Predicting Long-term Disease-free Survival After Resection of Pancreatic Ductal Adenocarcinoma

Author:

van Goor Iris W.J.M.12,Schouten Thijs J.1,Verburg Daphne N.1,Besselink Marc G.34,Bonsing Bert A.5,Bosscha Koop6,Brosens Lodewijk A.A.7,Busch Olivier R.34,Cirkel Geert A.8,van Dam Ronald M.9,Festen Sebastiaan10,Koerkamp Bas Groot11,van der Harst Erwin12,de Hingh Ignace H.J.T.13,Intven Martijn P.W.2,Kazemier Geert414,Los Maartje15,Meijer Gert J.2,de Meijer Vincent E.16,Nieuwenhuijs Vincent B.17,Roos Daphne18,Schreinemakers Jennifer M.J.19,Stommel Martijn W.J.20,Verdonk Robert C.21,van Santvoort Hjalmar C.1,Daamen Lois A.122,Molenaar I. Quintus1,

Affiliation:

1. Department of Surgery, Regional Academic Cancer Center Utrecht, Utrecht University, University Medical Center Utrecht Cancer Center & St. Antonius Hospital Nieuwegein, Utrecht, the Netherlands

2. Department of Radiation Oncology, Regional Academic Cancer Center Utrecht, Utrecht University, University Medical Center Utrecht Cancer Center, Utrecht, the Netherlands

3. Department of Surgery, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands

4. Cancer Center Amsterdam, the Netherlands

5. Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands

6. Department of Surgery, Jeroen Bosch Hospital, Den Bosch, the Netherlands

7. Department of Pathology, Regional Academic Cancer Center Utrecht, Utrecht University, University Medical Center Utrecht Cancer Center & St. Antonius Hospital Nieuwegein, Utrecht, the Netherlands

8. Department of Medical Oncology, Regional Academic Cancer Center Utrecht, Utrecht University, University Medical Center Utrecht Cancer Center & Meander Medical Center Amersfoort, Utrecht, the Netherlands

9. Department of Surgery, Maastricht UMC+, Maastricht, the Netherlands

10. Department of Surgery, OLVG, Amsterdam, the Netherlands

11. Department of Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands

12. Department of Surgery, Maasstad Hospital, Rotterdam, the Netherlands

13. Department of Surgery, Catharina Hospital, Eindhoven, the Netherlands

14. Department of Surgery, Amsterdam UMC, location Vrije Universiteit, Amsterdam, the Netherlands

15. Department of Medical Oncology, Regional Academic Cancer Center Utrecht, Utrecht University, University Medical Center Utrecht Cancer Center & St. Antonius Hospital Nieuwegein, Utrecht, the Netherlands

16. Department of Surgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands

17. Department of Surgery, Isala, Zwolle, the Netherlands

18. Department of Surgery, Renier de Graaf Gasthuis, Delft, the Netherlands

19. Department of Surgery, Amphia Hospital, Breda, the Netherlands

20. Department of Surgery, Radboud University Medical Center, Nijmegen, the Netherlands

21. Department of Gastroenterology, Regional Academic Cancer Center Utrecht, Utrecht, the Netherlands

22. Imaging Division, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands

Abstract

Objective: To develop a prediction model for long-term (≥5 years) disease-free survival (DFS) after the resection of pancreatic ductal adenocarcinoma (PDAC). Background: Despite high recurrence rates, ~10% of patients have long-term DFS after PDAC resection. A model to predict long-term DFS may aid individualized prognostication and shared decision-making. Methods: This nationwide cohort study included all consecutive patients who underwent PDAC resection in the Netherlands (2014–2016). The best-performing prognostic model was selected by Cox-proportional hazard analysis and Akaike’s Information Criterion, presented by hazard ratios (HRs) with 95% confidence intervals (CIs). Internal validation was performed, and discrimination and calibration indices were assessed. Results: In all, 836 patients with a median follow-up of 67 months (interquartile range 51–79) were analyzed. Long-term DFS was seen in 118 patients (14%). Factors predictive of long-term DFS were low preoperative carbohydrate antigen 19-9 (logarithmic; HR 1.21; 95% CI 1.10–1.32), no vascular resection (HR 1.33; 95% CI 1.12–1.58), T1 or T2 tumor stage (HR 1.52; 95% CI 1.14–2.04, and HR 1.17; 95% CI 0.98–1.39, respectively), well/moderate tumor differentiation (HR 1.44; 95% CI 1.22–1.68), absence of perineural and lymphovascular invasion (HR 1.42; 95% CI 1.11–1.81 and HR 1.14; 95% CI 0.96–1.36, respectively), N0 or N1 nodal status (HR 1.92; 95% CI 1.54–2.40, and HR 1.33; 95% CI 1.11–1.60, respectively), R0 resection margin status (HR 1.25; 95% CI 1.07–1.46), no major complications (HR 1.14; 95% CI 0.97–1.35) and adjuvant chemotherapy (HR 1.74; 95% CI 1.47–2.06). Moderate performance (concordance index 0.68) with adequate calibration (slope 0.99) was achieved. Conclusions: The developed prediction model, readily available at www.pancreascalculator.com, can be used to estimate the probability of long-term DFS after resection of pancreatic ductal adenocarcinoma.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Surgery

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3