Cargando…
A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma
BACKGROUND: The aim of our study was to develop a nomogram model to predict overall survival (OS) and cancer-specific survival (CSS) in patients with gastric signet ring cell carcinoma (GSRC). METHODS: GSRC patients from 2004 to 2015 were collected from the Surveillance, Epidemiology, and End Result...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258759/ https://www.ncbi.nlm.nih.gov/pubmed/34190015 http://dx.doi.org/10.1177/15330338211027912 |
_version_ | 1783718555934523392 |
---|---|
author | Guo, Qinping Wang, Yinquan An, Jie Wang, Siben Dong, Xiushan Zhao, Haoliang |
author_facet | Guo, Qinping Wang, Yinquan An, Jie Wang, Siben Dong, Xiushan Zhao, Haoliang |
author_sort | Guo, Qinping |
collection | PubMed |
description | BACKGROUND: The aim of our study was to develop a nomogram model to predict overall survival (OS) and cancer-specific survival (CSS) in patients with gastric signet ring cell carcinoma (GSRC). METHODS: GSRC patients from 2004 to 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database and randomly assigned to the training and validation sets. Multivariate Cox regression analyses screened for OS and CSS independent risk factors and nomograms were constructed. RESULTS: A total of 7,149 eligible GSRC patients were identified, including 4,766 in the training set and 2,383 in the validation set. Multivariate Cox regression analysis showed that gender, marital status, race, AJCC stage, TNM stage, surgery and chemotherapy were independent risk factors for both OS and CSS. Based on the results of the multivariate Cox regression analysis, prognostic nomograms were constructed for OS and CSS. In the training set, the C-index was 0.754 (95% CI = 0.746-0.762) for the OS nomogram and 0.762 (95% CI: 0.753-0.771) for the CSS nomogram. In the internal validation, the C-index for the OS nomogram was 0.758 (95% CI: 0.746-0.770), while the C-index for the CSS nomogram was 0.762 (95% CI: 0.749-0.775). Compared with TNM stage and SEER stage, the nomogram had better predictive ability. In addition, the calibration curves also showed good consistency between the predicted and actual 3-year and 5-year OS and CSS. CONCLUSION: The nomogram can effectively predict OS and CSS in patients with GSRC, which may help clinicians to personalize prognostic assessments and clinical decisions. |
format | Online Article Text |
id | pubmed-8258759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-82587592021-07-16 A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma Guo, Qinping Wang, Yinquan An, Jie Wang, Siben Dong, Xiushan Zhao, Haoliang Technol Cancer Res Treat Original Article BACKGROUND: The aim of our study was to develop a nomogram model to predict overall survival (OS) and cancer-specific survival (CSS) in patients with gastric signet ring cell carcinoma (GSRC). METHODS: GSRC patients from 2004 to 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database and randomly assigned to the training and validation sets. Multivariate Cox regression analyses screened for OS and CSS independent risk factors and nomograms were constructed. RESULTS: A total of 7,149 eligible GSRC patients were identified, including 4,766 in the training set and 2,383 in the validation set. Multivariate Cox regression analysis showed that gender, marital status, race, AJCC stage, TNM stage, surgery and chemotherapy were independent risk factors for both OS and CSS. Based on the results of the multivariate Cox regression analysis, prognostic nomograms were constructed for OS and CSS. In the training set, the C-index was 0.754 (95% CI = 0.746-0.762) for the OS nomogram and 0.762 (95% CI: 0.753-0.771) for the CSS nomogram. In the internal validation, the C-index for the OS nomogram was 0.758 (95% CI: 0.746-0.770), while the C-index for the CSS nomogram was 0.762 (95% CI: 0.749-0.775). Compared with TNM stage and SEER stage, the nomogram had better predictive ability. In addition, the calibration curves also showed good consistency between the predicted and actual 3-year and 5-year OS and CSS. CONCLUSION: The nomogram can effectively predict OS and CSS in patients with GSRC, which may help clinicians to personalize prognostic assessments and clinical decisions. SAGE Publications 2021-06-30 /pmc/articles/PMC8258759/ /pubmed/34190015 http://dx.doi.org/10.1177/15330338211027912 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article Guo, Qinping Wang, Yinquan An, Jie Wang, Siben Dong, Xiushan Zhao, Haoliang A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma |
title | A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma |
title_full | A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma |
title_fullStr | A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma |
title_full_unstemmed | A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma |
title_short | A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma |
title_sort | prognostic model for patients with gastric signet ring cell carcinoma |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258759/ https://www.ncbi.nlm.nih.gov/pubmed/34190015 http://dx.doi.org/10.1177/15330338211027912 |
work_keys_str_mv | AT guoqinping aprognosticmodelforpatientswithgastricsignetringcellcarcinoma AT wangyinquan aprognosticmodelforpatientswithgastricsignetringcellcarcinoma AT anjie aprognosticmodelforpatientswithgastricsignetringcellcarcinoma AT wangsiben aprognosticmodelforpatientswithgastricsignetringcellcarcinoma AT dongxiushan aprognosticmodelforpatientswithgastricsignetringcellcarcinoma AT zhaohaoliang aprognosticmodelforpatientswithgastricsignetringcellcarcinoma AT guoqinping prognosticmodelforpatientswithgastricsignetringcellcarcinoma AT wangyinquan prognosticmodelforpatientswithgastricsignetringcellcarcinoma AT anjie prognosticmodelforpatientswithgastricsignetringcellcarcinoma AT wangsiben prognosticmodelforpatientswithgastricsignetringcellcarcinoma AT dongxiushan prognosticmodelforpatientswithgastricsignetringcellcarcinoma AT zhaohaoliang prognosticmodelforpatientswithgastricsignetringcellcarcinoma |