Wenhua Liang1, Li Zhang1, Gening Jiang1, Qun Wang1, Lunxu Liu1, Deruo Liu1, Zheng Wang1, Zhihua Zhu1, Qiuhua Deng1, Xinguo Xiong1, Wenlong Shao1, Xiaoshun Shi1, Jianxing He2. 1. Wenhua Liang, Qiuhua Deng, Xinguo Xiong, Wenlong Shao, Xiaoshun Shi, and Jianxing He, The First Affiliated Hospital of Guangzhou Medical University; Wenhua Liang, Qiuhua Deng, Xinguo Xiong, Wenlong Shao, Xiaoshun Shi, and Jianxing He, Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease; Wenhua Liang, Li Zhang, and Zhihua Zhu, Cancer Center of Sun Yat-Sen University, Guangzhou; Gening Jiang, Shanghai Pulmonary Hospital of Tongji University; Qun Wang, Shanghai Zhongshan Hospital of Fudan University, Shanghai; Lunxu Liu, West China Hospital, Sichuan University, Chengdu; Deruo Liu, China and Japan Friendship Hospital, Beijing; and Zheng Wang, Shenzhen People's Hospital, Shenzhen, People's Republic of China. 2. Wenhua Liang, Qiuhua Deng, Xinguo Xiong, Wenlong Shao, Xiaoshun Shi, and Jianxing He, The First Affiliated Hospital of Guangzhou Medical University; Wenhua Liang, Qiuhua Deng, Xinguo Xiong, Wenlong Shao, Xiaoshun Shi, and Jianxing He, Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease; Wenhua Liang, Li Zhang, and Zhihua Zhu, Cancer Center of Sun Yat-Sen University, Guangzhou; Gening Jiang, Shanghai Pulmonary Hospital of Tongji University; Qun Wang, Shanghai Zhongshan Hospital of Fudan University, Shanghai; Lunxu Liu, West China Hospital, Sichuan University, Chengdu; Deruo Liu, China and Japan Friendship Hospital, Beijing; and Zheng Wang, Shenzhen People's Hospital, Shenzhen, People's Republic of China. drjianxing.he@gmail.com.
Abstract
PURPOSE: A nomogram is a useful and convenient tool for individualized cancer prognoses. We sought to develop a clinical nomogram for predicting survival of patients with resected non-small-cell lung cancer (NSCLC). PATIENTS AND METHODS: On the basis of data from a multi-institutional registry of 6,111 patients with resected NSCLC in China, we identified and integrated significant prognostic factors for survival to build a nomogram. The model was subjected to bootstrap internal validation and to external validation with a separate cohort of 2,148 patients from the International Association for the Study of Lung Cancer (IASLC) database. The predictive accuracy and discriminative ability were measured by concordance index (C-index) and risk group stratification. RESULTS: A total of 5,261 patients were included for analysis. Six independent prognostic factors were identified and entered into the nomogram. The calibration curves for probability of 1-, 3-, and 5-year overall survival (OS) showed optimal agreement between nomogram prediction and actual observation. The C-index of the nomogram was higher than that of the seventh edition American Joint Committee on Cancer TNM staging system for predicting OS (primary cohort, 0.71 v 0.68, respectively; P < .01; IASLC cohort, 0.67 v 0.64, respectively; P = .06). The stratification into different risk groups allowed significant distinction between survival curves within respective TNM categories. CONCLUSION: We established and validated a novel nomogram that can provide individual prediction of OS for patients with resected NSCLC. This practical prognostic model may help clinicians in decision making and design of clinical studies.
PURPOSE: A nomogram is a useful and convenient tool for individualized cancer prognoses. We sought to develop a clinical nomogram for predicting survival of patients with resected non-small-cell lung cancer (NSCLC). PATIENTS AND METHODS: On the basis of data from a multi-institutional registry of 6,111 patients with resected NSCLC in China, we identified and integrated significant prognostic factors for survival to build a nomogram. The model was subjected to bootstrap internal validation and to external validation with a separate cohort of 2,148 patients from the International Association for the Study of Lung Cancer (IASLC) database. The predictive accuracy and discriminative ability were measured by concordance index (C-index) and risk group stratification. RESULTS: A total of 5,261 patients were included for analysis. Six independent prognostic factors were identified and entered into the nomogram. The calibration curves for probability of 1-, 3-, and 5-year overall survival (OS) showed optimal agreement between nomogram prediction and actual observation. The C-index of the nomogram was higher than that of the seventh edition American Joint Committee on CancerTNM staging system for predicting OS (primary cohort, 0.71 v 0.68, respectively; P < .01; IASLC cohort, 0.67 v 0.64, respectively; P = .06). The stratification into different risk groups allowed significant distinction between survival curves within respective TNM categories. CONCLUSION: We established and validated a novel nomogram that can provide individual prediction of OS for patients with resected NSCLC. This practical prognostic model may help clinicians in decision making and design of clinical studies.
Authors: Jian Ji Pan; Wai Tong Ng; Jing Feng Zong; Sarah W M Lee; Horace C W Choi; Lucy L K Chan; Shao Jun Lin; Qiao Juan Guo; Henry C K Sze; Yun Bin Chen; You Ping Xiao; Wai Kuen Kan; Brian O'Sullivan; Wei Xu; Quynh Thu Le; Christine M Glastonbury; A Dimitrios Colevas; Randal S Weber; William Lydiatt; Jatin P Shah; Anne W M Lee Journal: Cancer Date: 2016-07-19 Impact factor: 6.860
Authors: Ulas Kumbasar; Hilgardt Raubenheimer; May Al Sahaf; Nizar Asadi; Maria Elena Cufari; Chiara Proli; Periklis Perikleous; Zakiyah Niwaz; Emma Beddow; Vladimir Anikin; Niall McGonigle; Simon Jordan; George Ladas; Michael Dusmet; Eric Lim Journal: J Thorac Dis Date: 2016-01 Impact factor: 2.895
Authors: Michael S Kent; Sumithra J Mandrekar; Rodney Landreneau; Francis Nichols; Nathan R Foster; Thomas A DiPetrillo; Bryan Meyers; Dwight E Heron; David R Jones; Angelina D Tan; Sandra Starnes; Joe B Putnam; Hiran C Fernando Journal: Ann Thorac Surg Date: 2016-04-19 Impact factor: 4.330