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A Combined DNA/RNA-based Next-Generation Sequencing Platform to Improve the Classification of Pancreatic Cysts and Early Detection of Pancreatic Cancer Arising From Pancreatic Cysts
OBJECTIVE: We report the development and validation of a combined DNA/RNA next-generation sequencing (NGS) platform to improve the evaluation of pancreatic cysts. BACKGROUND AND AIMS: Despite a multidisciplinary approach, pancreatic cyst classification, such as a cystic precursor neoplasm, and the d...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481930/ https://www.ncbi.nlm.nih.gov/pubmed/37212422 http://dx.doi.org/10.1097/SLA.0000000000005904 |
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author | Nikiforova, Marina N. Wald, Abigail I. Spagnolo, Daniel M. Melan, Melissa A. Grupillo, Maria Lai, Yi-Tak Brand, Randall E. O’Broin-Lennon, Anne Marie McGrath, Kevin Park, Walter G. Pfau, Patrick R. Polanco, Patricio M. Kubiliun, Nisa DeWitt, John Easler, Jeffrey J. Dam, Aamir Mok, Shaffer R. Wallace, Michael B. Kumbhari, Vivek Boone, Brian A. Marsh, Wallis Thakkar, Shyam Fairley, Kimberly J. Afghani, Elham Bhat, Yasser Ramrakhiani, Sanjay Nasr, John Skef, Wasseem Thiruvengadam, Nikhil R. Khalid, Asif Fasanella, Kenneth Chennat, Jennifer Das, Rohit Singh, Harkirat Sarkaria, Savreet Slivka, Adam Gabbert, Charles Sawas, Tarek Tielleman, Thomas Vanderveldt, Hendrikus Dutch Tavakkoli, Anna Smith, Lynette M. Smith, Katelyn Bell, Phoenix D. Hruban, Ralph H. Paniccia, Alessandro Zureikat, Amer Lee, Kenneth K. Ongchin, Melanie Zeh, Herbert Minter, Rebecca He, Jin Nikiforov, Yuri E. Singhi, Aatur D. |
author_facet | Nikiforova, Marina N. Wald, Abigail I. Spagnolo, Daniel M. Melan, Melissa A. Grupillo, Maria Lai, Yi-Tak Brand, Randall E. O’Broin-Lennon, Anne Marie McGrath, Kevin Park, Walter G. Pfau, Patrick R. Polanco, Patricio M. Kubiliun, Nisa DeWitt, John Easler, Jeffrey J. Dam, Aamir Mok, Shaffer R. Wallace, Michael B. Kumbhari, Vivek Boone, Brian A. Marsh, Wallis Thakkar, Shyam Fairley, Kimberly J. Afghani, Elham Bhat, Yasser Ramrakhiani, Sanjay Nasr, John Skef, Wasseem Thiruvengadam, Nikhil R. Khalid, Asif Fasanella, Kenneth Chennat, Jennifer Das, Rohit Singh, Harkirat Sarkaria, Savreet Slivka, Adam Gabbert, Charles Sawas, Tarek Tielleman, Thomas Vanderveldt, Hendrikus Dutch Tavakkoli, Anna Smith, Lynette M. Smith, Katelyn Bell, Phoenix D. Hruban, Ralph H. Paniccia, Alessandro Zureikat, Amer Lee, Kenneth K. Ongchin, Melanie Zeh, Herbert Minter, Rebecca He, Jin Nikiforov, Yuri E. Singhi, Aatur D. |
author_sort | Nikiforova, Marina N. |
collection | PubMed |
description | OBJECTIVE: We report the development and validation of a combined DNA/RNA next-generation sequencing (NGS) platform to improve the evaluation of pancreatic cysts. BACKGROUND AND AIMS: Despite a multidisciplinary approach, pancreatic cyst classification, such as a cystic precursor neoplasm, and the detection of high-grade dysplasia and early adenocarcinoma (advanced neoplasia) can be challenging. NGS of preoperative pancreatic cyst fluid improves the clinical evaluation of pancreatic cysts, but the recent identification of novel genomic alterations necessitates the creation of a comprehensive panel and the development of a genomic classifier to integrate the complex molecular results. METHODS: An updated and unique 74-gene DNA/RNA-targeted NGS panel (PancreaSeq Genomic Classifier) was created to evaluate 5 classes of genomic alterations to include gene mutations (e.g., KRAS, GNAS, etc.), gene fusions and gene expression. Further, CEA mRNA (CEACAM5) was integrated into the assay using RT-qPCR. Separate multi-institutional cohorts for training (n=108) and validation (n=77) were tested, and diagnostic performance was compared to clinical, imaging, cytopathologic, and guideline data. RESULTS: Upon creation of a genomic classifier system, PancreaSeq GC yielded a 95% sensitivity and 100% specificity for a cystic precursor neoplasm, and the sensitivity and specificity for advanced neoplasia were 82% and 100%, respectively. Associated symptoms, cyst size, duct dilatation, a mural nodule, increasing cyst size, and malignant cytopathology had lower sensitivities (41–59%) and lower specificities (56–96%) for advanced neoplasia. This test also increased the sensitivity of current pancreatic cyst guidelines (IAP/Fukuoka and AGA) by >10% and maintained their inherent specificity. CONCLUSIONS: PancreaSeq GC was not only accurate in predicting pancreatic cyst type and advanced neoplasia but also improved the sensitivity of current pancreatic cyst guidelines. |
format | Online Article Text |
id | pubmed-10481930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-104819302023-09-07 A Combined DNA/RNA-based Next-Generation Sequencing Platform to Improve the Classification of Pancreatic Cysts and Early Detection of Pancreatic Cancer Arising From Pancreatic Cysts Nikiforova, Marina N. Wald, Abigail I. Spagnolo, Daniel M. Melan, Melissa A. Grupillo, Maria Lai, Yi-Tak Brand, Randall E. O’Broin-Lennon, Anne Marie McGrath, Kevin Park, Walter G. Pfau, Patrick R. Polanco, Patricio M. Kubiliun, Nisa DeWitt, John Easler, Jeffrey J. Dam, Aamir Mok, Shaffer R. Wallace, Michael B. Kumbhari, Vivek Boone, Brian A. Marsh, Wallis Thakkar, Shyam Fairley, Kimberly J. Afghani, Elham Bhat, Yasser Ramrakhiani, Sanjay Nasr, John Skef, Wasseem Thiruvengadam, Nikhil R. Khalid, Asif Fasanella, Kenneth Chennat, Jennifer Das, Rohit Singh, Harkirat Sarkaria, Savreet Slivka, Adam Gabbert, Charles Sawas, Tarek Tielleman, Thomas Vanderveldt, Hendrikus Dutch Tavakkoli, Anna Smith, Lynette M. Smith, Katelyn Bell, Phoenix D. Hruban, Ralph H. Paniccia, Alessandro Zureikat, Amer Lee, Kenneth K. Ongchin, Melanie Zeh, Herbert Minter, Rebecca He, Jin Nikiforov, Yuri E. Singhi, Aatur D. Ann Surg Original Articles OBJECTIVE: We report the development and validation of a combined DNA/RNA next-generation sequencing (NGS) platform to improve the evaluation of pancreatic cysts. BACKGROUND AND AIMS: Despite a multidisciplinary approach, pancreatic cyst classification, such as a cystic precursor neoplasm, and the detection of high-grade dysplasia and early adenocarcinoma (advanced neoplasia) can be challenging. NGS of preoperative pancreatic cyst fluid improves the clinical evaluation of pancreatic cysts, but the recent identification of novel genomic alterations necessitates the creation of a comprehensive panel and the development of a genomic classifier to integrate the complex molecular results. METHODS: An updated and unique 74-gene DNA/RNA-targeted NGS panel (PancreaSeq Genomic Classifier) was created to evaluate 5 classes of genomic alterations to include gene mutations (e.g., KRAS, GNAS, etc.), gene fusions and gene expression. Further, CEA mRNA (CEACAM5) was integrated into the assay using RT-qPCR. Separate multi-institutional cohorts for training (n=108) and validation (n=77) were tested, and diagnostic performance was compared to clinical, imaging, cytopathologic, and guideline data. RESULTS: Upon creation of a genomic classifier system, PancreaSeq GC yielded a 95% sensitivity and 100% specificity for a cystic precursor neoplasm, and the sensitivity and specificity for advanced neoplasia were 82% and 100%, respectively. Associated symptoms, cyst size, duct dilatation, a mural nodule, increasing cyst size, and malignant cytopathology had lower sensitivities (41–59%) and lower specificities (56–96%) for advanced neoplasia. This test also increased the sensitivity of current pancreatic cyst guidelines (IAP/Fukuoka and AGA) by >10% and maintained their inherent specificity. CONCLUSIONS: PancreaSeq GC was not only accurate in predicting pancreatic cyst type and advanced neoplasia but also improved the sensitivity of current pancreatic cyst guidelines. Lippincott Williams & Wilkins 2023-10 2023-05-22 /pmc/articles/PMC10481930/ /pubmed/37212422 http://dx.doi.org/10.1097/SLA.0000000000005904 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Original Articles Nikiforova, Marina N. Wald, Abigail I. Spagnolo, Daniel M. Melan, Melissa A. Grupillo, Maria Lai, Yi-Tak Brand, Randall E. O’Broin-Lennon, Anne Marie McGrath, Kevin Park, Walter G. Pfau, Patrick R. Polanco, Patricio M. Kubiliun, Nisa DeWitt, John Easler, Jeffrey J. Dam, Aamir Mok, Shaffer R. Wallace, Michael B. Kumbhari, Vivek Boone, Brian A. Marsh, Wallis Thakkar, Shyam Fairley, Kimberly J. Afghani, Elham Bhat, Yasser Ramrakhiani, Sanjay Nasr, John Skef, Wasseem Thiruvengadam, Nikhil R. Khalid, Asif Fasanella, Kenneth Chennat, Jennifer Das, Rohit Singh, Harkirat Sarkaria, Savreet Slivka, Adam Gabbert, Charles Sawas, Tarek Tielleman, Thomas Vanderveldt, Hendrikus Dutch Tavakkoli, Anna Smith, Lynette M. Smith, Katelyn Bell, Phoenix D. Hruban, Ralph H. Paniccia, Alessandro Zureikat, Amer Lee, Kenneth K. Ongchin, Melanie Zeh, Herbert Minter, Rebecca He, Jin Nikiforov, Yuri E. Singhi, Aatur D. A Combined DNA/RNA-based Next-Generation Sequencing Platform to Improve the Classification of Pancreatic Cysts and Early Detection of Pancreatic Cancer Arising From Pancreatic Cysts |
title | A Combined DNA/RNA-based Next-Generation Sequencing Platform to Improve the Classification of Pancreatic Cysts and Early Detection of Pancreatic Cancer Arising From Pancreatic Cysts |
title_full | A Combined DNA/RNA-based Next-Generation Sequencing Platform to Improve the Classification of Pancreatic Cysts and Early Detection of Pancreatic Cancer Arising From Pancreatic Cysts |
title_fullStr | A Combined DNA/RNA-based Next-Generation Sequencing Platform to Improve the Classification of Pancreatic Cysts and Early Detection of Pancreatic Cancer Arising From Pancreatic Cysts |
title_full_unstemmed | A Combined DNA/RNA-based Next-Generation Sequencing Platform to Improve the Classification of Pancreatic Cysts and Early Detection of Pancreatic Cancer Arising From Pancreatic Cysts |
title_short | A Combined DNA/RNA-based Next-Generation Sequencing Platform to Improve the Classification of Pancreatic Cysts and Early Detection of Pancreatic Cancer Arising From Pancreatic Cysts |
title_sort | combined dna/rna-based next-generation sequencing platform to improve the classification of pancreatic cysts and early detection of pancreatic cancer arising from pancreatic cysts |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481930/ https://www.ncbi.nlm.nih.gov/pubmed/37212422 http://dx.doi.org/10.1097/SLA.0000000000005904 |
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combineddnarnabasednextgenerationsequencingplatformtoimprovetheclassificationofpancreaticcystsandearlydetectionofpancreaticcancerarisingfrompancreaticcysts AT leekennethk combineddnarnabasednextgenerationsequencingplatformtoimprovetheclassificationofpancreaticcystsandearlydetectionofpancreaticcancerarisingfrompancreaticcysts AT ongchinmelanie combineddnarnabasednextgenerationsequencingplatformtoimprovetheclassificationofpancreaticcystsandearlydetectionofpancreaticcancerarisingfrompancreaticcysts AT zehherbert combineddnarnabasednextgenerationsequencingplatformtoimprovetheclassificationofpancreaticcystsandearlydetectionofpancreaticcancerarisingfrompancreaticcysts AT minterrebecca combineddnarnabasednextgenerationsequencingplatformtoimprovetheclassificationofpancreaticcystsandearlydetectionofpancreaticcancerarisingfrompancreaticcysts AT hejin combineddnarnabasednextgenerationsequencingplatformtoimprovetheclassificationofpancreaticcystsandearlydetectionofpancreaticcancerarisingfrompancreaticcysts AT nikiforovyurie combineddnarnabasednextgenerationsequencingplatformtoimprovetheclassificationofpancreaticcystsandearlydetectionofpancreaticcancerarisingfrompancreaticcysts AT singhiaaturd combineddnarnabasednextgenerationsequencingplatformtoimprovetheclassificationofpancreaticcystsandearlydetectionofpancreaticcancerarisingfrompancreaticcysts |