Cargando…

A novel nomogram with preferable capability in predicting the overall survival of patients after radical esophageal cancer resection based on accessible clinical indicators: A comparison with AJCC staging

BACKGROUND: Esophageal cancer (EC) is a malignant tumor with high mortality. Nomogram is an important tool used in clinical prognostic assessment. We aimed to establish a novel nomogram to predict the overall survival (OS) of EC patients after radical esophagectomy. METHODS: Data pertaining to the s...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Xinye, Xu, Jinming, Zhu, Linhai, Yang, Sijia, Yu, Li, Lv, Wang, Hu, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267131/
https://www.ncbi.nlm.nih.gov/pubmed/34128338
http://dx.doi.org/10.1002/cam4.3878
_version_ 1783720078364114944
author Li, Xinye
Xu, Jinming
Zhu, Linhai
Yang, Sijia
Yu, Li
Lv, Wang
Hu, Jian
author_facet Li, Xinye
Xu, Jinming
Zhu, Linhai
Yang, Sijia
Yu, Li
Lv, Wang
Hu, Jian
author_sort Li, Xinye
collection PubMed
description BACKGROUND: Esophageal cancer (EC) is a malignant tumor with high mortality. Nomogram is an important tool used in clinical prognostic assessment. We aimed to establish a novel nomogram to predict the overall survival (OS) of EC patients after radical esophagectomy. METHODS: Data pertaining to the survival, demography, and clinicopathology of 311 EC patients who underwent radical esophagectomy were retrospectively investigated. The nomogram was established based on Cox hazard regression analysis. The calibration curves and Harrell's concordance index (C‐index) were used to verify the predictive accuracy and ROC curves were used to assess the efficacy of the nomogram. Kaplan–Meier curves showed the prognostic value of the related risk classification system. Pearson correlation test was performed to determine the correlation between the risk classification system and TNM staging. RESULTS: The median OS and 5‐year survival rates in the primary and validation cohorts were 44 months and 29.8%, and 52 months and 27.1%, respectively. We used six independent prognostic factors—age, Sex, AGR, PRL, N stage, and PNI—in the nomogram. The C‐index of nomogram was 0.75 and 0.70 in the primary and validation cohorts, respectively. Calibration curves indicated high consistency between actual and predicted OS. ROC curves showed that nomogram has a better efficacy compared with TNM staging in both cohorts. Patients were divided into three risk groups according to the total nomogram score, the median OS in each group was significantly different in both cohorts. Furthermore, the risk classification system was strongly correlated with the T and N staging system and exhibited a better OS prediction capability. CONCLUSIONS: We established a novel and practical nomogram with a subordinate risk classification system to predict the OS of patients after radical esophagectomy. Compared with AJCC staging, this nomogram had preferable clinical capability in terms of individual prognosis assessment.
format Online
Article
Text
id pubmed-8267131
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-82671312021-07-13 A novel nomogram with preferable capability in predicting the overall survival of patients after radical esophageal cancer resection based on accessible clinical indicators: A comparison with AJCC staging Li, Xinye Xu, Jinming Zhu, Linhai Yang, Sijia Yu, Li Lv, Wang Hu, Jian Cancer Med Clinical Cancer Research BACKGROUND: Esophageal cancer (EC) is a malignant tumor with high mortality. Nomogram is an important tool used in clinical prognostic assessment. We aimed to establish a novel nomogram to predict the overall survival (OS) of EC patients after radical esophagectomy. METHODS: Data pertaining to the survival, demography, and clinicopathology of 311 EC patients who underwent radical esophagectomy were retrospectively investigated. The nomogram was established based on Cox hazard regression analysis. The calibration curves and Harrell's concordance index (C‐index) were used to verify the predictive accuracy and ROC curves were used to assess the efficacy of the nomogram. Kaplan–Meier curves showed the prognostic value of the related risk classification system. Pearson correlation test was performed to determine the correlation between the risk classification system and TNM staging. RESULTS: The median OS and 5‐year survival rates in the primary and validation cohorts were 44 months and 29.8%, and 52 months and 27.1%, respectively. We used six independent prognostic factors—age, Sex, AGR, PRL, N stage, and PNI—in the nomogram. The C‐index of nomogram was 0.75 and 0.70 in the primary and validation cohorts, respectively. Calibration curves indicated high consistency between actual and predicted OS. ROC curves showed that nomogram has a better efficacy compared with TNM staging in both cohorts. Patients were divided into three risk groups according to the total nomogram score, the median OS in each group was significantly different in both cohorts. Furthermore, the risk classification system was strongly correlated with the T and N staging system and exhibited a better OS prediction capability. CONCLUSIONS: We established a novel and practical nomogram with a subordinate risk classification system to predict the OS of patients after radical esophagectomy. Compared with AJCC staging, this nomogram had preferable clinical capability in terms of individual prognosis assessment. John Wiley and Sons Inc. 2021-06-15 /pmc/articles/PMC8267131/ /pubmed/34128338 http://dx.doi.org/10.1002/cam4.3878 Text en © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Li, Xinye
Xu, Jinming
Zhu, Linhai
Yang, Sijia
Yu, Li
Lv, Wang
Hu, Jian
A novel nomogram with preferable capability in predicting the overall survival of patients after radical esophageal cancer resection based on accessible clinical indicators: A comparison with AJCC staging
title A novel nomogram with preferable capability in predicting the overall survival of patients after radical esophageal cancer resection based on accessible clinical indicators: A comparison with AJCC staging
title_full A novel nomogram with preferable capability in predicting the overall survival of patients after radical esophageal cancer resection based on accessible clinical indicators: A comparison with AJCC staging
title_fullStr A novel nomogram with preferable capability in predicting the overall survival of patients after radical esophageal cancer resection based on accessible clinical indicators: A comparison with AJCC staging
title_full_unstemmed A novel nomogram with preferable capability in predicting the overall survival of patients after radical esophageal cancer resection based on accessible clinical indicators: A comparison with AJCC staging
title_short A novel nomogram with preferable capability in predicting the overall survival of patients after radical esophageal cancer resection based on accessible clinical indicators: A comparison with AJCC staging
title_sort novel nomogram with preferable capability in predicting the overall survival of patients after radical esophageal cancer resection based on accessible clinical indicators: a comparison with ajcc staging
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267131/
https://www.ncbi.nlm.nih.gov/pubmed/34128338
http://dx.doi.org/10.1002/cam4.3878
work_keys_str_mv AT lixinye anovelnomogramwithpreferablecapabilityinpredictingtheoverallsurvivalofpatientsafterradicalesophagealcancerresectionbasedonaccessibleclinicalindicatorsacomparisonwithajccstaging
AT xujinming anovelnomogramwithpreferablecapabilityinpredictingtheoverallsurvivalofpatientsafterradicalesophagealcancerresectionbasedonaccessibleclinicalindicatorsacomparisonwithajccstaging
AT zhulinhai anovelnomogramwithpreferablecapabilityinpredictingtheoverallsurvivalofpatientsafterradicalesophagealcancerresectionbasedonaccessibleclinicalindicatorsacomparisonwithajccstaging
AT yangsijia anovelnomogramwithpreferablecapabilityinpredictingtheoverallsurvivalofpatientsafterradicalesophagealcancerresectionbasedonaccessibleclinicalindicatorsacomparisonwithajccstaging
AT yuli anovelnomogramwithpreferablecapabilityinpredictingtheoverallsurvivalofpatientsafterradicalesophagealcancerresectionbasedonaccessibleclinicalindicatorsacomparisonwithajccstaging
AT lvwang anovelnomogramwithpreferablecapabilityinpredictingtheoverallsurvivalofpatientsafterradicalesophagealcancerresectionbasedonaccessibleclinicalindicatorsacomparisonwithajccstaging
AT hujian anovelnomogramwithpreferablecapabilityinpredictingtheoverallsurvivalofpatientsafterradicalesophagealcancerresectionbasedonaccessibleclinicalindicatorsacomparisonwithajccstaging
AT lixinye novelnomogramwithpreferablecapabilityinpredictingtheoverallsurvivalofpatientsafterradicalesophagealcancerresectionbasedonaccessibleclinicalindicatorsacomparisonwithajccstaging
AT xujinming novelnomogramwithpreferablecapabilityinpredictingtheoverallsurvivalofpatientsafterradicalesophagealcancerresectionbasedonaccessibleclinicalindicatorsacomparisonwithajccstaging
AT zhulinhai novelnomogramwithpreferablecapabilityinpredictingtheoverallsurvivalofpatientsafterradicalesophagealcancerresectionbasedonaccessibleclinicalindicatorsacomparisonwithajccstaging
AT yangsijia novelnomogramwithpreferablecapabilityinpredictingtheoverallsurvivalofpatientsafterradicalesophagealcancerresectionbasedonaccessibleclinicalindicatorsacomparisonwithajccstaging
AT yuli novelnomogramwithpreferablecapabilityinpredictingtheoverallsurvivalofpatientsafterradicalesophagealcancerresectionbasedonaccessibleclinicalindicatorsacomparisonwithajccstaging
AT lvwang novelnomogramwithpreferablecapabilityinpredictingtheoverallsurvivalofpatientsafterradicalesophagealcancerresectionbasedonaccessibleclinicalindicatorsacomparisonwithajccstaging
AT hujian novelnomogramwithpreferablecapabilityinpredictingtheoverallsurvivalofpatientsafterradicalesophagealcancerresectionbasedonaccessibleclinicalindicatorsacomparisonwithajccstaging