A common nonsense mutation in EphB2 is associated with prostate cancer risk in African American men with a positive family history

BACKGROUND

The EphB2 gene was recently implicated as a prostate cancer (PC) tumour suppressor gene, with somatic inactivating mutations occurring in approximately 10% of sporadic tumours. We evaluated the contribution of EphB2 to inherited PC susceptibility in African Americans (AA) by screening the gene for germline polymorphisms.

METHODS

Direct sequencing of the coding region of EphB2 was performed on 72 probands from the African American Hereditary Prostate Cancer Study (AAHPC). A case-control association analysis was then carried out using the AAHPC probands and an additional 183 cases of sporadic PC compared with 329 healthy AA male controls. In addition, we performed an ancestry adjusted association study where we adjusted for individual ancestry among all subjects, in order to rule out a spurious association due to population stratification.

RESULTS

Ten coding sequence variants were identified, including the K1019X (3055A-->T) nonsense mutation which was present in 15.3% of the AAHPC probands but only 1.7% of 231 European American (EA) control samples. We observed that the 3055A-->T mutation significantly increased risk for prostate cancer over twofold (Fisher's two sided test, p = 0.003). The T allele was significantly more common among AAHPC probands (15.3%) than among healthy AA male controls (5.2%) (odds ratio 3.31; 95% confidence interval 1.5 to 7.4; p = 0.008). The ancestry adjusted analyses confirmed the association.

CONCLUSIONS

Our data show that the K1019X mutation in the EphB2 gene differs in frequency between AA and EA, is associated with increased risk for PC in AA men with a positive family history, and may be an important genetic risk factor for prostate cancer in AA.

Autosomal dominant inheritance of prostate cancer: a confirmatory study

OBJECTIVES

To confirm, in a study of a large, independent cohort of families with prostate cancer, the findings of three segregation analyses that have suggested the existence of an inherited form of prostate cancer with an autosomal dominant inheritance mode.

METHODS

Between January 1991 and December 1993, 1199 pedigrees were ascertained through single, unrelated, prostate cancer probands who presented for radical prostatectomy at the Division of Urologic Surgery, Washington University Medical Center in St. Louis, Missouri. Maximum likelihood segregation analysis was used to test specifically for mendelian inheritance of prostate cancer.

RESULTS

Segregation analyses revealed that the familial aggregation of prostate cancer can be best explained by the autosomal dominant inheritance of a rare (q = 0.0037) high-risk allele. According to the best-fitting autosomal dominant model, 97% of all carriers will be affected by 85 years of age compared with 10% of noncarriers. Furthermore, the autosomal dominant model predicts that the high-risk allele accounts for a large proportion (65%) of all patients diagnosed with prostate cancer before 56 years of age. However, of all prostate cancer cases, a relatively small proportion is inherited (8% by 85 years old).

CONCLUSIONS

These results are in agreement with earlier reports of segregation analyses of prostate cancer and strengthen the evidence that prostate cancer is inherited in a mendelian fashion within a subset of families.

Genetic epidemiology of breast cancer: segregation analysis of 389 Icelandic pedigrees

A genetic epidemiologic investigation of breast cancer involving 389 breast cancer pedigrees including information on 14,721 individuals from the Icelandic population-based cancer registry is presented. Probands were women born in or after 1920 and reported to have breast cancer in the cancer registry. The average age of the 389 probands was 45.5 years (SD 8.92). Segregation analyses was performed evaluating residual maternal effects, a dichotomous cohort effect, and assuming the age at diagnosis followed a logistic distribution after log-transformation. Familial aggregation could be best explained by the inheritance of a high-risk allele leading to early onset breast cancer among the homozygotes, which represent approximately 2.6% of the population. A Mendelian codominant model was selected as the best fitting model, with an estimated age at diagnosis of 51.8 years among these high-risk homozygotes, 64.0 years for heterozygotes and 76.3 years for the low-risk genotype. The predicted cumulative risk for homozygote carriers of the high-risk allele is 32.2% by age 60, compared to 16.4% for heterozygotes and 5.0% for non-carriers of the same age. These predicted age profiles in the current study complement recent reports from Iceland of a majority of BRCA2 mutation carriers being diagnosed with breast cancer below the age of 50 years, and 60 years being the mean age at diagnosis for non-carriers. This model also predicted a high background risk of breast cancer for women in this population (estimated susceptibility gamma = 0.44 +/- 0.08). This implies that if carriers and non-carriers did not die of competing causes, the estimated risk of being diagnosed with breast cancer by age 80 years irrespective of carrier status is 11.4%.