Since there is a lack of common family profile among BRCAI-gene carriers, a
nd since the risk of being a mutation carrier is not limited to women with
a family history of breast or ovarian cancer, multivariate statistical anal
ysis using the logistic-regression model was carried out, to discriminate b
etween sporadic cases and BRCAI-breast cancers (BRCAI-BCs), especially when
information about the family history of breast/ovarian cancer and ethnicit
y are irrelevant or unavailable, in order to offer specific medical treatme
nt to this population. We examined 32 BRCAI-BCs selected art cancer genetic
clinics and 200 consecutive controls without family history of breast canc
er for age at onset and current morphological parameters. Following the mul
tivariate analysis, 3 parameters only, namely, early age at cancer onset [o
dds ratio (OR) for each year = 1.16; p < 0.0001], estrogen-receptor negativ
ity (OR = 5.7; p = 0.01) and poor differentiation (OR = 5; p = 0.03) were f
ound significant factors for predicting BRCAI-carrier status. The expected
impact in BRCAI screening of our model was estimated using data on 5 700 br
east-cancer cases from a hospital-based registry. Only 50 and 15% of tumour
s with early age at onset below 35 years present one or the other 2 discrim
inant parameters respectively. Consequently, whereas the probability of fin
ding a BRCAI mutation is rated low (6.2%) when the sole criterion of early
onset up to the age of 35 years is used, based on our model, in the sub-gro
up of women with a tumor that is both estrogen-receptor-negative and poorly
differentiated the mutation-detection rate is predicted to be above the 10
% chance level recommended by the ASCO guidelines. This sub-group of women,
representing about 1% of all breast-cancer cases in Western countries, con
sequently deserves to be tested. Int. J. Cancer (Pred. Oncol.) 84:263-267,
1999. (C) 1999 Wiley-Liss, Inc.