Prediction of Progression-Free Survival in Patients With Advanced, Well-Differentiated, Neuroendocrine Tumors Being Treated With a Somatostatin Analog: The GETNE-TRASGU Study

Author:

Carmona-Bayonas Alberto1,Jiménez-Fonseca Paula2,Lamarca Ángela3,Barriuso Jorge34,Castaño Ángel5,Benavent Marta6,Alonso Vicente7,Riesco-Martínez María del Carmen8,Alonso-Gordoa Teresa9,Custodio Ana10,Sánchez Cánovas Manuel1,Hernando Cubero Jorge11,López Carlos12,Lacasta Adelaida13,Fernández Montes Ana14,Marazuela Mónica15,Crespo Guillermo16,Escudero Pilar17,Diaz José Ángel18,Feliciangeli Eduardo19,Gallego Javier20,Llanos Marta21,Segura Ángel22,Vilardell Felip23,Percovich Juan Carlos24,Grande Enrique25,Capdevila Jaume11,Valle Juan W.34,García-Carbonero Rocío26

Affiliation:

1. Hospital Universitario Morales Meseguer, Universidad de Murcia, Instituto Murciano de Investigación Biosanitaria, Murcia, Spain

2. Hospital Universitario Central de Asturias, Oviedo, Spain

3. The Christie NHS Foundation Trust, Manchester, United Kingdom

4. University of Manchester, Manchester, United Kingdom

5. Hospital Universitario de Fuenlabrada, Madrid, Spain

6. Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla, Sevilla, Spain

7. Hospital Universitario Miguel Servet, Zaragoza, Spain

8. Hospital Universitario Doce de Octubre, Madrid, Spain

9. Hospital Universitario Ramón y Cajal, Madrid, Spain

10. Hospital Universitario La Paz, Centro de Investigación Biomédica en Red Cáncer, CB16/12/00398, Madrid, Spain

11. Hospital Universitario Vall d’Hebron, Vall Hebron Institute of Oncology, Autonomous University of Barcelona, Barcelona, Spain

12. Hospital Universitario Marqués de Valdecilla, Santander, Spain

13. Hospital Universitario Donostia, San Sebastián, Spain

14. Complexo Hospitalario Universitario de Ourense, Orense, Spain

15. Hospital Universitario de la Princesa, Madrid, Spain

16. Complejo Asistencial Universitario de Burgos, Burgos, Spain

17. Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain

18. Hospital Universitario Clínico San Carlos, Madrid, Spain

19. Hospital Universitario Santa Lucia, Cartagena, Spain

20. Hospital General Universitario de Elche, Elche, Spain

21. Hospital Universitario de Canarias, Universidad de La Laguna, Tenerife, Spain

22. Hospital Universitario La Fe, Valencia, Spain

23. Hospital Universitari Arnau de Vilanova, Lleida, Spain

24. Hospital Universitario Gregorio Marañón, Madrid, Spain

25. MD Anderson Cancer Center Madrid, Madrid, Spain

26. Hospital Universitario Doce de Octubre, Universidad Complutense de Madrid, Centro Nacional de Investigaciones Oncológicas, Centro de Investigación Biomédica en Red Cáncer, Madrid, Spain

Abstract

PURPOSE Somatostatin analogs (SSAs) are recommended for the first-line treatment of most patients with well-differentiated, gastroenteropancreatic (GEP) neuroendocrine tumors; however, benefit from treatment is heterogeneous. The aim of the current study was to develop and validate a progression-free survival (PFS) prediction model in SSA-treated patients. PATIENTS AND METHODS We extracted data from the Spanish Group of Neuroendocrine and Endocrine Tumors Registry (R-GETNE). Patient eligibility criteria included GEP primary, Ki-67 of 20% or less, and first-line SSA monotherapy for advanced disease. An accelerated failure time model was developed to predict PFS, which was represented as a nomogram and an online calculator. The nomogram was externally validated in an independent series of consecutive eligible patients (The Christie NHS Foundation Trust, Manchester, United Kingdom). RESULTS We recruited 535 patients (R-GETNE, n = 438; Manchester, n = 97). Median PFS and overall survival in the derivation cohort were 28.7 (95% CI, 23.8 to 31.1) and 85.9 months (95% CI, 71.5 to 96.7 months), respectively. Nine covariates significantly associated with PFS were primary tumor location, Ki-67 percentage, neutrophil-to-lymphocyte ratio, alkaline phosphatase, extent of liver involvement, presence of bone and peritoneal metastases, documented progression status, and the presence of symptoms when initiating SSA. The GETNE-TRASGU (Treated With Analog of Somatostatin in Gastroenteropancreatic and Unknown Primary NETs) model demonstrated suitable calibration, as well as fair discrimination ability with a C-index value of 0.714 (95% CI, 0.680 to 0.747) and 0.732 (95% CI, 0.658 to 0.806) in the derivation and validation series, respectively. CONCLUSION The GETNE-TRASGU evidence-based prognostic tool stratifies patients with GEP neuroendocrine tumors receiving SSA treatment according to their estimated PFS. This nomogram may be useful when stratifying patients with neuroendocrine tumors in future trials. Furthermore, it could be a valuable tool for making treatment decisions in daily clinical practice.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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