| Literature DB >> 35280496 |
Ridwan Oladotun Ahmed1,2,3, Vikash Sewram1, Adisa Rasaaq Oyesegun2, Birhanu Ayele1, Abrie van Wyk4, Pedro Fernandez5.
Abstract
Background: Globally, prostate cancer (PCa) is the commonest non-cutaneous male malignancy. It is more aggressive among black men with little known reasons as to the cause and continued trend among black men. This disproportionate pattern of PCa especially among black men of African ancestry resident in Africa calls for a closer look. Nigeria and South Africa, combined, have the highest cumulative risk incidence of PCa in Africa. The present study investigated the clinicopathologic behaviour of PCa among Nigerian and South African black men and the relationship between the disease and socio-demographic characteristics alongside medical co-morbidities.Entities:
Keywords: African ancestry; Age; Black men; Gleason score; PSA; Prostate cancer; Risk factors
Year: 2022 PMID: 35280496 PMCID: PMC8897758 DOI: 10.1186/s12301-022-00273-y
Source DB: PubMed Journal: Afr J Urol ISSN: 1110-5704
Socio-demographic and pathologic characteristics
| Variables | Country | Total | ||
|---|---|---|---|---|
| Nigeria | South Africa | |||
| 67.0 (61.50–73.77)¥ | 66.0 (60.81–72.40)¥ | |||
| < 0.001 | ||||
| Married | 117 (100.0) | 76 (65.0) | 193 (82.5) | |
| Single | 0 (0.0) | 27 (23.0) | 27 (11.5) | |
| Others# | 0 (0.0) | 14 (12.0) | 14 (6.0) | |
| < 0.001 | ||||
| Non-office/environmental contact | 32 (27.3) | 21 (18.3) | 53 (22.8) | |
| Office/administrative/white collar | 35 (30.0) | 10 (8.7) | 45 (19.4) | |
| Retired and unemployed | 50 (42.7) | 84 (73.0) | 134 (57.8) | |
| < 0.001 | ||||
| Rural | 61 (52.1) | 26 (22.2) | 87 (37.2) | |
| Urban | 56 (47.9) | 91 (77.8) | 147 (62.8) | |
| 0.186 | ||||
| Yes | 45 (38.5) | 55 (47.0) | 100 (42.7) | |
| No | 72 (61.5) | 62 (53.0) | 134 (57.3) | |
| 1.000 | ||||
| Yes | 19 (16.2) | 19 (16.2) | 38 (16.2) | |
| No | 98 (83.8) | 98 (83.8) | 196 (83.8) | |
| 0.001 | ||||
| Yes | 16 (13.7) | 2 (1.7) | 18 (7.7) | |
| No | 101 (86.3) | 115 (98.3) | 216 (92.3) | |
| 0.001 | ||||
| Yes | 14 (12.0) | 34 (29.0) | 48 (20.5) | |
| No | 103 (88.0 | 83 (71.0) | 186 (79.5) | |
| 0.549 | ||||
| Yes | 28 (24.0) | 32 (27.4) | 60 (25.6) | |
| No | 89 (76.0) | 85 (72.6) | 174 (74.4) | |
| | 52.8 (18.65–298.15) ¥ | 47.8 (11.36–492.40) ¥ | ||
| 0.156 | ||||
| Adenocarcinoma | 117 (100.0) | 115 (98.3) | 232 (99.1) | |
| Squamous cell carcinoma | 0 (0.0) | 2 (1.7) | 2 (0.9) | |
| 0.002 | ||||
| 2–6 | 12 (10.3) | 25 (21.4) | 37 (15.8) | |
| 7 | 19 (16.2) | 17 (14.5) | 36 (15.4) | |
| 8–10 | 86 (73.5) | 75 (64.1) | 161 (68.8) | |
| < 0.001 | ||||
| Tx, T1–T2a | 15 (12.8) | 44 (37.6) | 59 (25.2) | |
| T2b | 0 (0.0) | 5 (4.3) | 5 (2.1) | |
| T2c–T4 | 102 (87.2) | 68 (58.1) | 170 (72.7) | |
| <0.001 | ||||
| 27 (65.9) | 14 (34.1) | 41 (100) | ||
¥Median (interquartile range)
*No job records for two South Africans
#Widowed or divorced
PSA category
| PSA category | Country | Total | |
|---|---|---|---|
| Nigeria | South Africa | ||
| High risk | 86 (73.5) | 75 (64.1) | 161 (68.8) |
| Moderate risk | 19 (16.2) | 17 (14.5) | 36 (15.4) |
| Low risk | 12 (10.3) | 25 (21.4) | 37 (15.8) |
χ2 = 5.43(degree of freedom, df = 2), p = 0.066
Staging presentation
| Staging | Country | Total | |
|---|---|---|---|
| Nigeria | South Africa | ||
| Metastatic | 27 (23.1) | 14 (12.0) | 41 (17.5) |
| Locally advanced | 72 (61.5) | 45 (38.5) | 117 (50.0) |
| Organ-confined | 18 (15.4) | 58 (49.5) | 76 (32.5) |
χ2 = 31.4 (df = 2), p < 0.001
PCa disease risk classification (adaptation*1 of D’Amico’s risk criteria)
| Disease category | Country | Total | |
|---|---|---|---|
| Nigeria | South Africa | ||
| High | 108 (54.8) | 89 (45.2) | 197 (100.0) |
| Intermediate | 6 (27.3) | 16 (72.7) | 22 (100.0) |
| Low | 3 (20.0) | 12 (80.0) | 15 (100.0) |
χ2 = 11.8 (df = 2), p = 0.003
Multivariable logistic regression
| Variables | Crude OR (95% CI) | Adjusted OR (95% CI) | ||
|---|---|---|---|---|
| Age | 1.051 (1.005–1.100) | 0.030* | 1.053 (1.003–1.106) | 0.039* |
| Urban/rural | 1.111 (0.533–2.314) | 0.779 | 0.728 (0.313–1.696) | 0.462 |
| Smoking history | 2.918 (1.364–6.241) | 0.006 | 2.237 (0.987–5.070) | 0.054 |
| Hypertension | 0.898 (0.440–1.835) | 0.769 | 0.659 (0.291–1.491) | 0.317 |
| Diabetes | 1.536 (0.641–3.680) | 0.336 | 1.823 (0.666–4.986) | 0.242 |
| BPH | 1.071 (0.294–3.899) | 0.918 | 2.348 (0.532–10.367) | 0.260 |
| Country | 3.775 (1.693–8.417) | 0.001* | 4.281 (1.690–10.844) | 0.002* |
*Significant at 95%