Abstract

Prostate cancer is one of the most common male cancers globally; however little is known about prostate cancer in Africa. Incidence data for prostate cancer in South Africa (SA) from the pathology based National Cancer Registry (1986–2006) and data on mortality (1997–2009) from Statistics SA were analysed. World standard population denominators were used to calculate age specific incidence and mortality rates (ASIR and ASMR) using the direct method. Prostate cancer was the most common male cancer in all SA population groups (excluding basal cell carcinoma). There are large disparities in the ASIR between black, white, coloured, and Asian/Indian populations: 19, 65, 46, and 19 per 100 000, respectively, and ASMR was 11, 7, 52, and 6 per 100 000, respectively. Prostate cancer was the second leading cause of cancer death, accounting for around 13% of male deaths from a cancer. The average age at diagnosis was 68 years and 74 years at death. For SA the ASIR increased from 16.8 in 1986 to 30.8 in 2006, while the ASMR increased from 12.3 in 1997 to 16.7 in 2009. There has been a steady increase of incidence and mortality from prostate cancer in SA.

Highlights

  • Prostate cancer (ICD-O3 code C61.9 and ICD-10 code C61)(CaP) is one of the most common cancers worldwide

  • More detail was sourced directly from the National Cancer Registry (NCR) database and included a breakdown of the CaP subtypes seen through the years of 1999–2006 and the reported ages at diagnosis, allowing for calculation of mean ages of CaP cases reported to the NCR by population group

  • Each year the white population group had the highest number of cases reported

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Summary

Introduction

(CaP) is one of the most common cancers worldwide. The worldwide incidence of CaP varies greatly between different geographical regions and/or ethnic groups, with men of African descent living out of Africa having some of the highest incidence rates By contrast the incidence of CaP is low in several Asian countries [5]. The reasons for these differences are still unclear but may be related to differences in testing, referral patterns, access to care, differences in biology of the disease, inherited susceptibility, treatment options, reporting, and diagnosis; these could all influence disparities between different racial, ethnic, and geographic backgrounds [2, 6, 7]

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