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

Dongjun Dai; Yanmei Wang; Xinyang Hu; Hongchuan Jin; Xian Wang

doi:10.7717/peerj.8412

PeerJ (Feb 2020)

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

Dongjun Dai,
Yanmei Wang,
Xinyang Hu,
Hongchuan Jin,
Xian Wang

Affiliations

Dongjun Dai: Department of Medical Oncology, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Zhejiang University, Hangzhou, Zhejiang, China
Yanmei Wang: Department of Medical Oncology, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Zhejiang University, Hangzhou, Zhejiang, China
Xinyang Hu: Department of Medical Oncology, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Zhejiang University, Hangzhou, Zhejiang, China
Hongchuan Jin: Laboratory of Cancer Biology, Key Lab of Biotherapy, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Zhejiang University, Hangzhou, Zhejiang, China
Xian Wang: Department of Medical Oncology, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Zhejiang University, Hangzhou, Zhejiang, China

DOI: https://doi.org/10.7717/peerj.8412
Journal volume & issue: Vol. 8
p. e8412

Abstract

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Background We aimed to use competing risk model to assess whether very early onset pancreatic cancer (VEOPC ) (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.

Published in PeerJ

ISSN: 2167-8359 (Online)
Publisher: PeerJ Inc.
Country of publisher: United States
LCC subjects: Medicine; Science: Biology (General)
Website: https://peerj.com/

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