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Predicting 10-year survival after resection of colorectal liver metastases; an international study including biomarkers and perioperative treatment.
Buisman, Florian E; Giardiello, Daniele; Kemeny, Nancy E; Steyerberg, Ewout W; Höppener, Diederik J; Galjart, Boris; Nierop, Pieter M H; Balachandran, Vinod P; Cercek, Andrea; Drebin, Jeffrey A; Gönen, Mithat; Jarnagin, William R; Kingham, T P; Vermeulen, Peter B; Wei, Alice C; Grünhagen, Dirk J; Verhoef, Cornelis; D'Angelica, Micheal I; Koerkamp, Bas Groot.
Afiliación
  • Buisman FE; Department of Surgery, Erasmus MC Cancer Institute, Erasmus University, Rotterdam, the Netherlands.
  • Giardiello D; Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, the Netherlands; Department of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Kemeny NE; Department Medical Oncology, Memorial Sloan Kettering Cancer Centre, New York, USA.
  • Steyerberg EW; Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, the Netherlands; Department of Public Health, Erasmus MC, PO Box 20400, 3000 CA Rotterdam, the Netherlands.
  • Höppener DJ; Department of Surgery, Erasmus MC Cancer Institute, Erasmus University, Rotterdam, the Netherlands.
  • Galjart B; Department of Surgery, Erasmus MC Cancer Institute, Erasmus University, Rotterdam, the Netherlands.
  • Nierop PMH; Department of Surgery, Erasmus MC Cancer Institute, Erasmus University, Rotterdam, the Netherlands.
  • Balachandran VP; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, USA.
  • Cercek A; Department Medical Oncology, Memorial Sloan Kettering Cancer Centre, New York, USA.
  • Drebin JA; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, USA.
  • Gönen M; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, USA.
  • Jarnagin WR; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, USA.
  • Kingham TP; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, USA.
  • Vermeulen PB; Translational Cancer Research Unit (GZA Hospitals and University of Antwerp), Antwerp, Belgium.
  • Wei AC; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, USA.
  • Grünhagen DJ; Department of Surgery, Erasmus MC Cancer Institute, Erasmus University, Rotterdam, the Netherlands.
  • Verhoef C; Department of Surgery, Erasmus MC Cancer Institute, Erasmus University, Rotterdam, the Netherlands.
  • D'Angelica MI; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, USA.
  • Koerkamp BG; Department of Surgery, Erasmus MC Cancer Institute, Erasmus University, Rotterdam, the Netherlands. Electronic address: b.grootkoerkamp@erasmusmc.nl.
Eur J Cancer ; 168: 25-33, 2022 06.
Article en En | MEDLINE | ID: mdl-35430383
BACKGROUND: The aim of this study was to develop a prediction model for 10-year overall survival (OS) after resection of colorectal liver metastasis (CRLM) based on patient, tumour and treatment characteristics. METHODS: Consecutive patients after complete resection of CRLM were included from two centres (1992-2019). A prediction model providing 10-year OS probabilities was developed using Cox regression analysis, including KRAS, BRAF and histopathological growth patterns. Discrimination and calibration were assessed using cross-validation. A web-based calculator was built to predict individual 10-year OS probabilities. RESULTS: A total of 4112 patients were included. The estimated 10-year OS was 30% (95% CI 29-32). Fifteen patient, tumour and treatment characteristics were independent prognostic factors for 10-year OS; age, gender, location and nodal status of the primary tumour, disease-free interval, number and diameter of CRLM, preoperative CEA, resection margin, extrahepatic disease, KRAS and BRAF mutation status, histopathological growth patterns, perioperative systemic chemotherapy and hepatic arterial infusion pump chemotherapy. The discrimination at 10-years was 0.73 for both centres. A simplified risk score identified four risk groups with a 10-year OS of 57%, 38%, 24%, and 12%. CONCLUSIONS: Ten-year OS after resection of CRLM is best predicted with a model including 15 patient, tumour, and treatment characteristics. The web-based calculator can be used to inform patients. This model serves as a benchmark to determine the prognostic value of novel biomarkers.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Neoplasias Hepáticas Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur J Cancer Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Neoplasias Hepáticas Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur J Cancer Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido