Value of the log odds of positive lymph nodes for prognostic assessment of colon mucinous adenocarcinoma: Analysis and external validation

Abstract Purpose To evaluate the impact of the log odds of positive lymph nodes (LODDS) on cancer‐specific survival (CSS) in colon mucinous adenocarcinoma (MAC) patients, compared with pN stage and the lymph nodes ratio (LNR). Methods A total of 10,182 colon MAC patients from the Surveillance, Epide...

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Autores principales: Huajun Cai, Tianbao Xu, Zhicheng Zhuang, Yiyi Zhang, Yuan Gao, Xing Liu, Jinfu Zhuang, Yuanfeng Yang, Guoxian Guan
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Publicado: Wiley 2021
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spelling oai:doaj.org-article:a1b7a9b94e1c475184be482f5e0547b22021-12-01T04:49:16ZValue of the log odds of positive lymph nodes for prognostic assessment of colon mucinous adenocarcinoma: Analysis and external validation2045-763410.1002/cam4.4366https://doaj.org/article/a1b7a9b94e1c475184be482f5e0547b22021-12-01T00:00:00Zhttps://doi.org/10.1002/cam4.4366https://doaj.org/toc/2045-7634Abstract Purpose To evaluate the impact of the log odds of positive lymph nodes (LODDS) on cancer‐specific survival (CSS) in colon mucinous adenocarcinoma (MAC) patients, compared with pN stage and the lymph nodes ratio (LNR). Methods A total of 10,182 colon MAC patients from the Surveillance, Epidemiology, and End Results database were divided into the training group. The external validation group included 153 patients from Fujian Medical University Union Hospital. The Cox regression method was used to identify prognostic risk factors. Nomograms were evaluated by Harrell's concordance index (C‐index) and calibration curves. Recursive partitioning analysis (RPA) was used to develop a novel staging system. Results Time‐dependent receiver operating characteristic curves (ROC) to predict CSS showed the areas under the ROC curve of LODDS were always higher than pN stage and LNR. LNR and LODDS classifications can well distinguish the prognosis of patients with the same pN stage. Cox analyses indicated that age, tumor size, pT stage, pN stage, LNR, and LODDS were independent predictors of CSS (p < 0.05). Based on three lymph nodes classifications, we constructed three prognostic nomograms models for CSS. The C‐index of the pN, LNR, and LODDS classification nomograms were 0.746 (95% confidence interval [95% CI]: 0.736–0.756), 0.750 (95% CI: 0.740–0.760), and 0.758 (95% CI: 0.748–0.768), respectively. In external validation, we observed the C‐index of LODDS classification nomograms was 0.787 (95% CI: 0.648–0.926). RPA stage, including four stages, was constructed successfully based on pT stage and LNR or LODDS, respectively. The 3‐, 5‐, and 8‐year areas under the ROC curve of LNR‐RPA stage and LODDS‐RPA stage were superior to tumor‐node‐metastasis stage. Conclusion LODDS to be a better prognostic factor of CSS for colon MAC patients than pN stage and LNR. A nomogram and RPA stage base on LODDS can provide accurate information for personalized cancer treatment.Huajun CaiTianbao XuZhicheng ZhuangYiyi ZhangYuan GaoXing LiuJinfu ZhuangYuanfeng YangGuoxian GuanWileyarticlecolon mucinous adenocarcinomaLODDSnomogramsprognosisRPA stageNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancer Medicine, Vol 10, Iss 23, Pp 8542-8557 (2021)
institution DOAJ
collection DOAJ
language EN
topic colon mucinous adenocarcinoma
LODDS
nomograms
prognosis
RPA stage
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle colon mucinous adenocarcinoma
LODDS
nomograms
prognosis
RPA stage
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Huajun Cai
Tianbao Xu
Zhicheng Zhuang
Yiyi Zhang
Yuan Gao
Xing Liu
Jinfu Zhuang
Yuanfeng Yang
Guoxian Guan
Value of the log odds of positive lymph nodes for prognostic assessment of colon mucinous adenocarcinoma: Analysis and external validation
description Abstract Purpose To evaluate the impact of the log odds of positive lymph nodes (LODDS) on cancer‐specific survival (CSS) in colon mucinous adenocarcinoma (MAC) patients, compared with pN stage and the lymph nodes ratio (LNR). Methods A total of 10,182 colon MAC patients from the Surveillance, Epidemiology, and End Results database were divided into the training group. The external validation group included 153 patients from Fujian Medical University Union Hospital. The Cox regression method was used to identify prognostic risk factors. Nomograms were evaluated by Harrell's concordance index (C‐index) and calibration curves. Recursive partitioning analysis (RPA) was used to develop a novel staging system. Results Time‐dependent receiver operating characteristic curves (ROC) to predict CSS showed the areas under the ROC curve of LODDS were always higher than pN stage and LNR. LNR and LODDS classifications can well distinguish the prognosis of patients with the same pN stage. Cox analyses indicated that age, tumor size, pT stage, pN stage, LNR, and LODDS were independent predictors of CSS (p < 0.05). Based on three lymph nodes classifications, we constructed three prognostic nomograms models for CSS. The C‐index of the pN, LNR, and LODDS classification nomograms were 0.746 (95% confidence interval [95% CI]: 0.736–0.756), 0.750 (95% CI: 0.740–0.760), and 0.758 (95% CI: 0.748–0.768), respectively. In external validation, we observed the C‐index of LODDS classification nomograms was 0.787 (95% CI: 0.648–0.926). RPA stage, including four stages, was constructed successfully based on pT stage and LNR or LODDS, respectively. The 3‐, 5‐, and 8‐year areas under the ROC curve of LNR‐RPA stage and LODDS‐RPA stage were superior to tumor‐node‐metastasis stage. Conclusion LODDS to be a better prognostic factor of CSS for colon MAC patients than pN stage and LNR. A nomogram and RPA stage base on LODDS can provide accurate information for personalized cancer treatment.
format article
author Huajun Cai
Tianbao Xu
Zhicheng Zhuang
Yiyi Zhang
Yuan Gao
Xing Liu
Jinfu Zhuang
Yuanfeng Yang
Guoxian Guan
author_facet Huajun Cai
Tianbao Xu
Zhicheng Zhuang
Yiyi Zhang
Yuan Gao
Xing Liu
Jinfu Zhuang
Yuanfeng Yang
Guoxian Guan
author_sort Huajun Cai
title Value of the log odds of positive lymph nodes for prognostic assessment of colon mucinous adenocarcinoma: Analysis and external validation
title_short Value of the log odds of positive lymph nodes for prognostic assessment of colon mucinous adenocarcinoma: Analysis and external validation
title_full Value of the log odds of positive lymph nodes for prognostic assessment of colon mucinous adenocarcinoma: Analysis and external validation
title_fullStr Value of the log odds of positive lymph nodes for prognostic assessment of colon mucinous adenocarcinoma: Analysis and external validation
title_full_unstemmed Value of the log odds of positive lymph nodes for prognostic assessment of colon mucinous adenocarcinoma: Analysis and external validation
title_sort value of the log odds of positive lymph nodes for prognostic assessment of colon mucinous adenocarcinoma: analysis and external validation
publisher Wiley
publishDate 2021
url https://doaj.org/article/a1b7a9b94e1c475184be482f5e0547b2
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