title: Prognostic value of morphometry in patients with normal breast tissue or usual ductal hyperplasia of the breast.
abstract: Women with usual ductal hyperplasia have a relative risk of 1.6-1.9 of subsequent breast cancer development. This slightly increased risk is generally not considered sufficiently high to justify (chemo)preventive therapy. It is therefore important to identify high-risk ductal hyperplastic lesions that would benefit from such a treatment. Nuclear morphometric features have been shown in previous work to be useful for objectively describing morphologic features associated with high risk in (pre)invasive breast lesions. The aim of this study was to evaluate whether such morphometric features can also predict subsequent invasive cancer development in patients with the common pattern of usual ductal hyperplasia or a normal breast biopsy. The present case-control study included 423 women with normal breast biopsies (n = 89) or biopsies containing usual ductal hyperplasia (n = 334). Of these 423 women, 132 developed invasive breast cancer during follow-up (mean 16.7 +/- 7.0 years). On the original hematoxylin and eosin-stained sections, nuclear morphometry was performed with a digitizing video overlay system, and mitotic and apoptotic indices were assessed. Patients with mean nuclear feature values for area, perimeter, diameter or longest axis above the 75th percentile had 1.6-1.7 times the breast cancer risk of women with mean nuclear feature values below this value. Pairwise combinations of these features yielded slightly higher cancer risks for the fourth quartile patients, with the highest risk (1.9) for patients with SD of nuclear area and perimeter values above the 75th percentile. The number of apoptotic or mitotic cells had no prognostic value for patients with apparently normal tissue or usual ductal hyperplasia. Our results give a first indication that normal breast tissue or usual ductal hyperplasia harbor nuclear morphologic changes that, when assessed by morphometry, may be used to predict breast cancer development. It is worthwhile studying this further in independent groups of patients with long-term follow-up.
authors.affiliation: Department of Pathology, Free University Hospital, 1007 MB Amsterdam, The Netherlands.
authors.forename: E C
authors.initials: EC
authors.lastname: Mommers
authors.forename: D L
authors.initials: DL
authors.lastname: Page
authors.forename: W D
authors.initials: WD
authors.lastname: Dupont
authors.forename: P
authors.initials: P
authors.lastname: Schuyler
authors.forename: A M
authors.initials: AM
authors.lastname: Leonhart
authors.forename: J P
authors.initials: JP
authors.lastname: Baak
authors.forename: C J
authors.initials: CJ
authors.lastname: Meijer
authors.forename: P J
authors.initials: PJ
authors.lastname: van Diest
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D017209:Apoptosis / Q000502:physiology; D001706:Biopsy; D001940:Breast / Q000033:anatomy & histology* / Q000166:cytology / Q000473:pathology; D001943:Breast Neoplasms / Q000453:epidemiology / Q000473:pathology; D002455:Cell Division / Q000502:physiology; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D006965:Hyperplasia / Q000473:pathology; D008875:Middle Aged; D011237:Predictive Value of Tests; D011379:Prognosis