A count-dependent filter for smoothing flow cytometric histograms

An adaptive count-dependent algorithm for smoothing statistically limited histograms has been developed. It considers both the spatial frequency limitations of the measurement system (described by the measurement system point spread function) and the reliability of the measured data (indicated by the effective number of counts influencing each channel of the histogram. Windows for smoothing flow cytometric histograms are derived from an assumed Gaussian-shaped point spread function (PSF) with a constant coefficient of variation. The windows are developed by scaling the variances of the Gaussian functions inversely with the statistical reliability of the data contained in each channel of the measured histogram. The reliability of this data is determined by taking the square root of the number of counts influencing the value tabulated for each channel. Using the algorithm, a smoothed version of the measured histogram may be developed from a linear sum of the products of the individual scaled Gaussian functions and the original measured histogram. Data are presented demonstrating the advantages of count-dependent smoothing over non-count-dependent smoothing using synthesized DNA histograms as a function of sample size.     

Different opinions on classification of DNA histograms produced from paraffin-embedded tissue

Flow cytometric DNA ploidy determination has been regarded as an objective prognostic parameter in several types of human cancer. To test whether DNA histograms are similarly interpreted, a series of flow cytometric DNA histograms was posted to six investigators working in the field for independent classification. The histograms were produced from paraffin-embedded adrenal adenomas or non-neoplastic tissue and had several different patterns. Only 44% of the histograms were similarly classified by all investigators, and 85% by five of the six participants, when DNA ploidy was evaluated. Different criteria for tetraploidy existed, and also some uncertainty in classifying peridiploid and small aneuploid peaks. It is concluded that lack of consensus on histogram classification may result in widely varying percentages of DNA aneuploid tumors found even if the data are similar. Until general agreement is reached on the definition of DNA aneuploidy and its subclasses, classification of DNA histograms is variable and subjective.     

Flow cytometric bivariate analysis of DNA and cytokeratin in colorectal cancer.

Different opinions about flow cytometric estimates of DNA aneuploidy and/or S-phase fraction (SPF) as supplementary prognostic markers in colorectal cancer are to some degree associated with methodology. Using univariate DNA analysis, we have previously investigated the DNA ploidy in colorectal cancer, its heterogeneity within and between tumors and its relation to survival. To improve detection of DNA aneuploid subpopulations and particularly estimation of their SPF's we investigated a method for bivariate DNA/cytokeratin analysis on fine-needle aspirates of 728 frozen biopsies from 157 colorectal tumors. Unfixed aspirates were stained with propidium iodide and FITC-conjugated anti-cytokeratin antibody in a saponin-buffer. A significant association between SPF and debris was observed. There were no substantial difference in DNA ploidy patterns between univariate and bivariate measurements (concordance was 92-95%). No new DNA aneuploid subpopulations were detected in cytokeratin-gated compared to ungated or univariate histograms. Debris-adjusted SPF's of cytokeratin-gated histograms were significantly higher than of ungated histograms, also for subpopulations with DI>1.4 (p<0.0001). There was no significant association between SPF and survival.     

The resolution of aneuploid DNA stem lines by flow cytometry: limitations imposed by the coefficient of variation and the percentage of aneuploid nuclei

Factors important in the resolution of cell sub-populations with differing DNA contents were investigated using an EPICS C flow cytometer. Software is available for the EPICS C which permits data from any two histograms to be superimposed or added together before display. Samples of fresh and archival thyroid tissue, stained with propidium iodide, were analysed on the flow cytometer and the peak channel number noted. The photomultiplier (PMT) voltage was increased and the sample analysed again producing a second histogram with a higher peak channel number. The two histograms were added together to simulate a cell suspension with two sub-populations with a different DNA content. By systematically altering the PMT voltage and the number of nuclei included in each analysis, it was possible to examine the importance of DNA index and the percentage of tumor cells with an aneuploid DNA content for both fresh and paraffin-embedded thyroid nuclei. The crucial importance of achieving a low coefficient of variation (CV) was demonstrated and consequently the reservations that pertain when archival material is studied, particularly in tumours where DNA aneuploidy is frequently expressed with a low DNA index.     

DNA flow cytometry in sperm cells from unilaterally orchiectomized patients with testicular cancer before further treatment

Light microscopic sperm cell analysis and DNA flow cytometry in the seminal fluid were done in 85 testicular cancer patients after orchiectomy before further treatment. The results were compared with those from 26 healthy age-matched males (control group). A computer-based method for analysis of the DNA histograms was developed for evaluation of the percentage of sperm cells within the sub-haploid, haploid (1c), and diploid (2c) and greater than 2c levels. Compared with the control group, testicular cancer patients had a reduced sperm cell density and sperm cell motility. The mobility grade was also significantly reduced as compared with healthy males. In addition, the number of condensed haploid sperm cells (within the subhaploid level) was decreased in testicular cancer patients, whereas the percentages of noncondensed haploid (1c), diploid, and greater than 2c cells were increased. Most of the DNA flow cytometric parameters were significantly correlated with sperm cell density. DNA flow cytometry in human seminal fluid offers a possible means of assessing spermatogenesis, thus providing an objective method for studying fertility disturbances, for example, in cancer patients before and after treatment.     

Monoparametric models of flow cytometric karyotypes with spreadsheet software

Summary Theoretical flow karyotypes from both plant and mammalian species have been simply modelled using computer spreadsheet software. The models are based upon published values of relative DNA content or relative lengths of each of the chromosomes. From such data, the histograms of chromosome distribution have been simulated for both linear and logarithmic modules of a flow cytometer, and as a function of the coefficient of variation. Simulated and experimental histograms are compard for Nicotiana plumbaginifolia. This readily accessible exercise facilitates the planning and execution of flow cytometric analysis and sorting of chromosomes.     

A method to average immunofluorescent histograms

Single parameter gated flow cytometric fluorescent histograms were obtained on normal donor blood mononuclear cells using several commonly available lymphocyte surface markers. A computer method was developed to average single parameter flow cytometric immunofluorescent histograms. The averaged histograms provide a means of pattern recognition for normal lymphocytes and will aid in the clinical evaluation of lymphocytosis. Averaged histograms may also serve as standards for more advanced analysis.     

Variation of flow cytometric DNA measurement in 1,485 primary breast carcinomas according to guidelines for DNA histogram interpretation

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 Fran?ois 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.     

Spectral analysis of flow cytometric data: design of a special-purpose low-pass digital filter

Spectral decomposition of flow cytometric datafiles of arbitrary dimension reveal information of both the signal and the noise components that constitute the histograms. This spectral information is used to construct a low-pass digital filter, which removes the high-frequency noise from the actual data. It is shown that this procedure guarantees non-trivial smoothing of the flow cytometric data in accordance with the local experimental situation. As a consequence optimal reconstruction of the signal is possible, which facilitates unambiguous interpretation of the data files and mathematical estimation of the statistical parameters.     

Effect of drug efflux blockers on vital staining of cellular DNA with Hoechst 33342

The present study shows that staining of certain live cells, e.g., adriamycin-resistant P388 cells, by Hoechst 33342 is difficult because of the presence of a rapid efflux pump, which reduces intracellular dye concentration. Coincubation of these refractory cells in the presence of efflux blockers such as phenothiazines (trifluoperazine) or Ca++ channel blockers (verapamil) enhances dye retention and thus leads to generation of normal DNA distribution histograms. Laser flow cytometric data is confirmed by fluorometric assays, which show that P388/R cells retain one-third the amount of Hoechst 33342, and coincubation with efflux blockers increases Hoechst retention to values similar to those of drug-sensitive P388 cells. DNA histograms of mouse splenocytes incubated with Hoechst 33342 alone have a bimodal distribution possibly because of the presence of subpopulations that do not retain the fluorochrome owing to rapid efflux. Coincubation with an efflux blocker results in the generation of unimodal DNA histograms from these cells. These preliminary studies suggest that reduced retention of Hoechst 33342 in certain cell types (because of rapid efflux) can be blocked by efflux blockers, thus leading to generation of typical DNA distribution histograms.     

Analysis of DNA synthesis rate of cultured cells from flow cytometric data

The rate of DNA synthesis along S phase is estimated from flow cytometric histograms on the basis of a mathematical model of a cell population. In the absence of loss, the model expresses the population kinetics in terms of DNA synthesis rate, S-phase influx, and population size. A single histogram is sufficient to determine the DNA synthesis rate when the population is in balanced exponential growth. Two suitably chosen histograms are necessary if the S-phase influx is exponential in a time interval longer than the S-phase duration. The analysis procedure was tested on published autoradiographic data and applied to three cultured cell lines (CM-S, 3LL, and M14 cells) that show various patterns of DNA distribution. In each case the cell-cycle fractions, the DNA synthesis rate, and the S-phase duration were obtained.     

Flow cytometric DNA analysis of corneal epithelium

We have modified an existing technique in order to perform DNA analysis by flow cytometry (FCM) of corneal epithelium from the mouse, rat, chicken, rabbit, and human. This protocol permitted an investigation of human corneal scrapings from several categories: normal, aphakic bullous keratopathy (ABK), keratoconus (KC), Fuch's dystrophy, edema, epithelial dysplasia, and lipid degeneration. No abnormal characteristic cell-kinetic profile was detected when averaged DNA histograms were compared statistically between the normal and either ABK, KC, edema, or Fuch's dystrophy groups. Abnormal DNA histograms were recorded for cell samples that were taken 1) from three individuals who had epithelial dysplasia and 2) from one individual diagnosed with lipid degeneration. The former condition was characterized by histograms that had a subpopulation of cells with an aneuploid amount of DNA or had higher than normal percentages of cells in the S and G2 + M phases of the cell cycle. Corneal cells from the patient who had lipid degeneration had an abnormally high percentage of cells in the G2 + M phases of the cell cycle. The availability of accurate DNA flow cytometric analysis of corneal epithelium allows further studies on this issue from both experimental and clinical situations.     

Qualitative and quantitative analysis of peritoneal fluids from women with gynecologic diseases. Comparison of cytology and flow cytometry for the detection of malignancy in lavage and ascitic fluids

A prospective study was undertaken to compare flow cytometric (FCM) analysis to conventional cytologic evaluation for the detection of malignant cells in peritoneal fluids (peritoneal lavages and ascitic fluids) from women with gynecologic diseases. The 94 peritoneal fluids analyzed came from 63 cancer patients (with epithelial ovarian carcinomas) and 31 control patients (with benign gynecologic diseases). The FCM DNA histograms were generated using propidium iodide as a DNA fluorochrome. Samples for cytologic analysis were stained with the standard May-Grünwald-Giemsa or Papanicolaou stains. Of the 94 samples, 90 were evaluable cytologically while 70 were suitable for FCM analysis. The sensitivities were 55% for FCM DNA analysis and 80% for cytologic analysis. FCM DNA analysis had a 30% false-positive rate; cytologic analysis produced no false-positive results. These results indicate that there is no advantage in employing FCM analysis instead of conventional cytologic evaluation for the detection of malignant cells in peritoneal fluids from gynecologic cases.     

Assessment of DNA flow cytometry as a surrogate end point biomarker in a bladder cancer chemoprevention trial

Although conventional cytology represents the most widely performed cytometric analysis of bladder cancer cells, DNA flow cytometry has, over the past decade, been increasingly used to evaluate cell proliferation and DNA ploidy in cells from bladder washings. We have investigated whether DNA flow cytometry and conventional cytology of epithelial cells obtained from bladder washings provide reliable surrogate endpoint biomarkers in clinical chemoprevention trials. We used cytometric and clinical data from a chemoprevention trial of the synthetic retinoid Fenretinide on 99 patients with superficial bladder cancer. A total of 642 bladder washing specimens obtained from the patients at 4 month intervals was analyzed. Intra-individual agreement and correlation of flow cytometric DNA ploidy (diploid vs. aneuploid), DNA Index, Hyper-Diploid-Fraction (proportion of cells with DNA content higher than 2C), and conventional cytologic examination, as assessed by kappa statistics and Spearman's correlation test, were poor from baseline through 24 months. Moreover, no correlation was found between DNA ploidy and cytology at each time point. The same results were obtained when the analyses were stratified by treatment group. In addition, the association between the results of bladder washing (by either DNA flow cytometry or cytology) and concomitant tumor recurrence was significant only for abnormal cytology, while neither biomarker was predictive of tumor recurrence at the subsequent visit. During the time of this study only four patients progressed to muscle-invasive bladder cancer, indicating the "low-risk" features of the patient population. We conclude that DNA flow cytometry and conventional cytology on epithelial cells obtained from bladder washings do not appear to provide suitable surrogate endpoint biomarkers during the early stages of bladder carcinogenesis.     

Automatic analysis of flow cytometric DNA histograms from irradiated mouse male germ cells

An automatic procedure for recovering the DNA content distribution of mouse irradiated testis cells from flow cytometric histograms is presented. First, a suitable mathematical model is developed, to represent the pattern of DNA content and fluorescence distribution in the sample. Then a parameter estimation procedure, based on the maximum likelihood approach, is constructed by means of an optimization technique. This procedure has been applied to a set of DNA histograms relative to different doses of 0.4-MeV neutrons and to different time intervals after irradiation. In each case, a good agreement between the measured histograms and the corresponding fits has been obtained. The results indicate that the proposed method for the quantitative analysis of germ cell DNA histograms can be usefully applied to the study of the cytotoxic and mutagenic action of agents of toxicological interest such as ionizing radiations.     

Clinical aspects for the use of DNA image cytometry in detection of bladder cancer: a valuable tool?

The employment of DNA flow or image cytometry for oncological diagnostic procedures is favored because of its high correlation to tumor biological behavior. Prognostic statements and therapeutic strategies therefore are based on the high validity of DNA cytometric measurements. Using 151 bladder washings from patients suspected of bladder cancer for this study, we examined the clinical value of various common methods of DNA single cell (SCI) and stemline interpretations (SLI). Comparing the specificity and sensitivity of DNA image cytometry in detection of bladder tumors, we found 81 and 52%, respectively, for SCI of Boecking, 84 and 45% for SLI of Boecking, 61 and 58% for SLI of Fu, and 82 and 40% for conventional stemline interpretation. To improve diagnostic and prognostic validity of DNA image cytometry, we designed our own method of interpretation. In consequence, we identified six single DNA parameters out of all recorded measurements that correlated most to histopathological grading (G1-G3). Creating reference values at random and rating by points, we used a cytometric grading system for ranking. In detection of bladder cancer specificity and sensitivity ultimately arrived at almost 70% in application of our method. Thus, by this study, we were able to show that sensitivity of DNA examination can be increased by combining various DNA parameters. Apart from our own scheme, the discrepancy in interpretation of DNA image cytometry does not allow us to recommend this procedure as the only diagnostic in detection of bladder cancer. However, in regard to prognostic statements, particularly tumor biological behavior, DNA image cytometry appears to be useful.     

DNA contents of replication without DNA density labeling

A new method for determining the timing of DNA replication in specific regions of the mammalian genome without the use of DNA density labeling and DNA density centrifugation is described. The method is based on determination of average relative DNA copy numbers in specific genomic regions as cells progress through S phase, and "time of replication" for a specific region is described in terms of the cell's DNA content when the region is replicated. DNA is isolated from synchronized populations of G1 and S phase cells, it is slot-blotted at the same DNA concentration(s) for each population, and it is hybridized with 32P-labeled DNA probes that are specific to the regions of interest. Quantitation of the slot blot autoradiograms and flow cytometric analysis allows determination of (a) average relative DNA copy numbers for the regions of interest in synchronized cell populations, and (b) the average total DNA content in each population of synchronized cells. This information and the flow cytometry histograms are then used to calculate the cellular DNA content at which each region of interest is replicated. The results have a precision of less than or equal to +/- 10% of S phase for Chinese hamster (line CHO) rhodopsin, metallothionein II, the 5'-end of dihydrofolate reductase, the telomeric repeated sequence, pHuR-093 (also located near the centromeres in CHO chromosomes), and the c-Ki-ras family.     

Comparison of gaussian and t-distribution densities for modeling fluorescence dispersion in flow cytometric DNA histograms

In this paper, we have analyzed, on an experimental basis, the behaviour of the standardized t-distribution with three degrees of freedom versus the gaussian model, when employed for describing the fluorescence dispersion effect in flow cytometric DNA measurements. The comparison has been performed by employing two different objective criteria based on a computer analysis for fitting DNA histograms and on a parameter related to the peak distribution shape. The results indicate that, when the peak variance is not particularly small, the two models are substantially equivalent. In the case of experimental data with very sharp peaks, the t-distribution performs better than the gaussian density.     

Image cytometric DNA analysis in human breast cancer analysis may add prognostic information in diploid cases with low S-phase fraction by flow cytometry.

Measurements of DNA ploidy can be performed either with image cytometry (ICM) or flow cytometry (FCM); both methods provide independent prognostic information in primary breast cancer. The aim of the present investigation was to compare the two methods and to relate the findings to prognosis (median follow-up 42 months). Concordance in ploidy status (diploid, tetraploid, aneuploid) was obtained in 76% of the samples (168/222). When the fraction of S-phase cells (SPF) from FCM analysis was also taken into consideration, four different groups of samples were obtained (Flow I-IV), which were considered to correspond to the Auer classification (Auer I-IV) of DNA histograms obtained from image cytometry. Complete concordance between the two techniques now was 70% (155/222). Samples classified as Flow I (diploid or near-diploid with low SPF) and Auer I had a distant metastasis rate of 3/60 (5%), as compared to 62/154 (40%) for all other combinations of the Flow and Auer classifications taken together. Thus, the only findings of prognostic importance were that some samples were Flow I but not Auer I, or vice versa. These two groups represent 17 (7.7%) and 14 (6.3%), respectively, of the total number of samples, and had frequencies of distant metastasis similar to those of the other high-risk groups, namely, 7/17 and 5/14, respectively. In a multivariate analysis, flow cytometric S-phase value was a stronger prognostic factor than either the Flow and Auer classification. We conclude that when routine FCM DNA analysis is used, diploid or near-diploid samples with a low S-phase value should be reanalyzed with ICM.     

High-resolution flow cytometry of nuclear DNA in higher plants

Summary High-resolution flow cytometry of nuclear DNA in higher plants has been performed from chopped plant tissues and plant protoplasts. A preparation and staining procedure with the DNA specific fluorochrome DAPI, successfully employed for precise flow cytometric DNA analysis of animal and human cells has been used in a slightly modified manner for the DNA analysis of plant cell material. High-resolution DNA histograms coefficients of variation about 1–1.5% have been obtained routinely from plant species with different DNA content. Staining of nuclei with DAPI in combination with the protein fluorochrome sulforhodamine 101 allows bi-parametric analysis of nuclear DNA and protein. The described simple and precise method might be very promising for the analysis of DNA in basic and applied cytogenetic investigations of plant cell research.Abbreviations CV coefficient of variation - DAPI 4,6-diamidino-2-phenylindole - SR 101 sulforhodamine 101