Ultra-sensitive protein detection via Single Molecule Arrays towards early stage cancer monitoring
The early diagnosis of cancers and continued monitoring of tumor growth would be greatly facilitated by the development of a blood-based, non-invasive, screening technique for early cancer detection. Current technologies for cancer screening and detection typically rely on imaging techniques or bloo...
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description | The early diagnosis of cancers and continued monitoring of tumor growth would be greatly facilitated by the development of a blood-based, non-invasive, screening technique for early cancer detection. Current technologies for cancer screening and detection typically rely on imaging techniques or blood tests that are not accurate or sensitive enough to definitively diagnose cancer at its earliest stages or predict biologic outcomes. By utilizing Single Molecule Arrays (SiMoA), an ultra-sensitive enzyme-linked immunosorbent assay (ELISA) technique, we were able to measure increasing levels of prostate specific antigen (PSA) within murine serum over time, which we attribute to tumor development. The measured concentrations of PSA were well below the detectable limits of both a leading clinical diagnostic PSA ELISA assay as well as a commercial ultra-sensitive PSA assay. Our work benchmarks the role of SiMoA as a vital tool in monitoring previously non-detectable protein biomarkers in serum for early cancer detection and offers significant potential as a non-invasive platform for the monitoring of early stage cancer. |
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Current technologies for cancer screening and detection typically rely on imaging techniques or blood tests that are not accurate or sensitive enough to definitively diagnose cancer at its earliest stages or predict biologic outcomes. By utilizing Single Molecule Arrays (SiMoA), an ultra-sensitive enzyme-linked immunosorbent assay (ELISA) technique, we were able to measure increasing levels of prostate specific antigen (PSA) within murine serum over time, which we attribute to tumor development. The measured concentrations of PSA were well below the detectable limits of both a leading clinical diagnostic PSA ELISA assay as well as a commercial ultra-sensitive PSA assay. 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Current technologies for cancer screening and detection typically rely on imaging techniques or blood tests that are not accurate or sensitive enough to definitively diagnose cancer at its earliest stages or predict biologic outcomes. By utilizing Single Molecule Arrays (SiMoA), an ultra-sensitive enzyme-linked immunosorbent assay (ELISA) technique, we were able to measure increasing levels of prostate specific antigen (PSA) within murine serum over time, which we attribute to tumor development. The measured concentrations of PSA were well below the detectable limits of both a leading clinical diagnostic PSA ELISA assay as well as a commercial ultra-sensitive PSA assay. 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blood</subject><subject>Prostate</subject><subject>Prostate-Specific Antigen - blood</subject><subject>Prostatic Neoplasms - blood</subject><subject>Protein Array Analysis - methods</subject><subject>Science</subject><subject>Sensitivity and Specificity</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNplkcFrHCEYxaU0JGGTQ_6BIvTSFCZRZ5zRS2EJaVpIyKHdszjON1uXWZ2qs2H_-xg2WbaNFx_48_k-H0IXlFxRUorrGGCkWVUf0CkjFS9YydjHA32CzmNckbw4kxWVx-iE1VlTUp-idjGkoIsILtpkN4DH4BNYhztIYJL1Dm-sxr-sWw6AH_wAZspiHoLeRpz8kw5dxKDDsMUx6SVgo52BgNfe2eRDvneGjno9RDh_3Wdo8f32982P4v7x7ufN_L4wOVRV0BKavmMMGtpXDSclh1IAa7Xuesp5L5qG5JH6lom2bk1dskp3kpq6Zk1PuCln6NvOd5zaNXQGXJ5sUGOwax22ymur_j1x9o9a-o2qKi4kZdngy6tB8H8niEmtbTQwDNqBn6Kitail5FKIjH7-D135Kbg8nqIiM1wQKTN1uaNM8DH31O_DUKJeylP78jL76TD9nnyrKgNfd0AcX34VwsGT79yeAfqfpKk</recordid><startdate>20150608</startdate><enddate>20150608</enddate><creator>Schubert, Stephanie M.</creator><creator>Arendt, Lisa M.</creator><creator>Zhou, Wenhui</creator><creator>Baig, Shazia</creator><creator>Walter, Stephanie R.</creator><creator>Buchsbaum, Rachel J.</creator><creator>Kuperwasser, Charlotte</creator><creator>Walt, David R.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20150608</creationdate><title>Ultra-sensitive protein detection via Single Molecule Arrays towards early stage cancer monitoring</title><author>Schubert, Stephanie M. ; Arendt, Lisa M. ; Zhou, Wenhui ; Baig, Shazia ; Walter, Stephanie R. ; Buchsbaum, Rachel J. ; Kuperwasser, Charlotte ; Walt, David R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4194-13e7fd22e71f475035e38e2baadf155f8770045fb28b6bc6324ad91c6627f05c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>631/67/2322</topic><topic>692/53/2423</topic><topic>82</topic><topic>Animals</topic><topic>Benchmarks</topic><topic>Blood</topic><topic>Cancer</topic><topic>Cancer screening</topic><topic>Cell Line, Tumor</topic><topic>Enzyme-linked immunosorbent assay</topic><topic>Enzyme-Linked Immunosorbent Assay - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schubert, Stephanie M.</au><au>Arendt, Lisa M.</au><au>Zhou, Wenhui</au><au>Baig, Shazia</au><au>Walter, Stephanie R.</au><au>Buchsbaum, Rachel J.</au><au>Kuperwasser, Charlotte</au><au>Walt, David R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ultra-sensitive protein detection via Single Molecule Arrays towards early stage cancer monitoring</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2015-06-08</date><risdate>2015</risdate><volume>5</volume><issue>1</issue><spage>11034</spage><epage>11034</epage><pages>11034-11034</pages><artnum>11034</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>The early diagnosis of cancers and continued monitoring of tumor growth would be greatly facilitated by the development of a blood-based, non-invasive, screening technique for early cancer detection. 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subjects | 631/67/2322 692/53/2423 82 Animals Benchmarks Blood Cancer Cancer screening Cell Line, Tumor Enzyme-linked immunosorbent assay Enzyme-Linked Immunosorbent Assay - methods Humanities and Social Sciences Humans Kallikreins - blood Male Medical screening Mice Mice, Inbred NOD Mice, SCID Monitoring, Physiologic - methods multidisciplinary Neoplasm Staging Neoplasms, Experimental - blood Prostate Prostate-Specific Antigen - blood Prostatic Neoplasms - blood Protein Array Analysis - methods Science Sensitivity and Specificity |
title | Ultra-sensitive protein detection via Single Molecule Arrays towards early stage cancer monitoring |
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