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Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system

Authors :
Wenjuan Ma
Min Mao
Karl Peltzer
Vladimir P. Chekhonin
Haixiao Wu
Vladimir P. Baklaushev
Xin Wang
Xu Guo
Yao Xu
Ye Bai
Chao Zhang
Guijun Xu
Guowen Wang
Source :
Aging (Albany NY)
Publication Year :
2020
Publisher :
Impact Journals, LLC, 2020.

Abstract

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.

Details

ISSN :
19454589
Volume :
12
Database :
OpenAIRE
Journal :
Aging
Accession number :
edsair.doi.dedup.....c197b68013e20c765bf6e05dd169930a