scholarly journals DNA Aneuploidy by Flow Cytometry Is an Independent Prognostic Factor in Gastric Cancer

1998 ◽  
Vol 16 (4) ◽  
pp. 223-231 ◽  
Author(s):  
Mar Abad ◽  
Juana Ciudad ◽  
Manuel R. Rincon ◽  
Isabel Silva ◽  
José I. Paz-Bouza ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Prognostic Factors ◽  
Proliferative Activity ◽  
Dna Ploidy ◽  
Tumour Size ◽  
Clinical Stage ◽  
S Phase ◽  
Survival Prediction ◽  
Dna Index ◽  
Dna Aneuploidy

In the present study the prognostic value of both DNA ploidy and the proliferative activity of tomour cells were studied in a series of 76 consecutive patients suffering from gastric tumours. DNA ploidy and the proliferative index (as measured by the percentage of S-phase cells) were determined by flow cytometry using fresh tumour specimens.The presence of DNA aneuploid clones by flow cytometry was detected in 62% of the cases (mean DNA index of 1.63 ± 0.46; range 1.08–2.92), the mean proportion of S-phase cells being of 18.4 ± 11.5%. In comparison with diploid cases, aneuploid tumours showed a higher proliferative activity (cases with more than 15% S-phase cells: 18.4% versus 6.1%,p= 0.0001) as well as a higher incidence of node involvement (95% versus 68%,p= 0.001). By contrast, no significant differences were detected with respect to sex, age, histologic grade and type, clinical stage, tumour size and the incidence of extranodal involvement.Upon grouping the patients according to the proportion of S-phase cells no significant differences were observed for the clinical and biological parameters explored except for an association between a high percentage of S-phase cells and the presence of DNA aneuploidy (40% versus 96%,p= 0.0001). Regarding survival the presence of DNA aneuploidy was significantly associated with poor outcome as compared to the diploid cases (median of 15 versus 26 months,p= 0.005). By contrast, the proportion of S-phase cells did not predict patients’s outcome.Multivariate analysis of prognostic factors showed that the presence of DNA aneuploidy (p= 0.003) together with the histologic type (p= 0.03) and the existence of extranodal metastases (p= 0.05) were the best combination of prognostic factors for survival prediction.

scholarly journals Evaluation of Prognostic Factors Following Flow-Cytometric DNA Analysis after Cytokeratin Labelling: II. Cervical and Endometrial Cancer

2002 ◽  
Vol 24 (4-5) ◽  
pp. 147-158 ◽  
Author(s):  
Pauline Wimberger ◽  
Peter Hillemanns ◽  
Thomas Kapsner ◽  
Hermann Hepp ◽  
Rainer Kimmig
Keyword(s):  
Cervical Cancer ◽  
Endometrial Cancer ◽  
Prognostic Factors ◽  
Endometrial Carcinoma ◽  
Dna Ploidy ◽  
S Phase ◽  
Phase Fraction ◽  
Dna Aneuploidy ◽  
Flow Cytometric

In gynecologic oncology valid prognostic factors are necessary to define biologically similar subgroups for analysis of therapeutic efficacy. This study is the first published prospective study concerning prognostic significance of DNA ploidy and S‐phase fraction in cervical and endometrial cancer following enrichment of tumor cells by cytokeratin labelling. Epithelial cells were labeled by FITC‐conjugated cytokeratin antibody (CK 5, 6, 8, and CK 17) prior to flow cytometric cell cycle analysis in 91 specimens of cervical cancer and 73 samples of endometrial cancer. In cervical cancer neither DNA‐ploidy nor S‐phase fraction were relevant prognostic parameters. But CV of the G0G1‐peak showed prognostic relevance in cervical cancer cells, even in multivariate analysis. This interesting observation, however, seems to have no therapeutic consequence due to the small discrimination capacity of CV. In endometrial carcinoma, gross DNA‐aneuploidy (DNA‐index > 1.3) and a high percentage of proliferating cells (>75th percentile) were univariate and multivariate highly significant prognostic factors for recurrence‐free survival. Especially DNA‐aneuploidy (DI>1.3) is one of the most important independent molecular biological prognostic factors. While diagnostic curettage we could identify risk patients even preoperatively by determination of the prognostic factors like histologic tumor type, grading, cervical involvement and DNA‐ploidy. Thereby these patients could be treated primarily in an oncologic center. In conclusion, our investigations showed that the determination of DNA‐ploidy should be done in endometrial carcinoma. In cervical cancer no clinical significance for determination of DNA‐parameters was found.

scholarly journals Correlation of Grade of Urothelial Cell Carcinomas and DNA Histogram Features Assessed by Flow Cytometry and Automated Image Cytometry

2003 ◽  
Vol 25 (3) ◽  
pp. 147-153 ◽  
Author(s):  
Marco G. W. Bol ◽  
Jan P. A. Baak ◽  
Bianca v. Diermen ◽  
E. A. M. Janssen ◽  
Susanne B. K. Buhr-Wildhagen ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Multivariate Analyses ◽  
Dna Ploidy ◽  
Image Cytometry ◽  
S Phase ◽  
Urothelial Cell ◽  
Strongly Correlated ◽  
Dna Index ◽  
Fully Automatic ◽  
Dna Histogram

Objective: To analyse how DNA ploidy and S-phase fraction (SPF) by flow cytometry (FCM) and an optimised fully automatic DNA image cytometer (ICM) correlate with grade in TaT1 urothelial cell carcinomas (UC) of the urinary bladder.Materials and methods: Two-hundred-and twenty-eight consensus cases were analysed. Single cell suspensions were stained (DAPI for FCM, Feulgen for ICM). There was enough material for both FCMand ICMin 202 of these cases. FCMand optimised ICM measurements were performed on the 202 UCs. To discriminate between different grades, single- and multivariate analyses was performed on DNA histogram features obtained with the MultiCycle program (using DNA index (DI) and SPF). Results: Overall measurement time of the adapted ICM method was 10.7 minutes per case (range 5.9–29.8 min.) and required little additional interactive object rejection (average 152 objects (84–298) on 3000 objects per case measured, which took 9.9 minutes on average, range 8.3–15.5 minutes). The ICM histograms looked much “cleaner” with less noise than the FCM graphs. The coefficient of variation (CV) of the diploid peak for ICM(5.4%) was significantly lower than for FCM(5.9%) (p< 0.0001). ICM features were more strongly correlated to grade than FCMfeatures. In multivariate analysis, the best discriminating set of features was DNA ploidy and SPF (both by ICM).Conclusions: The adapted fully automated DNA ICM works very well for UCs. Low CV DNA ICM histograms are obtained in a time comparable to FCM. The DNA ICM results have stronger discriminative power than DNA FCM for grade in TaT1 UCs. Colour figures can be viewed onhttp://www.esacp.org/acp/2003/25-3/bol.htm.

DNA ploidy and percent S-phase as prognostic factors in node-positive breast cancer: results from patients enrolled in two prospective randomized trials.

1993 ◽  
Vol 11 (2) ◽  
pp. 351-359 ◽  
Author(s):  
T E Witzig ◽  
J N Ingle ◽  
D J Schaid ◽  
L E Wold ◽  
J F Barlow ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Flow Cytometry ◽  
Prognostic Factors ◽  
Adjuvant Chemotherapy ◽  
Dna Ploidy ◽  
Univariate Analysis ◽  
S Phase ◽  
Node Positive ◽  
Significant Difference ◽  
Positive Breast Cancer

PURPOSE AND METHODS To help clarify the clinical utility of flow-cytometric parameters, we performed flow cytometry on archival paraffin-embedded primary breast cancers from 502 patients treated on two adjuvant chemotherapy protocols performed by the North Central Cancer Treatment Group (NCCTG) and Mayo Clinic. DNA ploidy and percent S-phase (%S) were examined in univariate and Cox model multivariate analyses along with tumor size, menopausal and estrogen receptor status, Quetelet's index (QI), number of positive nodes and nodes examined, and Fisher and nuclear grades. RESULTS Ploidy analysis showed that 40% of tumors were DNA diploid and 60% were DNA nondiploid (12% tetraploid and 48% aneuploid). There was no difference in relapse-free survival (RFS) (P = .82) or overall survival (OS) (P = .78) between the ploidy groups. Tetraploid patients had the longest RFS and OS of any group, but this did not achieve statistical significance. The %S was computed in 98% of cases and the medians were 9.0% for all patients, 6.4% for diploid patients, and 11.7% for nondiploid patients (P < .0001). By use of a %S greater than 12.3 as a prognostic variable in a univariate analysis, there was a significant difference in the RFS (P = .02) and OS (P = .007) of patients with low- versus high-proliferative tumors. However, when the %S was adjusted for clinical characteristics in the multivariate analysis, it was not a significant factor for RFS (P = .23) or OS (P = .36). CONCLUSION These results indicate that DNA content and %S measurements by flow cytometry are not clinically useful independent prognostic factors in women with resected node-positive breast cancer administered adjuvant chemotherapy.

DNA-PLOIDY AND PROLIFERATIVE ACTIVITY IN UTERINE-TUMORS - AN IN-VIVO STUDY USING BROMODEOXYURIDINE AND FLOW-CYTOMETRY

1994 ◽  
Author(s):  
G FRANCHINI ◽  
A TUSEI ◽  
L BABILONTI ◽  
N DONADELLO ◽  
M FRANCHI ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Proliferative Activity ◽  
Dna Ploidy ◽  
In Vivo Study ◽  
Uterine Tumors

scholarly journals DNA ploidy and S-phase in primary malignant melanoma as prognostic factors for stage III disease

1993 ◽  
Vol 67 (1) ◽  
pp. 134-138 ◽  
Author(s):  
M Karlsson ◽  
B Boeryd ◽  
J Carstensen ◽  
B Kågedal ◽  
AT Bratel ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Malignant Melanoma ◽  
Dna Ploidy ◽  
S Phase ◽  
Stage Iii ◽  
Primary Malignant Melanoma
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