Adequacy criteria for cytology specimens by Dr. Mahra Nourbakhsh
V1c 97 03 Hstm 2011 Hamburg 20110526 Dj
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2. Biological and technical validation of an experimental macrophage-assay; the necessary steps to take D . Japink 1 , M.N. Sosef 1 , J.Coy 4 , M. Nap 2 , M.P.G. Leers 3 Dept. Surgery 1 , Pathology 2 and Clinical chemistry 3 , Atrium MC Parkstad Heerlen, the Netherlands, Tavarlin AG 4 , Darmstadt, Germany
Thank you chairman for giving me the opportunity to present our latest results of our research group, good afternoon ladies and gentlemen. First I would like to give a short introduction to our work and afterwards I will elaborate about the quality assessments we have been conducting.
The macrophage method was first described by Herwig et al from Innsbruck Austria in 2005 and we adapted and refined this method in Heerlen and performed a pilot study with prostate cancer patients which we published in 2008. Afterwards we translated the method to colorectal cancer, performed a pilot study in 45 patients and found the ability to detect CRC already in early stages.
In the prostate study we confirmed the existence of macrophages containing PSA. The result can be seen here. Cyto-centrifuging peripheral blood samples showed multilobulated cells. The ability for phagocytosis is shown when staining internally for PSA . The PSA-positivity means one can assume these cells are macrophages.
Also in CRC we were able to detect internalized tumormarker inside macrophages. Again we cytocentrifuged the samples we also measure ifor the new assay and we found a similar picture as for PSA. The picture shows a bluish staining for the nuclei and a brownish staining for internalized CEA in small vesicles.
In short I will show you how the assay functions. The tumor marker detection method we use starts by drawing 3ml peripheral EDTA blood, which we prepare by a SOP-based preparation method. Afterwards a flow cytometric analysis using a parental gating strategy is performed. The parental gating is shown in the upper right corner. first we select mononuclear cells using FSC and SSC. CD14 positivity selects the population of monocytes and a CD16 step filters the activated monocytes. Within this population we further select the tumormarker-positive fraction by tm-positivity compared to a negative control. By at least analyzing 10000 mononuclear cells we make sure enough cells in the subpopulations are analyzed When performing backgating from the CD14-CD16 plot to the FSC-SSC in the top-left corner we can see a clear population with higher SSC and FSC properties, which means the cells are larger and irregular in shape.
An example of the outcomes is as follows: The x axis shows the combined tube numbers we measured and on the Y-axis the % CV is shown. The green bar shows the area of CV which is 15% or lower. Most of the datapoints are below 15% CV value.
This table shows the addressed populations, their median CV and CV range and the reproducibility within 15% and even 10% range. Lowest reproducibility percentages were found in the Cytokeratin 18 populations as shown in red And the highest reproducibility percentages were found in the monocyte populations
Further we measured the stability in time in healthy persons to assess the physiological behaviour of the cell populations we use in our assay
We found the CEA-CM analysis in healthy persons over a time period of one year to be variable but in the end returning to baseline values. Multiple measurements in time provide this baseline. This finding is in line with the established way of working with tumormarkers, where multiple measurements in time with elevations of more than 50% in 2 consecutive measurements is considered clinically relevant.
What was left for us to assess were the Intra and inter-assay variability and the durability. I will walk you through our intra-assay and inter-assay assessment first.
The experiment setup was as you see here, we included 90 patients with CRC, drew 90 samples and prepared the EDTA samples for assessing intra-assay variability. Of 30 patients we were able to obtain a second EDTA-sample for the inter-assay assessment. One negative control-tube and four tumormarker-tubes were provided by each sample, measured on the flow cytometer and analysed according to our standardized gating strategy.
In this graph the original measurement of each sample is plotted against the duplicate one. Most measurements align on the 45 degree axis showing correlation within the 90 samples.
On both axes the duple tube outcomes have been plotted. The correlation here is less strong than in the duplicate assessments but significant correlation is present.
After concluding normality is not present Calculating Spearman r shows a much lower value than in the duplicates. But the correlation still is significantly present. The graph showed earlier showing measurements in time did already show us the variability intra-person. This might mean that also in this type of assay we could need consecutive measurements of tumormarkers. The new days might not be so different from the old days
We found the CEA-CM analysis in healthy persons over a time period of one year to be variable but in the end returning to baseline values. Multiple measurements in time provide this baseline. This finding is in line with the established way of working with tumormarkers, where multiple measurements in time with elevations of more than 50% in 2 consecutive measurements is considered clinically relevant.
Shown here a result of the fluorochrome durability one patient with on the x-axis the time from venipuncture and on the y-axis the median fluorescence intensity. One can notice the APC signal to rise and fall over time and the FITC signal is climbing slightly over time. The PE-signal in this case slightly decreases. In the next slide all patients are visible in one sheet.
Remembering the colour setup from last slide we have positioned all patients in one slide to provide an overall idea of the fluorochrome durability. In these seven patients the fluorochrome durability shows various scenarios, APC and FITC signal vary clearly over time. There is no general increase in aspecific binding of the external fluorochromes in these 7 patients. And by using the standardized gating strategy the qualitative separation of the populations is not affected. One of the good things here to see is that the internal cell staining with PE which is providing the quantitative analysis shows consistency over time.