Genome-wide DNA profiling better defines the prognosis of chronic lymphocytic leukaemia
Andrea Rinaldi
Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
These authors contributed equally to this study.
Search for more papers by this authorMichael Mian
Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
Division of Haematology, Azienda Ospedaliera S. Maurizio, Bolzano/Bozen, Italy
These authors contributed equally to this study.
Search for more papers by this authorIvo Kwee
Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
Dalle Molle Institute for Artificial Intelligence (IDSIA), Manno, Switzerland
These authors contributed equally to this study.
Search for more papers by this authorDavide Rossi
Division of Haematology, Department of Clinical and Experimental Medicine and IRCAD, Amedeo Avogadro University of Eastern Piedmont, Novara
Search for more papers by this authorClara Deambrogi
Division of Haematology, Department of Clinical and Experimental Medicine and IRCAD, Amedeo Avogadro University of Eastern Piedmont, Novara
Search for more papers by this authorAfua A. Mensah
Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
Search for more papers by this authorFrancesco Forconi
Division of Haematology, Department of Clinical Medicine and Immunological Sciences, University of Siena and AOUS, Siena
Search for more papers by this authorValeria Spina
Division of Haematology, Department of Clinical and Experimental Medicine and IRCAD, Amedeo Avogadro University of Eastern Piedmont, Novara
Search for more papers by this authorEmanuele Cencini
Division of Haematology, Department of Clinical Medicine and Immunological Sciences, University of Siena and AOUS, Siena
Search for more papers by this authorRita Santachiara
Division of Haematology, Department of Oncology and Haematology, University of Modena and Reggio Emilia, Modena
Search for more papers by this authorRoberto Marasca
Division of Haematology, Department of Oncology and Haematology, University of Modena and Reggio Emilia, Modena
Search for more papers by this authorValter Gattei
Clinical and Experimental Onco-Haematology Unit, Centro di Riferimento Oncologico, I.R.C.C.S., Aviano (PN), Italy
Search for more papers by this authorFranco Cavalli
Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
Search for more papers by this authorEmanuele Zucca
Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
Search for more papers by this authorGianluca Gaidano
Division of Haematology, Department of Clinical and Experimental Medicine and IRCAD, Amedeo Avogadro University of Eastern Piedmont, Novara
Search for more papers by this authorFrancesco Bertoni
Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
Search for more papers by this authorAndrea Rinaldi
Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
These authors contributed equally to this study.
Search for more papers by this authorMichael Mian
Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
Division of Haematology, Azienda Ospedaliera S. Maurizio, Bolzano/Bozen, Italy
These authors contributed equally to this study.
Search for more papers by this authorIvo Kwee
Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
Dalle Molle Institute for Artificial Intelligence (IDSIA), Manno, Switzerland
These authors contributed equally to this study.
Search for more papers by this authorDavide Rossi
Division of Haematology, Department of Clinical and Experimental Medicine and IRCAD, Amedeo Avogadro University of Eastern Piedmont, Novara
Search for more papers by this authorClara Deambrogi
Division of Haematology, Department of Clinical and Experimental Medicine and IRCAD, Amedeo Avogadro University of Eastern Piedmont, Novara
Search for more papers by this authorAfua A. Mensah
Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
Search for more papers by this authorFrancesco Forconi
Division of Haematology, Department of Clinical Medicine and Immunological Sciences, University of Siena and AOUS, Siena
Search for more papers by this authorValeria Spina
Division of Haematology, Department of Clinical and Experimental Medicine and IRCAD, Amedeo Avogadro University of Eastern Piedmont, Novara
Search for more papers by this authorEmanuele Cencini
Division of Haematology, Department of Clinical Medicine and Immunological Sciences, University of Siena and AOUS, Siena
Search for more papers by this authorRita Santachiara
Division of Haematology, Department of Oncology and Haematology, University of Modena and Reggio Emilia, Modena
Search for more papers by this authorRoberto Marasca
Division of Haematology, Department of Oncology and Haematology, University of Modena and Reggio Emilia, Modena
Search for more papers by this authorValter Gattei
Clinical and Experimental Onco-Haematology Unit, Centro di Riferimento Oncologico, I.R.C.C.S., Aviano (PN), Italy
Search for more papers by this authorFranco Cavalli
Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
Search for more papers by this authorEmanuele Zucca
Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
Search for more papers by this authorGianluca Gaidano
Division of Haematology, Department of Clinical and Experimental Medicine and IRCAD, Amedeo Avogadro University of Eastern Piedmont, Novara
Search for more papers by this authorFrancesco Bertoni
Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland
Search for more papers by this authorSummary
The integration of molecular and clinical information to tailor treatments remains an important research challenge in chronic lymphocytic leukaemia (CLL). This study aimed to identify genomic lesions associated with a poor outcome and a higher risk of histological transformation. A mono-institutional cohort of 147 cases was used as the test series, and a multi-institutional cohort of 176 cases as a validation series. Genomic profiles were obtained using Affymetrix SNP 6.0. The impact of the recurrent minimal common regions (MCRs) on overall survival was evaluated by univariate analysis followed by multiple-test correction. The independent prognostic significance was assessed by multivariate analysis. Eight MCRs showed a prognostic impact: gains at 2p25.3-p22.3 (MYCN), 2p22.3, 2p16.2-p14 (REL), 8q23.3-q24.3 (MYC), losses at 8p23.1-p21.2, 8p21.2, and of the TP53 locus. Gains at 2p and 8q and TP53 inactivation maintained prognostic significance in multivariate analysis and a hierarchical model confirmed their relevance. Gains at 2p also determined a higher risk of Richter syndrome transformation. The prediction of outcome for CLL patients might be improved by evaluating the presence of gains at 2p and 8q as novel genomic regions besides those included in the ‘standard’ fluorescence in situ hybridization panel.
Supporting Information
Fig S1. Diagram showing the study design and the workflow of samples.
Fig S2. Ideogram showing distribution of DNA gains and losses in 158 CLL patients.
Fig S3. The demonstration of deletions at 8p23·1-p21·2 better defines CLL prognostic groups.
Fig S4. The demonstration of gains at 8q23·3-q24·3 better defines CLL prognostic groups.
Fig S5. The demonstration of gains at 2p16·2-p14 better defines CLL prognostic groups.
Table SI. Minimal common regions (MCR) identified in the test series of 148 CLL patients and their impact on OS by univariate analysis.
Table SII. Cox regression analysis to classify patients in a hierarchical
model for OS.
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BJH_8789_sm_FigS3.tiff1.3 MB | Supporting info item |
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BJH_8789_sm_FigS5.tiff1.4 MB | Supporting info item |
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