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Prognostic analysis of very early onset pancreatic cancer: a population-based analysis

BACKGROUND: We aimed to use competing risk model to assess whether very early onset pancreatic cancer (VEOPC ) (<45 years) had a worse prognosis than older pancreatic cancer (PC) patients, and to build a competing risk nomogram for predicting the risk of death of VEOPC. METHODS: We selected pancr...

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Autores principales: Dai, Dongjun, Wang, Yanmei, Hu, Xinyang, Jin, Hongchuan, Wang, Xian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017800/
https://www.ncbi.nlm.nih.gov/pubmed/32095324
http://dx.doi.org/10.7717/peerj.8412
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author Dai, Dongjun
Wang, Yanmei
Hu, Xinyang
Jin, Hongchuan
Wang, Xian
author_facet Dai, Dongjun
Wang, Yanmei
Hu, Xinyang
Jin, Hongchuan
Wang, Xian
author_sort Dai, Dongjun
collection PubMed
description BACKGROUND: We aimed to use competing risk model to assess whether very early onset pancreatic cancer (VEOPC ) (<45 years) had a worse prognosis than older pancreatic cancer (PC) patients, and to build a competing risk nomogram for predicting the risk of death of VEOPC. METHODS: We selected pancreatic adenocarcinoma (PDAC) patients as our cohort from the Surveillance, Epidemiology, and End Results (SEER) database. The impact of cancer specific death was estimated by competing risk analysis. Multivariate Fine-Gray regression for proportional hazards modeling of the subdistribution hazard (SH) model based nomogram was constructed, which was internally validated by discrimination and calibration with 1,000 bootstraps. RESULTS: Our cohort included 1,386 VEOPC patients and 53,940 older patients. We observed that in unresectablePDAC patients, VEOPC had better cancer specific survival (CSS) than each older group (45–59 years, 60–69 years, 70–79 years and >79 years). There was no significant prognostic difference between VEOPC and each older group in resectablePDAC. Our competing nomogram showed well discrimination and calibration by internal validation. CONCLUSION: For unresectable PDAC patients, VEOPC had better CSS than older patients. Our competing risk nomogram might be an easy-to-use tool for the specific death prediction of VEOPC patients with PDAC.
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spelling pubmed-70178002020-02-24 Prognostic analysis of very early onset pancreatic cancer: a population-based analysis Dai, Dongjun Wang, Yanmei Hu, Xinyang Jin, Hongchuan Wang, Xian PeerJ Epidemiology BACKGROUND: We aimed to use competing risk model to assess whether very early onset pancreatic cancer (VEOPC ) (<45 years) had a worse prognosis than older pancreatic cancer (PC) patients, and to build a competing risk nomogram for predicting the risk of death of VEOPC. METHODS: We selected pancreatic adenocarcinoma (PDAC) patients as our cohort from the Surveillance, Epidemiology, and End Results (SEER) database. The impact of cancer specific death was estimated by competing risk analysis. Multivariate Fine-Gray regression for proportional hazards modeling of the subdistribution hazard (SH) model based nomogram was constructed, which was internally validated by discrimination and calibration with 1,000 bootstraps. RESULTS: Our cohort included 1,386 VEOPC patients and 53,940 older patients. We observed that in unresectablePDAC patients, VEOPC had better cancer specific survival (CSS) than each older group (45–59 years, 60–69 years, 70–79 years and >79 years). There was no significant prognostic difference between VEOPC and each older group in resectablePDAC. Our competing nomogram showed well discrimination and calibration by internal validation. CONCLUSION: For unresectable PDAC patients, VEOPC had better CSS than older patients. Our competing risk nomogram might be an easy-to-use tool for the specific death prediction of VEOPC patients with PDAC. PeerJ Inc. 2020-02-10 /pmc/articles/PMC7017800/ /pubmed/32095324 http://dx.doi.org/10.7717/peerj.8412 Text en ©2020 Dai et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Epidemiology
Dai, Dongjun
Wang, Yanmei
Hu, Xinyang
Jin, Hongchuan
Wang, Xian
Prognostic analysis of very early onset pancreatic cancer: a population-based analysis
title Prognostic analysis of very early onset pancreatic cancer: a population-based analysis
title_full Prognostic analysis of very early onset pancreatic cancer: a population-based analysis
title_fullStr Prognostic analysis of very early onset pancreatic cancer: a population-based analysis
title_full_unstemmed Prognostic analysis of very early onset pancreatic cancer: a population-based analysis
title_short Prognostic analysis of very early onset pancreatic cancer: a population-based analysis
title_sort prognostic analysis of very early onset pancreatic cancer: a population-based analysis
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017800/
https://www.ncbi.nlm.nih.gov/pubmed/32095324
http://dx.doi.org/10.7717/peerj.8412
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