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Prognostic impact of prevalent chronic lymphocytic leukemia stereotyped subsets: analysis within prospective clinical trials of the German CLL Study Group
Almost one-third of all patients with chronic lymphocytic leukemia (CLL) express stereotyped B-cell receptor immunoglobulins (BcR IG) and can be assigned to distinct subsets, each with a particular BcR IG. The largest stereotyped subsets are #1, #2, #4 and #8, associated with specific clinico-biolog...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Fondazione Ferrata Storti
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7604575/ https://www.ncbi.nlm.nih.gov/pubmed/33131249 http://dx.doi.org/10.3324/haematol.2019.231027 |
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author | Jaramillo, Sonia Agathangelidis, Andreas Schneider, Christof Bahlo, Jasmin Robrecht, Sandra Tausch, Eugen Bloehdorn, Johannes Hoechstetter, Manuela Fischer, Kirsten Eichhorst, Barbara Goede, Valentin Hallek, Michael Döhner, Hartmut Rosenquist, Richard Ghia, Paolo Stamatopoulos, Kostas Stilgenbauer, Stephan |
author_facet | Jaramillo, Sonia Agathangelidis, Andreas Schneider, Christof Bahlo, Jasmin Robrecht, Sandra Tausch, Eugen Bloehdorn, Johannes Hoechstetter, Manuela Fischer, Kirsten Eichhorst, Barbara Goede, Valentin Hallek, Michael Döhner, Hartmut Rosenquist, Richard Ghia, Paolo Stamatopoulos, Kostas Stilgenbauer, Stephan |
author_sort | Jaramillo, Sonia |
collection | PubMed |
description | Almost one-third of all patients with chronic lymphocytic leukemia (CLL) express stereotyped B-cell receptor immunoglobulins (BcR IG) and can be assigned to distinct subsets, each with a particular BcR IG. The largest stereotyped subsets are #1, #2, #4 and #8, associated with specific clinico-biological characteristics and outcomes in retrospective studies. We assessed the associations and prognostic value of these BcR IG in prospective multicenter clinical trials reflective of two different clinical situations: (i) early-stage patients ('watch and wait' arm of the CLL1 trial) (n=592); (ii) patients in need of treatment, enrolled in three phase III trials (CLL8, CLL10, CLL11), treated with different chemo-immunotherapies (n=1,861). Subset #1 was associated with del(11q), higher CLL International Prognostic Index (CLL-IPI) scores and similar clinical course to CLL with unmutated immunoglobulin heavy variable (IGHV) genes (U-CLL) in both early and advanced stage groups. IGHV-mutated (M-CLL) subset #2 cases had shorter time-to-first-treatment (TTFT) versus other M-CLL cases in the early-stage cohort (hazard ratio [HR]: 4.2, confidence interval [CI]: 2-8.6, P<0.001), and shorter time-to-next-treatment (TTNT) in the advancedstage cohort (HR: 2, CI: 1.2-3.3, P=0.005). M-CLL subset #4 was associated with lower CLL-IPI scores and younger age at diagnosis; in both cohorts, these patients showed a trend towards better outcomes versus other MCLL. U-CLL subset #8 was associated with trisomy 12. Overall, this study shows that major stereotyped subsets have distinctive characteristics. For the first time in prospective multicenter clinical trials, subset #2 appeared as an independent prognostic factor for earlier TTFT and TTNT and should be proposed for risk stratification of patients. (Trials registered at clinical trials. gov identifiers: NCT00262782, NCT00281918, NCT2000769522, and NCT01010061). |
format | Online Article Text |
id | pubmed-7604575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Fondazione Ferrata Storti |
record_format | MEDLINE/PubMed |
spelling | pubmed-76045752020-11-06 Prognostic impact of prevalent chronic lymphocytic leukemia stereotyped subsets: analysis within prospective clinical trials of the German CLL Study Group Jaramillo, Sonia Agathangelidis, Andreas Schneider, Christof Bahlo, Jasmin Robrecht, Sandra Tausch, Eugen Bloehdorn, Johannes Hoechstetter, Manuela Fischer, Kirsten Eichhorst, Barbara Goede, Valentin Hallek, Michael Döhner, Hartmut Rosenquist, Richard Ghia, Paolo Stamatopoulos, Kostas Stilgenbauer, Stephan Haematologica Article Almost one-third of all patients with chronic lymphocytic leukemia (CLL) express stereotyped B-cell receptor immunoglobulins (BcR IG) and can be assigned to distinct subsets, each with a particular BcR IG. The largest stereotyped subsets are #1, #2, #4 and #8, associated with specific clinico-biological characteristics and outcomes in retrospective studies. We assessed the associations and prognostic value of these BcR IG in prospective multicenter clinical trials reflective of two different clinical situations: (i) early-stage patients ('watch and wait' arm of the CLL1 trial) (n=592); (ii) patients in need of treatment, enrolled in three phase III trials (CLL8, CLL10, CLL11), treated with different chemo-immunotherapies (n=1,861). Subset #1 was associated with del(11q), higher CLL International Prognostic Index (CLL-IPI) scores and similar clinical course to CLL with unmutated immunoglobulin heavy variable (IGHV) genes (U-CLL) in both early and advanced stage groups. IGHV-mutated (M-CLL) subset #2 cases had shorter time-to-first-treatment (TTFT) versus other M-CLL cases in the early-stage cohort (hazard ratio [HR]: 4.2, confidence interval [CI]: 2-8.6, P<0.001), and shorter time-to-next-treatment (TTNT) in the advancedstage cohort (HR: 2, CI: 1.2-3.3, P=0.005). M-CLL subset #4 was associated with lower CLL-IPI scores and younger age at diagnosis; in both cohorts, these patients showed a trend towards better outcomes versus other MCLL. U-CLL subset #8 was associated with trisomy 12. Overall, this study shows that major stereotyped subsets have distinctive characteristics. For the first time in prospective multicenter clinical trials, subset #2 appeared as an independent prognostic factor for earlier TTFT and TTNT and should be proposed for risk stratification of patients. (Trials registered at clinical trials. gov identifiers: NCT00262782, NCT00281918, NCT2000769522, and NCT01010061). Fondazione Ferrata Storti 2019-12-26 /pmc/articles/PMC7604575/ /pubmed/33131249 http://dx.doi.org/10.3324/haematol.2019.231027 Text en Copyright© 2020 Ferrata Storti Foundation http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License (by-nc 4.0) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Article Jaramillo, Sonia Agathangelidis, Andreas Schneider, Christof Bahlo, Jasmin Robrecht, Sandra Tausch, Eugen Bloehdorn, Johannes Hoechstetter, Manuela Fischer, Kirsten Eichhorst, Barbara Goede, Valentin Hallek, Michael Döhner, Hartmut Rosenquist, Richard Ghia, Paolo Stamatopoulos, Kostas Stilgenbauer, Stephan Prognostic impact of prevalent chronic lymphocytic leukemia stereotyped subsets: analysis within prospective clinical trials of the German CLL Study Group |
title | Prognostic impact of prevalent chronic lymphocytic leukemia stereotyped subsets: analysis within prospective clinical trials of the German CLL Study Group |
title_full | Prognostic impact of prevalent chronic lymphocytic leukemia stereotyped subsets: analysis within prospective clinical trials of the German CLL Study Group |
title_fullStr | Prognostic impact of prevalent chronic lymphocytic leukemia stereotyped subsets: analysis within prospective clinical trials of the German CLL Study Group |
title_full_unstemmed | Prognostic impact of prevalent chronic lymphocytic leukemia stereotyped subsets: analysis within prospective clinical trials of the German CLL Study Group |
title_short | Prognostic impact of prevalent chronic lymphocytic leukemia stereotyped subsets: analysis within prospective clinical trials of the German CLL Study Group |
title_sort | prognostic impact of prevalent chronic lymphocytic leukemia stereotyped subsets: analysis within prospective clinical trials of the german cll study group |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7604575/ https://www.ncbi.nlm.nih.gov/pubmed/33131249 http://dx.doi.org/10.3324/haematol.2019.231027 |
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