Cargando…

Identification of Cell-Free Circulating MicroRNAs for the Detection of Early Breast Cancer and Molecular Subtyping

Early detection is crucial for achieving a reduction in breast cancer mortality. Analysis of circulating cell-free microRNAs present in the serum of cancer patients has emerged as a promising new noninvasive biomarker for early detection of tumors and for predicting their molecular classifications....

Descripción completa

Detalles Bibliográficos
Autores principales: Souza, Karen C. B., Evangelista, Adriane F., Leal, Letícia F., Souza, Cristiano P., Vieira, René A., Causin, Rhafaela L., Neuber, A. C., Pessoa, Daniele P., Passos, Geraldo A. S., Reis, Rui M. V., Marques, Marcia M. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6702831/
https://www.ncbi.nlm.nih.gov/pubmed/31485228
http://dx.doi.org/10.1155/2019/8393769
_version_ 1783445307776827392
author Souza, Karen C. B.
Evangelista, Adriane F.
Leal, Letícia F.
Souza, Cristiano P.
Vieira, René A.
Causin, Rhafaela L.
Neuber, A. C.
Pessoa, Daniele P.
Passos, Geraldo A. S.
Reis, Rui M. V.
Marques, Marcia M. C.
author_facet Souza, Karen C. B.
Evangelista, Adriane F.
Leal, Letícia F.
Souza, Cristiano P.
Vieira, René A.
Causin, Rhafaela L.
Neuber, A. C.
Pessoa, Daniele P.
Passos, Geraldo A. S.
Reis, Rui M. V.
Marques, Marcia M. C.
author_sort Souza, Karen C. B.
collection PubMed
description Early detection is crucial for achieving a reduction in breast cancer mortality. Analysis of circulating cell-free microRNAs present in the serum of cancer patients has emerged as a promising new noninvasive biomarker for early detection of tumors and for predicting their molecular classifications. The rationale for this study was to identify subtype-specific molecular profiles of cell-free microRNAs for early detection of breast cancer in serum. Fifty-four early-stage breast cancers with 27 age-matched controls were selected for circulating microRNAs evaluation in the serum. The 54 cases were molecularly classified (luminal A, luminal B, luminal B Her2 positive, Her-2, triple negative). NanoString platform was used for digital detection and quantitation of 800 tagged microRNA probes and comparing the overall differences in serum microRNA expression from breast cancer cases with controls. We identified the 42 most significant (P ≤ 0.05, 1.5-fold) differentially expressed circulating microRNAs in each molecular subtype for further study. Of these microRNAs, 19 were significantly differentially expressed in patients presenting with luminal A, eight in the luminal B, ten in luminal B HER 2 positive, and four in the HER2 enriched subtype. AUC is high with suitable sensitivity and specificity. For the triple negative subtype miR-25-3p had the best accuracy. Predictive analysis of the mRNA targets suggests they encode proteins involved in molecular pathways such as cell adhesion, migration, and proliferation. This study identified subtype-specific molecular profiles of cell-free microRNAs suitable for early detection of breast cancer selected by comparison to the microRNA profile in serum for female controls without apparent risk of breast cancer. This molecular profile should be validated using larger cohort studies to confirm the potential of these miRNA for future use as early detection biomarkers that could avoid unnecessary biopsy in patients with a suspicion of breast cancer.
format Online
Article
Text
id pubmed-6702831
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-67028312019-09-04 Identification of Cell-Free Circulating MicroRNAs for the Detection of Early Breast Cancer and Molecular Subtyping Souza, Karen C. B. Evangelista, Adriane F. Leal, Letícia F. Souza, Cristiano P. Vieira, René A. Causin, Rhafaela L. Neuber, A. C. Pessoa, Daniele P. Passos, Geraldo A. S. Reis, Rui M. V. Marques, Marcia M. C. J Oncol Research Article Early detection is crucial for achieving a reduction in breast cancer mortality. Analysis of circulating cell-free microRNAs present in the serum of cancer patients has emerged as a promising new noninvasive biomarker for early detection of tumors and for predicting their molecular classifications. The rationale for this study was to identify subtype-specific molecular profiles of cell-free microRNAs for early detection of breast cancer in serum. Fifty-four early-stage breast cancers with 27 age-matched controls were selected for circulating microRNAs evaluation in the serum. The 54 cases were molecularly classified (luminal A, luminal B, luminal B Her2 positive, Her-2, triple negative). NanoString platform was used for digital detection and quantitation of 800 tagged microRNA probes and comparing the overall differences in serum microRNA expression from breast cancer cases with controls. We identified the 42 most significant (P ≤ 0.05, 1.5-fold) differentially expressed circulating microRNAs in each molecular subtype for further study. Of these microRNAs, 19 were significantly differentially expressed in patients presenting with luminal A, eight in the luminal B, ten in luminal B HER 2 positive, and four in the HER2 enriched subtype. AUC is high with suitable sensitivity and specificity. For the triple negative subtype miR-25-3p had the best accuracy. Predictive analysis of the mRNA targets suggests they encode proteins involved in molecular pathways such as cell adhesion, migration, and proliferation. This study identified subtype-specific molecular profiles of cell-free microRNAs suitable for early detection of breast cancer selected by comparison to the microRNA profile in serum for female controls without apparent risk of breast cancer. This molecular profile should be validated using larger cohort studies to confirm the potential of these miRNA for future use as early detection biomarkers that could avoid unnecessary biopsy in patients with a suspicion of breast cancer. Hindawi 2019-08-08 /pmc/articles/PMC6702831/ /pubmed/31485228 http://dx.doi.org/10.1155/2019/8393769 Text en Copyright © 2019 Karen C. B. Souza et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Souza, Karen C. B.
Evangelista, Adriane F.
Leal, Letícia F.
Souza, Cristiano P.
Vieira, René A.
Causin, Rhafaela L.
Neuber, A. C.
Pessoa, Daniele P.
Passos, Geraldo A. S.
Reis, Rui M. V.
Marques, Marcia M. C.
Identification of Cell-Free Circulating MicroRNAs for the Detection of Early Breast Cancer and Molecular Subtyping
title Identification of Cell-Free Circulating MicroRNAs for the Detection of Early Breast Cancer and Molecular Subtyping
title_full Identification of Cell-Free Circulating MicroRNAs for the Detection of Early Breast Cancer and Molecular Subtyping
title_fullStr Identification of Cell-Free Circulating MicroRNAs for the Detection of Early Breast Cancer and Molecular Subtyping
title_full_unstemmed Identification of Cell-Free Circulating MicroRNAs for the Detection of Early Breast Cancer and Molecular Subtyping
title_short Identification of Cell-Free Circulating MicroRNAs for the Detection of Early Breast Cancer and Molecular Subtyping
title_sort identification of cell-free circulating micrornas for the detection of early breast cancer and molecular subtyping
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6702831/
https://www.ncbi.nlm.nih.gov/pubmed/31485228
http://dx.doi.org/10.1155/2019/8393769
work_keys_str_mv AT souzakarencb identificationofcellfreecirculatingmicrornasforthedetectionofearlybreastcancerandmolecularsubtyping
AT evangelistaadrianef identificationofcellfreecirculatingmicrornasforthedetectionofearlybreastcancerandmolecularsubtyping
AT lealleticiaf identificationofcellfreecirculatingmicrornasforthedetectionofearlybreastcancerandmolecularsubtyping
AT souzacristianop identificationofcellfreecirculatingmicrornasforthedetectionofearlybreastcancerandmolecularsubtyping
AT vieirarenea identificationofcellfreecirculatingmicrornasforthedetectionofearlybreastcancerandmolecularsubtyping
AT causinrhafaelal identificationofcellfreecirculatingmicrornasforthedetectionofearlybreastcancerandmolecularsubtyping
AT neuberac identificationofcellfreecirculatingmicrornasforthedetectionofearlybreastcancerandmolecularsubtyping
AT pessoadanielep identificationofcellfreecirculatingmicrornasforthedetectionofearlybreastcancerandmolecularsubtyping
AT passosgeraldoas identificationofcellfreecirculatingmicrornasforthedetectionofearlybreastcancerandmolecularsubtyping
AT reisruimv identificationofcellfreecirculatingmicrornasforthedetectionofearlybreastcancerandmolecularsubtyping
AT marquesmarciamc identificationofcellfreecirculatingmicrornasforthedetectionofearlybreastcancerandmolecularsubtyping