Gut Liver.
2021 Nov;15(6):912-921. 10.5009/gnl20306.
Development and External Validation of Survival Prediction Model for Pancreatic Cancer Using Two Nationwide Databases: Surveillance, Epidemiology and End Results (SEER) and Korea Tumor Registry System-Biliary Pancreas (KOTUS-BP)
- Kang JS
1 - Mok L2
- Heo JS3
- Han IW3
- Shin SH3
- Yoon YS4
- Han HS4
- Hwang DW5
- Lee JH5
- Lee WJ6
- Park SJ7
- Park JS8
- Kim Y9
- Lee H10
- Yu YD11
- Yang JD12
- Lee SE13
- Park IY14
- Jeong CY15
- Roh Y16
- Kim SR17
- Moon JI18
- Lee SK19
- Kim HJ20
- Lee S21
- Kim H22
- Kwon W22
- Lim CS1
- Jang JY22
- Park T2
- Affiliations
-
- 1Department of Surgery, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea.
- 2Department of Statistics and Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea.
- 3Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
- 4Department of Surgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seoul, Korea.
- 5Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
- 6Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.
- 7Center for Liver and Pancreatobiliary Cancer, National Cancer Center, Goyang, Korea.
- 8Pancreatobiliary Cancer Clinic, Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
- 9Department of Surgery, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea.
- 10Department of Surgery, Ewha Womans University Mokdong Hospital, Ewha Womans University School of Medicine, Seoul, Korea.
- 11Division of HBP Surgery and Liver Transplantation, Department of Surgery, Korea University College of Medicine, Seoul, Korea.
- 12Department of Surgery, Jeonbuk National University Medical School, Jeonju, Korea.
- 13Department of Surgery, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea.
- 14Department of General Surgery, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon, Korea.
- 15Department of Surgery, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, Korea.
- 16Department of Surgery, Dong-A University College of Medicine, Busan, Korea.
- 17Department of Surgery, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea.
- 18Department of Surgery, Konyang University Hospital, Daejeon, Korea.
- 19Department of Surgery, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Korea.
- 20Department of Surgery, Chonnam National University Hospital, Gwangju, Korea.
- 21Department of Mathematics and Statistics, Sejong University, Seoul, Korea.
- 22Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
- KMID: 2522353
- DOI: http://doi.org/10.5009/gnl20306
Abstract
- Background/Aims
Several prediction models for evaluating the prognosis of nonmetastatic resected pancreatic ductal adenocarcinoma (PDAC) have been developed, and their performances were reported to be superior to that of the 8th edition of the American Joint Committee on Cancer (AJCC) staging system. We developed a prediction model to evaluate the prognosis of resected PDAC and externally validated it with data from a nationwide Korean database.
Methods
Data from the Surveillance, Epidemiology and End Results (SEER) database were utilized for model development, and data from the Korea Tumor Registry System-Biliary Pancreas (KOTUS-BP) database were used for external validation. Potential candidate variables for model development were age, sex, histologic differentiation, tumor location, adjuvant chemotherapy, and the AJCC 8th staging system T and N stages. For external validation, the concordance index (C-index) and time-dependent area under the receiver operating characteristic curve (AUC) were evaluated.
Results
Between 2004 and 2016, data from 9,624 patients were utilized for model development, and data from 3,282 patients were used for external validation. In the multivariate Cox proportional hazard model, age, sex, tumor location, T and N stages, histologic differentiation, and adjuvant chemotherapy were independent prognostic factors for resected PDAC. After an exhaustive search and 10-fold cross validation, the best model was finally developed, which included all prognostic variables. The C-index, 1-year, 2-year, 3-year, and 5-year time-dependent AUCs were 0.628, 0.650, 0.665, 0.675, and 0.686, respectively.
Conclusions
The survival prediction model for resected PDAC could provide quantitative survival probabilities with reliable performance. External validation studies with other nationwide databases are needed to evaluate the performance of this model.
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