title: Quantitative DNA analysis and proliferation in breast carcinomas. A comparison between image analysis and flow cytometry.
abstract: The DNA content and proliferation in 100 invasive breast carcinomas were evaluated by computerized image analysis (IA) and flow cytometry (FCM). For DNA content, image analysis of Feulgen-stained slides of fresh tumor imprints were compared with flow cytometry of propidium iodide-stained disaggregated fresh tumor tissue. The DNA indices obtained by the two methods showed close correlation by linear regression analysis (r = 0.89, p less than .001). There were 44 (44%) diploid and 56 (56%) aneuploid tumors. There was agreement between the two methods in detection of aneuploidy in 81% of tumors. Image analysis required smaller tissue samples, permitted direct visualization and selection of tumor cells, and was more sensitive in detecting tetraploid and highly aneuploid cell populations. In contrast, flow cytometry histograms provided better resolution, and were more effective in detecting multiploid tumors and near-diploid aneuploid tumors. Aneuploidy was significantly related to various adverse prognostic parameters, namely, negative estrogen receptor, high mitotic rate, high histologic and nuclear grades. Proliferation was evaluated by measuring the FCM S phase fraction (SPF), and by image analysis quantitation of immunohistochemical staining using Ki-67 monoclonal antibody. SPF and Ki-67 count showed modest correlation (r = 0.42). Both SPF and Ki-67 count were significantly related to the mitotic rate, histologic and nuclear grades. Our results indicate that the two methods provide comparable results, but offer individual advantages and are complementary techniques in analyzing DNA ploidy and proliferation in breast carcinomas.
authors.affiliation: Department of Anatomic Pathology, Lahey Clinic Medical Center, Burlington, Massachusetts.
authors.forename: A K
authors.initials: AK
authors.lastname: Lee
authors.forename: B
authors.initials: B
authors.lastname: Wiley
authors.forename: J M
authors.initials: JM
authors.lastname: Dugan
authors.forename: W H
authors.initials: WH
authors.lastname: Hamilton
authors.forename: M
authors.initials: M
authors.lastname: Loda
authors.forename: G J
authors.initials: GJ
authors.lastname: Heatley
authors.forename: L
authors.initials: L
authors.lastname: Cook
authors.forename: M L
authors.initials: ML
authors.lastname: Silverman
mesh_terms: D002288:Adenocarcinoma, Mucinous / Q000453:epidemiology / Q000235:genetics / Q000473:pathology; D000782:Aneuploidy; D000911:Antibodies, Monoclonal; D001943:Breast Neoplasms / Q000453:epidemiology / Q000235:genetics / Q000473:pathology*; D002277:Carcinoma / Q000453:epidemiology / Q000235:genetics / Q000473:pathology*; D002285:Carcinoma, Intraductal, Noninfiltrating / Q000453:epidemiology / Q000235:genetics / Q000473:pathology; D002455:Cell Division; D004273:DNA, Neoplasm / Q000032:analysis* / Q000235:genetics; D005434:Flow Cytometry / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007150:Immunohistochemistry; D011446:Prospective Studies; D012044:Regression Analysis
chemical_list: D000911:Antibodies, Monoclonal; D004273:DNA, Neoplasm