Validation of a Novel Biomarker Panel for the Detection of Ovarian Cancer
Ovarian cancer is the most lethal gynecological malignancy. Our integrated -omics approach to ovarian cancer biomarker discovery has identified kallikrein 6 (KLK6) and folate-receptor 1 (FOLR1) as promising candidates but these markers require further validation. KLK6, FOLR1, CA125, and HE4 were inv...
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Veröffentlicht in: | Cancer epidemiology, biomarkers & prevention biomarkers & prevention, 2016-09, Vol.25 (9), p.1333-1340 |
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creator | Leung, Felix Bernardini, Marcus Q Brown, Marshall D Zheng, Yingye Molina, Rafael Bast, Jr, Robert C Davis, Gerard Serra, Stefano Diamandis, Eleftherios P Kulasingam, Vathany |
description | Ovarian cancer is the most lethal gynecological malignancy. Our integrated -omics approach to ovarian cancer biomarker discovery has identified kallikrein 6 (KLK6) and folate-receptor 1 (FOLR1) as promising candidates but these markers require further validation.
KLK6, FOLR1, CA125, and HE4 were investigated in three independent serum cohorts with a total of 20 healthy controls, 150 benign controls, and 216 ovarian cancer patients. The serum biomarker levels were determined by ELISA or automated immunoassay.
All biomarkers demonstrated elevations in the sera of ovarian cancer patients compared with controls (P < 0.01). Overall, CA125 and HE4 displayed the strongest ability (AUC 0.80 and 0.82, respectively) to identify ovarian cancer patients and the addition of HE4 to CA125 improved the sensitivity from 36% to 67% at a set specificity of 95%. In addition, the combination of HE4 and FOLR1 was a strong predictor of ovarian cancer diagnosis, displaying comparable sensitivity (65%) to the best-performing CA125-based models (67%) at a set specificity of 95%.
The markers identified through our integrated -omics approach performed similarly to the clinically approved markers CA125 and HE4. Furthermore, HE4 represents a powerful diagnostic marker for ovarian cancer and should be used more routinely in a clinical setting.
The implications of our study are 2-fold: (i) we have demonstrated the strengths of HE4 alone and in combination with CA125, lending credence to increasing its usage in the clinic; and (ii) we have demonstrated the clinical utility of our integrated -omics approach to identifying novel serum markers with comparable performance to clinical markers. Cancer Epidemiol Biomarkers Prev; 25(9); 1333-40. ©2016 AACR. |
doi_str_mv | 10.1158/1055-9965.epi-15-1299 |
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KLK6, FOLR1, CA125, and HE4 were investigated in three independent serum cohorts with a total of 20 healthy controls, 150 benign controls, and 216 ovarian cancer patients. The serum biomarker levels were determined by ELISA or automated immunoassay.
All biomarkers demonstrated elevations in the sera of ovarian cancer patients compared with controls (P < 0.01). Overall, CA125 and HE4 displayed the strongest ability (AUC 0.80 and 0.82, respectively) to identify ovarian cancer patients and the addition of HE4 to CA125 improved the sensitivity from 36% to 67% at a set specificity of 95%. In addition, the combination of HE4 and FOLR1 was a strong predictor of ovarian cancer diagnosis, displaying comparable sensitivity (65%) to the best-performing CA125-based models (67%) at a set specificity of 95%.
The markers identified through our integrated -omics approach performed similarly to the clinically approved markers CA125 and HE4. Furthermore, HE4 represents a powerful diagnostic marker for ovarian cancer and should be used more routinely in a clinical setting.
The implications of our study are 2-fold: (i) we have demonstrated the strengths of HE4 alone and in combination with CA125, lending credence to increasing its usage in the clinic; and (ii) we have demonstrated the clinical utility of our integrated -omics approach to identifying novel serum markers with comparable performance to clinical markers. Cancer Epidemiol Biomarkers Prev; 25(9); 1333-40. ©2016 AACR.</description><identifier>ISSN: 1055-9965</identifier><identifier>EISSN: 1538-7755</identifier><identifier>DOI: 10.1158/1055-9965.epi-15-1299</identifier><identifier>PMID: 27448593</identifier><language>eng</language><publisher>United States</publisher><subject>Adult ; Aged ; Biomarkers, Tumor - blood ; CA-125 Antigen - blood ; Case-Control Studies ; Early Detection of Cancer - methods ; Enzyme-Linked Immunosorbent Assay ; Female ; Folate Receptor 1 - blood ; Humans ; Kallikreins - blood ; Middle Aged ; Ovarian Neoplasms - blood ; Ovarian Neoplasms - diagnosis ; Ovarian Neoplasms - pathology ; Proteins - analysis ; Retrospective Studies ; ROC Curve ; Sensitivity and Specificity</subject><ispartof>Cancer epidemiology, biomarkers & prevention, 2016-09, Vol.25 (9), p.1333-1340</ispartof><rights>2016 American Association for Cancer Research.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c510t-64a4a0cfbf30adaee816b0ae25f751d28403806eb576e673427ec1b23f9d4ff43</citedby><cites>FETCH-LOGICAL-c510t-64a4a0cfbf30adaee816b0ae25f751d28403806eb576e673427ec1b23f9d4ff43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,3356,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27448593$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Leung, Felix</creatorcontrib><creatorcontrib>Bernardini, Marcus Q</creatorcontrib><creatorcontrib>Brown, Marshall D</creatorcontrib><creatorcontrib>Zheng, Yingye</creatorcontrib><creatorcontrib>Molina, Rafael</creatorcontrib><creatorcontrib>Bast, Jr, Robert C</creatorcontrib><creatorcontrib>Davis, Gerard</creatorcontrib><creatorcontrib>Serra, Stefano</creatorcontrib><creatorcontrib>Diamandis, Eleftherios P</creatorcontrib><creatorcontrib>Kulasingam, Vathany</creatorcontrib><title>Validation of a Novel Biomarker Panel for the Detection of Ovarian Cancer</title><title>Cancer epidemiology, biomarkers & prevention</title><addtitle>Cancer Epidemiol Biomarkers Prev</addtitle><description>Ovarian cancer is the most lethal gynecological malignancy. Our integrated -omics approach to ovarian cancer biomarker discovery has identified kallikrein 6 (KLK6) and folate-receptor 1 (FOLR1) as promising candidates but these markers require further validation.
KLK6, FOLR1, CA125, and HE4 were investigated in three independent serum cohorts with a total of 20 healthy controls, 150 benign controls, and 216 ovarian cancer patients. The serum biomarker levels were determined by ELISA or automated immunoassay.
All biomarkers demonstrated elevations in the sera of ovarian cancer patients compared with controls (P < 0.01). Overall, CA125 and HE4 displayed the strongest ability (AUC 0.80 and 0.82, respectively) to identify ovarian cancer patients and the addition of HE4 to CA125 improved the sensitivity from 36% to 67% at a set specificity of 95%. In addition, the combination of HE4 and FOLR1 was a strong predictor of ovarian cancer diagnosis, displaying comparable sensitivity (65%) to the best-performing CA125-based models (67%) at a set specificity of 95%.
The markers identified through our integrated -omics approach performed similarly to the clinically approved markers CA125 and HE4. Furthermore, HE4 represents a powerful diagnostic marker for ovarian cancer and should be used more routinely in a clinical setting.
The implications of our study are 2-fold: (i) we have demonstrated the strengths of HE4 alone and in combination with CA125, lending credence to increasing its usage in the clinic; and (ii) we have demonstrated the clinical utility of our integrated -omics approach to identifying novel serum markers with comparable performance to clinical markers. Cancer Epidemiol Biomarkers Prev; 25(9); 1333-40. ©2016 AACR.</description><subject>Adult</subject><subject>Aged</subject><subject>Biomarkers, Tumor - blood</subject><subject>CA-125 Antigen - blood</subject><subject>Case-Control Studies</subject><subject>Early Detection of Cancer - methods</subject><subject>Enzyme-Linked Immunosorbent Assay</subject><subject>Female</subject><subject>Folate Receptor 1 - blood</subject><subject>Humans</subject><subject>Kallikreins - blood</subject><subject>Middle Aged</subject><subject>Ovarian Neoplasms - blood</subject><subject>Ovarian Neoplasms - diagnosis</subject><subject>Ovarian Neoplasms - pathology</subject><subject>Proteins - analysis</subject><subject>Retrospective Studies</subject><subject>ROC Curve</subject><subject>Sensitivity and Specificity</subject><issn>1055-9965</issn><issn>1538-7755</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU1P4zAQhi20iO-fAMpxLwGP7bGTy0q7pUAlBByAq-UkY_BuGnedtBL_nlRQBDdO45GfeTWjh7Fj4KcAWJwBR8zLUuMpLUIOmIMoyy22ByiL3BjEH-N7w-yy_b7_yzk3JeIO2xVGqQJLucdmj64NjRtC7LLoM5fdxBW12Z8Q5y79o5TduW7sfUzZ8EzZOQ1Ub-DblUvBddnEdTWlQ7btXdvT0Xs9YA8X0_vJVX59ezmb_L7OawQ-5Fo55XjtKy-5axxRAbrijgR6g9CIQnFZcE0VGk3aSCUM1VAJ6ctGea_kAfv1lrtYVnNqauqG5Fq7SGHc-MVGF-zXny4826e4ssiBKw1jwM_3gBT_L6kf7Dz0NbXteGlc9hYKYUphkItvoKC15KDkiOIbWqfY94n8x0bA7dqYXduwaxt2ejezgHZtbJw7-XzOx9RGkXwF8FCSTw</recordid><startdate>20160901</startdate><enddate>20160901</enddate><creator>Leung, Felix</creator><creator>Bernardini, Marcus Q</creator><creator>Brown, Marshall D</creator><creator>Zheng, Yingye</creator><creator>Molina, Rafael</creator><creator>Bast, Jr, Robert C</creator><creator>Davis, Gerard</creator><creator>Serra, Stefano</creator><creator>Diamandis, Eleftherios P</creator><creator>Kulasingam, Vathany</creator><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><scope>7TO</scope><scope>H94</scope><scope>5PM</scope></search><sort><creationdate>20160901</creationdate><title>Validation of a Novel Biomarker Panel for the Detection of Ovarian Cancer</title><author>Leung, Felix ; Bernardini, Marcus Q ; Brown, Marshall D ; Zheng, Yingye ; Molina, Rafael ; Bast, Jr, Robert C ; Davis, Gerard ; Serra, Stefano ; Diamandis, Eleftherios P ; Kulasingam, Vathany</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c510t-64a4a0cfbf30adaee816b0ae25f751d28403806eb576e673427ec1b23f9d4ff43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biomarkers, Tumor - blood</topic><topic>CA-125 Antigen - blood</topic><topic>Case-Control Studies</topic><topic>Early Detection of Cancer - methods</topic><topic>Enzyme-Linked Immunosorbent Assay</topic><topic>Female</topic><topic>Folate Receptor 1 - blood</topic><topic>Humans</topic><topic>Kallikreins - blood</topic><topic>Middle Aged</topic><topic>Ovarian Neoplasms - blood</topic><topic>Ovarian Neoplasms - diagnosis</topic><topic>Ovarian Neoplasms - pathology</topic><topic>Proteins - analysis</topic><topic>Retrospective Studies</topic><topic>ROC Curve</topic><topic>Sensitivity and Specificity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Leung, Felix</creatorcontrib><creatorcontrib>Bernardini, Marcus Q</creatorcontrib><creatorcontrib>Brown, Marshall D</creatorcontrib><creatorcontrib>Zheng, Yingye</creatorcontrib><creatorcontrib>Molina, Rafael</creatorcontrib><creatorcontrib>Bast, Jr, Robert C</creatorcontrib><creatorcontrib>Davis, Gerard</creatorcontrib><creatorcontrib>Serra, Stefano</creatorcontrib><creatorcontrib>Diamandis, Eleftherios P</creatorcontrib><creatorcontrib>Kulasingam, Vathany</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><collection>Oncogenes and Growth Factors Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cancer epidemiology, biomarkers & prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Leung, Felix</au><au>Bernardini, Marcus Q</au><au>Brown, Marshall D</au><au>Zheng, Yingye</au><au>Molina, Rafael</au><au>Bast, Jr, Robert C</au><au>Davis, Gerard</au><au>Serra, Stefano</au><au>Diamandis, Eleftherios P</au><au>Kulasingam, Vathany</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of a Novel Biomarker Panel for the Detection of Ovarian Cancer</atitle><jtitle>Cancer epidemiology, biomarkers & prevention</jtitle><addtitle>Cancer Epidemiol Biomarkers Prev</addtitle><date>2016-09-01</date><risdate>2016</risdate><volume>25</volume><issue>9</issue><spage>1333</spage><epage>1340</epage><pages>1333-1340</pages><issn>1055-9965</issn><eissn>1538-7755</eissn><abstract>Ovarian cancer is the most lethal gynecological malignancy. Our integrated -omics approach to ovarian cancer biomarker discovery has identified kallikrein 6 (KLK6) and folate-receptor 1 (FOLR1) as promising candidates but these markers require further validation.
KLK6, FOLR1, CA125, and HE4 were investigated in three independent serum cohorts with a total of 20 healthy controls, 150 benign controls, and 216 ovarian cancer patients. The serum biomarker levels were determined by ELISA or automated immunoassay.
All biomarkers demonstrated elevations in the sera of ovarian cancer patients compared with controls (P < 0.01). Overall, CA125 and HE4 displayed the strongest ability (AUC 0.80 and 0.82, respectively) to identify ovarian cancer patients and the addition of HE4 to CA125 improved the sensitivity from 36% to 67% at a set specificity of 95%. In addition, the combination of HE4 and FOLR1 was a strong predictor of ovarian cancer diagnosis, displaying comparable sensitivity (65%) to the best-performing CA125-based models (67%) at a set specificity of 95%.
The markers identified through our integrated -omics approach performed similarly to the clinically approved markers CA125 and HE4. Furthermore, HE4 represents a powerful diagnostic marker for ovarian cancer and should be used more routinely in a clinical setting.
The implications of our study are 2-fold: (i) we have demonstrated the strengths of HE4 alone and in combination with CA125, lending credence to increasing its usage in the clinic; and (ii) we have demonstrated the clinical utility of our integrated -omics approach to identifying novel serum markers with comparable performance to clinical markers. Cancer Epidemiol Biomarkers Prev; 25(9); 1333-40. ©2016 AACR.</abstract><cop>United States</cop><pmid>27448593</pmid><doi>10.1158/1055-9965.epi-15-1299</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Biomarkers, Tumor - blood CA-125 Antigen - blood Case-Control Studies Early Detection of Cancer - methods Enzyme-Linked Immunosorbent Assay Female Folate Receptor 1 - blood Humans Kallikreins - blood Middle Aged Ovarian Neoplasms - blood Ovarian Neoplasms - diagnosis Ovarian Neoplasms - pathology Proteins - analysis Retrospective Studies ROC Curve Sensitivity and Specificity |
title | Validation of a Novel Biomarker Panel for the Detection of Ovarian Cancer |
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