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A Nomogram to Preoperatively Predict 1-year Disease-Specific Survival in Resected Pancreatic Cancer Following Neoadjuvant Chemoradiation Therapy

Authors
 Ho Kyoung Hwang  ;  Keita Wada  ;  Ha Yan Kim  ;  Yuichi Nagakawa  ;  Yosuke Hijikata  ;  Yota Kawasaki  ;  Yoshiharu Nakamura  ;  Lip Seng Lee  ;  Dong Sup Yoon  ;  Woo Jung Lee  ;  Chang Moo Kang 
Citation
 CHINESE JOURNAL OF CANCER RESEARCH, Vol.32(1) : 105-114, 2020-02 
Journal Title
 CHINESE JOURNAL OF CANCER RESEARCH 
ISSN
 1000-9604 
Issue Date
2020-02
Keywords
Pancreatic cancer ; neoadjuvant treatment ; nomogram ; pancreatectomy ; survival
Abstract
Objective: This study aimed to develop a nomogram to predict the 1-year survival of patients with pancreatic cancer who underwent pancreatectomy following neoadjuvant treatment with preoperatively detectable clinical parameters. Extended pancreatectomy is necessary to achieve complete tumor removal in borderline resectable and locally advanced pancreatic cancer. However, it increases postoperative morbidity and mortality rates, and should be balanced with potential benefit of long-term survival. Methods: The medical records of patients who underwent pancreatectomy following neoadjuvant treatment from January 2005 to December 2016 at Severance Hospital were retrospectively reviewed. Medical records were collected from five international institutions from Japan and Singapore for external validation. Results: A total of 113 patients were enrolled. The nomogram for predicting 1-year disease-specific survival was created based on 5 clinically detectable preoperative parameters as follows: age (year), symptom (no/yes), tumor size at initial diagnostic stage (cm), preoperative serum carbohydrate antigen (CA) 19-9 level after neoadjuvant treatment (<34/≥34 U/mL), and planned surgery [pancreaticoduodenectomy (PD) (pylorus-preserving PD)/distal pancreatectomy (DP)/total pancreatectomy]. Model performance was assessed for discrimination and calibration. The calibration plot showed good agreement between actual and predicted survival probabilities; the the Greenwood-Nam-D'Agostino (GND) goodness-of-fit test showed that the model was well calibrated (χ2=8.24, P=0.5099). A total of 84 patients were used for external validation. When correlating actual disease-specific survival and calculated 1-year disease-specific survival, there were significance differences according to the calculated probability of 1-year survival among the three groups (P=0.044). Conclusions: The developed nomogram had quite acceptable accuracy and clinical feasibility in the decision-making process for the management of pancreatic cancer.
Files in This Item:
T202000958.pdf Download
DOI
10.21147/j.issn.1000-9604.2020.01.12
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
Yonsei Authors
Kang, Chang Moo(강창무) ORCID logo https://orcid.org/0000-0002-5382-4658
Kim, Ha Yan(김하얀)
Yoon, Dong Sup(윤동섭) ORCID logo https://orcid.org/0000-0001-6444-9606
Lee, Woo Jung(이우정) ORCID logo https://orcid.org/0000-0001-9273-261X
Hwang, Ho Kyoung(황호경) ORCID logo https://orcid.org/0000-0003-4064-7776
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/175963
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