Cytogenetics in Chronic Lymphocytic Leukemia: ERIC Perspectives and Recommendations

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Publikace nespadá pod Ústav výpočetní techniky, ale pod Lékařskou fakultu. Oficiální stránka publikace je na webu muni.cz.

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BALIAKAS Panagiotis ESPINET Blanca MELLINK Clemens JAROŠOVÁ Marie ATHANASIADOU Anastasia GHIA Paolo KATER Arnon P OSCIER David HAFERLACH Claudia STAMATOPOULOS Kostas

Rok publikování 2022
Druh Článek v odborném periodiku
Časopis / Zdroj HemaSphere
Fakulta / Pracoviště MU

Lékařská fakulta

Citace
www https://journals.lww.com/hemasphere/Fulltext/2022/04000/Cytogenetics_in_Chronic_Lymphocytic_Leukemia__ERIC.6.aspx
Doi http://dx.doi.org/10.1097/HS9.0000000000000707
Klíčová slova Chronic Lymphocytic Leukemia; Cytogenetics
Popis Mounting evidence underscores the clinical value of cytogenetic analysis in chronic lymphocytic leukemia (CLL), particularly as it allows the identification of complex karyotype, that has recently emerged as a prognostic and potentially predictive biomarker. That said, explicit recommendations regarding the methodology and clinical interpretation of either chromosome banding analysis (CBA) or chromosome microarray analysis (CMA) are still lacking. We herein present the consensus of the Cytogenetic Steering Scientific Committee of ERIC, the European Research Initiative on CLL, regarding methodological issues as well as clinical interpretation of CBA/CMA and discuss their relevance in CLL. ERIC considers CBA standardized and feasible for CLL on the condition that standards are met, extending from the use of novel mitogens to the accurate interpretation of the findings. On the other hand, CMA, is also standardized, however, robust data on its clinical utility are still scarce. In conclusion, cytogenetic analysis is not yet mature enough to guide treatment choices in CLL. That notwithstanding, ERIC encourages the wide application of CBA, and potentially also CMA, in clinical trials in order to obtain robust evidence regarding the predictive value of specific cytogenetic profiles towards refining risk stratification and improving the management of patients with CLL.
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