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Multiple Factors Analysis of Cox Regression Model for Colon Cancer: Based on SEER Database

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DOI: 10.23977/phpm.2022.020407 | Downloads: 17 | Views: 660


Yuxiao Fang 1


1 Faculty of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, China

Corresponding Author

Yuxiao Fang


The mortality of colon cancer has been high and the cancer threatens people’s health. It is necessary to acknowledge the risk factors of colon cancer and enhance the prognosis of colon cancer. Method: Surveillance, Epidemiology and End Results (SEER) database whose data of colon cancer has 44,052 samples from 1975 to 2019 were adopted for analysis, and their independent risk factors were selected by using cox multiple factors analysis, evaluating the model by using the concordance index, and finally presenting the results by using a nomogram. Result: The results of the analysis showed that age, race, T-stage, N-stage, and M-stage were independent factors affecting the incidence of the colon cancer. About racial factor, survival was higher in other races than in whites and in whites than in blacks. About age factor, the chance of survival was significantly lower for patients after 60 years of age. Conclusion: For colon cancer patients, age and race are important factors that threaten their survival. Black races and middle-aged and older adults after age 60 need to be screened regularly for their risk of developing colon cancer. The findings of this study will help patients' prognosis, help them screen for their own cancer risk, and work to reduce the incidence and mortality of colon cancer.


Cancer, SEER, colon cancer, regression analysis


Yuxiao Fang, Multiple Factors Analysis of Cox Regression Model for Colon Cancer: Based on SEER Database. MEDS Public Health and Preventive Medicine (2022) Vol. 2: 47-53. DOI:


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