Characteristics of Patients and Prognostic Factors Across Treatment Lines in Metastatic Colorectal Cancer: An Analysis From the Aide et Recherche en Cancérologie Digestive Database
Abstract
PURPOSE Several lines of treatment can be used sequentially in patients with metastatic colorectal cancer. We investigated the evolution of patient/tumor characteristics and their prognostic impact across treatment lines to develop an overall prognostic score (OPS). PATIENTS AND METHODS Individual patient data from 48 randomized trials were analyzed. The end point was overall survival (from random assignment to death). Missing data were imputed. The complete data set was then separated into construction (80%) and validation sets (20%). The Cox's model was used to define risk groups for survival using the OPS. The discrimination capability was assessed in each treatment-line via bootstrapping to obtain optimism-corrected calibration and discrimination C-indices. Internal validation was done in the validation set. RESULTS A total of 37,560 patients (26,974 in first-line [1L], 7,693 in second-line [2L], and 2,893 in third-line [3L]) were analyzed. Some clinical, biological, and molecular characteristics of patients/tumors included in therapeutic trials evolve over the lines. Seven independent prognostic variables were retained in the final multivariate model common to all lines: Eastern Cooperative Oncology Group performance status, hemoglobin, platelet count, WBC/absolute neutrophil count ratio, lactate dehydrogenase, alkaline phosphatase, and the number of metastatic sites. The OPS was used to define four patient subgroups with significantly different prognoses in 1L, 2L, and 3L, separately, with adequate C-indices: 0.65, 0.66, and 0.69 in the construction set and 0.65, 0.66, and 0.68 in the validation set, respectively. The OPS was not predictive, with 3L drugs ( v placebo) or subsequent line (2L/1L or 3L/2L) extending survival in all prognostic groups. CONCLUSION The same prognostic model using practical variables can be used before all treatment lines. The OPS could better stratify patients in future clinical trials and help to therapeutic decision in routine practice.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (21)
Jean-Baptiste Bachet
Aimery De Gramont
Institut Hospitalier Franco-Britannique, Levallois-Perret, France
Morteza Raeisi
Statistical Unit, ARCAD Foundation, Paris, France
Manel Rakez
Statistical Unit, ARCAD Foundation, Paris, France
Richard M. Goldberg
Department of Hematology and Oncology, West Virginia University Cancer Institute, Morgantown
Niall C. Tebbutt
Eric Van Cutsem
University Hospitals Gasthuisberg, Leuven, Belgium
Daniel G. Haller
Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
J. Randolph Hecht
UCLA Jonsson Comprehensive Cancer Center, Santa Monica, CA
Robert J. Mayer
School of Natural Sciences Department Chemie Technical University of Munich 85748 Garching Germany
Stuart M. Lichtman
Wilmot Cancer Institute Geriatric Oncology Research Group, University of Rochester, Rochester, NY
Al B. Benson
Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL
Alberto F. Sobrero
IRCCS Azienda Ospedaliera Metropolitana - Ospedale Policlinico San Martino, Genova, Italy
Josep Tabernero
Vall d’Hebron Hospital Campus, Barcelona
Richard Adams
John R. Zalcberg
Monash University School of Public Health and Preventive Medicine and Department of Medical Oncology, Alfred Health, Melbourne, VIC, Australia
Axel Grothey
Takayuki Yoshino
National Cancer Center Hospital East, Kashiwa, Japan
Thierry André
Qian Shi
Benoist Chibaudel
Department of Medical Oncology, Franco-British Hospital, Fondation Cognacq-Jay, Cancérologie Paris Ouest, Levallois-Perret, France