Yujie Liu1, Minglei Yang1, Bo Li1, Kehan Xu1, Xin Gao1, Jialin Li1, Haifeng Wei1, Quan Huang2, Wei Xu3, Jianru Xiao4. 1. Department of Orthopedic Oncology, Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai, 200003, China. 2. Department of Orthopedic Oncology, Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai, 200003, China. huangquan0625@163.com. 3. Department of Orthopedic Oncology, Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai, 200003, China. xuweichangzheng@hotmail.com. 4. Department of Orthopedic Oncology, Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai, 200003, China. jegoliu18@126.com.
Abstract
OBJECTIVE: To develop a novel nomogram for predicting survival of patients with spine metastasis from colorectal cancer (SMCRC) based on the clinical characteristics and prognostic factors. METHODS: Included in this study were 93 SMCRC patients who received treatments in our institute between 2006 and 2017, whose clinical data were analyzed retrospectively by univariate and multivariate analysis to identify independent variables that could predict prognosis. A nomogram for survival prediction was established on the basis of preoperative independent factors, and then subjected to bootstrap re-samples for internal validation. The discrimination was measured by concordance index (C-index). We used ROC analysis with the corresponding AUROC to compare the prediction accuracy of Changzheng Nomogram with three existing prognostic systems (Tomita, Tokuhashi and Bauer). RESULTS: The high and median degrees of primary tumor differentiation, primary tumor surgery, carcinoembryonic antigen ≤ 5 ng/ml, no visceral metastases and ECOG-PS (0-2) were favorable prognostic factors for CRC metastases in the spine. These five preoperative independent factors were identified and entered into the nomogram with the C-index of 0.786 (0.739-0.833). The calibration curves for probability of 12- and 24-month overall survival (OS) showed good agreement between the predictive risk and the actual risk, and calibration was assessed. Compared with the previous prognostic systems, Changzheng Nomogram reported in this study showed higher accuracy in predicting OS of patients with SMCRC spinal metastases (p < 0.05). CONCLUSION: By using this novel predictive model, clinicians could more precisely estimate the survival outcome of individual patients by evaluating clinical characteristics and identify subgroups of patients who are in need of a specific individual treatment strategy. These slides can be retrieved under Electronic Supplementary Material.
OBJECTIVE: To develop a novel nomogram for predicting survival of patients with spine metastasis from colorectal cancer (SMCRC) based on the clinical characteristics and prognostic factors. METHODS: Included in this study were 93 SMCRC patients who received treatments in our institute between 2006 and 2017, whose clinical data were analyzed retrospectively by univariate and multivariate analysis to identify independent variables that could predict prognosis. A nomogram for survival prediction was established on the basis of preoperative independent factors, and then subjected to bootstrap re-samples for internal validation. The discrimination was measured by concordance index (C-index). We used ROC analysis with the corresponding AUROC to compare the prediction accuracy of Changzheng Nomogram with three existing prognostic systems (Tomita, Tokuhashi and Bauer). RESULTS: The high and median degrees of primary tumor differentiation, primary tumor surgery, carcinoembryonic antigen ≤ 5 ng/ml, no visceral metastases and ECOG-PS (0-2) were favorable prognostic factors for CRC metastases in the spine. These five preoperative independent factors were identified and entered into the nomogram with the C-index of 0.786 (0.739-0.833). The calibration curves for probability of 12- and 24-month overall survival (OS) showed good agreement between the predictive risk and the actual risk, and calibration was assessed. Compared with the previous prognostic systems, Changzheng Nomogram reported in this study showed higher accuracy in predicting OS of patients with SMCRC spinal metastases (p < 0.05). CONCLUSION: By using this novel predictive model, clinicians could more precisely estimate the survival outcome of individual patients by evaluating clinical characteristics and identify subgroups of patients who are in need of a specific individual treatment strategy. These slides can be retrieved under Electronic Supplementary Material.
Authors: Roy A Patchell; Phillip A Tibbs; William F Regine; Richard Payne; Stephen Saris; Richard J Kryscio; Mohammed Mohiuddin; Byron Young Journal: Lancet Date: 2005 Aug 20-26 Impact factor: 79.321
Authors: Mark L Sundermeyer; Neal J Meropol; Andre Rogatko; Hao Wang; Steven J Cohen Journal: Clin Colorectal Cancer Date: 2005-07 Impact factor: 4.481
Authors: L B Saltz; J V Cox; C Blanke; L S Rosen; L Fehrenbacher; M J Moore; J A Maroun; S P Ackland; P K Locker; N Pirotta; G L Elfring; L L Miller Journal: N Engl J Med Date: 2000-09-28 Impact factor: 91.245
Authors: Luigi Mariani; Rosalba Miceli; Michael W Kattan; Murray F Brennan; Maurizio Colecchia; Marco Fiore; Paolo G Casali; Alessandro Gronchi Journal: Cancer Date: 2005-01-15 Impact factor: 6.860