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Background: The aims of the present work were to study the prognostic impact of multiploidy and/or hypoploidy in breast cancers and their relation to other classic clinicopathologic prognostic factors (T, grade, receptors, and lymph node status)., Methods: From 3 January 1990 to 7 January 1999, 1984 previously untreated, invasive breast carcinoma samples were snap frozen for flow-cytometry., Results: Multiploid tumors had the same prognosis as the aneuploid ones, and those with one hypoploid peak had a better prognosis than did the other aneuploid tumors. However, the presence of both multiploid and hypoploid peaks was correlated with a poor outcome, even after multivariate analysis. In this series after quality control, 93.4% of the histograms could be evaluated concerning ploidy; of these 81.6% could be assessed concerning S-phase fraction (SPF) in the entire population and 77.1% in the multiploid population. In the entire population, we performed a multivariate analysis including all relevant prognostic factors remaining after monovariate analysis by using a compound factor (proliferative activity) regrouping SPF and mitotic activity. This analysis showed that lymph node status and proliferative activity correlates with every type of survival, whereas receptor status correlates with all types of survival except recurrence free survival size, correlated with non-metastasis and overall survival. Grade and age correlated only with overall survival and vascular permeations only with disease-free survival., Conclusions: SPF is a valuable predictor of survival, can be confidently assessed in multiploid histograms, and thus improves the yield of flow cytometry. When combined with mitotic activity, the prognostic impact of SPF is the same as that of lymph node status. Tumors that are hypoploid and multiploid have a significantly worse prognosis., (Copyright 2003 Wiley-Liss, Inc.)

Background: Between January 11, 1991 and January 8, 1992, 104 patients with previously untreated, invasive, primitive breast carcinoma were admitted to the authors' hospital., Methods: For each patient, flow cytometry DNA analyses on frozen samples and on immunohistochemical staining were performed, including Ki-67, cyclin A, p53, and p21(waf1) (p21), with assessment of the percentages of positive nuclei were assessed. Correlations with classic clinicopathologic data and survival (overall, metastasis free, or recurrence free) and a multivariate analysis were performed., Results: After a multivariate analysis according to a Cox model that was stratified by age, tumor size, tumor grade, lymph node status, and receptor status, among the factors studied, the presence of p21 was the unique remaining prognostic factor for patients with invasive breast carcinoma. Because of the lack of a correlation between p21 and proliferative factors (Ki-67, S-phase, and cyclin A), the authors combined p21 with those markers and found that, for the different combinations, after statistical analysis, only p21 combined with S-phase or with cyclin A and lymph node status were salient survival prognostic factors., Conclusions: Immunohistochemical study of proteins involved in the cell cycle and assessment of proliferative activity using flow cytometric DNA analysis aided the authors in singling out correlations of cyclin A and S-phase, along with p21, with metastasis free survival and overall survival in patients with invasive breast carcinoma. These promising results will require confirmation in a larger series of patients., (Copyright 2003 American Cancer Society.DOI 10.1002/cncr.11209)

Background: The clinical relevance of DNA image cytometry (ICM) and flow cytometry (FCM) remains under investigation in breast carcinoma. The objective of the current work was to study the prognostic value of DNA ICM and FCM in a series of patients randomized in a control trial. A multivariate analysis has been performed including other factors still under investigation such as Ki-67 index, mitotic count, microvessel density, and P53 and Bcl-2 expression., Methods: Two hundred and eighty-one patients were randomized in the European Organization for Research and Treatment of Cancer 10854 trial comparing surgery followed by one course of perioperative chemotherapy versus surgery alone. Tumor parameters studied were pT, multicentricity, tumor grading according to modified Scarff-Bloom-Richardson, estrogen receptors, mitotic count per 1.7 mm(2), MIB-1, and BCL-2 scores, microvessel density, and p53 expression. ICM DNA parameters studied from paraffin embedded specimens, were DNA ploidy, proliferative index, 2c deviation index, malignancy grade, and Auer-Baldetorp typing. FCM DNA parameters analyzed on the same samples were ploidy and S-phase fraction statistics. The influence of tumor parameters, and DNA parameters on overall survival (OS), disease free survival (DFS), and metastasis-free survival (MFS) was evaluated using the Cox model. Median follow-up was 82 months., Results: For OS, the prognostic parameters retained were pathologic tumor size (pT) and mitotic index (MI). Overall survival was 94% and 68% for tumors pT1/MI less than 10 and pT2-3 MI greater than or equal to 10, respectively. For DFS, age, multicentricity, and grading according to modified Scarff and Bloom were predicting factors with the same relative risk. Disease free survival was 96%, 78% and 68% respectively, when 1, 2, or 3 of those factors were present. For MFS, the only retained predicting factor was MI. MFS was 97% and 73% when MI was less than 10 and MI was greater than or equal to 10, respectively., Conclusions: Evaluation of proliferative compartment was the most important predicting factor for OS and MFS in the current series of premenopausal lymph node negative patients with breast invasive carcinoma. When working on paraffin embedded tissue, the best way of assessing it was MI count. ICM DNA analysis results were not selected in multivariate analysis. DNA analysis by FCM should be considered as an unsuitable technique when working on paraffin embedded tissue., (Copyright 2000 American Cancer Society.)

From 1990 to 1996, 607 previously untreated, node-negative, invasive breast carcinomas were sampled by a pathologist for flow-cytometric DNA analysis. The aim of the present work was to study the correlations between flow cytometric results obtained thanks to the American Consensus (AC) guidelines of 1993 and the established clinico-pathological prognostic factors (T, grade, receptors), and despite a short global follow-up (mean of 4 years), to correlate flow cytometry with the outcome of the patients. In this study S-phase fraction (SPF) correlated strongly with tumor size, histological grade, lack of steroid receptors, histological type and was together with the mitotic activity a paramount prognostic factor even after multivariate analysis. This study compared also the technical criteria proposed by the AC with our own more stringent ones and concluded that the criteria of the AC are relevant and allow, thanks to the use of tertiles in the reporting of SPF values, a comparison of values obtained by different teams. Our review of the literature, focused on series using fresh material, enabled us to show that there is a rather wide agreement concerning the relationship between SPF and prognosis most often after multivariate analysis. This despite the lack of standardization in the design of the studies (implementation of the technical steps or reporting of results). When estimated from fresh or frozen material following AC's guidelines. SPF along with mitotic activity should become a prognostic factor used in the daily practice by oncologists in the management of breast carcinomas.

From 1990-1996, 1,485 previously untreated invasive breast carcinomas were sampled by a pathologist for flow cytometric DNA analysis. The aim of the present work was to study the variations of flow cytometric DNA ploidy and S-phase evaluation according to the conditions of DNA histogram interpretation. Results obtained with the American Consensus guidelines of 1993 and the François Baclesse Department of Pathology's own guidelines are presented. According to the percentage of events taken into account to identify a DNA aneuploid peak, the proportion of DNA diploid cases can change from 35-39%. For S-phase evaluation, although the two guidelines were quite different, the results of S-phase cutoff were identical. Whichever guidelines were used, there was a strong relationship between DNA ploidy and/or S-phase and classical clinicopathological factors (T, N, histological type, grade, receptor status, or lymphatic invasion), with the exception of age, whose correlation was discrepant with S phase according to the set of guidelines. Whichever guidelines were used, ploidy and S phase correlated strongly with survival (overall, metastasis-free, or recurrence-free). Hence we recommend the use of the American consensus guidelines, despite minor imperfections, because they are now well-known, allow a high yield in the ratio of assessable S phases, and permit standardization in the technical processing and reporting of S phases, thanks to the use of terciles., (Copyright 2000 Wiley-Liss, Inc.)

Background: Image cytometry has proved to provide a good alternative to flow cytometry for DNA ploidy measurement of archival tumors. However, when interactively done this technique is unable to give statistically valuable results within an acceptable time for clinical oncology., Methods: An image cytometer was developed for fully automatic DNA ploidy quantitation, focusing efforts on speed and accuracy. Software functionalities include systematic acquisition of fields on a microscopic slide, detection, localization and sorting of nuclei, computation of the DNA content together with post-processing tools, for a deeper analysis of the DNA ploidy diagram., Results: DNA ploidy analysis of archival breast carcinoma samples illustrates the accuracy of DNA ploidy measurements and the sensitivity in the detection of DNA ploidy abnormalities as a result of cell sorting., Conclusions: Fully automatic image cytometry is able to combine qualities of flow cytometry (automatic analysis of a statistically significant collection of cell nuclei) with additional advantages: sorting of unwanted events (debris, stromal and inflammatory cell nuclei) and facilities for an a posteriori control of the quality of cell selection. This method is well suited to DNA ploidy analysis of archival cancer samples., (Copyright 1999 Wiley-Liss, Inc.)