Cargando…
Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system
We aimed to perform a pan-metastatic cancer analysis on survival and prognostic factors and to create a prognosis-based classification system. We selected distant metastasis patients from the Surveillance, Epidemiology, and End Results (SEER) database. The associations between the characteristics of...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485706/ https://www.ncbi.nlm.nih.gov/pubmed/32889800 http://dx.doi.org/10.18632/aging.103467 |
_version_ | 1783581197239058432 |
---|---|
author | Zhang, Chao Xu, Guijun Xu, Yao Wu, Haixiao Guo, Xu Mao, Min Baklaushev, Vladimir P. Chekhonin, Vladimir P. Peltzer, Karl Bai, Ye Wang, Guowen Ma, Wenjuan Wang, Xin |
author_facet | Zhang, Chao Xu, Guijun Xu, Yao Wu, Haixiao Guo, Xu Mao, Min Baklaushev, Vladimir P. Chekhonin, Vladimir P. Peltzer, Karl Bai, Ye Wang, Guowen Ma, Wenjuan Wang, Xin |
author_sort | Zhang, Chao |
collection | PubMed |
description | We aimed to perform a pan-metastatic cancer analysis on survival and prognostic factors and to create a prognosis-based classification system. We selected distant metastasis patients from the Surveillance, Epidemiology, and End Results (SEER) database. The associations between the characteristics of the patients at admission and overall survival were determined. A prognosis-based metastatic cancer classification was established based on the identified prognostic factors. The differences in prognosis among these categories were tested. The survival rate and prognostic factors were not consistent across cancers. Three metastatic cancer categories were generated, each with different prognoses. The prognostic differences among the categories were satisfactorily validated. Different metastatic cancer types had homogeneous and heterogeneous survival rates and prognostic factors. A prognosis-based classification system for synchronous distant metastasis cancer patients at admission was created. This classification system reflects the grade of malignancy in metastatic cancers and may guide the prediction of survival and individualized treatment. Moreover, it may have important implications for the management of synchronous metastatic cancers and aid clinicians in properly allocating medical resources to metastatic patients. |
format | Online Article Text |
id | pubmed-7485706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-74857062020-09-14 Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system Zhang, Chao Xu, Guijun Xu, Yao Wu, Haixiao Guo, Xu Mao, Min Baklaushev, Vladimir P. Chekhonin, Vladimir P. Peltzer, Karl Bai, Ye Wang, Guowen Ma, Wenjuan Wang, Xin Aging (Albany NY) Research Paper We aimed to perform a pan-metastatic cancer analysis on survival and prognostic factors and to create a prognosis-based classification system. We selected distant metastasis patients from the Surveillance, Epidemiology, and End Results (SEER) database. The associations between the characteristics of the patients at admission and overall survival were determined. A prognosis-based metastatic cancer classification was established based on the identified prognostic factors. The differences in prognosis among these categories were tested. The survival rate and prognostic factors were not consistent across cancers. Three metastatic cancer categories were generated, each with different prognoses. The prognostic differences among the categories were satisfactorily validated. Different metastatic cancer types had homogeneous and heterogeneous survival rates and prognostic factors. A prognosis-based classification system for synchronous distant metastasis cancer patients at admission was created. This classification system reflects the grade of malignancy in metastatic cancers and may guide the prediction of survival and individualized treatment. Moreover, it may have important implications for the management of synchronous metastatic cancers and aid clinicians in properly allocating medical resources to metastatic patients. Impact Journals 2020-08-27 /pmc/articles/PMC7485706/ /pubmed/32889800 http://dx.doi.org/10.18632/aging.103467 Text en Copyright © 2020 Zhang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Zhang, Chao Xu, Guijun Xu, Yao Wu, Haixiao Guo, Xu Mao, Min Baklaushev, Vladimir P. Chekhonin, Vladimir P. Peltzer, Karl Bai, Ye Wang, Guowen Ma, Wenjuan Wang, Xin Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system |
title | Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system |
title_full | Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system |
title_fullStr | Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system |
title_full_unstemmed | Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system |
title_short | Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system |
title_sort | pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485706/ https://www.ncbi.nlm.nih.gov/pubmed/32889800 http://dx.doi.org/10.18632/aging.103467 |
work_keys_str_mv | AT zhangchao panmetastaticcanceranalysisofprognosticfactorsandaprognosisbasedmetastaticcancerclassificationsystem AT xuguijun panmetastaticcanceranalysisofprognosticfactorsandaprognosisbasedmetastaticcancerclassificationsystem AT xuyao panmetastaticcanceranalysisofprognosticfactorsandaprognosisbasedmetastaticcancerclassificationsystem AT wuhaixiao panmetastaticcanceranalysisofprognosticfactorsandaprognosisbasedmetastaticcancerclassificationsystem AT guoxu panmetastaticcanceranalysisofprognosticfactorsandaprognosisbasedmetastaticcancerclassificationsystem AT maomin panmetastaticcanceranalysisofprognosticfactorsandaprognosisbasedmetastaticcancerclassificationsystem AT baklaushevvladimirp panmetastaticcanceranalysisofprognosticfactorsandaprognosisbasedmetastaticcancerclassificationsystem AT chekhoninvladimirp panmetastaticcanceranalysisofprognosticfactorsandaprognosisbasedmetastaticcancerclassificationsystem AT peltzerkarl panmetastaticcanceranalysisofprognosticfactorsandaprognosisbasedmetastaticcancerclassificationsystem AT baiye panmetastaticcanceranalysisofprognosticfactorsandaprognosisbasedmetastaticcancerclassificationsystem AT wangguowen panmetastaticcanceranalysisofprognosticfactorsandaprognosisbasedmetastaticcancerclassificationsystem AT mawenjuan panmetastaticcanceranalysisofprognosticfactorsandaprognosisbasedmetastaticcancerclassificationsystem AT wangxin panmetastaticcanceranalysisofprognosticfactorsandaprognosisbasedmetastaticcancerclassificationsystem |