Cargando…

Development and validation of a nomogram to predict overall survival of T1 esophageal squamous cell carcinoma patients with lymph node metastasis

PURPOSE: To develop a nomogram for predicting the prognosis of T1 esophageal squamous cell carcinoma (ESCC) patients with positive lymph node. METHODS: T1 ESCC patients with lymph node metastasis diagnosed between 2010 and 2015 were selected from the Surveillance, Epidemiology, and Final Results (SE...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Jia, Hu, Wenyu, Yao, Nan, Sun, Mengzi, Li, Xiaotong, Wang, Ling, Yang, Yixue, Li, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144477/
https://www.ncbi.nlm.nih.gov/pubmed/34020370
http://dx.doi.org/10.1016/j.tranon.2021.101127
_version_ 1783696966623952896
author Yu, Jia
Hu, Wenyu
Yao, Nan
Sun, Mengzi
Li, Xiaotong
Wang, Ling
Yang, Yixue
Li, Bo
author_facet Yu, Jia
Hu, Wenyu
Yao, Nan
Sun, Mengzi
Li, Xiaotong
Wang, Ling
Yang, Yixue
Li, Bo
author_sort Yu, Jia
collection PubMed
description PURPOSE: To develop a nomogram for predicting the prognosis of T1 esophageal squamous cell carcinoma (ESCC) patients with positive lymph node. METHODS: T1 ESCC patients with lymph node metastasis diagnosed between 2010 and 2015 were selected from the Surveillance, Epidemiology, and Final Results (SEER) database. The entire cohort was randomly divided in the ratio of 7:3 into a training group (n=457) and validation group (n=192), respectively. Prognostic factors were identified by univariate and multivariate Cox regression models. Harrell's concordance index (C-index), receiver operating characteristic (ROC) curve, and calibration curve were used to evaluate the discrimination and calibration of the nomogram. The accuracy and clinical net benefit of the nomogram compared with the 7(th) AJCC staging system were evaluated using net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA). RESULTS: The nomogram consisted of eight factors: insurance, T stage, summary stage, primary site, radiation code, chemotherapy, surgery, and radiation sequence with surgery. In the training and validation cohorts, the AUCs exceeded 0.700, and the C-index scores were 0.749 and 0.751, respectively, indicating that the nomogram had good discrimination. The consistency between the survival probability predicted by the nomogram and the actual observed probability was indicated by the calibration curve in the training and validation cohorts. For NRI>0 and IDI>0, the predictive power of the nomogram was more accurate than that of the 7(th) AJCC staging system. Furthermore, the DCA curve indicated that the nomogram achieved better clinical utility than the traditional system. CONCLUSIONS: Unlike the 7(th) AJCC staging system, the developed and validated nomogram can help clinical staff to more accurately, personally and comprehensively predict the 1-year and 3-year OS probability of T1 ESCC patients with lymph node metastasis.
format Online
Article
Text
id pubmed-8144477
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Neoplasia Press
record_format MEDLINE/PubMed
spelling pubmed-81444772021-06-04 Development and validation of a nomogram to predict overall survival of T1 esophageal squamous cell carcinoma patients with lymph node metastasis Yu, Jia Hu, Wenyu Yao, Nan Sun, Mengzi Li, Xiaotong Wang, Ling Yang, Yixue Li, Bo Transl Oncol Original Research PURPOSE: To develop a nomogram for predicting the prognosis of T1 esophageal squamous cell carcinoma (ESCC) patients with positive lymph node. METHODS: T1 ESCC patients with lymph node metastasis diagnosed between 2010 and 2015 were selected from the Surveillance, Epidemiology, and Final Results (SEER) database. The entire cohort was randomly divided in the ratio of 7:3 into a training group (n=457) and validation group (n=192), respectively. Prognostic factors were identified by univariate and multivariate Cox regression models. Harrell's concordance index (C-index), receiver operating characteristic (ROC) curve, and calibration curve were used to evaluate the discrimination and calibration of the nomogram. The accuracy and clinical net benefit of the nomogram compared with the 7(th) AJCC staging system were evaluated using net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA). RESULTS: The nomogram consisted of eight factors: insurance, T stage, summary stage, primary site, radiation code, chemotherapy, surgery, and radiation sequence with surgery. In the training and validation cohorts, the AUCs exceeded 0.700, and the C-index scores were 0.749 and 0.751, respectively, indicating that the nomogram had good discrimination. The consistency between the survival probability predicted by the nomogram and the actual observed probability was indicated by the calibration curve in the training and validation cohorts. For NRI>0 and IDI>0, the predictive power of the nomogram was more accurate than that of the 7(th) AJCC staging system. Furthermore, the DCA curve indicated that the nomogram achieved better clinical utility than the traditional system. CONCLUSIONS: Unlike the 7(th) AJCC staging system, the developed and validated nomogram can help clinical staff to more accurately, personally and comprehensively predict the 1-year and 3-year OS probability of T1 ESCC patients with lymph node metastasis. Neoplasia Press 2021-05-18 /pmc/articles/PMC8144477/ /pubmed/34020370 http://dx.doi.org/10.1016/j.tranon.2021.101127 Text en © 2021 Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research
Yu, Jia
Hu, Wenyu
Yao, Nan
Sun, Mengzi
Li, Xiaotong
Wang, Ling
Yang, Yixue
Li, Bo
Development and validation of a nomogram to predict overall survival of T1 esophageal squamous cell carcinoma patients with lymph node metastasis
title Development and validation of a nomogram to predict overall survival of T1 esophageal squamous cell carcinoma patients with lymph node metastasis
title_full Development and validation of a nomogram to predict overall survival of T1 esophageal squamous cell carcinoma patients with lymph node metastasis
title_fullStr Development and validation of a nomogram to predict overall survival of T1 esophageal squamous cell carcinoma patients with lymph node metastasis
title_full_unstemmed Development and validation of a nomogram to predict overall survival of T1 esophageal squamous cell carcinoma patients with lymph node metastasis
title_short Development and validation of a nomogram to predict overall survival of T1 esophageal squamous cell carcinoma patients with lymph node metastasis
title_sort development and validation of a nomogram to predict overall survival of t1 esophageal squamous cell carcinoma patients with lymph node metastasis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144477/
https://www.ncbi.nlm.nih.gov/pubmed/34020370
http://dx.doi.org/10.1016/j.tranon.2021.101127
work_keys_str_mv AT yujia developmentandvalidationofanomogramtopredictoverallsurvivaloft1esophagealsquamouscellcarcinomapatientswithlymphnodemetastasis
AT huwenyu developmentandvalidationofanomogramtopredictoverallsurvivaloft1esophagealsquamouscellcarcinomapatientswithlymphnodemetastasis
AT yaonan developmentandvalidationofanomogramtopredictoverallsurvivaloft1esophagealsquamouscellcarcinomapatientswithlymphnodemetastasis
AT sunmengzi developmentandvalidationofanomogramtopredictoverallsurvivaloft1esophagealsquamouscellcarcinomapatientswithlymphnodemetastasis
AT lixiaotong developmentandvalidationofanomogramtopredictoverallsurvivaloft1esophagealsquamouscellcarcinomapatientswithlymphnodemetastasis
AT wangling developmentandvalidationofanomogramtopredictoverallsurvivaloft1esophagealsquamouscellcarcinomapatientswithlymphnodemetastasis
AT yangyixue developmentandvalidationofanomogramtopredictoverallsurvivaloft1esophagealsquamouscellcarcinomapatientswithlymphnodemetastasis
AT libo developmentandvalidationofanomogramtopredictoverallsurvivaloft1esophagealsquamouscellcarcinomapatientswithlymphnodemetastasis