Cai Boyong, Zheng Mengli, Li Yimin, Chen Zhicao, Zhong Canxin, Chen Xiaochun, Chen Guiquan
Department of Gastroenterology, The Tenth Affiliated Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, China.
Department of Gastroenterology, The Tenth Affiliated Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, China
BMJ Open. 2024 Dec 20;14(12):e083942. doi: 10.1136/bmjopen-2024-083942.
OBJECTIVES: This study investigated the prognostic role of log odds of negative lymph node/T stage (LONT) and established a nomogram based on LONT to predict the prognosis in colorectal cancer (CRC) patients. DESIGN: A retrospective cohort study. SETTING AND PARTICIPANTS: We enrolled 80 518 CRC patients from the Surveillance, Epidemiology and End Results database between 2010 and 2015. The dataset was split into a training cohort (56 364 patients) and a validation cohort (24 154 patients) at a ratio of 7:3. Furthermore, 500 CRC patients who underwent surgery in the Tenth Affiliated Hospital of Southern Medical University between 1 January 2017 and 20 December 2018, were recruited as the external validation set. OUTCOME MEASURES: 1-, 3- and 5-year cancer-specific survival (CSS). METHODS: The univariate and multivariate Cox regression analyses were carried out to identify the significant independent prognostic factors of CSS. A nomogram was established based on LONT to predict the prognosis. The performance of the nomogram was comprehensively assessed via the time-dependent receiver operating characteristic curve, concordance index (C-index), calibration curve and decision curve analysis (DCA) comprehensively. Moreover, Kaplan-Meier curves were performed to assess the CSS of the three risk subgroups. RESULT: LONT was a significant independent prognostic factor for CSS (LONT1 vs LONT2, HR=0.670, 95% CI 0.642 to 0.698, p<0.001; LONT1 vs LONT3, HR=0.443, 95% CI 0.420 to 0.467, p<0.001). LONT, age, sex, race, subsite, differentiation, histology, tumour size, T stage, N stage, M stage and chemotherapy were included in the nomogram. The 1-, 3- and 5-year survival area under the curve were 0.856, 0.862 and 0.852, respectively. The C-index of the model was 0.809 (95% CI 0.825 to 0.839) in the model. The calibration curve and DCA verified the favourable predictive performance and clinical application of the nomogram. CONCLUSION: CRC patients with a high LONT had a low incidence of CSS. The nomogram based on LONT could effectively predict the CSS of CRC.
J Cancer Res Clin Oncol. 2021-8
Proc Natl Acad Sci U S A. 2024-8-20
World J Surg Oncol. 2024-7-19
Cancer Epidemiol Biomarkers Prev. 2023-6-1
Cancer Biol Med. 2022-8-30