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Clinical utility of chromosomal microarray in establishing clonality and high risk features in patients with Richter transformation()

Richter transformation (RT) refers to the development of an aggressive lymphoma in patients with pre-existing chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL). It carries a poor prognosis secondary to poor response to therapy or rapid disease relapse. Currently there are no randomiz...

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Autores principales: Hess, Brian, Kalmuk, James, Znoyko, Iya, Schandl, Cynthia A., Wagner-Johnston, Nina, Mazzoni, Sandra, Hendrickson, Lindsey, Chiad, Zane, Greenwell, Irl Brian, Wolff, Daynna J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10084781/
https://www.ncbi.nlm.nih.gov/pubmed/34808593
http://dx.doi.org/10.1016/j.cancergen.2021.10.003
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author Hess, Brian
Kalmuk, James
Znoyko, Iya
Schandl, Cynthia A.
Wagner-Johnston, Nina
Mazzoni, Sandra
Hendrickson, Lindsey
Chiad, Zane
Greenwell, Irl Brian
Wolff, Daynna J.
author_facet Hess, Brian
Kalmuk, James
Znoyko, Iya
Schandl, Cynthia A.
Wagner-Johnston, Nina
Mazzoni, Sandra
Hendrickson, Lindsey
Chiad, Zane
Greenwell, Irl Brian
Wolff, Daynna J.
author_sort Hess, Brian
collection PubMed
description Richter transformation (RT) refers to the development of an aggressive lymphoma in patients with pre-existing chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL). It carries a poor prognosis secondary to poor response to therapy or rapid disease relapse. Currently there are no randomized trials to guide treatment. Therapeutic decisions are often influenced by the presence or absence of a clonal relationship between the underlying CLL/SLL and the new lymphoma given the poor prognosis of patients with clonally related RT. Chromosomal microarray analysis (CMA) can help to establish clonality while also detecting genomic complexity and clinically relevant genetic variants such as loss of CDKN2A and/or TP53. As a result, CMA has potential prognostic and therapeutic implications. For this study, CMA results from patients with Richter transformation were evaluated in paired CLL/SLL and transformed lymphoma samples. CMA revealed that 86% of patients had common aberrations in the two samples indicating evidence of common clonality. CMA was also useful in detecting aberrations associated with a poor prognosis in 71% of patients with RT. This study highlights the potential clinical utility of CMA to investigate the clonal relationship between CLL/SLL and RT, provide prognostic information, and possibly guide therapeutic decision making for patients with Richter transformation.
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spelling pubmed-100847812023-04-10 Clinical utility of chromosomal microarray in establishing clonality and high risk features in patients with Richter transformation() Hess, Brian Kalmuk, James Znoyko, Iya Schandl, Cynthia A. Wagner-Johnston, Nina Mazzoni, Sandra Hendrickson, Lindsey Chiad, Zane Greenwell, Irl Brian Wolff, Daynna J. Cancer Genet Article Richter transformation (RT) refers to the development of an aggressive lymphoma in patients with pre-existing chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL). It carries a poor prognosis secondary to poor response to therapy or rapid disease relapse. Currently there are no randomized trials to guide treatment. Therapeutic decisions are often influenced by the presence or absence of a clonal relationship between the underlying CLL/SLL and the new lymphoma given the poor prognosis of patients with clonally related RT. Chromosomal microarray analysis (CMA) can help to establish clonality while also detecting genomic complexity and clinically relevant genetic variants such as loss of CDKN2A and/or TP53. As a result, CMA has potential prognostic and therapeutic implications. For this study, CMA results from patients with Richter transformation were evaluated in paired CLL/SLL and transformed lymphoma samples. CMA revealed that 86% of patients had common aberrations in the two samples indicating evidence of common clonality. CMA was also useful in detecting aberrations associated with a poor prognosis in 71% of patients with RT. This study highlights the potential clinical utility of CMA to investigate the clonal relationship between CLL/SLL and RT, provide prognostic information, and possibly guide therapeutic decision making for patients with Richter transformation. 2022-01 2021-10-28 /pmc/articles/PMC10084781/ /pubmed/34808593 http://dx.doi.org/10.1016/j.cancergen.2021.10.003 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Article
Hess, Brian
Kalmuk, James
Znoyko, Iya
Schandl, Cynthia A.
Wagner-Johnston, Nina
Mazzoni, Sandra
Hendrickson, Lindsey
Chiad, Zane
Greenwell, Irl Brian
Wolff, Daynna J.
Clinical utility of chromosomal microarray in establishing clonality and high risk features in patients with Richter transformation()
title Clinical utility of chromosomal microarray in establishing clonality and high risk features in patients with Richter transformation()
title_full Clinical utility of chromosomal microarray in establishing clonality and high risk features in patients with Richter transformation()
title_fullStr Clinical utility of chromosomal microarray in establishing clonality and high risk features in patients with Richter transformation()
title_full_unstemmed Clinical utility of chromosomal microarray in establishing clonality and high risk features in patients with Richter transformation()
title_short Clinical utility of chromosomal microarray in establishing clonality and high risk features in patients with Richter transformation()
title_sort clinical utility of chromosomal microarray in establishing clonality and high risk features in patients with richter transformation()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10084781/
https://www.ncbi.nlm.nih.gov/pubmed/34808593
http://dx.doi.org/10.1016/j.cancergen.2021.10.003
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