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Diagnostic Accuracy of Blood-based Biomarkers for Pancreatic Cancer: A Systematic Review and Meta-analysis

Pancreatic ductal adenocarcinoma (PDAC) has a 5-year survival rate below 5%. Carbohydrate antigen 19-9 (CA19-9) is the most commonly used blood-based biomarker for PDAC in current clinical practice, despite having been shown repeatedly to be inaccurate and have poor diagnostic performance. This revi...

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Autores principales: Kane, Laura E., Mellotte, Gregory S., Mylod, Eimear, O'Brien, Rebecca M., O'Connell, Fiona, Buckley, Croí E., Arlow, Jennifer, Nguyen, Khanh, Mockler, David, Meade, Aidan D., Ryan, Barbara M., Maher, Stephen G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035398/
https://www.ncbi.nlm.nih.gov/pubmed/36969742
http://dx.doi.org/10.1158/2767-9764.CRC-22-0190
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author Kane, Laura E.
Mellotte, Gregory S.
Mylod, Eimear
O'Brien, Rebecca M.
O'Connell, Fiona
Buckley, Croí E.
Arlow, Jennifer
Nguyen, Khanh
Mockler, David
Meade, Aidan D.
Ryan, Barbara M.
Maher, Stephen G.
author_facet Kane, Laura E.
Mellotte, Gregory S.
Mylod, Eimear
O'Brien, Rebecca M.
O'Connell, Fiona
Buckley, Croí E.
Arlow, Jennifer
Nguyen, Khanh
Mockler, David
Meade, Aidan D.
Ryan, Barbara M.
Maher, Stephen G.
author_sort Kane, Laura E.
collection PubMed
description Pancreatic ductal adenocarcinoma (PDAC) has a 5-year survival rate below 5%. Carbohydrate antigen 19-9 (CA19-9) is the most commonly used blood-based biomarker for PDAC in current clinical practice, despite having been shown repeatedly to be inaccurate and have poor diagnostic performance. This review aims to assess the reported diagnostic accuracy of all blood-based biomarkers investigated to date in PDAC, by directly comparing individual biomarkers and multi-biomarker panels, both containing CA19-9 and not (novel). A systematic review was conducted in accordance with PRISMA standards in July 2020. Individualized search strategies for three academic databases identified 5,885 studies between the years 1973 and 2020. After two rounds of screening, 250 studies were included. Data were extracted and assessed for bias. A multivariate three-level meta-analysis with subgroup moderators was run in R using AUC values as effect size. On the basis of this model, the pooled AUC value for all multi-biomarker panels (AUC = 0.898; 95% confidence interval (CI): 0.88–0.91) was significantly higher than all single biomarkers (AUC = 0.803; 95% CI: 0.78–0.83; P < 0.0001). The pooled AUC value for CA19-9 alone was significantly lower compared with the multi-biomarker panels containing CA19-9 (P < 0.0001). For the novel biomarkers, the pooled AUC for single biomarkers was also significantly lower compared with multi-biomarker panels (P < 0.0001). Novel biomarkers that have been repeatedly examined across the literature, such as TIMP-1, CEA, and CA125, are highlighted as promising. These results suggest that CA19-9 may be best used as an addition to a panel of biomarkers rather than alone, and that multi-biomarker panels generate the most robust results in blood-based PDAC diagnosis. SIGNIFICANCE: In a systematic review and three-level multivariate meta-analysis, it is shown for the first time that blood-based multi-biomarker panels for the diagnosis of PDAC exhibit superior performance in comparison with single biomarkers. CA19-9 is demonstrated to have limited utility alone, and to perform poorly in patient control cohorts of both healthy and benign individuals. Multi-biomarker panels containing CA19-9 produce the best diagnostic performance overall.
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spelling pubmed-100353982023-03-24 Diagnostic Accuracy of Blood-based Biomarkers for Pancreatic Cancer: A Systematic Review and Meta-analysis Kane, Laura E. Mellotte, Gregory S. Mylod, Eimear O'Brien, Rebecca M. O'Connell, Fiona Buckley, Croí E. Arlow, Jennifer Nguyen, Khanh Mockler, David Meade, Aidan D. Ryan, Barbara M. Maher, Stephen G. Cancer Res Commun Research Article Pancreatic ductal adenocarcinoma (PDAC) has a 5-year survival rate below 5%. Carbohydrate antigen 19-9 (CA19-9) is the most commonly used blood-based biomarker for PDAC in current clinical practice, despite having been shown repeatedly to be inaccurate and have poor diagnostic performance. This review aims to assess the reported diagnostic accuracy of all blood-based biomarkers investigated to date in PDAC, by directly comparing individual biomarkers and multi-biomarker panels, both containing CA19-9 and not (novel). A systematic review was conducted in accordance with PRISMA standards in July 2020. Individualized search strategies for three academic databases identified 5,885 studies between the years 1973 and 2020. After two rounds of screening, 250 studies were included. Data were extracted and assessed for bias. A multivariate three-level meta-analysis with subgroup moderators was run in R using AUC values as effect size. On the basis of this model, the pooled AUC value for all multi-biomarker panels (AUC = 0.898; 95% confidence interval (CI): 0.88–0.91) was significantly higher than all single biomarkers (AUC = 0.803; 95% CI: 0.78–0.83; P < 0.0001). The pooled AUC value for CA19-9 alone was significantly lower compared with the multi-biomarker panels containing CA19-9 (P < 0.0001). For the novel biomarkers, the pooled AUC for single biomarkers was also significantly lower compared with multi-biomarker panels (P < 0.0001). Novel biomarkers that have been repeatedly examined across the literature, such as TIMP-1, CEA, and CA125, are highlighted as promising. These results suggest that CA19-9 may be best used as an addition to a panel of biomarkers rather than alone, and that multi-biomarker panels generate the most robust results in blood-based PDAC diagnosis. SIGNIFICANCE: In a systematic review and three-level multivariate meta-analysis, it is shown for the first time that blood-based multi-biomarker panels for the diagnosis of PDAC exhibit superior performance in comparison with single biomarkers. CA19-9 is demonstrated to have limited utility alone, and to perform poorly in patient control cohorts of both healthy and benign individuals. Multi-biomarker panels containing CA19-9 produce the best diagnostic performance overall. American Association for Cancer Research 2022-10-20 /pmc/articles/PMC10035398/ /pubmed/36969742 http://dx.doi.org/10.1158/2767-9764.CRC-22-0190 Text en © 2022 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by/4.0/This open access article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
spellingShingle Research Article
Kane, Laura E.
Mellotte, Gregory S.
Mylod, Eimear
O'Brien, Rebecca M.
O'Connell, Fiona
Buckley, Croí E.
Arlow, Jennifer
Nguyen, Khanh
Mockler, David
Meade, Aidan D.
Ryan, Barbara M.
Maher, Stephen G.
Diagnostic Accuracy of Blood-based Biomarkers for Pancreatic Cancer: A Systematic Review and Meta-analysis
title Diagnostic Accuracy of Blood-based Biomarkers for Pancreatic Cancer: A Systematic Review and Meta-analysis
title_full Diagnostic Accuracy of Blood-based Biomarkers for Pancreatic Cancer: A Systematic Review and Meta-analysis
title_fullStr Diagnostic Accuracy of Blood-based Biomarkers for Pancreatic Cancer: A Systematic Review and Meta-analysis
title_full_unstemmed Diagnostic Accuracy of Blood-based Biomarkers for Pancreatic Cancer: A Systematic Review and Meta-analysis
title_short Diagnostic Accuracy of Blood-based Biomarkers for Pancreatic Cancer: A Systematic Review and Meta-analysis
title_sort diagnostic accuracy of blood-based biomarkers for pancreatic cancer: a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035398/
https://www.ncbi.nlm.nih.gov/pubmed/36969742
http://dx.doi.org/10.1158/2767-9764.CRC-22-0190
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