Comparison of Four Lymph Node Stage Methods for Predicting the Prognosis of Distal Cholangiocarcinoma Patients After Surgery
BackgroundThe metastatic status of regional lymph nodes is an effective risk factor for the prognosis of distal cholangiocarcinoma (dCCA). But existing lymph node staging is not accurate enough and is susceptible to interference. This study aims to explore the predictive ability of the log odds of p...
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Frontiers Media S.A.
2021-12-01
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Series: | Frontiers in Oncology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2021.779761/full |
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author | Xiuyi Huang Xiaoya Niu Zhen You Youlin Long Fan Luo Hui Ye |
author_facet | Xiuyi Huang Xiaoya Niu Zhen You Youlin Long Fan Luo Hui Ye |
author_sort | Xiuyi Huang |
collection | DOAJ |
description | BackgroundThe metastatic status of regional lymph nodes is an effective risk factor for the prognosis of distal cholangiocarcinoma (dCCA). But existing lymph node staging is not accurate enough and is susceptible to interference. This study aims to explore the predictive ability of the log odds of positive lymph nodes (LODDS) staging system of dCCA compared with existing lymph node staging systems.MethodsA total of 928 dCCA patients were selected from the Surveillance, Epidemiology, and End Results (SEER) database as the training cohort, and 207 dCCA patients from West China Hospital who underwent surgery were reviewed as the validation cohort. The least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression were conducted to identify the most meaningful factors relevant to prognosis. The performance of four lymph node stage systems was compared by a model-based approach.ResultAge at diagnosis, pathological grade, American Joint Committee on Cancer (AJCC) tumor 7th T stage, tumor size, radiotherapy, chemotherapy, and lymph node stage system were independent prognostic factors. The model with the LODDS system had a better model fit with the highest C-index (0.679) and 1-/3-/5- area under the receiver operating characteristic curve (AUC) (0.739/0.671/0.658) as well as the lowest Akaike information criterion (AIC) (5,020.52). External validation results from 207 dCCA patients showed a C-index of 0.647 and 1-/3-/5-AUC of 0.740/0.683/0.589. Compared with the lymph node ratio (LNR), AJCC 8th N system, and 7th N system, the 5-year net reclassification improvement (NRI) of the LODDS system was 0.030 (95% CI: −0.079 to 0.147), 0.042 (95% CI: −0.062 to 0.139), and 0.040 (95% CI: −0.057 to 0.146), respectively. The integrated discrimination improvement (IDI) of LODDS improved compared with the LNR model (0.016; 95% CI: −0.001 to 0.036), AJCC 8th N system (0.020; 95% CI: 0.003–0.037), and AJCC 7th N system (0.019; 95% CI: 0.002–0.036). Decision curve analysis (DCA) also shows a greater net benefit of LODDS. In lymph node-negative patients, LODDS reveals a positive linear relationship with the hazard ratio (HR). The stage capacity of LODDS in a subgroup analysis stratified by examined lymph node number (ELNN) was consistent.ConclusionsThe LODDS lymph node stage system has superior predictive performance as compared with the LNR, AJCC 7th, and 8th lymph node stage systems. Meanwhile, LODDS has a more detailed staging ability and good stability. |
first_indexed | 2024-12-20T16:55:36Z |
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spelling | doaj.art-fde30f60950740209c95fda7acc41ad02022-12-21T19:32:45ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-12-011110.3389/fonc.2021.779761779761Comparison of Four Lymph Node Stage Methods for Predicting the Prognosis of Distal Cholangiocarcinoma Patients After SurgeryXiuyi Huang0Xiaoya Niu1Zhen You2Youlin Long3Fan Luo4Hui Ye5Department of Biliary Surgery, West China Hospital, Sichuan University, Chengdu, ChinaDepartment of Biliary Surgery, West China Hospital, Sichuan University, Chengdu, ChinaDepartment of Biliary Surgery, West China Hospital, Sichuan University, Chengdu, ChinaChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, ChinaDepartment of Biliary Surgery, West China Hospital, Sichuan University, Chengdu, ChinaDepartment of Biliary Surgery, West China Hospital, Sichuan University, Chengdu, ChinaBackgroundThe metastatic status of regional lymph nodes is an effective risk factor for the prognosis of distal cholangiocarcinoma (dCCA). But existing lymph node staging is not accurate enough and is susceptible to interference. This study aims to explore the predictive ability of the log odds of positive lymph nodes (LODDS) staging system of dCCA compared with existing lymph node staging systems.MethodsA total of 928 dCCA patients were selected from the Surveillance, Epidemiology, and End Results (SEER) database as the training cohort, and 207 dCCA patients from West China Hospital who underwent surgery were reviewed as the validation cohort. The least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression were conducted to identify the most meaningful factors relevant to prognosis. The performance of four lymph node stage systems was compared by a model-based approach.ResultAge at diagnosis, pathological grade, American Joint Committee on Cancer (AJCC) tumor 7th T stage, tumor size, radiotherapy, chemotherapy, and lymph node stage system were independent prognostic factors. The model with the LODDS system had a better model fit with the highest C-index (0.679) and 1-/3-/5- area under the receiver operating characteristic curve (AUC) (0.739/0.671/0.658) as well as the lowest Akaike information criterion (AIC) (5,020.52). External validation results from 207 dCCA patients showed a C-index of 0.647 and 1-/3-/5-AUC of 0.740/0.683/0.589. Compared with the lymph node ratio (LNR), AJCC 8th N system, and 7th N system, the 5-year net reclassification improvement (NRI) of the LODDS system was 0.030 (95% CI: −0.079 to 0.147), 0.042 (95% CI: −0.062 to 0.139), and 0.040 (95% CI: −0.057 to 0.146), respectively. The integrated discrimination improvement (IDI) of LODDS improved compared with the LNR model (0.016; 95% CI: −0.001 to 0.036), AJCC 8th N system (0.020; 95% CI: 0.003–0.037), and AJCC 7th N system (0.019; 95% CI: 0.002–0.036). Decision curve analysis (DCA) also shows a greater net benefit of LODDS. In lymph node-negative patients, LODDS reveals a positive linear relationship with the hazard ratio (HR). The stage capacity of LODDS in a subgroup analysis stratified by examined lymph node number (ELNN) was consistent.ConclusionsThe LODDS lymph node stage system has superior predictive performance as compared with the LNR, AJCC 7th, and 8th lymph node stage systems. Meanwhile, LODDS has a more detailed staging ability and good stability.https://www.frontiersin.org/articles/10.3389/fonc.2021.779761/fulldistal cholangiocarcinoma (dCCA)log odds of positive lymph node (LODDS)lymph node stageprognosis abilitymodeling |
spellingShingle | Xiuyi Huang Xiaoya Niu Zhen You Youlin Long Fan Luo Hui Ye Comparison of Four Lymph Node Stage Methods for Predicting the Prognosis of Distal Cholangiocarcinoma Patients After Surgery Frontiers in Oncology distal cholangiocarcinoma (dCCA) log odds of positive lymph node (LODDS) lymph node stage prognosis ability modeling |
title | Comparison of Four Lymph Node Stage Methods for Predicting the Prognosis of Distal Cholangiocarcinoma Patients After Surgery |
title_full | Comparison of Four Lymph Node Stage Methods for Predicting the Prognosis of Distal Cholangiocarcinoma Patients After Surgery |
title_fullStr | Comparison of Four Lymph Node Stage Methods for Predicting the Prognosis of Distal Cholangiocarcinoma Patients After Surgery |
title_full_unstemmed | Comparison of Four Lymph Node Stage Methods for Predicting the Prognosis of Distal Cholangiocarcinoma Patients After Surgery |
title_short | Comparison of Four Lymph Node Stage Methods for Predicting the Prognosis of Distal Cholangiocarcinoma Patients After Surgery |
title_sort | comparison of four lymph node stage methods for predicting the prognosis of distal cholangiocarcinoma patients after surgery |
topic | distal cholangiocarcinoma (dCCA) log odds of positive lymph node (LODDS) lymph node stage prognosis ability modeling |
url | https://www.frontiersin.org/articles/10.3389/fonc.2021.779761/full |
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