Prognostic factors for rural endometrial cancer patients in a population-based cohort

摘要

Endometrial cancer is the second most common cancer among female cancer survivors in the US and is increasing in incidence. Rural endometrial cancer patients experience lower survival rates but the reasons for the lower survival are not known. The aim of this study is to examine whether prognostic factors are different for rural and urban patients in a population-based cohort. Endometrial cancer patients diagnosed 1997-2012 were identified through the Utah Cancer Registry and Utah Population Database. The address at cancer diagnosis was used to classify patients in rural or urban residences. Demographic and cancer-specific characteristics were examined as prognostic factors for both all-cause and endometrial cancer-specific mortality using Cox proportional hazards models. There were 2,994 endometrial cancer patients and 14.1% of these patients lived in rural areas at diagnosis. Rural endometrial cancer patients were older at cancer diagnosis and did not appear to be different in terms of obesity or overweight at cancer diagnosis. There were no differences for treatment or stage at diagnosis although rural patients had higher proportions of higher grade. Age at diagnosis, poverty, education, and histology were significant prognostic factors for all-cause death. Rural patients with more advanced stages of cancer had significantly increased risks of all-cause and endometrial cancer-specific death than urban patients. Rural endometrial cancer patients diagnosed at advanced stage had a 17-fold increase in the risk of all-cause death compared to an 8-fold increase in death for urban patients. Rural endometrial cancer patients in Utah were older at diagnosis, had higher grade and higher comorbidities. While urban and rural endometrial cancer patients shared many prognostic factors, the risk of mortality is greater among rural patients with advanced stage endometrial cancer. Future studies should examine where patients are receiving treatment and how that impacts their survival and how to reduce the mortality rates of high risk patients.