Cargando…

Nomogram for predicting survival after lymphatic metastasis in esophageal cancer: A SEER analysis

Lymphatic metastasis (LM) is a significant mechanism for the spread of esophageal cancer (EC) and predicts the poor prognosis of EC patients. This research aimed to assess the survival of patients with LM from EC by developing a nomogram. In this retrospective study, EC patients with LM from 2004 to...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Shuo, Yang, Wenwen, Yang, Yanjiang, Fan, Mengmeng, Wang, Feng, He, Li, Han, Biao, Chen, Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10402951/
https://www.ncbi.nlm.nih.gov/pubmed/37543759
http://dx.doi.org/10.1097/MD.0000000000034189
_version_ 1785084953261768704
author Sun, Shuo
Yang, Wenwen
Yang, Yanjiang
Fan, Mengmeng
Wang, Feng
He, Li
Han, Biao
Chen, Chang
author_facet Sun, Shuo
Yang, Wenwen
Yang, Yanjiang
Fan, Mengmeng
Wang, Feng
He, Li
Han, Biao
Chen, Chang
author_sort Sun, Shuo
collection PubMed
description Lymphatic metastasis (LM) is a significant mechanism for the spread of esophageal cancer (EC) and predicts the poor prognosis of EC patients. This research aimed to assess the survival of patients with LM from EC by developing a nomogram. In this retrospective study, EC patients with LM from 2004 to 2015 in the Surveillance, Epidemiology, and End Results (SEER) database were divided by year of diagnosis into a training cohort and a validation cohort. Univariate and multivariate Cox regression analyses were employed to determine the prognostic factors of LM, and a nomogram was constructed. The discrimination and calibration of the nomogram were compared by the C-index, area under the curve value, and calibration plots. The survival time difference was compared using Kaplan–Meier curves. A total of 11,695 patients with EC were included in this analysis. LM occurred in 56.5% (n = 6614) of EC patients. In the post-propensity score matching (PSM) cohort, patients with LM had significantly lower median overall survival (OS) than those without LM. Multivariate Cox regression was used to identify the eleven independent prognostic factors. The C-index was 0.709 in both the training and test sets, revealing the good predictive performance of the nomogram. Based on the results of calibration plots and the receiver operating characteristic (ROC) curve, we demonstrate the great performance of the prognostic model. The survival time of EC patients with LM was remarkably lower than that of EC patients without LM. The nomogram model established in this study can precisely predict the survival of EC patients with LM.
format Online
Article
Text
id pubmed-10402951
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-104029512023-08-05 Nomogram for predicting survival after lymphatic metastasis in esophageal cancer: A SEER analysis Sun, Shuo Yang, Wenwen Yang, Yanjiang Fan, Mengmeng Wang, Feng He, Li Han, Biao Chen, Chang Medicine (Baltimore) Research Article: Observational Study Lymphatic metastasis (LM) is a significant mechanism for the spread of esophageal cancer (EC) and predicts the poor prognosis of EC patients. This research aimed to assess the survival of patients with LM from EC by developing a nomogram. In this retrospective study, EC patients with LM from 2004 to 2015 in the Surveillance, Epidemiology, and End Results (SEER) database were divided by year of diagnosis into a training cohort and a validation cohort. Univariate and multivariate Cox regression analyses were employed to determine the prognostic factors of LM, and a nomogram was constructed. The discrimination and calibration of the nomogram were compared by the C-index, area under the curve value, and calibration plots. The survival time difference was compared using Kaplan–Meier curves. A total of 11,695 patients with EC were included in this analysis. LM occurred in 56.5% (n = 6614) of EC patients. In the post-propensity score matching (PSM) cohort, patients with LM had significantly lower median overall survival (OS) than those without LM. Multivariate Cox regression was used to identify the eleven independent prognostic factors. The C-index was 0.709 in both the training and test sets, revealing the good predictive performance of the nomogram. Based on the results of calibration plots and the receiver operating characteristic (ROC) curve, we demonstrate the great performance of the prognostic model. The survival time of EC patients with LM was remarkably lower than that of EC patients without LM. The nomogram model established in this study can precisely predict the survival of EC patients with LM. Lippincott Williams & Wilkins 2023-08-04 /pmc/articles/PMC10402951/ /pubmed/37543759 http://dx.doi.org/10.1097/MD.0000000000034189 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
spellingShingle Research Article: Observational Study
Sun, Shuo
Yang, Wenwen
Yang, Yanjiang
Fan, Mengmeng
Wang, Feng
He, Li
Han, Biao
Chen, Chang
Nomogram for predicting survival after lymphatic metastasis in esophageal cancer: A SEER analysis
title Nomogram for predicting survival after lymphatic metastasis in esophageal cancer: A SEER analysis
title_full Nomogram for predicting survival after lymphatic metastasis in esophageal cancer: A SEER analysis
title_fullStr Nomogram for predicting survival after lymphatic metastasis in esophageal cancer: A SEER analysis
title_full_unstemmed Nomogram for predicting survival after lymphatic metastasis in esophageal cancer: A SEER analysis
title_short Nomogram for predicting survival after lymphatic metastasis in esophageal cancer: A SEER analysis
title_sort nomogram for predicting survival after lymphatic metastasis in esophageal cancer: a seer analysis
topic Research Article: Observational Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10402951/
https://www.ncbi.nlm.nih.gov/pubmed/37543759
http://dx.doi.org/10.1097/MD.0000000000034189
work_keys_str_mv AT sunshuo nomogramforpredictingsurvivalafterlymphaticmetastasisinesophagealcanceraseeranalysis
AT yangwenwen nomogramforpredictingsurvivalafterlymphaticmetastasisinesophagealcanceraseeranalysis
AT yangyanjiang nomogramforpredictingsurvivalafterlymphaticmetastasisinesophagealcanceraseeranalysis
AT fanmengmeng nomogramforpredictingsurvivalafterlymphaticmetastasisinesophagealcanceraseeranalysis
AT wangfeng nomogramforpredictingsurvivalafterlymphaticmetastasisinesophagealcanceraseeranalysis
AT heli nomogramforpredictingsurvivalafterlymphaticmetastasisinesophagealcanceraseeranalysis
AT hanbiao nomogramforpredictingsurvivalafterlymphaticmetastasisinesophagealcanceraseeranalysis
AT chenchang nomogramforpredictingsurvivalafterlymphaticmetastasisinesophagealcanceraseeranalysis