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Linc-ing Circulating Long Non-coding RNAs to the Diagnosis and Malignant Prediction of Intraductal Papillary Mucinous Neoplasms of the Pancreas

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive disease that lacks effective biomarkers for early detection. We hypothesized that circulating long non-coding RNAs (lncRNAs) may act as diagnostic markers of incidentally-detected cystic PDAC precursors known as intraductal papillary mucinous...

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Autores principales: Permuth, Jennifer B., Chen, Dung-Tsa, Yoder, Sean J., Li, Jiannong, Smith, Andrew T., Choi, Jung W., Kim, Jongphil, Balagurunathan, Yoganand, Jiang, Kun, Coppola, Domenico, Centeno, Barbara A., Klapman, Jason, Hodul, Pam, Karreth, Florian A., Trevino, Jose G., Merchant, Nipun, Magliocco, Anthony, Malafa, Mokenge P., Gillies, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5585319/
https://www.ncbi.nlm.nih.gov/pubmed/28874676
http://dx.doi.org/10.1038/s41598-017-09754-5
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author Permuth, Jennifer B.
Chen, Dung-Tsa
Yoder, Sean J.
Li, Jiannong
Smith, Andrew T.
Choi, Jung W.
Kim, Jongphil
Balagurunathan, Yoganand
Jiang, Kun
Coppola, Domenico
Centeno, Barbara A.
Klapman, Jason
Hodul, Pam
Karreth, Florian A.
Trevino, Jose G.
Merchant, Nipun
Magliocco, Anthony
Malafa, Mokenge P.
Gillies, Robert
author_facet Permuth, Jennifer B.
Chen, Dung-Tsa
Yoder, Sean J.
Li, Jiannong
Smith, Andrew T.
Choi, Jung W.
Kim, Jongphil
Balagurunathan, Yoganand
Jiang, Kun
Coppola, Domenico
Centeno, Barbara A.
Klapman, Jason
Hodul, Pam
Karreth, Florian A.
Trevino, Jose G.
Merchant, Nipun
Magliocco, Anthony
Malafa, Mokenge P.
Gillies, Robert
author_sort Permuth, Jennifer B.
collection PubMed
description Pancreatic ductal adenocarcinoma (PDAC) is an aggressive disease that lacks effective biomarkers for early detection. We hypothesized that circulating long non-coding RNAs (lncRNAs) may act as diagnostic markers of incidentally-detected cystic PDAC precursors known as intraductal papillary mucinous neoplasms (IPMNs) and predictors of their pathology/histological classification. Using NanoString nCounter® technology, we measured the abundance of 28 candidate lncRNAs in pre-operative plasma from a cohort of pathologically-confirmed IPMN cases of various grades of severity and non-diseased controls. Results showed that two lncRNAs (GAS5 and SRA) aided in differentiating IPMNs from controls. An 8-lncRNA signature (including ADARB2-AS1, ANRIL, GLIS3-AS1, LINC00472, MEG3, PANDA, PVT1, and UCA1) had greater accuracy than standard clinical and radiologic features in distinguishing ‘aggressive/malignant’ IPMNs that warrant surgical removal from ‘indolent/benign’ IPMNs that can be observed. When the 8-lncRNA signature was combined with plasma miRNA data and quantitative ‘radiomic’ imaging features, the accuracy of predicting IPMN pathological classification improved. Our findings provide novel information on the ability to detect lncRNAs in plasma from patients with IPMNs and suggest that an lncRNA-based blood test may have utility as a diagnostic adjunct for identifying IPMNs and their pathology, especially when incorporated with biomarkers such as miRNAs, quantitative imaging features, and clinical data.
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spelling pubmed-55853192017-09-06 Linc-ing Circulating Long Non-coding RNAs to the Diagnosis and Malignant Prediction of Intraductal Papillary Mucinous Neoplasms of the Pancreas Permuth, Jennifer B. Chen, Dung-Tsa Yoder, Sean J. Li, Jiannong Smith, Andrew T. Choi, Jung W. Kim, Jongphil Balagurunathan, Yoganand Jiang, Kun Coppola, Domenico Centeno, Barbara A. Klapman, Jason Hodul, Pam Karreth, Florian A. Trevino, Jose G. Merchant, Nipun Magliocco, Anthony Malafa, Mokenge P. Gillies, Robert Sci Rep Article Pancreatic ductal adenocarcinoma (PDAC) is an aggressive disease that lacks effective biomarkers for early detection. We hypothesized that circulating long non-coding RNAs (lncRNAs) may act as diagnostic markers of incidentally-detected cystic PDAC precursors known as intraductal papillary mucinous neoplasms (IPMNs) and predictors of their pathology/histological classification. Using NanoString nCounter® technology, we measured the abundance of 28 candidate lncRNAs in pre-operative plasma from a cohort of pathologically-confirmed IPMN cases of various grades of severity and non-diseased controls. Results showed that two lncRNAs (GAS5 and SRA) aided in differentiating IPMNs from controls. An 8-lncRNA signature (including ADARB2-AS1, ANRIL, GLIS3-AS1, LINC00472, MEG3, PANDA, PVT1, and UCA1) had greater accuracy than standard clinical and radiologic features in distinguishing ‘aggressive/malignant’ IPMNs that warrant surgical removal from ‘indolent/benign’ IPMNs that can be observed. When the 8-lncRNA signature was combined with plasma miRNA data and quantitative ‘radiomic’ imaging features, the accuracy of predicting IPMN pathological classification improved. Our findings provide novel information on the ability to detect lncRNAs in plasma from patients with IPMNs and suggest that an lncRNA-based blood test may have utility as a diagnostic adjunct for identifying IPMNs and their pathology, especially when incorporated with biomarkers such as miRNAs, quantitative imaging features, and clinical data. Nature Publishing Group UK 2017-09-05 /pmc/articles/PMC5585319/ /pubmed/28874676 http://dx.doi.org/10.1038/s41598-017-09754-5 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Permuth, Jennifer B.
Chen, Dung-Tsa
Yoder, Sean J.
Li, Jiannong
Smith, Andrew T.
Choi, Jung W.
Kim, Jongphil
Balagurunathan, Yoganand
Jiang, Kun
Coppola, Domenico
Centeno, Barbara A.
Klapman, Jason
Hodul, Pam
Karreth, Florian A.
Trevino, Jose G.
Merchant, Nipun
Magliocco, Anthony
Malafa, Mokenge P.
Gillies, Robert
Linc-ing Circulating Long Non-coding RNAs to the Diagnosis and Malignant Prediction of Intraductal Papillary Mucinous Neoplasms of the Pancreas
title Linc-ing Circulating Long Non-coding RNAs to the Diagnosis and Malignant Prediction of Intraductal Papillary Mucinous Neoplasms of the Pancreas
title_full Linc-ing Circulating Long Non-coding RNAs to the Diagnosis and Malignant Prediction of Intraductal Papillary Mucinous Neoplasms of the Pancreas
title_fullStr Linc-ing Circulating Long Non-coding RNAs to the Diagnosis and Malignant Prediction of Intraductal Papillary Mucinous Neoplasms of the Pancreas
title_full_unstemmed Linc-ing Circulating Long Non-coding RNAs to the Diagnosis and Malignant Prediction of Intraductal Papillary Mucinous Neoplasms of the Pancreas
title_short Linc-ing Circulating Long Non-coding RNAs to the Diagnosis and Malignant Prediction of Intraductal Papillary Mucinous Neoplasms of the Pancreas
title_sort linc-ing circulating long non-coding rnas to the diagnosis and malignant prediction of intraductal papillary mucinous neoplasms of the pancreas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5585319/
https://www.ncbi.nlm.nih.gov/pubmed/28874676
http://dx.doi.org/10.1038/s41598-017-09754-5
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