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Urinary Exosomal MicroRNAs as Potential Non-invasive Biomarkers in Breast Cancer Detection
Introduction Breast cancer (BC) is the most frequent malignant disease in women worldwide and is therefore challenging for the healthcare system. Early BC detection remains a leading factor that improves overall outcome and disease management. Aside from established screening procedures, there is a...
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Published in: | Molecular diagnosis & therapy 2020-04, Vol.24 (2), p.215-232 |
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creator | Hirschfeld, Marc Rücker, Gerta Weiß, Daniela Berner, Kai Ritter, Andrea Jäger, Markus Erbes, Thalia |
description | Introduction
Breast cancer (BC) is the most frequent malignant disease in women worldwide and is therefore challenging for the healthcare system. Early BC detection remains a leading factor that improves overall outcome and disease management. Aside from established screening procedures, there is a constant demand for additional BC detection methods. Routine BC screening via non-invasive liquid biopsy biomarkers is one auspicious approach to either complete or even replace the current state-of-the-art diagnostics. The study explores the diagnostic potential of urinary exosomal microRNAs with specific BC biomarker characteristics to initiate the potential prospective application of non-invasive BC screening as routine practice.
Methods
Based on a case–control study (69 BC vs. 40 healthy controls), expression level quantification and subsequent biostatistical computation of 13 urine-derived microRNAs were performed to evaluate their diagnostic relevance in BC.
Results
Multilateral statistical assessment determined and repeatedly confirmed a specific panel of four urinary microRNA types (miR-424, miR-423, miR-660, and let7-i) as a highly specific combinatory biomarker tool discriminating BC patients from healthy controls, with 98.6% sensitivity and 100% specificity.
Discussion
Urine-based BC diagnosis may be achieved through the analysis of distinct microRNA panels with proven biomarker abilities. Subject to further validation, the implementation of urinary BC detection in routine screening offers a promising non-invasive alternative in women’s healthcare. |
doi_str_mv | 10.1007/s40291-020-00453-y |
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Breast cancer (BC) is the most frequent malignant disease in women worldwide and is therefore challenging for the healthcare system. Early BC detection remains a leading factor that improves overall outcome and disease management. Aside from established screening procedures, there is a constant demand for additional BC detection methods. Routine BC screening via non-invasive liquid biopsy biomarkers is one auspicious approach to either complete or even replace the current state-of-the-art diagnostics. The study explores the diagnostic potential of urinary exosomal microRNAs with specific BC biomarker characteristics to initiate the potential prospective application of non-invasive BC screening as routine practice.
Methods
Based on a case–control study (69 BC vs. 40 healthy controls), expression level quantification and subsequent biostatistical computation of 13 urine-derived microRNAs were performed to evaluate their diagnostic relevance in BC.
Results
Multilateral statistical assessment determined and repeatedly confirmed a specific panel of four urinary microRNA types (miR-424, miR-423, miR-660, and let7-i) as a highly specific combinatory biomarker tool discriminating BC patients from healthy controls, with 98.6% sensitivity and 100% specificity.
Discussion
Urine-based BC diagnosis may be achieved through the analysis of distinct microRNA panels with proven biomarker abilities. Subject to further validation, the implementation of urinary BC detection in routine screening offers a promising non-invasive alternative in women’s healthcare.</description><identifier>ISSN: 1177-1062</identifier><identifier>EISSN: 1179-2000</identifier><identifier>DOI: 10.1007/s40291-020-00453-y</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Biomarkers ; Biomedical and Life Sciences ; Biomedicine ; Biopsy ; Breast cancer ; Cancer Research ; Diagnostic systems ; Health care ; Human Genetics ; Laboratory Medicine ; Mammography ; Medical prognosis ; Metastasis ; MicroRNAs ; miRNA ; Molecular Medicine ; Original Research Article ; Pharmacotherapy ; Ribonucleic acid ; RNA ; State-of-the-art reviews ; Ultrasonic imaging ; Urine ; Womens health</subject><ispartof>Molecular diagnosis & therapy, 2020-04, Vol.24 (2), p.215-232</ispartof><rights>Springer Nature Switzerland AG 2020</rights><rights>Copyright Springer Nature B.V. Apr 2020</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-1e3fd36046f23a5a127f2a83a20d820d3b721ff167360082053600577c277db93</citedby><cites>FETCH-LOGICAL-c375t-1e3fd36046f23a5a127f2a83a20d820d3b721ff167360082053600577c277db93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Hirschfeld, Marc</creatorcontrib><creatorcontrib>Rücker, Gerta</creatorcontrib><creatorcontrib>Weiß, Daniela</creatorcontrib><creatorcontrib>Berner, Kai</creatorcontrib><creatorcontrib>Ritter, Andrea</creatorcontrib><creatorcontrib>Jäger, Markus</creatorcontrib><creatorcontrib>Erbes, Thalia</creatorcontrib><title>Urinary Exosomal MicroRNAs as Potential Non-invasive Biomarkers in Breast Cancer Detection</title><title>Molecular diagnosis & therapy</title><addtitle>Mol Diagn Ther</addtitle><description>Introduction
Breast cancer (BC) is the most frequent malignant disease in women worldwide and is therefore challenging for the healthcare system. Early BC detection remains a leading factor that improves overall outcome and disease management. Aside from established screening procedures, there is a constant demand for additional BC detection methods. Routine BC screening via non-invasive liquid biopsy biomarkers is one auspicious approach to either complete or even replace the current state-of-the-art diagnostics. The study explores the diagnostic potential of urinary exosomal microRNAs with specific BC biomarker characteristics to initiate the potential prospective application of non-invasive BC screening as routine practice.
Methods
Based on a case–control study (69 BC vs. 40 healthy controls), expression level quantification and subsequent biostatistical computation of 13 urine-derived microRNAs were performed to evaluate their diagnostic relevance in BC.
Results
Multilateral statistical assessment determined and repeatedly confirmed a specific panel of four urinary microRNA types (miR-424, miR-423, miR-660, and let7-i) as a highly specific combinatory biomarker tool discriminating BC patients from healthy controls, with 98.6% sensitivity and 100% specificity.
Discussion
Urine-based BC diagnosis may be achieved through the analysis of distinct microRNA panels with proven biomarker abilities. Subject to further validation, the implementation of urinary BC detection in routine screening offers a promising non-invasive alternative in women’s healthcare.</description><subject>Biomarkers</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Biopsy</subject><subject>Breast cancer</subject><subject>Cancer Research</subject><subject>Diagnostic systems</subject><subject>Health care</subject><subject>Human Genetics</subject><subject>Laboratory Medicine</subject><subject>Mammography</subject><subject>Medical prognosis</subject><subject>Metastasis</subject><subject>MicroRNAs</subject><subject>miRNA</subject><subject>Molecular Medicine</subject><subject>Original Research Article</subject><subject>Pharmacotherapy</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>State-of-the-art reviews</subject><subject>Ultrasonic imaging</subject><subject>Urine</subject><subject>Womens health</subject><issn>1177-1062</issn><issn>1179-2000</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kEFLAzEQhYMoWKt_wFPAc3SS7G52j21tVahVxF68hHSbldSa1CQt7r837QrePAwzPL43wzyELilcUwBxEzJgFSXAgABkOSftEepRKirCAOD4MAtCoWCn6CyE1R4qKtZDb3NvrPItHn-74D7VGj-a2ruX2SBgFfCzi9pGk-SZs8TYnQpmp_HQJNR_aB-wsXjotQoRj5Sttce3Ouo6GmfP0Umj1kFf_PY-mk_Gr6N7Mn26exgNpqTmIo-Eat4seQFZ0TCuckWZaJgquWKwLFPxhWC0aWghEgRJyfc9F6JmQiwXFe-jq27vxruvrQ5RrtzW23RSMl6WFYe8zBLFOip9F4LXjdx4k55oJQW5z1B2GcqUoTxkKNtk4p0pJNi-a_-3-h_XD0lmc24</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Hirschfeld, Marc</creator><creator>Rücker, Gerta</creator><creator>Weiß, Daniela</creator><creator>Berner, Kai</creator><creator>Ritter, Andrea</creator><creator>Jäger, Markus</creator><creator>Erbes, Thalia</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>4T-</scope><scope>7QO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20200401</creationdate><title>Urinary Exosomal MicroRNAs as Potential Non-invasive Biomarkers in Breast Cancer Detection</title><author>Hirschfeld, Marc ; Rücker, Gerta ; Weiß, Daniela ; Berner, Kai ; Ritter, Andrea ; Jäger, Markus ; Erbes, Thalia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-1e3fd36046f23a5a127f2a83a20d820d3b721ff167360082053600577c277db93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biomarkers</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Biopsy</topic><topic>Breast cancer</topic><topic>Cancer Research</topic><topic>Diagnostic systems</topic><topic>Health care</topic><topic>Human Genetics</topic><topic>Laboratory Medicine</topic><topic>Mammography</topic><topic>Medical prognosis</topic><topic>Metastasis</topic><topic>MicroRNAs</topic><topic>miRNA</topic><topic>Molecular Medicine</topic><topic>Original Research Article</topic><topic>Pharmacotherapy</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>State-of-the-art reviews</topic><topic>Ultrasonic imaging</topic><topic>Urine</topic><topic>Womens health</topic><toplevel>online_resources</toplevel><creatorcontrib>Hirschfeld, Marc</creatorcontrib><creatorcontrib>Rücker, Gerta</creatorcontrib><creatorcontrib>Weiß, Daniela</creatorcontrib><creatorcontrib>Berner, Kai</creatorcontrib><creatorcontrib>Ritter, Andrea</creatorcontrib><creatorcontrib>Jäger, Markus</creatorcontrib><creatorcontrib>Erbes, Thalia</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>Biotechnology Research Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Databases</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Molecular diagnosis & therapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hirschfeld, Marc</au><au>Rücker, Gerta</au><au>Weiß, Daniela</au><au>Berner, Kai</au><au>Ritter, Andrea</au><au>Jäger, Markus</au><au>Erbes, Thalia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Urinary Exosomal MicroRNAs as Potential Non-invasive Biomarkers in Breast Cancer Detection</atitle><jtitle>Molecular diagnosis & therapy</jtitle><stitle>Mol Diagn Ther</stitle><date>2020-04-01</date><risdate>2020</risdate><volume>24</volume><issue>2</issue><spage>215</spage><epage>232</epage><pages>215-232</pages><issn>1177-1062</issn><eissn>1179-2000</eissn><abstract>Introduction
Breast cancer (BC) is the most frequent malignant disease in women worldwide and is therefore challenging for the healthcare system. Early BC detection remains a leading factor that improves overall outcome and disease management. Aside from established screening procedures, there is a constant demand for additional BC detection methods. Routine BC screening via non-invasive liquid biopsy biomarkers is one auspicious approach to either complete or even replace the current state-of-the-art diagnostics. The study explores the diagnostic potential of urinary exosomal microRNAs with specific BC biomarker characteristics to initiate the potential prospective application of non-invasive BC screening as routine practice.
Methods
Based on a case–control study (69 BC vs. 40 healthy controls), expression level quantification and subsequent biostatistical computation of 13 urine-derived microRNAs were performed to evaluate their diagnostic relevance in BC.
Results
Multilateral statistical assessment determined and repeatedly confirmed a specific panel of four urinary microRNA types (miR-424, miR-423, miR-660, and let7-i) as a highly specific combinatory biomarker tool discriminating BC patients from healthy controls, with 98.6% sensitivity and 100% specificity.
Discussion
Urine-based BC diagnosis may be achieved through the analysis of distinct microRNA panels with proven biomarker abilities. Subject to further validation, the implementation of urinary BC detection in routine screening offers a promising non-invasive alternative in women’s healthcare.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40291-020-00453-y</doi><tpages>18</tpages></addata></record> |
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subjects | Biomarkers Biomedical and Life Sciences Biomedicine Biopsy Breast cancer Cancer Research Diagnostic systems Health care Human Genetics Laboratory Medicine Mammography Medical prognosis Metastasis MicroRNAs miRNA Molecular Medicine Original Research Article Pharmacotherapy Ribonucleic acid RNA State-of-the-art reviews Ultrasonic imaging Urine Womens health |
title | Urinary Exosomal MicroRNAs as Potential Non-invasive Biomarkers in Breast Cancer Detection |
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