학술논문
Personalizing Survival Predictions in Advanced Colorectal Cancer: The ARCAD Nomogram Project
Document Type
article
Author
Sjoquist, Katrin M; Renfro, Lindsay A; Simes, R John; Tebbutt, Niall C; Clarke, Stephen; Seymour, Matthew T; Adams, Richard; Maughan, Timothy S; Saltz, Leonard; Goldberg, Richard M; Schmoll, Hans-Joachim; Van Cutsem, Eric; Douillard, Jean-Yves; Hoff, Paulo M; Hecht, Joel Randolph; Tournigand, Christophe; Punt, Cornelis JA; Koopman, Miriam; Hurwitz, Herbert; Heinemann, Volker; Falcone, Alfredo; Porschen, Rainer; Fuchs, Charles; Diaz-Rubio, Eduardo; Aranda, Enrique; Bokemeyer, Carsten; Souglakos, Ioannis; Kabbinavar, Fairooz F; Chibaudel, Benoist; Meyers, Jeffrey P; Sargent, Daniel J; de Gramont, Aimery; Zalcberg, John R
Source
Journal of the National Cancer Institute. 110(6)
Subject
Language
Abstract
BackgroundEstimating prognosis on the basis of clinicopathologic factors can inform clinical practice and improve risk stratification for clinical trials. We constructed prognostic nomograms for one-year overall survival and six-month progression-free survival in metastatic colorectal carcinoma by using the ARCAD database.MethodsData from 22 674 patients in 26 randomized phase III clinical trials since 1997 were used to construct and validate Cox models, stratified by treatment arm within each study. Candidate variables included baseline age, sex, body mass index, performance status, colon vs rectal cancer, prior chemotherapy, number and location of metastatic sites, tumor mutation status (BRAF, KRAS), bilirubin, albumin, white blood cell count, hemoglobin, platelets, absolute neutrophil count, and derived neutrophil-to-lymphocyte ratio. Missing data (50% vs 50% vs