Identification of a biomarker panel using a multiplex proximity ligation assay improves accuracy of pancreatic cancer diagnosis
<p>Abstract</p> <p>Background</p> <p>Pancreatic cancer continues to prove difficult to clinically diagnose. Multiple simultaneous measurements of plasma biomarkers can increase sensitivity and selectivity of diagnosis. Proximity ligation assay (PLA) is a highly sensitiv...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2009-12-01
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| Series: | Journal of Translational Medicine |
| Online Access: | http://www.translational-medicine.com/content/7/1/105 |
| _version_ | 1818421066247176192 |
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| author | Fisher George A Ford James M Kunz Pamela L Horecka Joe Zahn Jacob M Chang Stephanie T Le Quynh T Chang Daniel T Ji Hanlee Koong Albert C |
| author_facet | Fisher George A Ford James M Kunz Pamela L Horecka Joe Zahn Jacob M Chang Stephanie T Le Quynh T Chang Daniel T Ji Hanlee Koong Albert C |
| author_sort | Fisher George A |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>Pancreatic cancer continues to prove difficult to clinically diagnose. Multiple simultaneous measurements of plasma biomarkers can increase sensitivity and selectivity of diagnosis. Proximity ligation assay (PLA) is a highly sensitive technique for multiplex detection of biomarkers in plasma with little or no interfering background signal.</p> <p>Methods</p> <p>We examined the plasma levels of 21 biomarkers in a clinically defined cohort of 52 locally advanced (Stage II/III) pancreatic ductal adenocarcinoma cases and 43 age-matched controls using a multiplex proximity ligation assay. The optimal biomarker panel for diagnosis was computed using a combination of the PAM algorithm and logistic regression modeling. Biomarkers that were significantly prognostic for survival in combination were determined using univariate and multivariate Cox survival models.</p> <p>Results</p> <p>Three markers, CA19-9, OPN and CHI3L1, measured in multiplex were found to have superior sensitivity for pancreatic cancer vs. CA19-9 alone (93% vs. 80%). In addition, we identified two markers, CEA and CA125, that when measured simultaneously have prognostic significance for survival for this clinical stage of pancreatic cancer (<it>p </it>< 0.003).</p> <p>Conclusions</p> <p>A multiplex panel assaying CA19-9, OPN and CHI3L1 in plasma improves accuracy of pancreatic cancer diagnosis. A panel assaying CEA and CA125 in plasma can predict survival for this clinical cohort of pancreatic cancer patients.</p> |
| first_indexed | 2024-12-14T13:04:27Z |
| format | Article |
| id | doaj.art-5cdf7208778c49cc85095c704514b15e |
| institution | Directory Open Access Journal |
| issn | 1479-5876 |
| language | English |
| last_indexed | 2024-12-14T13:04:27Z |
| publishDate | 2009-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Translational Medicine |
| spelling | doaj.art-5cdf7208778c49cc85095c704514b15e2022-12-21T23:00:20ZengBMCJournal of Translational Medicine1479-58762009-12-017110510.1186/1479-5876-7-105Identification of a biomarker panel using a multiplex proximity ligation assay improves accuracy of pancreatic cancer diagnosisFisher George AFord James MKunz Pamela LHorecka JoeZahn Jacob MChang Stephanie TLe Quynh TChang Daniel TJi HanleeKoong Albert C<p>Abstract</p> <p>Background</p> <p>Pancreatic cancer continues to prove difficult to clinically diagnose. Multiple simultaneous measurements of plasma biomarkers can increase sensitivity and selectivity of diagnosis. Proximity ligation assay (PLA) is a highly sensitive technique for multiplex detection of biomarkers in plasma with little or no interfering background signal.</p> <p>Methods</p> <p>We examined the plasma levels of 21 biomarkers in a clinically defined cohort of 52 locally advanced (Stage II/III) pancreatic ductal adenocarcinoma cases and 43 age-matched controls using a multiplex proximity ligation assay. The optimal biomarker panel for diagnosis was computed using a combination of the PAM algorithm and logistic regression modeling. Biomarkers that were significantly prognostic for survival in combination were determined using univariate and multivariate Cox survival models.</p> <p>Results</p> <p>Three markers, CA19-9, OPN and CHI3L1, measured in multiplex were found to have superior sensitivity for pancreatic cancer vs. CA19-9 alone (93% vs. 80%). In addition, we identified two markers, CEA and CA125, that when measured simultaneously have prognostic significance for survival for this clinical stage of pancreatic cancer (<it>p </it>< 0.003).</p> <p>Conclusions</p> <p>A multiplex panel assaying CA19-9, OPN and CHI3L1 in plasma improves accuracy of pancreatic cancer diagnosis. A panel assaying CEA and CA125 in plasma can predict survival for this clinical cohort of pancreatic cancer patients.</p>http://www.translational-medicine.com/content/7/1/105 |
| spellingShingle | Fisher George A Ford James M Kunz Pamela L Horecka Joe Zahn Jacob M Chang Stephanie T Le Quynh T Chang Daniel T Ji Hanlee Koong Albert C Identification of a biomarker panel using a multiplex proximity ligation assay improves accuracy of pancreatic cancer diagnosis Journal of Translational Medicine |
| title | Identification of a biomarker panel using a multiplex proximity ligation assay improves accuracy of pancreatic cancer diagnosis |
| title_full | Identification of a biomarker panel using a multiplex proximity ligation assay improves accuracy of pancreatic cancer diagnosis |
| title_fullStr | Identification of a biomarker panel using a multiplex proximity ligation assay improves accuracy of pancreatic cancer diagnosis |
| title_full_unstemmed | Identification of a biomarker panel using a multiplex proximity ligation assay improves accuracy of pancreatic cancer diagnosis |
| title_short | Identification of a biomarker panel using a multiplex proximity ligation assay improves accuracy of pancreatic cancer diagnosis |
| title_sort | identification of a biomarker panel using a multiplex proximity ligation assay improves accuracy of pancreatic cancer diagnosis |
| url | http://www.translational-medicine.com/content/7/1/105 |
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