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001-es BibID:	BIBFORM078121
035-os BibID:	(PMID)30830246
Első szerző:	Kárai Bettina (orvos)
Cím:	A novel flow cytometric method for enhancing acute promyelocytic leukemia screening by multidimensional dot-plots / Bettina Kárai, Mira Habók, Gyula Reményi, László Rejtő, Anikó Ujfalusi, János Kappelmayer, Zsuzsanna Hevessy
Dátum:	2019
Megjegyzések:	Acute promyelocytic leukemia (APL) is generally characterized by t(15;17)(q24;q21). In some cases, the classic translocation cannot be identified by conventional methods, since the PML-RARA fusion protein results from complex, variant, or cryptic translocation. The diagnostic algorithm of APL starts with screening methods, such as flow cytometry (FC), followed by fluorescence in situ hybridization or polymerase chain reaction to confirm the diagnosis. Our aim was to develop a novel protocol for analyzing APL samples based on multidimensional dot-plots that can provide comprehensive information about several markers at the same time. The protocol included four optimized multidimensional dot-plots, which were tested by retrospective reanalysis of FC results in APL (n?=?8) and non-APL (n?=?12) acute myeloid leukemia (AML) cases. After predicting the potential position of hypergranular- and microgranular-type aberrant promyelocytes, the percentages of blast populations were examined within the gates in all AML cases. The percentage of blasts in each predefined gate was well above the cut-off value (95%) in APL cases in all tubes. In non-APL AML cases, the percentage of blasts in the same gates never reached the cut-off value in all investigated tubes, and even when it did in a single tube, the pattern was markedly different from that observed in APL cases. In conclusion, multidimensional dot-plots can be used for screening APL even in cryptic APL cases, although reproducibility across several laboratories would require standardization of antibodies and fluorochromes. This easy-to-use and quick method can support the diagnosis of APL and the prompt initiation of the appropriate treatment.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban Acute promyelocytic leukemia Cryptic translocation Flow cytometry Multidimensional dot-plot
Megjelenés:	Annals of Hematology. - 98 : 6 (2019), p. 1413-1420. -
További szerzők:	Habók Mira Reményi Gyula (1969-) (belgyógyász, haematológus) Rejtő László (1963-) (belgyógyász, haematológus) Ujfalusi Anikó (1968-) (gyermekorvos, laboratóriumi szakorvos) Kappelmayer János (1960-) (laboratóriumi szakorvos) Hevessy Zsuzsanna (1966-) (laboratóriumi szakorvos)
Internet cím:	DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM131635
035-os BibID:	(WoS)001524043400001
Első szerző:	Palicskó Bettina (klinikai laboratóriumi kutató, phd hallgató)
Cím:	Enhancing detection of central nervous system involvement in multiple myeloma : a novel multidimensional dot-plot based analysis for flow cytometry / Bettina Palicskó, Luca Janovák, László Rejtő, László Váróczy, Zsuzsanna Hevessy, Bettina Kárai
Dátum:	2025
ISSN:	1552-4949
Megjegyzések:	Central nervous system (CNS) involvement in multiple myeloma (MM) is a rare but severe complication with a poor prognosis. The identification of malignant plasma cells in cerebrospinal fluid (CSF) is essential for early diagnosis and intervention. However, the sensitivity of traditional diagnostic methods like cytology is low, especially in samples with low-cell counts. This study aimed to develop a multidimensional radar dot-plot analysis using Kaluza software to enhance the sensitivity and specificity of flow cytometry for detecting abnormal plasma cells in CSF. One hundred and twenty-five CSF samples were sent for flow cytometric testing to investigate the central nervous system involvement of MM. Finally, 89 samples from 40 patients were included in our study. Multicolor flow cytometry was performed using an 8-color labeling method, and radar dot-plot analysis was developed using diagnostic bone marrow samples to distinguish normal plasma cells, abnormal plasma cells, and cellular debris. The sensitivity of the novel method was evaluated by diluting myeloma bone marrow cells in pooled CSF samples to simulate low cell counts. Of the 125 CSF specimens, 16 samples from 4 patients showed abnormal plasma cells using both conventional and multidimensional flow cytometry analysis. Discordant results were found in 32 samples (25%), where conventional analysis suggested the presence of abnormal cells, but these were ruled out by multidimensional analysis. Sensitivity testing showed that the multidimensional dot-plot method outperforms conventional two-dimensional dot-plot analysis, as the radar dot plot can be used to identify abnormal cells in samples diluted to 5?WBC/?L, where the cell count of abnormal plasma cells is <?1?cell/?L. Our results showed that the new radar dot-plot analysis can increase the sensitivity and specificity of flow cytometry in MM for the detection of CNS involvement, even in low-cell-count CSF samples, regardless of whether the sample was obtained in a tube containing special reagent or not (TransFix/EDTA CSF Sample Storage tubes). This approach improves diagnostic accuracy, reduces the number of false positive cases caused by antibodies adhering to cell debris, and provides a reliable tool for assessing neurological complications in MM. Further validation is needed in a larger number of cases and testing of the method on different antibody panels.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Cytometry Part B-Clinical Cytometry. - 108 : 4 (2025), p. 275-281. -
További szerzők:	Janovák Luca Rejtő László (1963-) (belgyógyász, haematológus) Váróczy László (1974-) (belgyógyász, haematológus) Hevessy Zsuzsanna (1966-) (laboratóriumi szakorvos) Kárai Bettina (1984-) (orvos)
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