BIOLOGIC SIGNIFICANCE OF QUANTITATIVE ESTROGEN-RECEPTOR IMMUNOHISTOCHEMICAL ASSAY BY IMAGE-ANALYSIS IN BREAST-CANCER

Citation
Jm. Esteban et al., BIOLOGIC SIGNIFICANCE OF QUANTITATIVE ESTROGEN-RECEPTOR IMMUNOHISTOCHEMICAL ASSAY BY IMAGE-ANALYSIS IN BREAST-CANCER, American journal of clinical pathology, 102(2), 1994, pp. 158-162
Citations number
34
Categorie Soggetti
Pathology
ISSN journal
00029173
Volume
102
Issue
2
Year of publication
1994
Pages
158 - 162
Database
ISI
SICI code
0002-9173(1994)102:2<158:BSOQEI>2.0.ZU;2-X
Abstract
The authors assayed 209 stage I and II mammary carcinomas for the estr ogen receptor (ER) with an immunocytochemical assay (ICA) and quantita ted the nuclear stain with the SAMBA 4000 Cell Image Analysis System ( Imaging Products International, Inc., Chantilly, VA). The cases had be en followed for 54-214 months (average, 64 months). The results were c orrelated with the patients' overall and disease-free survival times. Three of the parameters obtained from the quantitative analysis were e valuated: labeling index, mean optical density, and quick score. Stati stical analysis was performed with the Kaplan-Meier product limit esti mator for quantitated values and Cox regression for risk of mortality and disease progression. Mean optical density of the nuclei at a cut-o ff value of 10 produced the strongest association between quantitative ERICA and overall and disease-free survival times in discriminating h igh- and low-risk groups (P = .016 and P = .018, respectively). When t he mean optical density results were categorized into ranges of values of potential biologic significance according to overall survival time s, patients with mean optical density greater than 15 were found to be at lowest risk; patients with values between 5 and 15 had a statistic ally significant intermediate risk; and the group with values less tha n 5 had the worst outcome (P = .018). The probability of disease-free survival also was statistically significant (P = .038) among the three groups with cut-off points of less than 10, 10-35, and greater than 3 5. These results showed that quantified optical density has better dis criminating power for risk prediction than that obtained by the bioche mical assay for ER at a cut-off value of 10 or 20 fmol/mg. Estrogen re ceptor ICA has been adequately shown to be as or more accurate than li gand-binding assays. Our results corroborate those studies and support the utility of ICA assays for ER by showing that quantitation perform ed by image analysis is an objective and reproducible method yielding clinical prognostic information of higher reliability than that given by the dextran-coated charcoal ER assay.