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Developing a preoperative serum metabolome-based recurrence-predicting nomogram for patients with resected pancreatic ductal adenocarcinoma

We investigated the potential application of preoperative serum metabolomes in predicting recurrence in patients with resected pancreatic cancer. From November 2012 to June 2014, patients who underwent potentially curative pancreatectomy for pancreatic ductal adenocarcinoma were examined. Among 57 p...

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Autores principales: Rho, Seoung Yoon, Lee, Sang-Guk, Park, Minsu, Lee, Jinae, Lee, Sung Hwan, Hwang, Ho Kyoung, Lee, Min Jung, Paik, Young-Ki, Lee, Woo Jung, Kang, Chang Moo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901525/
https://www.ncbi.nlm.nih.gov/pubmed/31819109
http://dx.doi.org/10.1038/s41598-019-55016-x
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author Rho, Seoung Yoon
Lee, Sang-Guk
Park, Minsu
Lee, Jinae
Lee, Sung Hwan
Hwang, Ho Kyoung
Lee, Min Jung
Paik, Young-Ki
Lee, Woo Jung
Kang, Chang Moo
author_facet Rho, Seoung Yoon
Lee, Sang-Guk
Park, Minsu
Lee, Jinae
Lee, Sung Hwan
Hwang, Ho Kyoung
Lee, Min Jung
Paik, Young-Ki
Lee, Woo Jung
Kang, Chang Moo
author_sort Rho, Seoung Yoon
collection PubMed
description We investigated the potential application of preoperative serum metabolomes in predicting recurrence in patients with resected pancreatic cancer. From November 2012 to June 2014, patients who underwent potentially curative pancreatectomy for pancreatic ductal adenocarcinoma were examined. Among 57 patients, 32 were men; 42 had pancreatic head cancers. The 57 patients could be clearly categorized into two main clusters using 178 preoperative serum metabolomes. Patients within cluster 2 showed earlier tumor recurrence, compared with those within cluster 1 (p = 0.034). A nomogram was developed for predicting the probability of early disease-free survival in patients with resected pancreatic cancer. Preoperative cancer antigen (CA) 19–9 levels and serum metabolomes PC.aa.C38_4, PC.ae.C42_5, and PC.ae.C38_6 were the most powerful preoperative clinical variables with which to predict 6-month and 1-year cancer recurrence-free survival after radical pancreatectomy, with a Harrell’s concordance index of 0.823 (95% CI: 0.750–0.891) and integrated area under the curve of 0.816 (95% CI: 0.736–0.893). Patients with resected pancreatic cancer could be categorized according to their different metabolomes to predict early cancer recurrence. Preoperative detectable parameters, serum CA 19–9, PC.aa.C38_4, PC.ae.C42_5, and PC.ae.C38_6 were the most powerful predictors of early recurrence of pancreatic cancer.
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spelling pubmed-69015252019-12-12 Developing a preoperative serum metabolome-based recurrence-predicting nomogram for patients with resected pancreatic ductal adenocarcinoma Rho, Seoung Yoon Lee, Sang-Guk Park, Minsu Lee, Jinae Lee, Sung Hwan Hwang, Ho Kyoung Lee, Min Jung Paik, Young-Ki Lee, Woo Jung Kang, Chang Moo Sci Rep Article We investigated the potential application of preoperative serum metabolomes in predicting recurrence in patients with resected pancreatic cancer. From November 2012 to June 2014, patients who underwent potentially curative pancreatectomy for pancreatic ductal adenocarcinoma were examined. Among 57 patients, 32 were men; 42 had pancreatic head cancers. The 57 patients could be clearly categorized into two main clusters using 178 preoperative serum metabolomes. Patients within cluster 2 showed earlier tumor recurrence, compared with those within cluster 1 (p = 0.034). A nomogram was developed for predicting the probability of early disease-free survival in patients with resected pancreatic cancer. Preoperative cancer antigen (CA) 19–9 levels and serum metabolomes PC.aa.C38_4, PC.ae.C42_5, and PC.ae.C38_6 were the most powerful preoperative clinical variables with which to predict 6-month and 1-year cancer recurrence-free survival after radical pancreatectomy, with a Harrell’s concordance index of 0.823 (95% CI: 0.750–0.891) and integrated area under the curve of 0.816 (95% CI: 0.736–0.893). Patients with resected pancreatic cancer could be categorized according to their different metabolomes to predict early cancer recurrence. Preoperative detectable parameters, serum CA 19–9, PC.aa.C38_4, PC.ae.C42_5, and PC.ae.C38_6 were the most powerful predictors of early recurrence of pancreatic cancer. Nature Publishing Group UK 2019-12-09 /pmc/articles/PMC6901525/ /pubmed/31819109 http://dx.doi.org/10.1038/s41598-019-55016-x Text en © The Author(s) 2019 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
Rho, Seoung Yoon
Lee, Sang-Guk
Park, Minsu
Lee, Jinae
Lee, Sung Hwan
Hwang, Ho Kyoung
Lee, Min Jung
Paik, Young-Ki
Lee, Woo Jung
Kang, Chang Moo
Developing a preoperative serum metabolome-based recurrence-predicting nomogram for patients with resected pancreatic ductal adenocarcinoma
title Developing a preoperative serum metabolome-based recurrence-predicting nomogram for patients with resected pancreatic ductal adenocarcinoma
title_full Developing a preoperative serum metabolome-based recurrence-predicting nomogram for patients with resected pancreatic ductal adenocarcinoma
title_fullStr Developing a preoperative serum metabolome-based recurrence-predicting nomogram for patients with resected pancreatic ductal adenocarcinoma
title_full_unstemmed Developing a preoperative serum metabolome-based recurrence-predicting nomogram for patients with resected pancreatic ductal adenocarcinoma
title_short Developing a preoperative serum metabolome-based recurrence-predicting nomogram for patients with resected pancreatic ductal adenocarcinoma
title_sort developing a preoperative serum metabolome-based recurrence-predicting nomogram for patients with resected pancreatic ductal adenocarcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901525/
https://www.ncbi.nlm.nih.gov/pubmed/31819109
http://dx.doi.org/10.1038/s41598-019-55016-x
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