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Evaluation of a Prognostic Epigenetic Classification System in Chronic Lymphocytic Leukemia Patients

BACKGROUND: Methylation at 5 CpG sites was previously shown to classify chronic lymphocytic leukemia (CLL) into 3 prognostic subgroups. Here, we aimed to validate the marker set in an additional cohort and to evaluate its clinical utility for CLL patient stratification. METHODS: We evaluated this ep...

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Autores principales: Grimm, Christina, Herling, Carmen Diana, Komnidi, Anastasia, Hussong, Michelle, Kreuzer, Karl-Anton, Hallek, Michael, Schweiger, Michal R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8793417/
https://www.ncbi.nlm.nih.gov/pubmed/35095271
http://dx.doi.org/10.1177/11772719211067972
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author Grimm, Christina
Herling, Carmen Diana
Komnidi, Anastasia
Hussong, Michelle
Kreuzer, Karl-Anton
Hallek, Michael
Schweiger, Michal R.
author_facet Grimm, Christina
Herling, Carmen Diana
Komnidi, Anastasia
Hussong, Michelle
Kreuzer, Karl-Anton
Hallek, Michael
Schweiger, Michal R.
author_sort Grimm, Christina
collection PubMed
description BACKGROUND: Methylation at 5 CpG sites was previously shown to classify chronic lymphocytic leukemia (CLL) into 3 prognostic subgroups. Here, we aimed to validate the marker set in an additional cohort and to evaluate its clinical utility for CLL patient stratification. METHODS: We evaluated this epigenetic marker set in 79 German patients using bisulfite treatment followed by pyrosequencing and classification using a support vector machine-learning tool. RESULTS: The n-CLL, i-CLL, and m-CLL classification was detected in 28 (35%), 10 (13%), and 41 (51%) patients, respectively. Epigenetic grouping was associated with IGHV mutational status (P = 2 × 10(−12)), isolated del13q (P = 9 × 10(−6)), del17p (P = .015), complex karyotype (P = .005), VH-usage, and clinical outcome as time to first treatment (P = 1.4 × 10(−12)) and overall survival (P = .003). Multivariate Cox regression analysis identified n-CLL as a factor for earlier treatment hazard ratio (HR), 6.3 (95% confidence interval [CI] 2.4-16.4; P = .0002) compared to IGHV mutational status (HR 4.6, 95% CI 1.9-11.3, P = .0008). In addition, when comparing the prognostic value of the epigenetic classification system with the IGHV classification, epigenetic grouping performed better compared to IGHV mutational status using Kaplan-Meier estimation and allowed the identification of a third, intermediate (i-CLL) group. Thus, our study confirmed the prognostic value of the epigenetic marker set for patient stratification in routine clinical diagnostics.
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spelling pubmed-87934172022-01-28 Evaluation of a Prognostic Epigenetic Classification System in Chronic Lymphocytic Leukemia Patients Grimm, Christina Herling, Carmen Diana Komnidi, Anastasia Hussong, Michelle Kreuzer, Karl-Anton Hallek, Michael Schweiger, Michal R. Biomark Insights Original Research BACKGROUND: Methylation at 5 CpG sites was previously shown to classify chronic lymphocytic leukemia (CLL) into 3 prognostic subgroups. Here, we aimed to validate the marker set in an additional cohort and to evaluate its clinical utility for CLL patient stratification. METHODS: We evaluated this epigenetic marker set in 79 German patients using bisulfite treatment followed by pyrosequencing and classification using a support vector machine-learning tool. RESULTS: The n-CLL, i-CLL, and m-CLL classification was detected in 28 (35%), 10 (13%), and 41 (51%) patients, respectively. Epigenetic grouping was associated with IGHV mutational status (P = 2 × 10(−12)), isolated del13q (P = 9 × 10(−6)), del17p (P = .015), complex karyotype (P = .005), VH-usage, and clinical outcome as time to first treatment (P = 1.4 × 10(−12)) and overall survival (P = .003). Multivariate Cox regression analysis identified n-CLL as a factor for earlier treatment hazard ratio (HR), 6.3 (95% confidence interval [CI] 2.4-16.4; P = .0002) compared to IGHV mutational status (HR 4.6, 95% CI 1.9-11.3, P = .0008). In addition, when comparing the prognostic value of the epigenetic classification system with the IGHV classification, epigenetic grouping performed better compared to IGHV mutational status using Kaplan-Meier estimation and allowed the identification of a third, intermediate (i-CLL) group. Thus, our study confirmed the prognostic value of the epigenetic marker set for patient stratification in routine clinical diagnostics. SAGE Publications 2022-01-19 /pmc/articles/PMC8793417/ /pubmed/35095271 http://dx.doi.org/10.1177/11772719211067972 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Grimm, Christina
Herling, Carmen Diana
Komnidi, Anastasia
Hussong, Michelle
Kreuzer, Karl-Anton
Hallek, Michael
Schweiger, Michal R.
Evaluation of a Prognostic Epigenetic Classification System in Chronic Lymphocytic Leukemia Patients
title Evaluation of a Prognostic Epigenetic Classification System in Chronic Lymphocytic Leukemia Patients
title_full Evaluation of a Prognostic Epigenetic Classification System in Chronic Lymphocytic Leukemia Patients
title_fullStr Evaluation of a Prognostic Epigenetic Classification System in Chronic Lymphocytic Leukemia Patients
title_full_unstemmed Evaluation of a Prognostic Epigenetic Classification System in Chronic Lymphocytic Leukemia Patients
title_short Evaluation of a Prognostic Epigenetic Classification System in Chronic Lymphocytic Leukemia Patients
title_sort evaluation of a prognostic epigenetic classification system in chronic lymphocytic leukemia patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8793417/
https://www.ncbi.nlm.nih.gov/pubmed/35095271
http://dx.doi.org/10.1177/11772719211067972
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