EVALUATION OF BREAST-CARCINOMA CHEMOSENSITIVITY BY FLOW CYTOMETRIC DNA ANALYSIS AND COMPUTER-ASSISTED IMAGE-ANALYSIS

Citation
M. Brifford et al., EVALUATION OF BREAST-CARCINOMA CHEMOSENSITIVITY BY FLOW CYTOMETRIC DNA ANALYSIS AND COMPUTER-ASSISTED IMAGE-ANALYSIS, Cytometry, 13(3), 1992, pp. 250-258
Citations number
17
Journal title
ISSN journal
01964763
Volume
13
Issue
3
Year of publication
1992
Pages
250 - 258
Database
ISI
SICI code
0196-4763(1992)13:3<250:EOBCBF>2.0.ZU;2-X
Abstract
Flow cytometric (FCM) DNA and S-Phase (S%) analyses were compared to c omputerized image analysis (SAMBA 2005) in 27 breast carcinomas (T3, N 0-N1, M0) treated by 3 cycles of preoperative Adriamycin, vincristine, cyclophosphamide, methotrexate, 5-fluorouracil (AVCMF) chemotherapy ( CT). Twelve carcinomas had shown objective regression and 15 no regres sion. Samples studied were obtained by sequential fine-needle cytopunc tures. Comparing DNA profiles obtained by both methods before and afte r the first cycle, it appears that tumors can be divided into 3 groups . In the first group (10 cases), no changes were observed after the fi rst cycle of CT. These tumors before treatment had either single DNA p eak without cells in S% and G2M or a major peak with a small S% and G2 M peak. The second group (9 cases) showed some changes in DNA profiles with an increased G2M peak but no additional values; these tumors bef ore treatment had a small S% and a G2M peak. In the third group (8 cas es), before treatment, all were non-diploid with high S% and high G2M. After the first cycle, all showed obvious changes in DNA profiles wit h a decrease of the G0/G1 peak and an increased S% and G2M with disper sed additional values along the scale in (G2M) x 2 and (G2M) x 4 regio ns. When changes were compared to tumor regression in the 1st and 2nd groups, 1/10 and 3/9 cases, respectively, were evaluated as objective regression. In the third group, all had objective regression (p < 0.00 1). In most cases, a good correlation was observed with both methods. Nevertheless, peak position definition was better with FCM than with S AMBA, but SAMBA permits a better estimation of changes in DNA patterns induced by CT. Furthermore, SAMBA gives information on changes in oth er morphometric parameters, such as nuclear area that significantly in creased in chemosensitive cells (p = 0.003), and in chromatin textural parameters. Therefore, FCM and SAMBA give additional information on t he early effect of CT on primary tumor cells and could help to select responsive tumors.