Kai Liu1, Cui Wang1, Jiefu Wang1, Yang Zhan1, Xin Yue1, Dalu Kong1. 1. Department of Colorectal Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Abstract
BACKGROUND: The aim of the present study was to construct a nomogram model of high-risk stage III/IV colorectal cancer (CRC). METHODS: Gene mutation and clinical information of 251 CRC patients were downloaded from The Cancer Genome Atlas (TCGA). Targeted next-generation sequencing was performed on 44 patients to screen shared mutation genes with frequency >5% between TCGA and clinical cohorts. Univariable and multivariable logistic regression analyses were used to analyze the mutant genes and clinical indexes, and a high-risk stage III/IV nomogram model was constructed. The nomogram model was further validated in the clinical cohort. RESULTS: SMAD family member 4 (SMAD4), zinc finger homeobox 3 (ZFHX3), and phosphatidylinositol 3,4,5-trisphosphate-dependent Rac exchanger 2 (PREX2) mutations; pathological location; and preoperative carcinoembryonic antigen (CEA) value were screened out to compose a high-risk III/IV nomogram model. The nomogram had good calibration and discriminative ability, with an area under the curve of 0.76 [95% confidence interval (CI): 0.69-0.84]. Hosmer-Leme show test indicated that the model had good goodness of fit (P=0.83). The decision curve revealed this a nomogram model was feasible in clinical practice. In our clinical cohort, the calibration curve did not show good calibration and discrimination. CONCLUSIONS: We established a nomogram model, including the mutation status of SMAD4, ZFHX3, and PREX2; pathological location; and preoperative CEA value, which showed accuracy in the risk prediction of stage III/IV CRC patients. 2020 Journal of Gastrointestinal Oncology. All rights reserved.
BACKGROUND: The aim of the present study was to construct a nomogram model of high-risk stage III/IV colorectal cancer (CRC). METHODS: Gene mutation and clinical information of 251 CRC patients were downloaded from The Cancer Genome Atlas (TCGA). Targeted next-generation sequencing was performed on 44 patients to screen shared mutation genes with frequency >5% between TCGA and clinical cohorts. Univariable and multivariable logistic regression analyses were used to analyze the mutant genes and clinical indexes, and a high-risk stage III/IV nomogram model was constructed. The nomogram model was further validated in the clinical cohort. RESULTS: SMAD family member 4 (SMAD4), zinc finger homeobox 3 (ZFHX3), and phosphatidylinositol 3,4,5-trisphosphate-dependent Rac exchanger 2 (PREX2) mutations; pathological location; and preoperative carcinoembryonic antigen (CEA) value were screened out to compose a high-risk III/IV nomogram model. The nomogram had good calibration and discriminative ability, with an area under the curve of 0.76 [95% confidence interval (CI): 0.69-0.84]. Hosmer-Leme show test indicated that the model had good goodness of fit (P=0.83). The decision curve revealed this a nomogram model was feasible in clinical practice. In our clinical cohort, the calibration curve did not show good calibration and discrimination. CONCLUSIONS: We established a nomogram model, including the mutation status of SMAD4, ZFHX3, and PREX2; pathological location; and preoperative CEA value, which showed accuracy in the risk prediction of stage III/IV CRC patients. 2020 Journal of Gastrointestinal Oncology. All rights reserved.
Authors: Takashi Mizuno; Jordan M Cloyd; Diego Vicente; Kiyohiko Omichi; Yun Shin Chun; Scott E Kopetz; Dipen Maru; Claudius Conrad; Ching-Wei D Tzeng; Steven H Wei; Thomas A Aloia; Jean-Nicolas Vauthey Journal: Eur J Surg Oncol Date: 2018-03-07 Impact factor: 4.424