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Circulating microRNAs miR-331 and miR-195 differentiate local luminal a from metastatic breast cancer

BACKGROUND: Breast cancer is the leading cause of cancer related death in women, with metastasis the principle cause of mortality. New non-invasive prognostic markers are needed for the early detection of metastasis, facilitating treatment decision optimisation. MicroRNA (miRNA) are small, non-codin...

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Autores principales: McAnena, Peter, Tanriverdi, Kahraman, Curran, Catherine, Gilligan, K., Freedman, Jane E., Brown, James A. L., Kerin, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511137/
https://www.ncbi.nlm.nih.gov/pubmed/31077182
http://dx.doi.org/10.1186/s12885-019-5636-y
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author McAnena, Peter
Tanriverdi, Kahraman
Curran, Catherine
Gilligan, K.
Freedman, Jane E.
Brown, James A. L.
Kerin, Michael J.
author_facet McAnena, Peter
Tanriverdi, Kahraman
Curran, Catherine
Gilligan, K.
Freedman, Jane E.
Brown, James A. L.
Kerin, Michael J.
author_sort McAnena, Peter
collection PubMed
description BACKGROUND: Breast cancer is the leading cause of cancer related death in women, with metastasis the principle cause of mortality. New non-invasive prognostic markers are needed for the early detection of metastasis, facilitating treatment decision optimisation. MicroRNA (miRNA) are small, non-coding RNAs regulating gene expression and involved in many cellular processes, including metastasis. As biomarkers, circulating miRNAs (in blood) hold great promise for informing diagnosis or monitoring treatment responses. METHODS: Plasma extracted RNA from age matched local Luminal A (n = 4) or metastatic disease (n = 4) were profiled using Next Generation Sequencing. Selected differentially expressed miRNA were validated on a whole blood extracted miRNA cohort [distant metastatic disease (n = 22), local disease (n = 31), healthy controls (n = 21)]. Area Under the Curve (AUC) in Receiver Operating Characteristic (ROC) analyses was performed. RESULTS: Of 4 miRNA targets tested (miR-181a, miR-329, miR-331, miR-195), mir-331 was significantly over-expressed in patients with metastatic disease, compared to patients with local disease (p < 0.001) or healthy controls (p < 0.001). miR-195 was significantly under-expressed in patients with metastatic disease, compared to patients with local disease (p < 0.001) or healthy controls (p = 0.043). In combination, miR-331 and miR-195 produced an AUC of 0.902, distinguishing metastatic from local breast cancer. CONCLUSIONS: We identified and validated two circulating miRNAs differentiating local Luminal A breast cancers from metastatic breast cancers. Further investigation will reveal the molecular role of these miRNAs in metastasis, and determine if they are subtype specific. This work demonstrates the ability of circulating miRNA to identify metastatic disease, and potentially inform diagnosis or treatment effectiveness. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5636-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-65111372019-05-20 Circulating microRNAs miR-331 and miR-195 differentiate local luminal a from metastatic breast cancer McAnena, Peter Tanriverdi, Kahraman Curran, Catherine Gilligan, K. Freedman, Jane E. Brown, James A. L. Kerin, Michael J. BMC Cancer Research Article BACKGROUND: Breast cancer is the leading cause of cancer related death in women, with metastasis the principle cause of mortality. New non-invasive prognostic markers are needed for the early detection of metastasis, facilitating treatment decision optimisation. MicroRNA (miRNA) are small, non-coding RNAs regulating gene expression and involved in many cellular processes, including metastasis. As biomarkers, circulating miRNAs (in blood) hold great promise for informing diagnosis or monitoring treatment responses. METHODS: Plasma extracted RNA from age matched local Luminal A (n = 4) or metastatic disease (n = 4) were profiled using Next Generation Sequencing. Selected differentially expressed miRNA were validated on a whole blood extracted miRNA cohort [distant metastatic disease (n = 22), local disease (n = 31), healthy controls (n = 21)]. Area Under the Curve (AUC) in Receiver Operating Characteristic (ROC) analyses was performed. RESULTS: Of 4 miRNA targets tested (miR-181a, miR-329, miR-331, miR-195), mir-331 was significantly over-expressed in patients with metastatic disease, compared to patients with local disease (p < 0.001) or healthy controls (p < 0.001). miR-195 was significantly under-expressed in patients with metastatic disease, compared to patients with local disease (p < 0.001) or healthy controls (p = 0.043). In combination, miR-331 and miR-195 produced an AUC of 0.902, distinguishing metastatic from local breast cancer. CONCLUSIONS: We identified and validated two circulating miRNAs differentiating local Luminal A breast cancers from metastatic breast cancers. Further investigation will reveal the molecular role of these miRNAs in metastasis, and determine if they are subtype specific. This work demonstrates the ability of circulating miRNA to identify metastatic disease, and potentially inform diagnosis or treatment effectiveness. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5636-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-10 /pmc/articles/PMC6511137/ /pubmed/31077182 http://dx.doi.org/10.1186/s12885-019-5636-y Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
McAnena, Peter
Tanriverdi, Kahraman
Curran, Catherine
Gilligan, K.
Freedman, Jane E.
Brown, James A. L.
Kerin, Michael J.
Circulating microRNAs miR-331 and miR-195 differentiate local luminal a from metastatic breast cancer
title Circulating microRNAs miR-331 and miR-195 differentiate local luminal a from metastatic breast cancer
title_full Circulating microRNAs miR-331 and miR-195 differentiate local luminal a from metastatic breast cancer
title_fullStr Circulating microRNAs miR-331 and miR-195 differentiate local luminal a from metastatic breast cancer
title_full_unstemmed Circulating microRNAs miR-331 and miR-195 differentiate local luminal a from metastatic breast cancer
title_short Circulating microRNAs miR-331 and miR-195 differentiate local luminal a from metastatic breast cancer
title_sort circulating micrornas mir-331 and mir-195 differentiate local luminal a from metastatic breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511137/
https://www.ncbi.nlm.nih.gov/pubmed/31077182
http://dx.doi.org/10.1186/s12885-019-5636-y
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