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Prognostic value of modified Lauren classification in gastric cancer
BACKGROUND: It remains controversial as to which pathological classification is most valuable in predicting the overall survival (OS) of patients with gastric cancer (GC). AIM: To assess the prognostic performances of three pathological classifications in GC and develop a novel prognostic nomogram f...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465445/ https://www.ncbi.nlm.nih.gov/pubmed/34616522 http://dx.doi.org/10.4251/wjgo.v13.i9.1184 |
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author | Ning, Fei-Long Zhang, Nan-Nan Wang, Jun Jin, Yi-Feng Quan, Hong-Guang Pei, Jun-Peng Zhao, Yan Zeng, Xian-Tao Abe, Masanobu Zhang, Chun-Dong |
author_facet | Ning, Fei-Long Zhang, Nan-Nan Wang, Jun Jin, Yi-Feng Quan, Hong-Guang Pei, Jun-Peng Zhao, Yan Zeng, Xian-Tao Abe, Masanobu Zhang, Chun-Dong |
author_sort | Ning, Fei-Long |
collection | PubMed |
description | BACKGROUND: It remains controversial as to which pathological classification is most valuable in predicting the overall survival (OS) of patients with gastric cancer (GC). AIM: To assess the prognostic performances of three pathological classifications in GC and develop a novel prognostic nomogram for individually predicting OS. METHODS: Patients were identified from the Surveillance, Epidemiology, and End Results program. Univariate and multivariate analyses were performed to identify the independent prognostic factors. Model discrimination and model fitting were evaluated by receiver operating characteristic curves and Akaike information criteria. Decision curve analysis was performed to assess clinical usefulness. The independent prognostic factors identified by multivariate analysis were further applied to develop a novel prognostic nomogram. RESULTS: A total of 2718 eligible GC patients were identified. The modified Lauren classification was identified as one of the independent prognostic factors for OS. It showed superior model discriminative ability and model-fitting performance over the other pathological classifications, and similar results were obtained in various patient settings. In addition, it showed superior net benefits over the Lauren classification and tumor differentiation grade in predicting 3- and 5-year OS. A novel prognostic nomogram incorporating the modified Lauren classification showed superior model discriminative ability, model-fitting performance, and net benefits over the American Joint Committee on Cancer 8(th )edition tumor-node-metastasis classification. CONCLUSION: The modified Lauren classification shows superior net benefits over the Lauren classification and tumor differentiation grade in predicting OS. A novel prognostic nomogram incorporating the modified Lauren classification shows good model discriminative ability, model-fitting performance, and net benefits. |
format | Online Article Text |
id | pubmed-8465445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-84654452021-10-05 Prognostic value of modified Lauren classification in gastric cancer Ning, Fei-Long Zhang, Nan-Nan Wang, Jun Jin, Yi-Feng Quan, Hong-Guang Pei, Jun-Peng Zhao, Yan Zeng, Xian-Tao Abe, Masanobu Zhang, Chun-Dong World J Gastrointest Oncol Retrospective Study BACKGROUND: It remains controversial as to which pathological classification is most valuable in predicting the overall survival (OS) of patients with gastric cancer (GC). AIM: To assess the prognostic performances of three pathological classifications in GC and develop a novel prognostic nomogram for individually predicting OS. METHODS: Patients were identified from the Surveillance, Epidemiology, and End Results program. Univariate and multivariate analyses were performed to identify the independent prognostic factors. Model discrimination and model fitting were evaluated by receiver operating characteristic curves and Akaike information criteria. Decision curve analysis was performed to assess clinical usefulness. The independent prognostic factors identified by multivariate analysis were further applied to develop a novel prognostic nomogram. RESULTS: A total of 2718 eligible GC patients were identified. The modified Lauren classification was identified as one of the independent prognostic factors for OS. It showed superior model discriminative ability and model-fitting performance over the other pathological classifications, and similar results were obtained in various patient settings. In addition, it showed superior net benefits over the Lauren classification and tumor differentiation grade in predicting 3- and 5-year OS. A novel prognostic nomogram incorporating the modified Lauren classification showed superior model discriminative ability, model-fitting performance, and net benefits over the American Joint Committee on Cancer 8(th )edition tumor-node-metastasis classification. CONCLUSION: The modified Lauren classification shows superior net benefits over the Lauren classification and tumor differentiation grade in predicting OS. A novel prognostic nomogram incorporating the modified Lauren classification shows good model discriminative ability, model-fitting performance, and net benefits. Baishideng Publishing Group Inc 2021-09-15 2021-09-15 /pmc/articles/PMC8465445/ /pubmed/34616522 http://dx.doi.org/10.4251/wjgo.v13.i9.1184 Text en ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
spellingShingle | Retrospective Study Ning, Fei-Long Zhang, Nan-Nan Wang, Jun Jin, Yi-Feng Quan, Hong-Guang Pei, Jun-Peng Zhao, Yan Zeng, Xian-Tao Abe, Masanobu Zhang, Chun-Dong Prognostic value of modified Lauren classification in gastric cancer |
title | Prognostic value of modified Lauren classification in gastric cancer |
title_full | Prognostic value of modified Lauren classification in gastric cancer |
title_fullStr | Prognostic value of modified Lauren classification in gastric cancer |
title_full_unstemmed | Prognostic value of modified Lauren classification in gastric cancer |
title_short | Prognostic value of modified Lauren classification in gastric cancer |
title_sort | prognostic value of modified lauren classification in gastric cancer |
topic | Retrospective Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465445/ https://www.ncbi.nlm.nih.gov/pubmed/34616522 http://dx.doi.org/10.4251/wjgo.v13.i9.1184 |
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