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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...

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Autores principales: 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
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
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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.
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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
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