Table 3.
Estimated lifetime risk for breast cancer < 0.2 (n = 633) | Estimated lifetime risk for breast cancer ≥ 0.2 (n = 55) | Phenotype of breast cancer predisposition syndrome (n = 214) | p | |
Number of BC cases in family* | 0.98 ± 0.67 | 1.45 ± 0.83 | 1.69 ± 1.14 | < 0.001 |
Number of BC-affected generations* | 0.92 ± 0.54 | 1.24 ± 0.55 | 1.29 ± 0.64 | < 0.001 |
Average age (yr) at BC diagnosis in the family | 46.6 ± 10.6 | 47.0 ± 11.4 | 46.6 ± 11.2 | 0.968 |
ELTR for BC | ||||
Using the Gail model** | 10.2 ± 4.1 | 19.2 ± 5.1 | 12.3 ± 6.6 | < 0.001 |
Using the Claus model* | 10.2 ± 2.8 | 16.7 ± 7.8 | 13.9 ± 7.4 | < 0.001 |
Using the Tyrer-Cuzick model** | 9.8 ± 3.7 | 19.6 ± 6.2 | 12.4 ± 5.6 | < 0.001 |
Prior probability of mutation in a BRCA gene | ||||
Mutation prevalence tables*** | 6.3 ± 3.8 | 6.7 ± 3.9 | 13.2 ± 13.0 | < 0.001 |
Modified Couch model*** | 9.7 ± 4.3 | 10.3 ± 5.0 | 14.8 ± 10.6 | < 0.001 |
The values are the mean ± SD. BC = breast cancer, BCPS = breast cancer predisposition syndrome, ELTR = estimated lifetime risk.
*The mean value of the group with a slightly increased risk was significantly lower than that of the other two groups.
**The mean values in all three groups differed significantly from each other.
***The mean value of the group that had criteria for breast cancer predisposition syndrome was significantly greater than that of the other two groups.
Note: The number of valid cases used in each of the ELTR and prior probability analyses was 878, 592 and 874 for the Gail, Claus and Tyrer-Cuzick models, respectively. For the mutation prevalence tables and the modified Couch model, 890 and 874 valid cases were used, respectively.