Quantitative image analysis of estrogen and progesterone receptors as a prognostic tool for selecting breast cancer patients for therapy.

Objective: To assess estrogen and progesterone receptor presence in human breast tumors using immunocytochemical analysis.

Study Design: For both estrogen (ER) and progesterone (PR) receptor assay, percent of stained cells and intensity of staining were estimated on a series of 251 consecutive breast cancer cases from the M. Ascoli Cancer Hospital Center in Palermo using the CAS 200 image analysis system.

Results: Cytochemical assay revealed a differential distribution of both ER and PR, by menopausal status of the patients; premenopause (PreM) was mostly ER negative (63%), and postmenopause (PostM) > 10 years was mostly ER and PR positive (64%). The percent of cells stained for ER was significantly different between PreM and PostM patients when they were considered as a whole. By contrast, no difference emerged for PR staining among menopausal groups. Overall, patients whose tumors were PR positive showed a significantly (P < .03) longer interval free of relapse.

Conclusion: The present results suggest that PRs behave as better indicators than ERs of early relapse in breast cancer patients. Further studies, with longer follow-up, are needed, however, to validate this concept.