Ploidy pattern and cell cycle in breast cancer as detected by image analysis and flow cytometry

Abstract

Both image analysis (IA) and flow cytometry (FCM) may be applied to detect ploidy pattern and cell cycle fractions. However, they have different performance characteristics and may yield different results. The two approaches are applied in this study to 66 breast cancers: IA on imprints and FCM on fresh tissue. The percent coefficient of variation (CV) ranged from 2.0 to 7.0 (mean 5.5; SD 1.1) in IA and from 2.0 to 7.0 (mean 4.4; SD 1.1) in FCM. The values were well correlated. With regard to ploidy pattern, the agreement between the two methods was 92.4%; disagreements were due to four cases being aneuploid by IA but not detected by FCM and one case being aneuploid by IA but tetraploid by FCM. This suggests that IA is capable of detecting aneuploidy with more sensitivity than FCM. In diploid cases, the percent values of cells in G0/G1, S-phase (SPF), and G2M phase were concordant and well correlated. In aneuploid cases, IA was more sensitive than FCM in detecting aneuploid fraction as well as G2M phase, whereas FCM was more sensitive than IA in detecting SPF. A good correlation was found between the DNA indexes (DIs) obtained with the two methods.