Spectrum of Primary Cancer Diagnoses Among Patients at Uganda Cancer Institute in 2015 and 2016

Abstract

Background: Most recent cancer registry data suggests a change in cancer occurrence in Uganda with a decrease in incidence of Kaposi sarcoma (KS) but an increase in cervical, prostate and breast cancer. Anecdotal data suggest that KS, non-Hodgkin's lymphoma and breast cancer were the most common cancers among patients at Uganda Cancer Institute (UCI) by 2006. Aim: To describe the spectrum of cancer diagnoses among new patients that presented for care at UCI over the past 2-years. Methods: We conducted a cross sectional study of patients admitted into care at UCI with a histologic or clinical diagnosis of cancer from January 2015 to December 2016. Cancer diagnoses were reported as proportions by gender and age - children (0-14 years) and adults (above 14 years). Results: Overall, 8279 new patients were registered during the study period but only 7588 (92%) were recorded in the electronic database and had information on cancer diagnosis. Of these, 53% were admitted in 2015, and 55% were females. Median age was 48 years (IQR: 34-62). Among 2997 female adults, 30% had cervical, 17% breast, 5% Kaposi sarcoma (KS), 4% leukemia and 3.9% esophageal cancer. Among 2136 male adults, 17% had KS, 12% prostate, 10% esophageal, 6% leukemia and 4% colorectal cancer. Among the 486 children, 17% had leukemia, 16.7% nephroblastoma (Wilms tumor), 15.9% Burkitt lymphoma (BL), 8% rhabdomyosarcoma, and 6% Kaposi sarcoma. Conclusion: The distribution of cancer diagnoses among patients seen at UCI reflects the population level cancer incidence with cervical, breast, KS, prostate, esophageal, and colorectal cancer in adults, and nephroblastoma in children as the leading cause of cancer related morbidity. The overrepresentation of leukemia may be due to referral bias but warrants further study. The correlation of our findings with incidence data suggests that missing information did not significantly skew our findings. However more investments are needed to improve the quality of data captured electronically.