Convention on nomenclature for DNA cytometry

Hiddemann, Wolfgang; Schümann, J.; Andreef, Michael; Barlogie, Barthel; Herman, Chester J.; Leif, Robert C.; Mayall, Brian H.; Murphy, Robert F.; Sandberg, Avery A.

doi:10.1016/0165-4608(84)90059-1

Cited by 273 publications

(135 citation statements)

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“…Thus, nondiploid peaks can include skewed or split DNA diploid G1 peaks. Conventional guidelines (38,43) on the acceptability of modeling aneuploid distributions had to be largely ignored in order to objectively evaluate many of the reclassification criteria. By not prejudging the data during the modeling process, clearly defined optimums were possible without interactions with some rather subjective guidelines.…”

Section: Model Selection and Range Placement Rulesmentioning

confidence: 99%

“…With aggressive modeling (for details, see Materials and Methods and Discussion), no prognostic significance for any type of DNA ploidy was observed except for DNA hypodiploids, P ϭ 0.05. A more traditional and conservative approach to modeling (39,43) demonstrated DNA ploidy to be modestly significant, P ϭ 0.02, but highly correlated with S-phase, r ϭ 0.27.…”

Section: Dna Ploidy Reclassification Adjustmentsmentioning

confidence: 99%

“…DNA aneuploidy includes the requirement that two distinct peaks are present in the histogram." (38,43). The obvious problem with this definition is the exact operational definition of "distinct."…”

Section: Sa2mentioning

confidence: 99%

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Optimizing flow cytometric DNA ploidy and S‐phase fraction as independent prognostic markers for node‐negative breast cancer specimens

Bagwell¹,

Spyratos

et al. 2001

Cytometry

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Developing a reliable and quantitative assessment of the potential virulence of a malignancy has been a long-standing goal in clinical cytometry. DNA histogram analysis provides valuable information on the cycling activity of a tumor population through S-phase estimates; it also identifies nondiploid populations, a possible indicator of genetic instability and subsequent predisposition to metastasis. Because of conflicting studies in the literature, the clinical relevance of both of these potential prognostic markers has been questioned for the management of breast cancer patients. The purposes of this study are to present a set of 10 adjustments derived from a single large study that optimizes the prognostic strength of both DNA ploidy and S-phase and to test the validity of this approach on two other large multicenter studies. Ten adjustments to both DNA ploidy and S-phase were developed from a single node-negative breast cancer database from Baylor College (n ‫؍‬ 961 cases). Seven of the adjustments were used to reclassify histograms into low-risk and high-risk ploidy patterns based on aneuploid fraction and DNA index optimum thresholds resulting in prognostic P values changing from little (P < 0.02) or no significance to P < 0.000005. Other databases from Sweden (n ‫؍‬ 210 cases) and France (n ‫؍‬ 220 cases) demonstrated similar improvement of DNA ploidy prognostic significance, P < 0.02 to P < 0.0009 and P < 0.12 to P < 0.002, respectively. Three other adjustments were applied to diploid and aneuploid S-phases. These adjustments eliminated a spurious correlation between DNA ploidy and S-phase and enabled them to combine independently into a powerful prognostic model capable of stratifying patients into low, intermediate, and high-risk groups (P < 0.000005). When the Baylor prognostic model was applied to the Sweden and French databases, similar significant patient stratifications were observed (P < 0.0003 and P < 0.00001, respectively). The successful transference of the Baylor prognostic model to other studies suggests that the proposed adjustments may play an important role in standardizing this test and provide valuable prognostic information to those involved in the management of breast cancer patients. Cytometry (Comm. Clin. Cytometry) 46: 121-135, 2001.

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Section: Model Selection and Range Placement Rulesmentioning

confidence: 99%

Section: Dna Ploidy Reclassification Adjustmentsmentioning

confidence: 99%

See 1 more Smart Citation

Optimizing flow cytometric DNA ploidy and S‐phase fraction as independent prognostic markers for node‐negative breast cancer specimens

Bagwell¹,

Spyratos

et al. 2001

Cytometry

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“…Tumor ploidy was determined by the ratio of the mean peak values for the sample and the internal reference, according to international conventions. 18 Twenty cases were not used for our study because of the scarcity of the material or because the coefficient of variation (CV) was not acceptable in repeated analyses.…”

Section: Analysis Of Dna Contentmentioning

confidence: 99%

Cyclin D1 expression in papillary superficial bladder cancer: Its association with other cell cycle‐associated proteins, cell proliferation and clinical outcome

Sgambato

Migaldi

Faraglia

et al. 2001

Intl Journal of Cancer

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Cyclin D1 contributes to regulate G1 progression by forming a complex with different cyclin-dependent kinases. It has oncogenic properties and is frequently overexpressed in several human tumor types. In our study, expression of cyclin D1 and Ki67, a proliferation marker, was evaluated by immunohistochemistry in human papillary superficial (pTa-pT1) bladder cancers and was correlated with p27 Kip1 , p21 Waf1 and c-erbB-2 expression, with p53 gene status and protein expression, ploidy and cancer progression. Cyclin D1 expression was neither associated with tumor stage nor with tumor grade but high cyclin D1 expression (>25% positive nuclei) was significantly associated with p53 gene mutation (p ‫؍‬ 0.012), low p21 Waf1 (p ‫؍‬ 0.015) and high p27 Kip1 (p ‫؍‬ 0.016) protein expression. Ki67 expression was not associated with tumor stage but a high proliferation index (>10% positive nuclei) was significantly associated with high tumor grade (p ‫؍‬ 0.001) and with DNA aneuploidy (p ‫؍‬ 0.005). There was no significant difference in proliferative activity between high and low cyclin D1 expressor tumors. Patients whose tumors showed high expression of cyclin D1 displayed a significantly longer disease-free survival (p < 0.001 by log-rank test). Increased Ki67 expression was significantly associated with shorter disease-free survival (p ‫؍‬ 0.003). Both cyclin D1 (p ‫؍‬ 0.027; RR ‫؍‬ 1.898) and Ki67 (p ‫؍‬ 0.047; RR ‫؍‬ 1.932) protein expressions were independent predictors of reduced diseasefree survival on a multivariate analysis that also included p27 Kip1 expression and tumor stage. The simultaneous presence of low cyclin D1, low p27 Kip1 and high Ki67 expression defined a "high-risk" group of patients who displayed a significantly increased risk of recurrence (p < 0.0001). These results suggest that evaluation of cell cycle-associated markers can help to identify high-risk patients and may affect the management of patients with papillary superficial bladder cancer.

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“…The coefficient of variation of the DNA diploid cell peak, the percentage cells in, respectively, the GOIG1, S, and G2/M phase of the cell cycle and the DNA index were assessed [16]. As it was impossible to use dye exclusion tests to assess the amount of cell loss in the fixed and cryopreserved suspensions [ 113, we estimated the percentage of intact single cells by using gating procedures.…”

Section: Antibodiesmentioning

confidence: 99%

Comparative evaluation of fresh, fixed, and cryopreserved solid tumor cells for reliable flow cytometry of DNA and tumor associated antigen

et al. 1992

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Five different protocols for the shortterm preservation of cells used for multiparameter flow cytometric assay of tumour associated antigens (TAA) and DNA were assessed in cell suspensions prepared by mechanical disaggregation of 15 gynecological tumors. The protocols at 4°C were 1) storage in buffer, 2) storage in 50% methanol, and 3) storage in buffer after formalin fixation. Tissues were also cryopreserved as cell suspensions and tissue blocks. When the TAA expression and DNA histograms of the preserved cells were compared with those in fresh cell suspensions, cryopreservation was found to be the best method TAA expression was well preserved and there was a good correlation between TAA expression and the quality of the DNA histograms, respectively, in fresh and cryopreserved cells (RS: 0.82. 0.91, P

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Convention on nomenclature for DNA cytometry

Cited by 273 publications

References 0 publications

Optimizing flow cytometric DNA ploidy and S‐phase fraction as independent prognostic markers for node‐negative breast cancer specimens

Optimizing flow cytometric DNA ploidy and S‐phase fraction as independent prognostic markers for node‐negative breast cancer specimens

Cyclin D1 expression in papillary superficial bladder cancer: Its association with other cell cycle‐associated proteins, cell proliferation and clinical outcome

Comparative evaluation of fresh, fixed, and cryopreserved solid tumor cells for reliable flow cytometry of DNA and tumor associated antigen

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