Background: There are numerous patients that are suffering with cancer disease in Ethiopia. However, as far as our knowledge concerned there was no any study that have been conducted to determine the factors on cancer disease. The main objective of this study was to assess the distribution risk of cancer disease by taking into account the spatial effect. It was also aimed to determine the effects of some common clinical patients characteristics, complications of cancer disease and prognostic factor on current patient status, and finally predict the patient status. Methods: The data was obtained from 415 cancer patients. Statistical models were used to investigate the spatial difference of incidence of cancer across different districts and different disk factors identified using spatial mixed OLR model. Results: The findings of this study shows that only 1.45% cured of patients who have taken treatment were cured and 46.02% improved while the rest have shown no change and even worse status after they getting treatment. Prognostic factor (stage and grade of cancer tumor), complication of cancer disease such as anemia during diagnosis and treatment of patients given in the hospital had significant effect on the patient status. Conclusion: Patients without anemia complication at diagnosis were more likely to fall in the lower patient category than patients with anemia complication during diagnosis. Most of the patients had advanced stage (IV) and grade of cancer tumor that dismantle the capability of the treatment to be less effective. There was negative spatial effect on the incidence of cancer indicate that districts with higher cancer incidence usually surrounded by districts with lower incidence. Keywords: Incidence of cancer, Patient Status, Spatial (Mixed) OLR