In Hodgkin's disease, cytogenetically aberrant clones have been demonstrated in a minority of cases studied. In the remaining cases, only normal metaphases have been found, but it is questionable whether normal karyotypes actually correspond to the pathognomonic Hodgkin and Reed-Sternberg (HRS) cells. Numerical aberrations could be studied by fluorescence in situ hybridization (FISH). However, in Hodgkin's disease, the percentage of tumor cells is mostly below the detection limit of FISH, which is near 1%. With the technique of simultaneous fluorescence immunophenotyping and interphase cytogenetic analysis (FICTION), this problem can be overcome. By FICTION, hybridization signals can selectively be evaluated within the CD30a+ cell population. We have studied 30 cytogenetically analyzed cases of Hodgkin's disease by means of FICTION. In all cases, we found numerical chromosome aberrations within the majority of CD30+ HRS cells. In cases with complex and hyperdiploid karyotypes, the cytogenetic results agreed with the FICTION data. There was considerable variability in the chromosome numbers, demonstrating that karyotype instability is an in vivo phenomenon of HRS cells. Lymphocytes never displayed numerical chromosome changes. Our results indicate that HRS cells regularly exhibit numerical chromosome aberrations and that the chromosome numbers are always in the hyperploid range.

Recently, we have presented a new technique for immunophenotyping cells that have numerical chromosome aberrations. We referred to this method as “Fluorescence-Immunophenotyping and Interphase Cytogenetics as a Tool for Investigation of Neoplasms” (FICTION). We present here an advanced FICTION method with three-color staining and improved sensitivity.

Cytogenetic studies on Hodgkin’s disease (HD) typically reveal very complex karyotypes with a variety of numerical and structural abnormalities. The confusing thing is that about 10% of cases contain relatively discrete chromosome aberrations, for example a simple trisomy or loss of one single chromosome. Whether these karyotypes really correspond to Hodgkin and Reed-Sternberg (HRS) cells is uncertain. They could, for example, represent early stages in the evolution of the karyotype of the pathognomonic HRS cells. On the other hand, they could be artificial events that occur during the cytogenetic procedure. In our experience, isolated loss of the Y chromosome is the most frequent finding of this type. This aberration is usually considered to be a preparation artifact. However, if one takes into account that in HD up to 50% of male cases with complex karyotypes also lack the Y chromosome, a possible relation to HRS cells must be considered. The technique of simultaneous fluorescence immunophenotyping and interphase cytogenetic analysis (referred to as FICTION) is a powerful tool for studying the nature of cytogenetically abnormal cells. With the FICTION technique we studied four cases of HD in which the chromosome analysis had shown only the loss of the Y chromosome. Our aim was to clarify whether these karyotypes corresponded to the CD30-positive HRS cells. In two cases we found that HRS cells actually lacked the Y chromosome. There was strong evidence, however, that the HRS cells additionally had other chromosome aberrations and thus could not correspond to the cytogenetically determined karyotypes.

We describe a method that enables detection and immunophenotypical characterization of distinct subpopulations within a cytogenetically defiied tumor clone. CoariSting normal cells do not hinder microscopic evaluation because they can be distinguished from cytogenetically aberrant tumor cells. This is also true when normal and neoplastic cells cannot be dearly distinguished by cytology or immunohistochemistry, i.e., if both constituents have similar immunophenotypes and morphology. The method is based on fluorescence double staining for two Werent antigens com-

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Background: In hospitalized patients with SARS-CoV-2 infection, outcomes markedly differ between locations, regions and countries. For this, patients’ treatment limitations (PTL) could be of major relevance. We thus studied their role as predictor for mortality in a population of hospitalized patients with COVID-19.Methods: In a region with high incidence of SARS-CoV-2 infection, adult hospitalized patients with PCR-confirmed SARS-CoV-2 infection were prospectively registered and characterized regarding sex, age, vital signs, symptoms, comorbidities (including Charlson Comorbidity Index (CCI)), transcutaneous pulse oximetry (SpO2) and laboratory values upon admission, as well as ICU-stay including respiratory support, discharge, transfer to another hospital and death. PTL assessed by routine clinical procedures comprised the acceptance of ICU-therapy, orotracheal intubation and/or cardiopulmonary resuscitation.Results: Among 526 patients included (median [quartiles] age 73 [57; 82] years, 47% female), 226 (43%) had at least one treatment limitation. Each limitation was associated with age, dementia and eGFR (p<0.05 each), that regarding resuscitation additionally with Charlson comorbidity index (CCI) and cardiac disease. Overall mortality was 27% and lower (p<0.001) in patients without treatment limitation (12%) compared to those with any limitation (47%). In univariate analyses, age and comorbidities (diabetes, cardiac, cerebrovascular, renal, hepatic, malignant disease, dementia), SpO2, hemoglobin, leucocyte numbers, estimated glomerular filtration rate (eGFR), C-reactive protein (CRP), Interleukin-6 and LDH were predictive for death (p<0.05 each). In multivariate analyses, the presence of any treatment limitation was an independent predictor of death (OR 4.34, 95%-CI 2.10-12.30; p=0.001), in addition to CCI, eGFR <55 ml/min, neutrophil number >5 G/l, CRP >7 mg/l and SpO2 <93% (p<0.05 each).Conclusion: In hospitalized patients with SARS-CoV-2, the percentage of patients with treatment limitations was high. PTL were linked to age, comorbidities and eGFR assessed upon admission and strong, independent risk factors for mortality. These findings might be useful for further understanding of COVID-19 mortality and its regional variations.