who experienced at least a partial response to their treatment. In these patients, three peptides and PG14:2 were upregulated before but not after treatment. The area under the curve, sensitivity, and specificity for PG14:2 was 0.7329, 65.22%, and 77.14%, respectively. These results provide new information regarding the salivary metabolite profiles of breast cancer patients, which may be useful biomarkers. MDPI 2020-12-10 /pmc/articles/PMC7763953/ /pubmed/33322065 http://dx.doi.org/10.3390/metabo10120506 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xavier Assad, Daniele
Acevedo, Ana Carolina
Cançado Porto Mascarenhas, Elisa
Costa Normando, Ana Gabriela
Pichon, Valérie
Chardin, Helene
Neves Silva Guerra, Eliete
Combes, Audrey
Using an Untargeted Metabolomics Approach to Identify Salivary Metabolites in Women with Breast Cancer
title Using an Untargeted Metabolomics Approach to Identify Salivary Metabolites in Women with Breast Cancer
title_full Using an Untargeted Metabolomics Approach to Identify Salivary Metabolites in Women with Breast Cancer
title_fullStr Using an Untargeted Metabolomics Approach to Identify Salivary Metabolites in Women with Breast Cancer
title_full_unstemmed Using an Untargeted Metabolomics Approach to Identify Salivary Metabolites in Women with Breast Cancer
title_short Using an Untargeted Metabolomics Approach to Identify Salivary Metabolites in Women with Breast Cancer
title_sort using an untargeted metabolomics approach to identify salivary metabolites in women with breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763953/
https://www.ncbi.nlm.nih.gov/pubmed/33322065
http://dx.doi.org/10.3390/metabo10120506
work_keys_str_mv AT xavierassaddaniele usinganuntargetedmetabolomicsapproachtoidentifysalivarymetabolitesinwomenwithbreastcancer
AT acevedoanacarolina usinganuntargetedmetabolomicsapproachtoidentifysalivarymetabolitesinwomenwithbreastcancer
AT cancadoportomascarenhaselisa usinganuntargetedmetabolomicsapproachtoidentifysalivarymetabolitesinwomenwithbreastcancer
AT costanormandoanagabriela usinganuntargetedmetabolomicsapproachtoidentifysalivarymetabolitesinwomenwithbreastcancer
AT pichonvalerie usinganuntargetedmetabolomicsapproachtoidentifysalivarymetabolitesinwomenwithbreastcancer
AT chardinhelene usinganuntargetedmetabolomicsapproachtoidentifysalivarymetabolitesinwomenwithbreastcancer
AT nevessilvaguerraeliete usinganuntargetedmetabolomicsapproachtoidentifysalivarymetabolitesinwomenwithbreastcancer
AT combesaudrey usinganuntargetedmetabolomicsapproachtoidentifysalivarymetabolitesinwomenwithbreastcancer