Technology in MicroRNA Profiling: Circulating MicroRNAs as Noninvasive Cancer Biomarkers in Breast Cancer
This report describes technologies to identify and quantify microRNAs (miRNAs) as potential cancer biomarkers, using breast cancer as an example. Most breast cancer patients are not diagnosed until the disease has advanced to later stages, which decreases overall survival rates. Specific miRNAs are...
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| Veröffentlicht in: | Journal of Laboratory Automation 2015-10, Vol.20 (5), p.574-588 |
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| container_title | Journal of Laboratory Automation |
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| creator | Pimentel, Fernando Bonilla, Patricia Ravishankar, Yashwanth G. Contag, Alec Gopal, Nimish LaCour, Sarah Lee, Trenton Niemz, Angelika |
| description | This report describes technologies to identify and quantify microRNAs (miRNAs) as potential cancer biomarkers, using breast cancer as an example. Most breast cancer patients are not diagnosed until the disease has advanced to later stages, which decreases overall survival rates. Specific miRNAs are up- or downregulated in breast cancer patients at various stages, can be detected in plasma and serum, and have shown promising preliminary clinical sensitivity and specificity for early cancer diagnosis or staging. Nucleic acid testing methods to determine relative concentrations of selected miRNAs include reverse transcription, followed by quantitative PCR (RT-qPCR), microarrays, and next-generation sequencing (NGS). Of these methods, NGS is the most powerful approach for miRNA biomarker discovery, whereas RT-qPCR shows the most promise for eventual clinical diagnostic applications. |
| doi_str_mv | 10.1177/2211068214561788 |
| format | Article |
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Most breast cancer patients are not diagnosed until the disease has advanced to later stages, which decreases overall survival rates. Specific miRNAs are up- or downregulated in breast cancer patients at various stages, can be detected in plasma and serum, and have shown promising preliminary clinical sensitivity and specificity for early cancer diagnosis or staging. Nucleic acid testing methods to determine relative concentrations of selected miRNAs include reverse transcription, followed by quantitative PCR (RT-qPCR), microarrays, and next-generation sequencing (NGS). Of these methods, NGS is the most powerful approach for miRNA biomarker discovery, whereas RT-qPCR shows the most promise for eventual clinical diagnostic applications.</description><subject>Automation, Laboratory</subject><subject>Biomarkers - blood</subject><subject>Biomarkers - chemistry</subject><subject>Breast Neoplasms - blood</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Breast Neoplasms - pathology</subject><subject>Early Detection of Cancer - trends</subject><subject>Female</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>Humans</subject><subject>MicroRNAs - blood</subject><subject>MicroRNAs - chemistry</subject><subject>MicroRNAs - isolation & purification</subject><subject>Neoplasm Staging</subject><subject>Prognosis</subject><subject>Sequence Analysis, RNA - trends</subject><issn>2211-0682</issn><issn>2472-6303</issn><issn>1540-2452</issn><issn>2211-0690</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kDtPwzAUhS0EolXpzoQysgR8_Yjtsap4SeUhVGbLceySKo2L3Qz99yRqYUDiLnc43zm69yB0CfgGQIhbQgBwIQkwXoCQ8gSNgTOcE8bJKRoPcj7oIzRNaY37KZQgCp-jEeGcMCblGGVLZz_b0ITVPqvb7Lm2Mby_zLK3GHzd1O3qAp150yQ3Pe4J-ri_W84f88Xrw9N8tsgtFWqXg8IFE6X3UhJWESC88NwaK60F5ZXhlChqgSvDKEihTDngtITK4opCSSfo-pC7jeGrc2mnN3WyrmlM60KXNAigioMqeI_iA9rfmlJ0Xm9jvTFxrwHroRr9t5recnVM78qNq34NP0X0QH4Aklk5vQ5dbPtv_w_8BgK4Z-Q</recordid><startdate>20151001</startdate><enddate>20151001</enddate><creator>Pimentel, Fernando</creator><creator>Bonilla, Patricia</creator><creator>Ravishankar, Yashwanth G.</creator><creator>Contag, Alec</creator><creator>Gopal, Nimish</creator><creator>LaCour, Sarah</creator><creator>Lee, Trenton</creator><creator>Niemz, Angelika</creator><general>SAGE Publications</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20151001</creationdate><title>Technology in MicroRNA Profiling</title><author>Pimentel, Fernando ; Bonilla, Patricia ; Ravishankar, Yashwanth G. ; Contag, Alec ; Gopal, Nimish ; LaCour, Sarah ; Lee, Trenton ; Niemz, Angelika</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c379t-190647bff8824d21256f5cac8cc19f9a53293c159a431879ab647b3b1dc0d31b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Automation, Laboratory</topic><topic>Biomarkers - blood</topic><topic>Biomarkers - chemistry</topic><topic>Breast Neoplasms - blood</topic><topic>Breast Neoplasms - diagnosis</topic><topic>Breast Neoplasms - pathology</topic><topic>Early Detection of Cancer - trends</topic><topic>Female</topic><topic>High-Throughput Nucleotide Sequencing</topic><topic>Humans</topic><topic>MicroRNAs - blood</topic><topic>MicroRNAs - chemistry</topic><topic>MicroRNAs - isolation & purification</topic><topic>Neoplasm Staging</topic><topic>Prognosis</topic><topic>Sequence Analysis, RNA - trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pimentel, Fernando</creatorcontrib><creatorcontrib>Bonilla, Patricia</creatorcontrib><creatorcontrib>Ravishankar, Yashwanth G.</creatorcontrib><creatorcontrib>Contag, Alec</creatorcontrib><creatorcontrib>Gopal, Nimish</creatorcontrib><creatorcontrib>LaCour, Sarah</creatorcontrib><creatorcontrib>Lee, Trenton</creatorcontrib><creatorcontrib>Niemz, Angelika</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of Laboratory Automation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pimentel, Fernando</au><au>Bonilla, Patricia</au><au>Ravishankar, Yashwanth G.</au><au>Contag, Alec</au><au>Gopal, Nimish</au><au>LaCour, Sarah</au><au>Lee, Trenton</au><au>Niemz, Angelika</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Technology in MicroRNA Profiling: Circulating MicroRNAs as Noninvasive Cancer Biomarkers in Breast Cancer</atitle><jtitle>Journal of Laboratory Automation</jtitle><addtitle>J Lab Autom</addtitle><date>2015-10-01</date><risdate>2015</risdate><volume>20</volume><issue>5</issue><spage>574</spage><epage>588</epage><pages>574-588</pages><issn>2211-0682</issn><issn>2472-6303</issn><eissn>1540-2452</eissn><eissn>2211-0690</eissn><abstract>This report describes technologies to identify and quantify microRNAs (miRNAs) as potential cancer biomarkers, using breast cancer as an example. 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| ispartof | Journal of Laboratory Automation, 2015-10, Vol.20 (5), p.574-588 |
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| source | MEDLINE; Alma/SFX Local Collection |
| subjects | Automation, Laboratory Biomarkers - blood Biomarkers - chemistry Breast Neoplasms - blood Breast Neoplasms - diagnosis Breast Neoplasms - pathology Early Detection of Cancer - trends Female High-Throughput Nucleotide Sequencing Humans MicroRNAs - blood MicroRNAs - chemistry MicroRNAs - isolation & purification Neoplasm Staging Prognosis Sequence Analysis, RNA - trends |
| title | Technology in MicroRNA Profiling: Circulating MicroRNAs as Noninvasive Cancer Biomarkers in Breast Cancer |
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