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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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Published in:Aging (Albany, NY.) NY.), 2020-08, Vol.12 (16), p.16046-16061
Main Authors: 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
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Language:English
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Summary: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.
ISSN:1945-4589
1945-4589
DOI:10.18632/aging.103467