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Lee KS, Lee CK, Kwon SS, Kwon WS, Park S, Lee ST, Choi JR, Rha SY, Shin S. Clinical relevance of clonal hematopoiesis and its interference in cell-free DNA profiling of patients with gastric cancer. Clin Chem Lab Med 2024; 62:178-186. [PMID: 37435889 DOI: 10.1515/cclm-2023-0261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 07/02/2023] [Indexed: 07/13/2023]
Abstract
OBJECTIVES Clonal hematopoiesis (CH) is a condition in which healthy individuals have somatic mutations in hematopoietic stem cells. It has been reported with increased risk of hematologic malignancy and cardiovascular disease in the general population, but studies of Korean populations with comorbid disease entities are scarce. METHODS White blood cells (WBCs) from patients with gastric cancer (GC) (n=121) were analyzed using a DNA-based targeted (531 genes) panel with customized pipeline designed to detect single nucleotide variants and small indels with low-allele-frequency of ≥0.2 %. We defined significant CH variants as having variant allele frequency (VAF) ≥2 % among variants found in WBCs. Matched cell-free DNA (cfDNA) samples were also analyzed with the same pipeline to investigate the false-positive results caused by WBC variants in cfDNA profiling. RESULTS Significant CH variants were detected in 29.8 % of patients and were associated with age and male sex. The number of CH variants was associated with a history of anti-cancer therapy and age. DNMT3A and TET2 were recurrently mutated. Overall survival rate of treatment-naïve patients with stage IV GC was higher in those with CH, but Cox regression showed no significant association after adjustment for age, sex, anti-cancer therapy, and smoking history. In addition, we analyzed the potential interference of WBC variants in plasma cell-free DNA testing, which has attracted interest as a complementary method for tissue biopsy. Results showed that 37.0 % (47/127) of plasma specimens harbored at least one WBC variant. VAFs of interfering WBC variants in the plasma and WBC were correlated, and WBC variants with VAF ≥4 % in WBC were frequently detected in plasma with the same VAF. CONCLUSIONS This study revealed the clinical impact of CH in Korean patients and suggests the potential for its interference in cfDNA tests.
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Affiliation(s)
- Kwang Seob Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Choong-Kun Lee
- Division of Medical Oncology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Song-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Soon Sung Kwon
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Woo Sun Kwon
- Song-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sejung Park
- Song-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seung-Tae Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Dxome, Seoul, Republic of Korea
| | - Jong Rak Choi
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Dxome, Seoul, Republic of Korea
| | - Sun Young Rha
- Dxome, Seoul, Republic of Korea
- Song-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
- Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Saeam Shin
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
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2
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Nguyen-Khac F, Balogh Z, Chauzeix J, Veronese L, Chapiro E. Cytogenetics in the management of chronic lymphocytic leukemia: Guidelines from the Groupe Francophone de Cytogénétique Hématologique (GFCH). Curr Res Transl Med 2023; 71:103410. [PMID: 38039634 DOI: 10.1016/j.retram.2023.103410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 09/14/2023] [Indexed: 12/03/2023]
Abstract
Chromosomal abnormalities are frequent in chronic lymphocytic leukemia (CLL), and most have prognostic value. In addition to the four well-known abnormalities (13q, 11q and 17p deletions, and trisomy 12), other recurrent aberrations have been linked to the disease outcome and/or drug resistance. Moreover, the complex karyotype has recently emerged as a prognostic marker for patients undergoing immunochemotherapy or targeted therapies. Here, we describe the main chromosomal abnormalities identified in CLL and related disorders (small lymphocytic lymphoma and monoclonal B-cell lymphocytosis) by reviewing the most recent literature and discussing their detection and clinical impact. Lastly, we provide technical guidelines and a strategy for the cytogenetic assessment of CLL.
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Affiliation(s)
- Florence Nguyen-Khac
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Inserm UMRS 1138, Drug Resistance in Hematological Malignancies Team, F-75006 Paris, France; Sorbonne Université, Paris, France; Service d'Hématologie Biologique, Bâtiment Pharmacie, 3e étage, Pitié-Salpêtrière/Charles Foix University Hospital, AP-HP, 83 Bd de l'Hôpital, Paris F-75013, France.
| | - Zsofia Balogh
- Département d'Innovation Thérapeutique et des Essais Précoces, Gustave Roussy, Villejuif, France
| | - Jasmine Chauzeix
- Service d'Hématologie biologique, CHU de Limoges - CRIBL, UMR CNRS 7276/INSERM 1262, Limoges, France
| | - Lauren Veronese
- Service de Cytogénétique Médicale, CHU Estaing, 1 place Lucie et Raymond Aubrac, Clermont-Ferrand 63003, France
| | - Elise Chapiro
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Inserm UMRS 1138, Drug Resistance in Hematological Malignancies Team, F-75006 Paris, France; Sorbonne Université, Paris, France; Service d'Hématologie Biologique, Bâtiment Pharmacie, 3e étage, Pitié-Salpêtrière/Charles Foix University Hospital, AP-HP, 83 Bd de l'Hôpital, Paris F-75013, France
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3
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Rigolin GM, Traversa A, Caputo V, Del Giudice I, Bardi A, Saccenti E, Raponi S, Ilari C, Cafforio L, Giovannetti A, Pizzuti A, Guarini A, Foà R, Cuneo A. Additional lesions identified by genomic microarrays are associated with an inferior outcome in low-risk chronic lymphocytic leukaemia patients. Br J Haematol 2023; 202:953-959. [PMID: 37357817 DOI: 10.1111/bjh.18946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/31/2023] [Accepted: 06/07/2023] [Indexed: 06/27/2023]
Abstract
We explored the relevance of genomic microarrays (GM) in the refinement of prognosis in newly diagnosed low-risk chronic lymphocytic leukaemia (CLL) patients as defined by isolated del(13q) or no lesions by a standard 4 probe fluorescence in situ hybridization (FISH) analysis. Compared to FISH, additional lesions were detected by GM in 27 of the 119 patients (22.7%). The concordance rate between FISH and GM was 87.4%. Discordant results between cytogenetic banding analysis (CBA) and GM were observed in 45/119 cases (37.8%) and were mainly due to the intrinsic characteristics of each technique. The presence of additional lesions by GM was associated with age > 65 years (p = 0.047), advanced Binet stage (p = 0.001), CLL-IPI score (p < 0.001), a complex karyotype (p = 0.004) and a worse time-to-first treatment in multivariate analysis (p = 0.009). Additional lesions by GM were also significantly associated with a worse time-to-first treatment in the subset of patients with wild-type TP53 and mutated IGHV (p = 0.025). In CLL patients with low-risk features, the presence of additional lesions identified by GM helps to identify a subset of patients with a worse outcome that could be proposed for a risk-adapted follow-up and for early treatment including targeted agents within clinical trials.
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Affiliation(s)
| | - Alice Traversa
- Department of Experimental Medicine, Sapienza University, Rome, Italy
| | - Viviana Caputo
- Department of Experimental Medicine, Sapienza University, Rome, Italy
| | - Ilaria Del Giudice
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Antonella Bardi
- Hematology Section, St. Anna University Hospital, Ferrara, Italy
| | - Elena Saccenti
- Hematology Section, St. Anna University Hospital, Ferrara, Italy
| | - Sara Raponi
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Caterina Ilari
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Luciana Cafforio
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
- GenomeUp S.r.l., Rome, Italy
| | - Agnese Giovannetti
- Clinical Genomics Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, S. Giovanni Rotondo, Italy
| | - Antonio Pizzuti
- Department of Experimental Medicine, Sapienza University, Rome, Italy
| | - Anna Guarini
- Department of Molecular Medicine, Sapienza University, Rome, Italy
| | - Robin Foà
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Antonio Cuneo
- Hematology Section, St. Anna University Hospital, Ferrara, Italy
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4
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Cennamo M, Sirocchi D, Giudici C, Giagnacovo M, Petracco G, Ferrario D, Garganigo S, Papa A, Veniani E, Squizzato A, Del Vecchio L, Patriarca C, Partenope M, Modena P. A Peculiar CLL Case with Complex Chromosome 6 Rearrangements and Refinement of All Breakpoints at the Gene Level by Genomic Array: A Case Report. J Clin Med 2023; 12:4110. [PMID: 37373803 DOI: 10.3390/jcm12124110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 06/13/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
INTRODUCTION Chronic lymphocytic leukemia (CLL), the most common leukemia in Western countries, is a mature B-cell chronic lymphoproliferative disorder characterized by the accumulation of neoplastic CD5+ B lymphocytes, functionally incompetent and usually monoclonal in origin, in bone marrow, lymph nodes and blood. Diagnosis occurs predominantly in elderly patients, with a median age reported between 67 and 72 years. CLL has a heterogeneous clinical course, which can vary from indolent to, less frequently, aggressive forms. Early-stage asymptomatic CLL patients do not require immediate therapeutic intervention, but only observation; treatment is necessary for patients with advanced disease or when "active disease" is observed. The most frequent autoimmune cytopenia (AIC) is autoimmune haemolytic anaemia (AHIA). The main mechanisms underlying the appearance of AIC in CLL are not fully elucidated, the predisposition of patients with CLL to suffering autoimmune complications is variable and autoimmune cytopenia can precede, be concurrent, or follow the diagnosis of CLL. CASE PRESENTATION A 74-year-old man was admitted to the emergency room following the finding of severe macrocytic anaemia during blood tests performed that same day, in particular the patient showed a profound asthenia dating back several months. The anamnesis was silent and the patient was not taking any medications. The blood examination showed an extremely high White Blood Cell count and findings of AIHA in CLL-type mature B-cell lymphoproliferative neoplasia. Genetic investigations: Conventional karyotyping was performed and it obtained a trisomy 8 and an unbalanced translocation between the short arm of chromosome 6 and the long arm of chromosome 11, concurrent with interstitial deletions in chromosomes 6q and 11q that could not be defined in detail. Molecular cytogenetics (FISH) analyses revealed Ataxia Telangiectasia Mutated (ATM) monoallelic deletion (with loss of ATM on derivative chromosome 11) and retained signals for TP53, 13q14 and centromere 12 FISH probes. TP53 and IGHV were not mutated. Array-CGH confirmed trisomy of the entire chromosome 8 and allowed us to resolve in detail the nature of the unbalanced translocation, revealing multiple regions of genomic losses on chromosomes 6 and 11. DISCUSSION The present case report is an unusual CLL case with complex karyotype and refinement of all breakpoints at the gene level by the genomic array. From a genetic point of view, the case under study presented several peculiarities. CONCLUSIONS We report the genetic findings of a CLL patient with abrupt disease onset, so far responding properly to treatments despite the presence of distinct genetic adverse traits including ATM deletion, complex karyotype and chromosome 6q chromoanagenesis event. Our report confirms that interphase FISH alone is not able to provide an overview of the whole genomic landscape in selected CLL cases and that additional techniques are required to reach an appropriate cytogenetic stratification of patients.
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Affiliation(s)
- Michele Cennamo
- Department of Translational Medical Sciences, University of Naples "Federico II", 80131 Naples, Italy
- Clinical Pathology and Microbiology Unit, Laboratory Analysis, ASST Lariana, Hospital Sant'Anna, 22100 Como, Italy
| | - Davide Sirocchi
- General Medicine Unit, ASST Lariana, Hospital Sant'Anna, 22100 Como, Italy
| | - Carolina Giudici
- Genetics Unit, ASST Lariana, Hospital Sant'Anna, 22100 Como, Italy
| | | | - Guido Petracco
- Pathological Unit, ASST Lariana, Hospital Sant'Anna, 22100 Como, Italy
| | - Daniela Ferrario
- Pathological Unit, ASST Lariana, Hospital Sant'Anna, 22100 Como, Italy
| | - Simona Garganigo
- Clinical Pathology and Microbiology Unit, Laboratory Analysis, ASST Lariana, Hospital Sant'Anna, 22100 Como, Italy
| | - Angela Papa
- Clinical Pathology and Microbiology Unit, Laboratory Analysis, ASST Lariana, Hospital Sant'Anna, 22100 Como, Italy
| | - Emanuela Veniani
- Clinical Pathology and Microbiology Unit, Laboratory Analysis, ASST Lariana, Hospital Sant'Anna, 22100 Como, Italy
| | - Alessandro Squizzato
- General Medicine Unit, ASST Lariana, Hospital Sant'Anna, 22100 Como, Italy
- Department of Medicine and Surgery, Research Centre on Thromboembolic Disorders and Antithrombotic Therapies, University of Insubria, 21110 Varese, Italy
| | - Lucia Del Vecchio
- Department of Nephrology and Dialysis, ASST Lariana, Hospital Sant'Anna, 22100 Como, Italy
| | - Carlo Patriarca
- Pathological Unit, ASST Lariana, Hospital Sant'Anna, 22100 Como, Italy
| | - Michelarcangelo Partenope
- Clinical Pathology and Microbiology Unit, Laboratory Analysis, ASST Lariana, Hospital Sant'Anna, 22100 Como, Italy
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5
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El Hussein S, Medeiros LJ, Lyapichev KA, Fang H, Jelloul FZ, Fiskus W, Chen J, Wei P, Schlette E, Xu J, Li S, Kanagal-Shamanna R, Yang H, Tang Z, Thakral B, Loghavi S, Jain N, Thompson PA, Ferrajoli A, Wierda WG, Jabbour E, Patel KP, Dabaja BS, Bhalla KN, Khoury JD. Immunophenotypic and genomic landscape of Richter transformation diffuse large B-cell lymphoma. Pathology 2023; 55:514-524. [PMID: 36933995 DOI: 10.1016/j.pathol.2022.12.354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 12/04/2022] [Accepted: 12/14/2022] [Indexed: 02/27/2023]
Abstract
Integrated clinicopathological and molecular analyses of Richter transformation of diffuse large B-cell lymphoma subtype (RT-DLBCL) cases remain limited. This study group included 142 patients with RT-DLBCL. Morphological evaluation and immunophenotyping, using immunohistochemistry and/or multicolour flow cytometry, were performed. The results of conventional karyotyping, fluorescence in situ hybridisation analysis and mutation profiling performed using next generation sequencing were reviewed. Patients included 91 (64.1%) men and 51 (35.9%) women with a median age of 65.4 years (range 25.4-84.9 years) at the time of RT-DLBCL diagnosis. Patients had CLL for a median of 49.5 months (range 0-330 months) before onset of RT-DLBCL. Most cases (97.2%) of RT-DLBCL had immunoblastic (IB) morphology, the remainder had a high grade morphology. The most commonly expressed markers included: CD19 (100%), PAX5 (100%), BCL2 (97.5%), LEF1 (94.7%), CD22 (90.2%), CD5 (88.6%), CD20 (85.7%), CD38 (83.5%), MUM1 (83.3%), CD23 (77%) and MYC (46.3%). Most (51/65, 78.4%) cases had a non-germinal centre B-cell immunophenotype. MYC rearrangement was detected in 9/47 (19.1%) cases, BCL2 rearrangement was detected in 5/22 (22.7%) cases, and BCL6 rearrangement was detected in 2/15 (13.3%) cases. In comparison to CLL, RT-DLBCL had higher numbers of alterations involving chromosomes 6, 17, 21, and 22. The most common mutations detected in RT-DLBCL involved TP53 (9/14, 64.3%), NOTCH1 (4/14, 28.6%) and ATM (3/14, 21.4%). Among RT-DLBCL cases with mutant TP53, 5/8 (62.5%) had TP53 copy number loss, and among those, such loss was detected in the CLL phase of the disease in 4/8 (50%) cases. There was no significant difference in overall survival (OS) between patients with germinal centre B-cell (GCB) and non-GCB RT-DLBCL. Only CD5 expression correlated significantly with OS (HR=2.732; 95% CI 1.397-5.345; p=0.0374). RT-DLBCL has distinctive morphological and immunophenotypic features, characterised by IB morphology and common expression of CD5, MUM1 and LEF1. Cell-of-origin does not seem to have prognostic implications in RT-DLBCL.
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MESH Headings
- Male
- Humans
- Female
- Adult
- Middle Aged
- Aged
- Aged, 80 and over
- Leukemia, Lymphocytic, Chronic, B-Cell
- Immunophenotyping
- Lymphoma, Large B-Cell, Diffuse/diagnosis
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/pathology
- Proto-Oncogene Proteins c-bcl-2/genetics
- Genomics
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Affiliation(s)
- Siba El Hussein
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Pathology, University of Rochester Medical Center, Rochester, NY, USA.
| | - L Jeffrey Medeiros
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kirill A Lyapichev
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Pathology, The University of Texas Medical Branch, Galveston, TX, USA
| | - Hong Fang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Fatima Zahra Jelloul
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Warren Fiskus
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jiansong Chen
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Peng Wei
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ellen Schlette
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jie Xu
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shaoying Li
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rashmi Kanagal-Shamanna
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hong Yang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Zhenya Tang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Beenu Thakral
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sanam Loghavi
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nitin Jain
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Philip A Thompson
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alessandra Ferrajoli
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - William G Wierda
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elias Jabbour
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Keyur P Patel
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bouthaina S Dabaja
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kapil N Bhalla
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Joseph D Khoury
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Pathology, The University of Nebraska Medical Center, Omaha, NE, USA.
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6
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Optical Genome Mapping as an Alternative to FISH-Based Cytogenetic Assessment in Chronic Lymphocytic Leukemia. Cancers (Basel) 2023; 15:cancers15041294. [PMID: 36831635 PMCID: PMC9953986 DOI: 10.3390/cancers15041294] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 02/08/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
The fluorescence in situ hybridization (FISH) technique plays an important role in the risk stratification and clinical management of patients with chronic lymphocytic leukemia (CLL). For genome-wide analysis, FISH needs to be complemented with other cytogenetic methods, including karyotyping and/or chromosomal microarrays. However, this is often not feasible in a diagnostic setup. Optical genome mapping (OGM) is a novel technique for high-resolution genome-wide detection of structural variants (SVs), and previous studies have indicated that OGM could serve as a generic cytogenetic tool for hematological malignancies. Herein, we report the results from our study evaluating the concordance of OGM and standard-of-care FISH in 18 CLL samples. The results were fully concordant between these two techniques in the blinded comparison. Using in silico dilution series, the lowest limit of detection with OGM was determined to range between 3 and 9% variant allele fractions. Genome-wide analysis by OGM revealed additional (>1 Mb) aberrations in 78% of the samples, including both unbalanced and balanced SVs. Importantly, OGM also enabled the detection of clinically relevant complex karyotypes, undetectable by FISH, in three samples. Overall, this study demonstrates the potential of OGM as a first-tier cytogenetic test for CLL and as a powerful tool for genome-wide SV analysis.
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MNT suppresses T cell apoptosis via BIM and is critical for T lymphomagenesis. Cell Death Differ 2023; 30:1018-1032. [PMID: 36755068 PMCID: PMC10070419 DOI: 10.1038/s41418-023-01119-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 01/11/2023] [Accepted: 01/19/2023] [Indexed: 02/10/2023] Open
Abstract
The importance of c-MYC in regulating lymphopoiesis and promoting lymphomagenesis is well-established. Far less appreciated is the vital supporting role of MYC's relative MNT. Using Rag1Cre-mediated Mnt deletion in lymphoid progenitor cells, we show here that, during normal T cell development, MNT loss enhances apoptosis, at least in part by elevating expression of the pro-apoptotic BH3-only protein BIM. Moreover, using T lymphoma-prone VavP-MYC transgenic mice, we show that Mnt deletion reduces the pool of pre-malignant MYC-driven T lymphoid cells and abrogates thymic T lymphomagenesis. In addition, we establish that Mnt deletion prevents T lymphoma development in γ-irradiated mice, most likely by enhancing apoptosis of T lymphoid cells repopulating the depleted thymus. Taken together with our recent demonstration that MNT is vital for the survival of MYC-driven pre-malignant and malignant B lymphoid cells, these results suggest that MNT represents an important new drug target for both T and B lymphoid malignancies.
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8
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Jeong H, Grimes K, Rauwolf KK, Bruch PM, Rausch T, Hasenfeld P, Benito E, Roider T, Sabarinathan R, Porubsky D, Herbst SA, Erarslan-Uysal B, Jann JC, Marschall T, Nowak D, Bourquin JP, Kulozik AE, Dietrich S, Bornhauser B, Sanders AD, Korbel JO. Functional analysis of structural variants in single cells using Strand-seq. Nat Biotechnol 2022:10.1038/s41587-022-01551-4. [PMID: 36424487 DOI: 10.1038/s41587-022-01551-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 10/07/2022] [Indexed: 11/27/2022]
Abstract
Somatic structural variants (SVs) are widespread in cancer, but their impact on disease evolution is understudied due to a lack of methods to directly characterize their functional consequences. We present a computational method, scNOVA, which uses Strand-seq to perform haplotype-aware integration of SV discovery and molecular phenotyping in single cells by using nucleosome occupancy to infer gene expression as a readout. Application to leukemias and cell lines identifies local effects of copy-balanced rearrangements on gene deregulation, and consequences of SVs on aberrant signaling pathways in subclones. We discovered distinct SV subclones with dysregulated Wnt signaling in a chronic lymphocytic leukemia patient. We further uncovered the consequences of subclonal chromothripsis in T cell acute lymphoblastic leukemia, which revealed c-Myb activation, enrichment of a primitive cell state and informed successful targeting of the subclone in cell culture, using a Notch inhibitor. By directly linking SVs to their functional effects, scNOVA enables systematic single-cell multiomic studies of structural variation in heterogeneous cell populations.
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Affiliation(s)
- Hyobin Jeong
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.,Hanyang Institute of Bioscience and Biotechnology, Hanyang University, Seoul, Republic of Korea
| | - Karen Grimes
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.,Faculty of Biosciences, EMBL and Heidelberg University, Heidelberg, Germany
| | - Kerstin K Rauwolf
- Division of Pediatric Oncology, University Children's Hospital, Zürich, Switzerland
| | - Peter-Martin Bruch
- Department of Hematology, Oncology and Rheumatology, Heidelberg University Hospital, Heidelberg, Germany.,Molecular Medicine Partnership Unit, European Molecular Biology Laboratory, University of Heidelberg, Heidelberg, Germany.,Department of Hematology and Oncology, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Tobias Rausch
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.,Molecular Medicine Partnership Unit, European Molecular Biology Laboratory, University of Heidelberg, Heidelberg, Germany
| | - Patrick Hasenfeld
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Eva Benito
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Tobias Roider
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.,Department of Hematology, Oncology and Rheumatology, Heidelberg University Hospital, Heidelberg, Germany.,Molecular Medicine Partnership Unit, European Molecular Biology Laboratory, University of Heidelberg, Heidelberg, Germany
| | | | - David Porubsky
- Center for Bioinformatics, Saarland University, Saarbrücken, Germany.,Max Planck Institute for Informatics, Saarbrücken, Germany.,Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Sophie A Herbst
- Department of Hematology, Oncology and Rheumatology, Heidelberg University Hospital, Heidelberg, Germany.,Molecular Medicine Partnership Unit, European Molecular Biology Laboratory, University of Heidelberg, Heidelberg, Germany
| | - Büşra Erarslan-Uysal
- Molecular Medicine Partnership Unit, European Molecular Biology Laboratory, University of Heidelberg, Heidelberg, Germany.,Department of Pediatric Oncology, Hematology, and Immunology, University of Heidelberg and Hopp Children's Cancer Center, Heidelberg, Germany
| | - Johann-Christoph Jann
- Department of Hematology and Oncology, Medical Faculty Mannheim of the Heidelberg University, Heidelberg, Germany
| | - Tobias Marschall
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Daniel Nowak
- Department of Hematology and Oncology, Medical Faculty Mannheim of the Heidelberg University, Heidelberg, Germany
| | - Jean-Pierre Bourquin
- Division of Pediatric Oncology, University Children's Hospital, Zürich, Switzerland
| | - Andreas E Kulozik
- Molecular Medicine Partnership Unit, European Molecular Biology Laboratory, University of Heidelberg, Heidelberg, Germany.,Department of Pediatric Oncology, Hematology, and Immunology, University of Heidelberg and Hopp Children's Cancer Center, Heidelberg, Germany
| | - Sascha Dietrich
- Department of Hematology, Oncology and Rheumatology, Heidelberg University Hospital, Heidelberg, Germany.,Molecular Medicine Partnership Unit, European Molecular Biology Laboratory, University of Heidelberg, Heidelberg, Germany.,Department of Hematology and Oncology, University Hospital Düsseldorf, Düsseldorf, Germany.,Department of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Beat Bornhauser
- Division of Pediatric Oncology, University Children's Hospital, Zürich, Switzerland
| | - Ashley D Sanders
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany. .,Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany. .,Berlin Institute of Health (BIH), Berlin, Germany. .,Charité-Universitätsmedizin, Berlin, Germany.
| | - Jan O Korbel
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany. .,Molecular Medicine Partnership Unit, European Molecular Biology Laboratory, University of Heidelberg, Heidelberg, Germany. .,Bridging Research Division on Mechanisms of Genomic Variation and Data Science, German Cancer Research Center (DKFZ), Heidelberg, Germany.
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9
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Knisbacher BA, Lin Z, Hahn CK, Nadeu F, Duran-Ferrer M, Stevenson KE, Tausch E, Delgado J, Barbera-Mourelle A, Taylor-Weiner A, Bousquets-Muñoz P, Diaz-Navarro A, Dunford A, Anand S, Kretzmer H, Gutierrez-Abril J, López-Tamargo S, Fernandes SM, Sun C, Sivina M, Rassenti LZ, Schneider C, Li S, Parida L, Meissner A, Aguet F, Burger JA, Wiestner A, Kipps TJ, Brown JR, Hallek M, Stewart C, Neuberg DS, Martín-Subero JI, Puente XS, Stilgenbauer S, Wu CJ, Campo E, Getz G. Molecular map of chronic lymphocytic leukemia and its impact on outcome. Nat Genet 2022; 54:1664-1674. [PMID: 35927489 PMCID: PMC10084830 DOI: 10.1038/s41588-022-01140-w] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 06/21/2022] [Indexed: 01/02/2023]
Abstract
Recent advances in cancer characterization have consistently revealed marked heterogeneity, impeding the completion of integrated molecular and clinical maps for each malignancy. Here, we focus on chronic lymphocytic leukemia (CLL), a B cell neoplasm with variable natural history that is conventionally categorized into two subtypes distinguished by extent of somatic mutations in the heavy-chain variable region of immunoglobulin genes (IGHV). To build the 'CLL map,' we integrated genomic, transcriptomic and epigenomic data from 1,148 patients. We identified 202 candidate genetic drivers of CLL (109 new) and refined the characterization of IGHV subtypes, which revealed distinct genomic landscapes and leukemogenic trajectories. Discovery of new gene expression subtypes further subcategorized this neoplasm and proved to be independent prognostic factors. Clinical outcomes were associated with a combination of genetic, epigenetic and gene expression features, further advancing our prognostic paradigm. Overall, this work reveals fresh insights into CLL oncogenesis and prognostication.
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Affiliation(s)
| | - Ziao Lin
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard University, Cambridge, MA, USA
| | - Cynthia K Hahn
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ferran Nadeu
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Martí Duran-Ferrer
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | | | - Eugen Tausch
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Julio Delgado
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Servicio de Hematología, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Alex Barbera-Mourelle
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
| | | | - Pablo Bousquets-Muñoz
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | - Ander Diaz-Navarro
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | | | | | - Helene Kretzmer
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Jesus Gutierrez-Abril
- Computational Oncology Service, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sara López-Tamargo
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | - Stacey M Fernandes
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Clare Sun
- Laboratory of Lymphoid Malignancies, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mariela Sivina
- Department of Leukemia, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Laura Z Rassenti
- Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA
| | | | - Shuqiang Li
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Alexander Meissner
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | | | - Jan A Burger
- Department of Leukemia, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Adrian Wiestner
- Laboratory of Lymphoid Malignancies, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Thomas J Kipps
- Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA
| | - Jennifer R Brown
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Michael Hallek
- Center for Molecular Medicine, Cologne, Germany
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf and German CLL Study Group, University of Cologne, Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Chip Stewart
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Donna S Neuberg
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - José I Martín-Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
- Departament de Fonaments Clinics, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Xose S Puente
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | | | - Catherine J Wu
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
| | - Elias Campo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Departament de Fonaments Clinics, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
- Hematopathology Section, Laboratory of Pathology, Hospital Clinic of Barcelona, Barcelona, Spain
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
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10
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Robbe P, Ridout KE, Vavoulis DV, Dréau H, Kinnersley B, Denny N, Chubb D, Appleby N, Cutts A, Cornish AJ, Lopez-Pascua L, Clifford R, Burns A, Stamatopoulos B, Cabes M, Alsolami R, Antoniou P, Oates M, Cavalieri D, Gibson J, Prabhu AV, Schwessinger R, Jennings D, James T, Maheswari U, Duran-Ferrer M, Carninci P, Knight SJL, Månsson R, Hughes J, Davies J, Ross M, Bentley D, Strefford JC, Devereux S, Pettitt AR, Hillmen P, Caulfield MJ, Houlston RS, Martín-Subero JI, Schuh A. Whole-genome sequencing of chronic lymphocytic leukemia identifies subgroups with distinct biological and clinical features. Nat Genet 2022; 54:1675-1689. [PMID: 36333502 PMCID: PMC9649442 DOI: 10.1038/s41588-022-01211-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 09/16/2022] [Indexed: 11/06/2022]
Abstract
The value of genome-wide over targeted driver analyses for predicting clinical outcomes of cancer patients is debated. Here, we report the whole-genome sequencing of 485 chronic lymphocytic leukemia patients enrolled in clinical trials as part of the United Kingdom's 100,000 Genomes Project. We identify an extended catalog of recurrent coding and noncoding genetic mutations that represents a source for future studies and provide the most complete high-resolution map of structural variants, copy number changes and global genome features including telomere length, mutational signatures and genomic complexity. We demonstrate the relationship of these features with clinical outcome and show that integration of 186 distinct recurrent genomic alterations defines five genomic subgroups that associate with response to therapy, refining conventional outcome prediction. While requiring independent validation, our findings highlight the potential of whole-genome sequencing to inform future risk stratification in chronic lymphocytic leukemia.
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Affiliation(s)
- Pauline Robbe
- Department of Oncology, University of Oxford, Oxford, UK
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kate E Ridout
- Department of Oncology, University of Oxford, Oxford, UK
| | | | - Helene Dréau
- Department of Oncology, University of Oxford, Oxford, UK
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - Nicholas Denny
- Department of Medicine, Medical Research Council Molecular Haematology Unit, Medical Research Council Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Daniel Chubb
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - Niamh Appleby
- Department of Oncology, University of Oxford, Oxford, UK
| | - Anthony Cutts
- Department of Oncology, University of Oxford, Oxford, UK
| | - Alex J Cornish
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | | | - Ruth Clifford
- Department of Haematology, University Hospital Limerick, Limerick, Ireland
- Limerick Digital Cancer Research Centre, School of Medicine,University of Limerick, Limerick, Ireland
| | - Adam Burns
- Department of Oncology, University of Oxford, Oxford, UK
| | - Basile Stamatopoulos
- Laboratory of Clinical Cell Therapy, Jules Bordet Institute, ULB Cancer Research Center (U-CRC)- Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Maite Cabes
- Oxford Molecular Diagnostics Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Reem Alsolami
- Department of Medical Laboratory Technology, King Abdulaziz University, Jeddah, Saudi Arabia
| | | | | | - Doriane Cavalieri
- Department of Haematology, CHU de Clermont-Ferrand, Clermont-Ferrand, France
| | - Jane Gibson
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Anika V Prabhu
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Ron Schwessinger
- Department of Medicine, Medical Research Council Molecular Haematology Unit, Medical Research Council Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Daisy Jennings
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | | | | | - Martí Duran-Ferrer
- Biomedical Epigenomics Group, Institut d'Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Piero Carninci
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Human Technopole, Milan, Italy
| | - Samantha J L Knight
- Oxford University Clinical Academic Graduate School, University of Oxford Medical Sciences Division, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Robert Månsson
- Center for Hematology and Regenerative Medicine Huddinge, Karolinska Institute, Stockholm, Sweden
| | - Jim Hughes
- Department of Medicine, Medical Research Council Molecular Haematology Unit, Medical Research Council Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - James Davies
- Department of Medicine, Medical Research Council Molecular Haematology Unit, Medical Research Council Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Mark Ross
- Illumina Cambridge Ltd., Cambridge, UK
| | | | - Jonathan C Strefford
- Cancer Genomics, Cancer Sciences, Faculty of Medicine, Group University of Southampton, Southampton, UK
| | - Stephen Devereux
- King's College Hospital, NHS Foundation Trust, London, UK
- Kings College London, London, UK
| | - Andrew R Pettitt
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
- Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, UK
| | | | - Mark J Caulfield
- Genomics England, London, UK
- William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - José I Martín-Subero
- Human Technopole, Milan, Italy
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Anna Schuh
- Department of Oncology, University of Oxford, Oxford, UK.
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11
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Edelmann J. NOTCH1 Signalling: A key pathway for the development of high-risk chronic lymphocytic leukaemia. Front Oncol 2022; 12:1019730. [DOI: 10.3389/fonc.2022.1019730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 09/12/2022] [Indexed: 11/13/2022] Open
Abstract
NOTCH1 is a cell surface receptor that releases its intracellular domain as transcription factor upon activation. With the advent of next-generation sequencing, the NOTCH1 gene was found recurrently mutated in chronic lymphocytic leukaemia (CLL). Here, virtually all NOTCH1 mutations affect the protein’s PEST-domain and impair inactivation and degradation of the released transcription factor, thus increasing NOTCH1 signalling strength. Besides sequence alterations directly affecting the NOTCH1 gene, multiple other genomic and non-genomic alterations have by now been identified in CLL cells that could promote an abnormally strong NOTCH1 signalling strength. This renders NOTCH1 one of the key signalling pathways in CLL pathophysiology. The frequency of genomic alterations affecting NOTCH1 signalling is rising over the CLL disease course culminating in the observation that besides TP53 loss, 8q gain and CDKN2A/B loss, NOTCH1 mutation is a hallmark genomic alteration associated with transformation of CLL into an aggressive lymphoma (Richter transformation). Both findings associate de-regulated NOTCH1 signalling with the development of high-risk CLL. This narrative review provides data on the role of NOTCH1 mutation for CLL development and progression, discusses the impact of NOTCH1 mutation on treatment response, gives insight into potential modes of NOTCH1 pathway activation and regulation, summarises alterations that have been discussed to contribute to a de-regulation of NOTCH1 signalling in CLL cells and provides a perspective on how to assess NOTCH1 signalling in CLL samples.
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12
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Rosenquist R, Cuppen E, Buettner R, Caldas C, Dreau H, Elemento O, Frederix G, Grimmond S, Haferlach T, Jobanputra V, Meggendorfer M, Mullighan CG, Wordsworth S, Schuh A. Clinical utility of whole-genome sequencing in precision oncology. Semin Cancer Biol 2022; 84:32-39. [PMID: 34175442 DOI: 10.1016/j.semcancer.2021.06.018] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 06/02/2021] [Accepted: 06/22/2021] [Indexed: 12/14/2022]
Abstract
Precision diagnostics is one of the two pillars of precision medicine. Sequencing efforts in the past decade have firmly established cancer as a primarily genetically driven disease. This concept is supported by therapeutic successes aimed at particular pathways that are perturbed by specific driver mutations in protein-coding domains and reflected in three recent FDA tissue agnostic cancer drug approvals. In addition, there is increasing evidence from studies that interrogate the entire genome by whole-genome sequencing that acquired global and complex genomic aberrations including those in non-coding regions of the genome might also reflect clinical outcome. After addressing technical, logistical, financial and ethical challenges, national initiatives now aim to introduce clinical whole-genome sequencing into real-world diagnostics as a rational and potentially cost-effective tool for response prediction in cancer and to identify patients who would benefit most from 'expensive' targeted therapies and recruitment into clinical trials. However, so far, this has not been accompanied by a systematic and prospective evaluation of the clinical utility of whole-genome sequencing within clinical trials of uniformly treated patients of defined clinical outcome. This approach would also greatly facilitate novel predictive biomarker discovery and validation, ultimately reducing size and duration of clinical trials and cost of drug development. This manuscript is the third in a series of three to review and critically appraise the potential and challenges of clinical whole-genome sequencing in solid tumors and hematological malignancies.
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Affiliation(s)
- Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Genetics, Karolinska University Hospital, Solna, Sweden
| | - Edwin Cuppen
- Hartwig Medical Foundation, Amsterdam, The Netherlands; Center for Molecular Medicine and Oncode Institute, University Medical Center, Utrecht, The Netherlands
| | | | - Carlos Caldas
- Cancer Research UK Cambridge Institute and Department of Oncology, University of Cambridge, United Kingdom
| | - Helene Dreau
- NIHR Oxford Biomedical Research Centre and Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Olivier Elemento
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, United States; Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, United States
| | - Geert Frederix
- Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands
| | - Sean Grimmond
- Centre for Cancer Research, University of Melbourne, Melbourne, Australia
| | | | - Vaidehi Jobanputra
- New York Genome Center, 101 Avenue of the Americas, New York, NY 100132, United States; Columbia University Medical Center, 650 W 168th St, New York, NY 10032, United States
| | | | - Charles G Mullighan
- Department of Pathology, St. Jude Children's Research Hospital, United States
| | - Sarah Wordsworth
- Nuffield Department of Population Health and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Anna Schuh
- NIHR Oxford Biomedical Research Centre and Department of Oncology, University of Oxford, Oxford, United Kingdom.
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13
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Ramos-Campoy S, Puiggros A, Kamaso J, Beà S, Bougeon S, Larráyoz MJ, Costa D, Parker H, Rigolin GM, Blanco ML, Collado R, Ancín I, Salgado R, Moro-García MA, Baumann T, Gimeno E, Moreno C, Salido M, Calvo X, Calasanz MJ, Cuneo A, Nguyen-Khac F, Oscier D, Haferlach C, Strefford JC, Schoumans J, Espinet B. TP53 Abnormalities Are Underlying the Poor Outcome Associated with Chromothripsis in Chronic Lymphocytic Leukemia Patients with Complex Karyotype. Cancers (Basel) 2022; 14:3715. [PMID: 35954380 PMCID: PMC9367500 DOI: 10.3390/cancers14153715] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/22/2022] [Accepted: 07/27/2022] [Indexed: 11/17/2022] Open
Abstract
Chromothripsis (cth) has been associated with a dismal outcome and poor prognosis factors in patients with chronic lymphocytic leukemia (CLL). Despite being correlated with high genome instability, previous studies have not assessed the role of cth in the context of genomic complexity. Herein, we analyzed a cohort of 33 CLL patients with cth and compared them against a cohort of 129 non-cth cases with complex karyotypes. Nine cth cases were analyzed using optical genome mapping (OGM). Patterns detected by genomic microarrays were compared and the prognostic value of cth was analyzed. Cth was distributed throughout the genome, with chromosomes 3, 6 and 13 being those most frequently affected. OGM detected 88.1% of the previously known copy number alterations and several additional cth-related rearrangements (median: 9, range: 3-26). Two patterns were identified: one with rearrangements clustered in the region with cth (3/9) and the other involving both chromothriptic and non-chromothriptic chromosomes (6/9). Cases with cth showed a shorter time to first treatment (TTFT) than non-cth patients (median TTFT: 2 m vs. 15 m; p = 0.013). However, when stratifying patients based on TP53 status, cth did not affect TTFT. Only TP53 maintained its significance in the multivariate analysis for TTFT, including cth and genome complexity defined by genomic microarrays (HR: 1.60; p = 0.029). Our findings suggest that TP53 abnormalities, rather than cth itself, underlie the poor prognosis observed in this subset.
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Affiliation(s)
- Silvia Ramos-Campoy
- Molecular Cytogenetics and Hematological Cytology Laboratories, Pathology Department, Hospital del Mar, 08003 Barcelona, Spain; (S.R.-C.); (J.K.); (E.G.); (M.S.); (X.C.)
- Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), 08003 Barcelona, Spain
| | - Anna Puiggros
- Molecular Cytogenetics and Hematological Cytology Laboratories, Pathology Department, Hospital del Mar, 08003 Barcelona, Spain; (S.R.-C.); (J.K.); (E.G.); (M.S.); (X.C.)
- Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), 08003 Barcelona, Spain
| | - Joanna Kamaso
- Molecular Cytogenetics and Hematological Cytology Laboratories, Pathology Department, Hospital del Mar, 08003 Barcelona, Spain; (S.R.-C.); (J.K.); (E.G.); (M.S.); (X.C.)
- Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), 08003 Barcelona, Spain
| | - Sílvia Beà
- Hematopathology Section, Department of Pathology, Hospital Clínic, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain; (S.B.); (D.C.); (T.B.)
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
| | - Sandrine Bougeon
- Oncogenomic Laboratory, Hematology Service, Lausanne University Hospital, 1011 Lausanne, Switzerland; (S.B.); (J.S.)
| | - María José Larráyoz
- Cytogenetics and Hematological Genetics Services, Department of Genetics, University of Navarra, 31008 Pamplona, Spain; (M.J.L.); (M.J.C.)
| | - Dolors Costa
- Hematopathology Section, Department of Pathology, Hospital Clínic, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain; (S.B.); (D.C.); (T.B.)
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
| | - Helen Parker
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK; (H.P.); (J.C.S.)
| | - Gian Matteo Rigolin
- Hematology Section, St. Anna University Hospital, 44121 Ferrara, Italy; (G.M.R.); (A.C.)
| | - María Laura Blanco
- Department of Hematology, Hospital de la Santa Creu I Sant Pau, 08041 Barcelona, Spain; (M.L.B.); (C.M.)
| | - Rosa Collado
- Department of Hematology, Consorcio Hospital General Universitario, 46014 Valencia, Spain;
| | - Idoya Ancín
- Department of Hematology and Hemotherapy, Hospital Universitario Cruces, 48903 Bilbao, Spain;
| | - Rocío Salgado
- Cytogenetics Laboratory, Hematology Department, Fundación Jiménez Díaz, 28040 Madrid, Spain;
| | - Marco A. Moro-García
- Laboratory Medicine Department, Hospital Universitario Central de Asturias, 33011 Oviedo, Spain;
| | - Tycho Baumann
- Hematopathology Section, Department of Pathology, Hospital Clínic, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain; (S.B.); (D.C.); (T.B.)
| | - Eva Gimeno
- Molecular Cytogenetics and Hematological Cytology Laboratories, Pathology Department, Hospital del Mar, 08003 Barcelona, Spain; (S.R.-C.); (J.K.); (E.G.); (M.S.); (X.C.)
- Applied Clinical Research in Hematological Malignances, Cancer Research Program, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), 08003 Barcelona, Spain
| | - Carol Moreno
- Department of Hematology, Hospital de la Santa Creu I Sant Pau, 08041 Barcelona, Spain; (M.L.B.); (C.M.)
| | - Marta Salido
- Molecular Cytogenetics and Hematological Cytology Laboratories, Pathology Department, Hospital del Mar, 08003 Barcelona, Spain; (S.R.-C.); (J.K.); (E.G.); (M.S.); (X.C.)
- Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), 08003 Barcelona, Spain
| | - Xavier Calvo
- Molecular Cytogenetics and Hematological Cytology Laboratories, Pathology Department, Hospital del Mar, 08003 Barcelona, Spain; (S.R.-C.); (J.K.); (E.G.); (M.S.); (X.C.)
- Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), 08003 Barcelona, Spain
| | - María José Calasanz
- Cytogenetics and Hematological Genetics Services, Department of Genetics, University of Navarra, 31008 Pamplona, Spain; (M.J.L.); (M.J.C.)
| | - Antonio Cuneo
- Hematology Section, St. Anna University Hospital, 44121 Ferrara, Italy; (G.M.R.); (A.C.)
| | - Florence Nguyen-Khac
- Sorbonne University, Hematology Department, Hôpital Pitié-Salpêtrière, APHP, INSERM U1138, 75013 Paris, France;
| | - David Oscier
- Department of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth BH7 7DW, UK;
| | | | - Jonathan C. Strefford
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK; (H.P.); (J.C.S.)
| | - Jacqueline Schoumans
- Oncogenomic Laboratory, Hematology Service, Lausanne University Hospital, 1011 Lausanne, Switzerland; (S.B.); (J.S.)
| | - Blanca Espinet
- Molecular Cytogenetics and Hematological Cytology Laboratories, Pathology Department, Hospital del Mar, 08003 Barcelona, Spain; (S.R.-C.); (J.K.); (E.G.); (M.S.); (X.C.)
- Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), 08003 Barcelona, Spain
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14
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Ondroušková E, Bohúnová M, Závacká K, Čech P, Šmuhařová P, Boudný M, Oršulová M, Panovská A, Radová L, Doubek M, Plevová K, Jarošová M. Duplication of 8q24 in Chronic Lymphocytic Leukemia: Cytogenetic and Molecular Biologic Analysis of MYC Aberrations. Front Oncol 2022; 12:859618. [PMID: 35814434 PMCID: PMC9263084 DOI: 10.3389/fonc.2022.859618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 05/25/2022] [Indexed: 11/13/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL) with cytogenetics findings, such as complex karyotype and deletions of TP53 or ATM, is associated with adverse clinical outcomes. Additional chromosomal abnormalities further stratify patients into groups with diverse prognoses. Gain of 8q24 is one of the abnormalities considered as prognostically unfavorable. In our study, we performed a FISH analysis in an initial cohort of 303 consecutive CLL patients and determined the frequency of +8q to be 6.3 %. Our analysis confirmed the association with TP53/ATM aberrations and CK, as the frequency of +8q reached 26.7 % in an extended delTP53/ATM+CK cohort. M-FISH analysis enabled the identification of partner chromosomes where the segment of the duplicated 8q arm was localized. More detailed mapping of the gained 8q region using the M-BAND method determined the smallest amplified region 8q23-8qter. We observed significantly shorter overall survival (OS; 9.0 years in +8q-positive vs. 10.6 years in +8q-negative; p=0.02) and detected slightly higher MYC mRNA/protein levels in +8q-positive vs. +8q-negative patients.
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Affiliation(s)
- Eva Ondroušková
- Department of Internal Medicine – Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czechia
| | - Michaela Bohúnová
- Department of Internal Medicine – Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czechia
| | - Kristýna Závacká
- Department of Internal Medicine – Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czechia
- Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Patrik Čech
- Department of Internal Medicine – Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czechia
| | - Petra Šmuhařová
- Department of Internal Medicine – Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czechia
| | - Miroslav Boudný
- Department of Internal Medicine – Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czechia
- Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Martina Oršulová
- Department of Internal Medicine – Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czechia
| | - Anna Panovská
- Department of Internal Medicine – Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czechia
| | - Lenka Radová
- Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Michael Doubek
- Department of Internal Medicine – Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czechia
- Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czechia
- Institute of Medical Genetics and Genomics, Faculty of Medicine, Masaryk University, Brno, Czechia
| | - Karla Plevová
- Department of Internal Medicine – Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czechia
- Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czechia
- Institute of Medical Genetics and Genomics, Faculty of Medicine, Masaryk University, Brno, Czechia
| | - Marie Jarošová
- Department of Internal Medicine – Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czechia
- *Correspondence: Marie Jarošová,
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15
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Tanaskovic N, Dalsass M, Filipuzzi M, Ceccotti G, Verrecchia A, Nicoli P, Doni M, Olivero D, Pasini D, Koseki H, Sabò A, Bisso A, Amati B. Polycomb group ring finger protein 6 suppresses Myc-induced lymphomagenesis. Life Sci Alliance 2022; 5:5/8/e202101344. [PMID: 35422437 PMCID: PMC9012912 DOI: 10.26508/lsa.202101344] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 04/04/2022] [Accepted: 04/04/2022] [Indexed: 12/15/2022] Open
Abstract
Max dimerizes with Mga to form the repressive complex PRC1.6; another PRC1.6 subunit, Pcgf6, suppresses Myc-induced lymphomagenesis but, unexpectedly, does so in a Mga- and PRC1.6-independent manner. Max is an obligate dimerization partner for the Myc transcription factors and for several repressors, such as Mnt, Mxd1-4, and Mga, collectively thought to antagonize Myc function in transcription and oncogenesis. Mga, in particular, is part of the variant Polycomb group repressive complex PRC1.6. Here, we show that ablation of the distinct PRC1.6 subunit Pcgf6–but not Mga–accelerates Myc-induced lymphomagenesis in Eµ-myc transgenic mice. Unexpectedly, however, Pcgf6 loss shows no significant impact on transcriptional profiles, in neither pre-tumoral B-cells, nor lymphomas. Altogether, these data unravel an unforeseen, Mga- and PRC1.6-independent tumor suppressor activity of Pcgf6.
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Affiliation(s)
| | - Mattia Dalsass
- European Institute of Oncology (IEO) - IRCCS, Milan, Italy
| | | | | | | | - Paola Nicoli
- European Institute of Oncology (IEO) - IRCCS, Milan, Italy
| | - Mirko Doni
- European Institute of Oncology (IEO) - IRCCS, Milan, Italy
| | - Daniela Olivero
- Laboratorio Analisi Veterinarie BiEsseA, A Company of Scil Animal Care Company Srl, Milan, Italy
| | - Diego Pasini
- European Institute of Oncology (IEO) - IRCCS, Milan, Italy
- Department of Health Sciences, University of Milan, Milan, Italy
| | - Haruhiko Koseki
- Laboratory of Developmental Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Cellular and Molecular Medicine, Advanced Research Departments, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Arianna Sabò
- European Institute of Oncology (IEO) - IRCCS, Milan, Italy
| | - Andrea Bisso
- European Institute of Oncology (IEO) - IRCCS, Milan, Italy
| | - Bruno Amati
- European Institute of Oncology (IEO) - IRCCS, Milan, Italy
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16
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Ramos-Campoy S, Puiggros A, Beà S, Bougeon S, Larráyoz MJ, Costa D, Parker H, Rigolin GM, Ortega M, Blanco ML, Collado R, Salgado R, Baumann T, Gimeno E, Moreno C, Bosch F, Calvo X, Calasanz MJ, Cuneo A, Strefford JC, Nguyen-Khac F, Oscier D, Haferlach C, Schoumans J, Espinet B. Chromosome banding analysis and genomic microarrays are both useful but not equivalent methods for genomic complexity risk stratification in chronic lymphocytic leukemia patients. Haematologica 2022; 107:593-603. [PMID: 33691382 PMCID: PMC8883543 DOI: 10.3324/haematol.2020.274456] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 02/26/2021] [Indexed: 11/09/2022] Open
Abstract
Genome complexity has been associated with poor outcome in patients with chronic lymphocytic leukemia (CLL). Previous cooperative studies established five abnormalities as the cut-off that best predicts an adverse evolution by chromosome banding analysis (CBA) and genomic microarrays (GM). However, data comparing risk stratification by both methods are scarce. Herein, we assessed a cohort of 340 untreated CLL patients highly enriched in cases with complex karyotype (CK) (46.5%) with parallel CBA and GM studies. Abnormalities found by both techniques were compared. Prognostic stratification in three risk groups based on genomic complexity (0-2, 3- 4 and ≥5 abnormalities) was also analyzed. No significant differences in the percentage of patients in each group were detected, but only a moderate agreement was observed between methods when focusing on individual cases (κ=0.507; P<0.001). Discordant classification was obtained in 100 patients (29.4%), including 3% classified in opposite risk groups. Most discrepancies were technique-dependent and no greater correlation in the number of abnormalities was achieved when different filtering strategies were applied for GM. Nonetheless, both methods showed a similar concordance index for prediction of time to first treatment (TTFT) (CBA: 0.67 vs. GM: 0.65) and overall survival (CBA: 0.55 vs. GM: 0.57). High complexity maintained its significance in the multivariate analysis for TTFT including TP53 and IGHV status when defined by CBA (hazard ratio [HR] 3.23; P<0.001) and GM (HR 2.74; P<0.001). Our findings suggest that both methods are useful but not equivalent for risk stratification of CLL patients. Validation studies are needed to establish the prognostic value of genome complexity based on GM data in future prospective studies.
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Affiliation(s)
- Silvia Ramos-Campoy
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, Barcelona, Spain; Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - Anna Puiggros
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, Barcelona, Spain; Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain.
| | - Sílvia Beà
- Hematopathology Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERONC, Barcelona, Spain
| | - Sandrine Bougeon
- Oncogenomic Laboratory, Hematology Service, Lausanne University Hospital, Lausanne, Switzerland
| | - María José Larráyoz
- Cytogenetics and Hematological Genetics Services, Department of Genetics, University of Navarra, Pamplona, Spain
| | - Dolors Costa
- Hematopathology Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERONC, Barcelona, Spain
| | - Helen Parker
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | | | - Margarita Ortega
- Department of Hematology, University Hospital Vall d'Hebron, Barcelona, Spain
| | - María Laura Blanco
- Department of Hematology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Rosa Collado
- Department of Hematology, Consorcio Hospital General Universitario, Valencia, Spain
| | - Rocío Salgado
- Cytogenetics Laboratory, Hematology Department, Fundación Jiménez Díaz, Madrid, Spain
| | - Tycho Baumann
- Hematopathology Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERONC, Barcelona, Spain
| | - Eva Gimeno
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, Barcelona, Spain; Applied Clinical Research in Hematological Malignances, Cancer Research Program, IMIMHospital del Mar, Barcelona, Spain
| | - Carolina Moreno
- Department of Hematology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Francesc Bosch
- Department of Hematology, University Hospital Vall d'Hebron, Barcelona, Spain
| | - Xavier Calvo
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, Barcelona, Spain; Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - María José Calasanz
- Cytogenetics and Hematological Genetics Services, Department of Genetics, University of Navarra, Pamplona, Spain
| | - Antonio Cuneo
- Hematology Section, St. Anna University Hospital, Ferrara, Italy
| | - Jonathan C Strefford
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Florence Nguyen-Khac
- Hematology Department and Sorbonne Université, Hopital Pitie-Salpetriere, APHP, INSERM U1138, Paris, France
| | - David Oscier
- Department of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth, UK
| | | | - Jacqueline Schoumans
- Oncogenomic Laboratory, Hematology Service, Lausanne University Hospital, Lausanne, Switzerland
| | - Blanca Espinet
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, Barcelona, Spain; Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain.
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17
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Normal and Neoplastic Growth Suppression by the Extended Myc Network. Cells 2022; 11:cells11040747. [PMID: 35203395 PMCID: PMC8870482 DOI: 10.3390/cells11040747] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 02/09/2022] [Accepted: 02/15/2022] [Indexed: 12/20/2022] Open
Abstract
Among the first discovered and most prominent cellular oncogenes is MYC, which encodes a bHLH-ZIP transcription factor (Myc) that both activates and suppresses numerous genes involved in proliferation, energy production, metabolism and translation. Myc belongs to a small group of bHLH-ZIP transcriptional regulators (the Myc Network) that includes its obligate heterodimerization partner Max and six "Mxd proteins" (Mxd1-4, Mnt and Mga), each of which heterodimerizes with Max and largely opposes Myc's functions. More recently, a second group of bHLH-ZIP proteins (the Mlx Network) has emerged that bears many parallels with the Myc Network. It is comprised of the Myc-like factors ChREBP and MondoA, which, in association with the Max-like member Mlx, regulate smaller and more functionally restricted repertoires of target genes, some of which are shared with Myc. Opposing ChREBP and MondoA are heterodimers comprised of Mlx and Mxd1, Mxd4 and Mnt, which also structurally and operationally link the two Networks. We discuss here the functions of these "Extended Myc Network" members, with particular emphasis on their roles in suppressing normal and neoplastic growth. These roles are complex due to the temporal- and tissue-restricted expression of Extended Myc Network proteins in normal cells, their regulation of both common and unique target genes and, in some cases, their functional redundancy.
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18
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Super enhancers as master gene regulators in the pathogenesis of hematologic malignancies. Biochim Biophys Acta Rev Cancer 2022; 1877:188697. [PMID: 35150791 DOI: 10.1016/j.bbcan.2022.188697] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/20/2022] [Accepted: 02/04/2022] [Indexed: 12/17/2022]
Abstract
Transcriptional deregulation of multiple oncogenes, tumor suppressors and survival pathways is a cancer cell hallmark. Super enhancers (SE) are long stretches of active enhancers in close linear proximity that ensure extraordinarily high expression levels of key genes associated with cell lineage, function and survival. SE landscape is intrinsically prone to changes and reorganization during the course of normal cell differentiation. This functional plasticity is typically utilized by cancer cells, which remodel their SE landscapes to ensure oncogenic transcriptional reprogramming. Multiple recent studies highlighted structural genetic mechanisms in non-coding regions that create new SE or hijack already existing ones. In addition, alterations in abundance/activity of certain SE-associated proteins or certain viral infections can elicit new super enhancers and trigger SE-driven transcriptional changes. For these reasons, SE profiling emerged as a powerful tool for discovering the core transcriptional regulatory circuits in tumor cells. This, in turn, provides new insights into cancer cell biology, and identifies main nodes of key cellular pathways to be potentially targeted. Since SEs are susceptible to inhibition, their disruption results in exponentially amassing 'butterfly' effect on gene expression and cell function. Moreover, many of SE elements are druggable, opening new therapeutic opportunities. Indeed, SE targeting drugs have been studied preclinically in various hematologic malignancies with promising effects. Herein, we review the unique features of SEs, present different cis- and trans-acting mechanisms through which hematologic tumor cells acquire SEs, and finally, discuss the potential of SE targeting in the therapy of hematologic malignancies.
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19
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Tonge DP, Darling D, Farzaneh F, Williams GT. Whole-genome-scale identification of novel non-protein-coding RNAs controlling cell proliferation and survival through a functional forward genetics strategy. Sci Rep 2022; 12:182. [PMID: 34997014 PMCID: PMC8741825 DOI: 10.1038/s41598-021-03983-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 12/13/2021] [Indexed: 12/29/2022] Open
Abstract
Identification of cell fate-controlling lncRNAs is essential to our understanding of molecular cell biology. Here we present a human genome-scale forward-genetics approach for the identification of lncRNAs based on gene function. This approach can identify genes that play a causal role, and immediately distinguish them from those that are differentially expressed but do not affect cell function. Our genome-scale library plus next-generation-sequencing and bioinformatic approach, radically upscales the breadth and rate of functional ncRNA discovery. Human gDNA was digested to produce a lentiviral expression library containing inserts in both sense and anti-sense orientation. The library was used to transduce human Jurkat T-leukaemic cells. Cell populations were selected using continuous culture ± anti-FAS IgM, and sequencing used to identify sequences controlling cell proliferation. This strategy resulted in the identification of thousands of new sequences based solely on their function including many ncRNAs previously identified as being able to modulate cell survival or to act as key cancer regulators such as AC084816.1*, AC097103.2, AC087473.1, CASC15*, DLEU1*, ENTPD1-AS1*, HULC*, MIRLET7BHG*, PCAT-1, SChLAP1, and TP53TG1. Independent validation confirmed 4 out of 5 sequences that were identified by this strategy, conferred a striking resistance to anti-FAS IgM-induced apoptosis.
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Affiliation(s)
- D P Tonge
- Faculty of Natural Sciences, School of Life Sciences, Keele University, Keele, ST5 5BG, UK.
| | - D Darling
- Molecular Medicine Group, Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, Kings College London, London, UK
| | - F Farzaneh
- Molecular Medicine Group, Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, Kings College London, London, UK
| | - G T Williams
- Faculty of Natural Sciences, School of Life Sciences, Keele University, Keele, ST5 5BG, UK
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20
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Zavacka K, Plevova K. Chromothripsis in Chronic Lymphocytic Leukemia: A Driving Force of Genome Instability. Front Oncol 2021; 11:771664. [PMID: 34900721 PMCID: PMC8661134 DOI: 10.3389/fonc.2021.771664] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 11/01/2021] [Indexed: 11/22/2022] Open
Abstract
Chromothripsis represents a mechanism of massive chromosome shattering and reassembly leading to the formation of derivative chromosomes with abnormal functions and expression. It has been observed in many cancer types, importantly, including chronic lymphocytic leukemia (CLL). Due to the associated chromosomal rearrangements, it has a significant impact on the pathophysiology of the disease. Recent studies have suggested that chromothripsis may be more common than initially inferred, especially in CLL cases with adverse clinical outcome. Here, we review the main features of chromothripsis, the challenges of its assessment, and the potential benefit of its detection. We summarize recent findings of chromothripsis occurrence across hematological malignancies and address its causes and consequences in the context of CLL clinical features, as well as chromothripsis-related molecular abnormalities described in published CLL studies. Furthermore, we discuss the use of the current knowledge about genome functions associated with chromothripsis in the optimization of treatment strategies in CLL.
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Affiliation(s)
- Kristyna Zavacka
- Department of Internal Medicine - Hematology and Oncology, University Hospital Brno & Faculty of Medicine, Masaryk University, Brno, Czechia.,Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Karla Plevova
- Department of Internal Medicine - Hematology and Oncology, University Hospital Brno & Faculty of Medicine, Masaryk University, Brno, Czechia.,Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czechia.,Institute of Medical Genetics and Genomics, University Hospital Brno & Masaryk University, Brno, Czechia
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21
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Hatanaka Y, Niinuma T, Kitajima H, Nishiyama K, Maruyama R, Ishiguro K, Toyota M, Yamamoto E, Kai M, Yorozu A, Sekiguchi S, Ogi K, Dehari H, Idogawa M, Sasaki Y, Tokino T, Miyazaki A, Suzuki H. DLEU1 promotes oral squamous cell carcinoma progression by activating interferon-stimulated genes. Sci Rep 2021; 11:20438. [PMID: 34650128 PMCID: PMC8516910 DOI: 10.1038/s41598-021-99736-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 09/30/2021] [Indexed: 11/09/2022] Open
Abstract
Long noncoding RNAs (lncRNAs) are deeply involved in cancer development. We previously reported that DLEU1 (deleted in lymphocytic leukemia 1) is one of the lncRNAs overexpressed in oral squamous cell carcinoma (OSCC) cells, where it exhibits oncogenic activity. In the present study, we further clarified the molecular function of DLEU1 in the pathogenesis of OSCC. Chromatin immunoprecipitation-sequencing (ChIP-seq) analysis revealed that DLEU1 knockdown induced significant changes in the levels of histone H3 lysine 4 trimethylation (H3K4me3) and H3K27 acetylation (H3K27ac) in OSCC cells. Notably, DLEU1 knockdown suppressed levels of H3K4me3/ H3K27ac and expression of a number of interferon-stimulated genes (ISGs), including IFIT1, IFI6 and OAS1, while ectopic DLEU1 expression activated these genes. Western blot analysis and reporter assays suggested that DLEU1 upregulates ISGs through activation of JAK-STAT signaling in OSCC cells. Moreover, IFITM1, one of the ISGs induced by DLUE1, was frequently overexpressed in primary OSCC tumors, and its knockdown inhibited OSCC cell proliferation, migration and invasion. These findings suggest that DLEU1 exerts its oncogenic effects, at least in part, through activation of a series ISGs in OSCC cells.
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Affiliation(s)
- Yui Hatanaka
- Department of Oral Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan.,Department of Molecular Biology, Sapporo Medical University School of Medicine, S1, W17, Chuo-ku, Sapporo, 060-8556, Japan
| | - Takeshi Niinuma
- Department of Molecular Biology, Sapporo Medical University School of Medicine, S1, W17, Chuo-ku, Sapporo, 060-8556, Japan
| | - Hiroshi Kitajima
- Department of Molecular Biology, Sapporo Medical University School of Medicine, S1, W17, Chuo-ku, Sapporo, 060-8556, Japan
| | - Koyo Nishiyama
- Department of Oral Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Reo Maruyama
- Project for Cancer Epigenomics, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Kazuya Ishiguro
- Department of Molecular Biology, Sapporo Medical University School of Medicine, S1, W17, Chuo-ku, Sapporo, 060-8556, Japan.,Department of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Mutsumi Toyota
- Department of Molecular Biology, Sapporo Medical University School of Medicine, S1, W17, Chuo-ku, Sapporo, 060-8556, Japan
| | - Eiichiro Yamamoto
- Department of Molecular Biology, Sapporo Medical University School of Medicine, S1, W17, Chuo-ku, Sapporo, 060-8556, Japan
| | - Masahiro Kai
- Department of Molecular Biology, Sapporo Medical University School of Medicine, S1, W17, Chuo-ku, Sapporo, 060-8556, Japan
| | - Akira Yorozu
- Department of Molecular Biology, Sapporo Medical University School of Medicine, S1, W17, Chuo-ku, Sapporo, 060-8556, Japan.,Department of Otolaryngology, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Shohei Sekiguchi
- Department of Oral Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan.,Department of Molecular Biology, Sapporo Medical University School of Medicine, S1, W17, Chuo-ku, Sapporo, 060-8556, Japan
| | - Kazuhiro Ogi
- Department of Oral Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Hironari Dehari
- Department of Oral Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Masashi Idogawa
- Department of Medical Genome Science, Research Institute for Frontier Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Yasushi Sasaki
- Biology Division, Department of Liberal Arts and Sciences, Center for Medical Education, Sapporo Medical University, Sapporo, Japan
| | - Takashi Tokino
- Department of Medical Genome Science, Research Institute for Frontier Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Akihiro Miyazaki
- Department of Oral Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Hiromu Suzuki
- Department of Molecular Biology, Sapporo Medical University School of Medicine, S1, W17, Chuo-ku, Sapporo, 060-8556, Japan.
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22
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Liaño-Pons J, Arsenian-Henriksson M, León J. The Multiple Faces of MNT and Its Role as a MYC Modulator. Cancers (Basel) 2021; 13:4682. [PMID: 34572909 PMCID: PMC8465425 DOI: 10.3390/cancers13184682] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 09/10/2021] [Accepted: 09/13/2021] [Indexed: 12/29/2022] Open
Abstract
MNT is a crucial modulator of MYC, controls several cellular functions, and is activated in most human cancers. It is the largest, most divergent, and most ubiquitously expressed protein of the MXD family. MNT was first described as a MYC antagonist and tumor suppressor. Indeed, 10% of human tumors present deletions of one MNT allele. However, some reports show that MNT functions in cooperation with MYC by maintaining cell proliferation, promoting tumor cell survival, and supporting MYC-driven tumorigenesis in cellular and animal models. Although MAX was originally considered MNT's obligate partner, our recent findings demonstrate that MNT also works independently. MNT forms homodimers and interacts with proteins both outside and inside of the proximal MYC network. These complexes are involved in a wide array of cellular processes, from transcriptional repression via SIN3 to the modulation of metabolism through MLX as well as immunity and apoptosis via REL. In this review, we discuss the present knowledge of MNT with a special focus on its interactome, which sheds light on the complex and essential role of MNT in cell biology.
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Affiliation(s)
- Judit Liaño-Pons
- Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, SE-171 65 Stockholm, Sweden;
| | - Marie Arsenian-Henriksson
- Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, SE-171 65 Stockholm, Sweden;
| | - Javier León
- Departmento de Biología Molecular and Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), Universidad de Cantabria-CSIC, 39011 Santander, Spain;
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23
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Bloehdorn J, Braun A, Taylor-Weiner A, Jebaraj BMC, Robrecht S, Krzykalla J, Pan H, Giza A, Akylzhanova G, Holzmann K, Scheffold A, Johnston HE, Yeh RF, Klymenko T, Tausch E, Eichhorst B, Bullinger L, Fischer K, Weisser M, Robak T, Schneider C, Gribben J, Dahal LN, Carter MJ, Elemento O, Landau DA, Neuberg DS, Cragg MS, Benner A, Hallek M, Wu CJ, Döhner H, Stilgenbauer S, Mertens D. Multi-platform profiling characterizes molecular subgroups and resistance networks in chronic lymphocytic leukemia. Nat Commun 2021; 12:5395. [PMID: 34518531 PMCID: PMC8438057 DOI: 10.1038/s41467-021-25403-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 08/03/2021] [Indexed: 02/07/2023] Open
Abstract
Knowledge of the genomic landscape of chronic lymphocytic leukemia (CLL) grows increasingly detailed, providing challenges in contextualizing the accumulated information. To define the underlying networks, we here perform a multi-platform molecular characterization. We identify major subgroups characterized by genomic instability (GI) or activation of epithelial-mesenchymal-transition (EMT)-like programs, which subdivide into non-inflammatory and inflammatory subtypes. GI CLL exhibit disruption of genome integrity, DNA-damage response and are associated with mutagenesis mediated through activation-induced cytidine deaminase or defective mismatch repair. TP53 wild-type and mutated/deleted cases constitute a transcriptionally uniform entity in GI CLL and show similarly poor progression-free survival at relapse. EMT-like CLL exhibit high genomic stability, reduced benefit from the addition of rituximab and EMT-like differentiation is inhibited by induction of DNA damage. This work extends the perspective on CLL biology and risk categories in TP53 wild-type CLL. Furthermore, molecular targets identified within each subgroup provide opportunities for new treatment approaches.
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Affiliation(s)
| | - Andrejs Braun
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | | | | | - Sandra Robrecht
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | - Julia Krzykalla
- Division of Biostatistics, German Cancer Research Center, Heidelberg, Germany
| | - Heng Pan
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Adam Giza
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | - Gulnara Akylzhanova
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | | | - Annika Scheffold
- Department of Internal Medicine III, University of Ulm, Ulm, Germany
| | - Harvey E Johnston
- Centre for Cancer Immunology, Cancer Sciences, Faculty of Medicine, Cancer Research UK Centre and Experimental Cancer Medicine Centre, University of Southampton, Southampton, UK
| | - Ru-Fang Yeh
- Biostatistics, Genentech Inc., South San Francisco, CA, USA
| | - Tetyana Klymenko
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Eugen Tausch
- Department of Internal Medicine III, University of Ulm, Ulm, Germany
| | - Barbara Eichhorst
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | - Lars Bullinger
- Medical Clinic for Hematology, Oncology and Tumor Biology, Charité University Hospital, Berlin, Germany
| | - Kirsten Fischer
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | - Martin Weisser
- Roche Pharma Research and Early Development, Penzberg, Germany
| | - Tadeusz Robak
- Department of Hematology, Medical University of Lodz, Lodz, Poland
| | | | - John Gribben
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Lekh N Dahal
- Centre for Cancer Immunology, Cancer Sciences, Faculty of Medicine, Cancer Research UK Centre and Experimental Cancer Medicine Centre, University of Southampton, Southampton, UK
- Department of Pharmacology and Therapeutics, Faculty of Life and Health Sciences, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
| | - Mathew J Carter
- Centre for Cancer Immunology, Cancer Sciences, Faculty of Medicine, Cancer Research UK Centre and Experimental Cancer Medicine Centre, University of Southampton, Southampton, UK
| | - Olivier Elemento
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Dan A Landau
- Cancer Genomics and Evolutionary Dynamics, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
| | - Donna S Neuberg
- Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mark S Cragg
- Centre for Cancer Immunology, Cancer Sciences, Faculty of Medicine, Cancer Research UK Centre and Experimental Cancer Medicine Centre, University of Southampton, Southampton, UK
| | - Axel Benner
- Division of Biostatistics, German Cancer Research Center, Heidelberg, Germany
| | - Michael Hallek
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | - Catherine J Wu
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Hartmut Döhner
- Department of Internal Medicine III, University of Ulm, Ulm, Germany
| | | | - Daniel Mertens
- Department of Internal Medicine III, University of Ulm, Ulm, Germany.
- German Cancer Research Center (DKFZ), Heidelberg, Germany.
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24
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Shetty D, Jain H, Rohil Y, Khattry N, Sengar M, Bagal B, Jain H, Gokarn A, Punatar S, Avinash Bonda VN, Subramanian PG. Role of cytogenetic abnormalities detected by fluorescence in situ hybridization as a prognostic marker: Pathogenesis & clinical course in patients with B-chronic lymphocytic leukaemia. Indian J Med Res 2021; 153:475-483. [PMID: 34380794 PMCID: PMC8354055 DOI: 10.4103/ijmr.ijmr_2257_18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Background & objectives: B-cell chronic lymphocytic leukaemia (B-CLL) is one of the most common forms of adult leukaemia, with a highly variable clinical course. Specific chromosomal and genetic aberrations are used clinically to predict prognosis, independent from conventional clinical markers. Molecular cytogenetic methods such as fluorescence in situ hybridization (FISH) detect aberrations in up to 80 per cent B-CLL patients. This study was conducted to score the frequencies of recurrent aberrations, i.e., del(13q14), trisomy 12, del(11q22), del(17p13), del(6q21) and IgH (immunoglobulin heavy chain) translocations and to understand their role in prognostication and risk stratification. Methods: FISH studies were performed on bone marrow aspirate or peripheral blood of 280 patients using commercially available disease-specific probe set. The data were correlated with clinical and haematological parameters such as low haemoglobin, splenomegaly and lymphadenopathy. Results: Chromosomal aberrations were detected in 79 per cent of patients, with del(13q14) (57%) as the most common cytogenetic aberration, followed by trisomy 12 (27%), del(11q22) (22%), t(14q32) (19%), del(17p13) (18%) and del(6q21) (9%). Single or in coexistence with other aberration del(13q14) had a favourable outcome in comparison to del(11q22), t(14q32), del(17p13) and del(6q21) which were associated with advanced stages of the disease. Trisomy 12 had a variable clinical course. Interpretation & conclusions: FISH was found to be a sensitive and efficient technique in detecting the prevalence of recurrent cytogenetic abnormalities. Each of these aberrations is an important independent predictor of disease progression and survival which aids in designing risk-adapted treatment strategies for better disease management.
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Affiliation(s)
- Dhanlaxmi Shetty
- Department of Cancer Cytogenetics, Advanced Centre for Training, Research & Education in Cancer, Tata Memorial Centre, Kharghar, Mumbai, Maharashtra, India
| | - Hemani Jain
- Department of Cancer Cytogenetics, Advanced Centre for Training, Research & Education in Cancer, Tata Memorial Centre, Kharghar, Mumbai, Maharashtra, India
| | - Yogita Rohil
- Department of Cancer Cytogenetics, Advanced Centre for Training, Research & Education in Cancer, Tata Memorial Centre, Kharghar, Mumbai, Maharashtra, India
| | - Navin Khattry
- Department of Medical Oncology, Advanced Centre for Training, Research & Education in Cancer, Tata Memorial Centre, Kharghar; Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
| | - Manju Sengar
- Department of Medical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Parel; Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
| | - Bhausaheb Bagal
- Department of Medical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Parel; Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
| | - Hasmukh Jain
- Department of Medical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Parel; Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
| | - Anant Gokarn
- Department of Medical Oncology, Advanced Centre for Training, Research & Education in Cancer, Tata Memorial Centre, Kharghar; Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
| | - Sachin Punatar
- Department of Medical Oncology, Advanced Centre for Training, Research & Education in Cancer, Tata Memorial Centre, Kharghar; Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
| | - Venkata Naga Avinash Bonda
- Department of Medical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Parel; Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
| | - P G Subramanian
- Department of Hematopathology, Advanced Centre for Training, Research & Education in Cancer, Tata Memorial Centre, Kharghar; Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
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25
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Costa D, Granada I, Espinet B, Collado R, Ruiz-Xivillé N, Puiggros A, Uribe M, Arias A, Gómez C, Delgado J, Pereira A, Magnano L, Colomer D, López C, Beà S. Balanced and unbalanced translocations in a multicentric series of 2843 patients with chronic lymphocytic leukemia. Genes Chromosomes Cancer 2021; 61:37-43. [PMID: 34414624 DOI: 10.1002/gcc.22994] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 08/09/2021] [Indexed: 01/03/2023] Open
Abstract
Chromosomal translocations in chronic lymphocytic leukemia (CLL) are very rare, and therefore systematic analysis of large series of cases is needed to allow the identification of recurrent rearrangements, breakpoints involved, and target genes. The aims of the present study were to identify new translocations and their clinical impact and to establish their frequency in a large cohort of 2843 CLL patients. By conventional cytogenetics 250 translocations were identified in 215 (7.5%) patients, 186 (74%) were apparently balanced and 64 (26%) were unbalanced. All chromosomes were involved in translocations, except Y chromosome. The chromosomes more frequently translocated were in decreasing frequency chromosomes 14, 18, 13, 17, 1, 6, 2, 3, 8, and 11. Translocations were found in the karyotypes either as the unique chromosomal abnormality (27%), associated with another alteration (24%), or as a part of a complex karyotype (CK, 48%). A large proportion of rearranged breakpoints involved genes related to CLL such as IGH (14q32), RB1, MIR15A, MIR16-1 (13q14), BCL2 (18q21), IGL (22q11.2), TP53 (17p13), IRF4 (6p25-p23), ATM (11q22), and CDK6 (7q21). Overall, 76 novel CLL translocations were identified, including a recurrent t(8;11)(p21;q21-23). Whole-genome sequencing and/or copy-number microarray data of 24 cases with translocations confirmed all rearrangements, enabled refinement of 3 karyotypes and all breakpoints at gene level. The projected survival and time to first treatment significantly decreased linearly with the number of translocations. In summary, this study allowed to establish the frequency of translocations (7.5%) and to identify new translocations in a cohort of 2843 CLL patients.
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Affiliation(s)
- Dolors Costa
- Hematopathology Section, Department of Pathology, Hospital Clinic, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain
| | - Isabel Granada
- Hematological Laboratory Service, Germans Trias i Pujol University Hospital, Catalan Institute of Oncology, Josep Carreras Leukaemia Research Institute, Universitat Autonòma de Barcelona, Barcelona, Spain
| | - Blanca Espinet
- Laboratori de Citogenètica Molecular, Servei de Patologia, Hospital del Mar, Barcelona, Spain
| | - Rosa Collado
- Laboratorio de Citogenética y Biología Molecular, Servicio de Hematología, Consorcio Hospital General Universitario, Valencia, Spain
| | - Neus Ruiz-Xivillé
- Hematological Laboratory Service, Germans Trias i Pujol University Hospital, Catalan Institute of Oncology, Josep Carreras Leukaemia Research Institute, Universitat Autonòma de Barcelona, Barcelona, Spain
| | - Anna Puiggros
- Laboratori de Citogenètica Molecular, Servei de Patologia, Hospital del Mar, Barcelona, Spain
| | - Marisol Uribe
- Laboratorio de Citogenética y Biología Molecular, Servicio de Hematología, Consorcio Hospital General Universitario, Valencia, Spain
| | - Amparo Arias
- Hematopathology Section, Department of Pathology, Hospital Clinic, Barcelona, Spain
| | - Cándida Gómez
- Hematopathology Section, Department of Pathology, Hospital Clinic, Barcelona, Spain
| | - Julio Delgado
- Hematology Department, Hospital Clínic, Barcelona, Spain
| | - Arturo Pereira
- Hematology Department, Hospital Clínic, Barcelona, Spain
| | - Laura Magnano
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Hematology Department, Hospital Clínic, Barcelona, Spain
| | - Dolors Colomer
- Hematopathology Section, Department of Pathology, Hospital Clinic, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain.,University of Barcelona, Barcelona, Spain
| | - Cristina López
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain
| | - Sílvia Beà
- Hematopathology Section, Department of Pathology, Hospital Clinic, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain.,University of Barcelona, Barcelona, Spain
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26
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Moore A, Machiela MJ, Machado M, Wang SS, Kane E, Slager SL, Zhou W, Carrington M, Lan Q, Milne RL, Birmann BM, Adami HO, Albanes D, Arslan AA, Becker N, Benavente Y, Bisanzi S, Boffetta P, Bracci PM, Brennan P, Brooks-Wilson AR, Canzian F, Caporaso N, Clavel J, Cocco P, Conde L, Cox DG, Cozen W, Curtin K, De Vivo I, de Sanjose S, Foretova L, Gapstur SM, Ghesquières H, Giles GG, Glenn M, Glimelius B, Gao C, Habermann TM, Hjalgrim H, Jackson RD, Liebow M, Link BK, Maynadie M, McKay J, Melbye M, Miligi L, Molina TJ, Monnereau A, Nieters A, North KE, Offit K, Patel AV, Piro S, Ravichandran V, Riboli E, Salles G, Severson RK, Skibola CF, Smedby KE, Southey MC, Spinelli JJ, Staines A, Stewart C, Teras LR, Tinker LF, Travis RC, Vajdic CM, Vermeulen RCH, Vijai J, Weiderpass E, Weinstein S, Doo NW, Zhang Y, Zheng T, Chanock SJ, Rothman N, Cerhan JR, Dean M, Camp NJ, Yeager M, Berndt SI. Genome-wide homozygosity and risk of four non-Hodgkin lymphoma subtypes. JOURNAL OF TRANSLATIONAL GENETICS AND GENOMICS 2021; 5:200-217. [PMID: 34622145 PMCID: PMC8494431 DOI: 10.20517/jtgg.2021.08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
AIM Recessive genetic variation is thought to play a role in non-Hodgkin lymphoma (NHL) etiology. Runs of homozygosity (ROH), defined based on long, continuous segments of homozygous SNPs, can be used to estimate both measured and unmeasured recessive genetic variation. We sought to examine genome-wide homozygosity and NHL risk. METHODS We used data from eight genome-wide association studies of four common NHL subtypes: 3061 chronic lymphocytic leukemia (CLL), 3814 diffuse large B-cell lymphoma (DLBCL), 2784 follicular lymphoma (FL), and 808 marginal zone lymphoma (MZL) cases, as well as 9374 controls. We examined the effect of homozygous variation on risk by: (1) estimating the fraction of the autosome containing runs of homozygosity (FROH); (2) calculating an inbreeding coefficient derived from the correlation among uniting gametes (F3); and (3) examining specific autosomal regions containing ROH. For each, we calculated beta coefficients and standard errors using logistic regression and combined estimates across studies using random-effects meta-analysis. RESULTS We discovered positive associations between FROH and CLL (β = 21.1, SE = 4.41, P = 1.6 × 10-6) and FL (β = 11.4, SE = 5.82, P = 0.02) but not DLBCL (P = 1.0) or MZL (P = 0.91). For F3, we observed an association with CLL (β = 27.5, SE = 6.51, P = 2.4 × 10-5). We did not find evidence of associations with specific ROH, suggesting that the associations observed with FROH and F3 for CLL and FL risk were not driven by a single region of homozygosity. CONCLUSION Our findings support the role of recessive genetic variation in the etiology of CLL and FL; additional research is needed to identify the specific loci associated with NHL risk.
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Affiliation(s)
- Amy Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Moara Machado
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
- Departamento de Biologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil
| | - Sophia S Wang
- Division of Health Analytics, City of Hope Beckman Research Institute, Duarte, CA 91010, USA
| | - Eleanor Kane
- Department of Health Sciences, University of York, York YO10 5DD, UK
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MD 20877, USA
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research in the Laboratory of Integrative Cancer Immunology, National Cancer Institute, Bethesda, MD 20892, USA
- Ragon Institute of MGH, Cambridge, MA 02139, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3010, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria 3800, Australia
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17176, Sweden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Institute of Health and Society, Clinical Effectiveness Research Group, University of Oslo, Oslo 0315, Norway
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Alan A Arslan
- Department of Obstetrics and Gynecology, New York University School of Medicine, New York, NY 10016, USA
- Department of Population Health, New York University School of Medicine, New York, NY 10016, USA
- Perlmutter Comprehensive Cancer Center, NYU Langone Health, New York, NY 10016, USA
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg 69120, Germany
| | - Yolanda Benavente
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona 08908, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Barcelona 08036, Spain
| | - Simonetta Bisanzi
- Regional Cancer Prevention Laboratory, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence 50139, Italy
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY 11794, USA
- Department of Medical and Surgical Sciences, University of Bologna, Bologna 41026, Italy
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94118, USA
| | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon 69372, France
| | - Angela R Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia V5Z1L3, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia V5A1S6, Canada
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Jacqueline Clavel
- Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), UMR1153, INSERM, Villejuif 75004, France
| | - Pierluigi Cocco
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Cagliari 09042, Italy
| | - Lucia Conde
- Bill Lyons Informatics Centre, UCL Cancer Institute, University College London, London WC1E 6DD, UK
| | - David G Cox
- INSERM U1052, Cancer Research Center of Lyon, Centre Léon Bérard, Lyon 69008, France
| | - Wendy Cozen
- Department of Preventive Medicine, USC Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- Norris Comprehensive Cancer Center, USC Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Karen Curtin
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Immaculata De Vivo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Silvia de Sanjose
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Barcelona 08036, Spain
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno 656 53, Czech Republic
| | - Susan M Gapstur
- Department of Population Science, American Cancer Society, Atlanta, GA 30303, USA
| | - Hervè Ghesquières
- Department of Hematology, Centre Léon Bérard, Lyon 69008, France
- INSERM U1052, Cancer Research Center of Lyon, Lyon-1 University, Pierre-Bénite Cedex 69008, France
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3010, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria 3800, Australia
| | - Martha Glenn
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala 75105, Sweden
| | - Chi Gao
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | | | - Henrik Hjalgrim
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen 2300, Denmark
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, OH 43210, USA
| | - Mark Liebow
- Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Brian K Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA 52242, USA
| | - Marc Maynadie
- U1231, Registre des Hémopathies Malignes de Côte d'Or, University of Burgundy and Dijon University Hospital, Dijon 21070, France
| | - James McKay
- International Agency for Research on Cancer (IARC), Lyon 69372, France
| | - Mads Melbye
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen 2300, Denmark
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Branch-Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence 50139, Italy
| | - Thierry J Molina
- Department of Pathology, AP-HP, Necker Enfants Malades, Université Paris Descartes, EA 7324, Sorbonne Paris Cité 75015, France
| | - Alain Monnereau
- Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), UMR1153, INSERM, Villejuif 75004, France
- Registre des Hémopathies Malignes de la Gironde, Institut Bergonié, Bordeaux Cedex 33076, France
| | - Alexandra Nieters
- Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, Baden-Württemberg 79108, Germany
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Atlanta, GA 30303, USA
| | - Sara Piro
- Environmental and Occupational Epidemiology Branch-Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence 50139, Italy
| | - Vignesh Ravichandran
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London W2 1PG, UK
| | - Gilles Salles
- INSERM U1052, Cancer Research Center of Lyon, Lyon-1 University, Pierre-Bénite Cedex 69008, France
- Department of Hematology, Hospices Civils de Lyon, Pierre Benite Cedex 69495, France
- Department of Hematology, Université Lyon-1, Pierre Benite Cedex 69495, France
| | - Richard K Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI 48201, USA
| | - Christine F Skibola
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Karin E Smedby
- Department of Medicine, Solna, Karolinska Institutet, Stockholm 17176, Sweden
- Hematology Center, Karolinska University Hospital, Stockholm 17176, Sweden
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - John J Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, British Columbia V5Z1L3, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia V6T1Z3, Canada
| | - Anthony Staines
- School of Nursing, Psychotherapy and Community Health, Dublin City University, Dublin 9, Ireland
| | - Carolyn Stewart
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA 30303, USA
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98117, USA
| | - Ruth C Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford OX3 7LF, UK
| | - Claire M Vajdic
- Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CG, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | | | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Nicole Wong Doo
- Concord Clinical School, University of Sydney, Concord, New South Wales 2139, Australia
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06520, USA
| | - Tongzhang Zheng
- Department of Epidemiology, Brown University, Providence, RI 02903, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Michael Dean
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Nicola J Camp
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MD 20877, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
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Ding W. The Ongoing Unmet Needs in Chronic Lymphocytic Leukemia: TP53 Disruption, Richter, and Beyond. Hematol Oncol Clin North Am 2021; 35:739-759. [PMID: 34174984 DOI: 10.1016/j.hoc.2021.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Despite recent success in regard to targeted therapies in chronic lymphocytic leukemia (CLL), patients with TP53 disruption (including deletion and/or mutation) continue to have poor outcomes compared with other patients with CLL. In this article, a review of common TP53 mutations in CLL, and recent trials using novel targeted agents in CLL patients with TP53 disruption, is provided with the goal of emphasizing the need to continuously focus on this area of research. In addition, limited but available data on double refractory CLL to BTK inhibitor and BCL-2 inhibitor, and on Richter syndrome, are reviewed.
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Affiliation(s)
- Wei Ding
- Division of Hematology, Mayo Clinic, 200 First Street, Southwest, Rochester, MN 55905, USA.
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28
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Follicular lymphoma t(14;18)-negative is genetically a heterogeneous disease. Blood Adv 2021; 4:5652-5665. [PMID: 33211828 DOI: 10.1182/bloodadvances.2020002944] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 10/05/2020] [Indexed: 12/19/2022] Open
Abstract
Fifty-five cases of t(14;18)- follicular lymphoma (FL) were genetically characterized by targeted sequencing and copy number (CN) arrays. t(14;18)- FL predominated in women (M/F 1:2); patients often presented during early clinical stages (71%), and had excellent prognoses. Overall, t(14;18)- FL displayed CN alterations (CNAs) and gene mutations carried by conventional t(14;18)+ FL (cFL), but with different frequencies. The most frequently mutated gene was STAT6 (57%) followed by CREBBP (49%), TNFRSF14 (39%), and KMT2D (27%). t(14;18)- FL showed significantly more STAT6 mutations and lacked MYD88, NOTCH2, MEF2B, and MAP2K1 mutations compared with cFL, nodal marginal zone lymphoma (NMZL), and pediatric-type FL (PTFL). We identified 2 molecular clusters. Cluster A was characterized by TNFRSF14 mutations/1p36 alterations (96%) and frequent mutations in epigenetic regulators, with recurrent loss of 6q21-24 sharing many features with cFL. Cluster B showed few genetic alterations; however, a subgroup with STAT6 mutations concurrent with CREBBP mutations/16p alterations without TNFRSF14 and EZH2 mutations was noted (65%). These 2 molecular clusters did not distinguish cases by inguinal localization, growth pattern, or presence of STAT6 mutations. BCL6 rearrangements were demonstrated in 10 of 45 (22%) cases and did not cluster together. Cases with predominantly inguinal presentation (20 of 50; 40%) had a higher frequency of diffuse growth pattern, STAT6 mutations, CD23 expression, and a lower number of CNAs, in comparison with noninguinal cases (5.1 vs 9.1 alterations per case; P < .05). STAT6 mutations showed a positive correlation with CD23 expression (P < .001). In summary, t(14;18)- FL is genetically a heterogeneous disorder with features that differ from cFL, NMZL, and PTFL.
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29
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Tang Z, Kanagal-Shamanna R, Tang G, Patel K, Medeiros LJ, Toruner GA. Analytical and clinical performance of chromosomal microarrays compared with FISH panel and conventional karyotyping in patients with chronic lymphocytic leukemia. Leuk Res 2021; 108:106616. [PMID: 34022744 DOI: 10.1016/j.leukres.2021.106616] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/26/2021] [Accepted: 05/10/2021] [Indexed: 11/19/2022]
Abstract
In this single center retrospective analysis on 102 CLL patients, we assessed analytical and clinical performance of CMA against a targeted FISH panel (ATM, TP53, CEP12, D13S319 and LAMP1 loci) and karyotyping. CMA yielded additional information compared to karyotype in 39 cases (38 %). On the other hand, while CMA detected aberrations were also detected by FISH in all 31 cases (30 %), aberrations with low clonal size (<30 %) detected by FISH were missed by CMA. When evaluated with National Cancer Center Network (NCCN) guidelines, the capture rate of prognostic relevant cytogenetic information for FISH only, FISH + Chromosomes and FISH + CMA analyses were 95, 96 and 100 % respectively. With Cancer Cytogenomics Consortium (CGC) Criteria, these figures for FISH only, FISH + Chromosomes and FISH + CMA were 88 %, 92 and 100 % respectively. In conclusion, CMA provides additional analytical information to FISH and karyotyping, but this information has a clinical utility only in a small number of patients. Limit of detection (LOD) issues preclude replacement of FISH by CMA, but CMA may be a viable alternative to karyotyping. Further research is warranted.
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Affiliation(s)
- Zhenya Tang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Rashmi Kanagal-Shamanna
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Guilin Tang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Keyur Patel
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - L Jeffrey Medeiros
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Gokce A Toruner
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States.
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30
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Shostak A, Schermann G, Diernfellner A, Brunner M. MXD/MIZ1 transcription regulatory complexes activate the expression of MYC-repressed genes. FEBS Lett 2021; 595:1639-1655. [PMID: 33914337 DOI: 10.1002/1873-3468.14097] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 03/31/2021] [Accepted: 04/01/2021] [Indexed: 12/27/2022]
Abstract
MXDs are transcription repressors that antagonize MYC-mediated gene activation. MYC, when associated with MIZ1, acts also as a repressor of a subset of genes, including p15 and p21. A role for MXDs in regulation of MYC-repressed genes is not known. We report that MXDs activate transcription of p15 and p21 in U2OS cells. This activation required DNA binding by MXDs and their interaction with MIZ1. MXD mutants deficient in MIZ1 binding interacted with the MYC-binding partner MAX and were active as repressors of MYC-activated genes but failed to activate MYC-repressed genes. Mutant MXDs with reduced DNA-binding affinity interacted with MAX and MIZ1 but neither repressed nor activated transcription. Our data show that MXDs and MYC have a reciprocally antagonistic potential to regulate transcription of target genes.
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31
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Miller CR, Huang Y, Ruppert AS, Labanowska J, Jaglowski SM, Maddocks KJ, Rogers KA, Bhat S, Kittai AS, Grever M, Lapalombella R, Abruzzo LV, Heerema NA, Byrd JC, Hertlein EK, Woyach JA. Significance of chromosome 2p gain in ibrutinib-treated chronic lymphocytic leukemia patients. Leukemia 2021; 35:3287-3290. [PMID: 33820961 DOI: 10.1038/s41375-021-01237-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 02/04/2021] [Accepted: 03/22/2021] [Indexed: 11/09/2022]
Affiliation(s)
- Cecelia R Miller
- Department of Pathology, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Ying Huang
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Amy S Ruppert
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Jadwiga Labanowska
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Samantha M Jaglowski
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Kami J Maddocks
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Kerry A Rogers
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Seema Bhat
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Adam S Kittai
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Michael Grever
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Rosa Lapalombella
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Lynne V Abruzzo
- Department of Pathology, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Nyla A Heerema
- Department of Pathology, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - John C Byrd
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Erin K Hertlein
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Jennifer A Woyach
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA.
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32
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Petrackova A, Turcsanyi P, Papajik T, Kriegova E. Revisiting Richter transformation in the era of novel CLL agents. Blood Rev 2021; 49:100824. [PMID: 33775465 DOI: 10.1016/j.blre.2021.100824] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 01/14/2021] [Accepted: 02/19/2021] [Indexed: 12/18/2022]
Abstract
Richter transformation (RT) is the development of aggressive lymphoma - most frequently diffuse large B-cell lymphoma (DLBCL) and rarely Hodgkin lymphoma (HL) - arising on the background of chronic lymphocytic leukaemia (CLL). Despite recent advances in CLL treatment, RT also develops in patients on novel agents, usually occurring as an early event. RT incidence is lower in CLL patients treated with novel agents in the front line compared to relapsed/refractory cases, with a higher incidence in patients with TP53 disruption. The genetic heterogeneity and complexity are higher in RT-DLBCL than CLL; the genetics of RT-HL are largely unknown. In addition to TP53, aberrations in CDKN2A, MYC, and NOTCH1 are common in RT-DLBCL; however, no distinct RT-specific genetic aberration is recognised yet. RT-DLBCL on ibrutinib is frequently associated with BTK and PLCG2 mutations. Here, we update on genetic analysis, diagnostics and treatment options in RT in the era of novel agents.
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Affiliation(s)
- Anna Petrackova
- Department of Immunology, Faculty of Medicine and Dentistry, Palacký University and University Hospital Olomouc, Olomouc, Czech Republic
| | - Peter Turcsanyi
- Department of Hemato-Oncology, Faculty of Medicine and Dentistry, Palacký University and University Hospital Olomouc, Olomouc, Czech Republic
| | - Tomas Papajik
- Department of Hemato-Oncology, Faculty of Medicine and Dentistry, Palacký University and University Hospital Olomouc, Olomouc, Czech Republic
| | - Eva Kriegova
- Department of Immunology, Faculty of Medicine and Dentistry, Palacký University and University Hospital Olomouc, Olomouc, Czech Republic.
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33
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Liaño-Pons J, Lafita-Navarro MC, García-Gaipo L, Colomer C, Rodríguez J, von Kriegsheim A, Hurlin PJ, Ourique F, Delgado MD, Bigas A, Espinosa L, León J. A novel role of MNT as a negative regulator of REL and the NF-κB pathway. Oncogenesis 2021; 10:5. [PMID: 33419981 PMCID: PMC7794610 DOI: 10.1038/s41389-020-00298-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 11/20/2020] [Accepted: 12/02/2020] [Indexed: 01/29/2023] Open
Abstract
MNT, a transcription factor of the MXD family, is an important modulator of the oncoprotein MYC. Both MNT and MYC are basic-helix-loop-helix proteins that heterodimerize with MAX in a mutually exclusive manner, and bind to E-boxes within regulatory regions of their target genes. While MYC generally activates transcription, MNT represses it. However, the molecular interactions involving MNT as a transcriptional regulator beyond the binding to MAX remain unexplored. Here we demonstrate a novel MAX-independent protein interaction between MNT and REL, the oncogenic member of the NF-κB family. REL participates in important biological processes and it is altered in a variety of tumors. REL is a transcription factor that remains inactive in the cytoplasm in an inhibitory complex with IκB and translocates to the nucleus when the NF-κB pathway is activated. In the present manuscript, we show that MNT knockdown triggers REL translocation into the nucleus and thus the activation of the NF-κB pathway. Meanwhile, MNT overexpression results in the repression of IκBα, a bona fide REL target. Both MNT and REL bind to the IκBα gene on the first exon, suggesting its regulation as an MNT-REL complex. Altogether our data indicate that MNT acts as a repressor of the NF-κB pathway by two mechanisms: (1) retention of REL in the cytoplasm by MNT interaction, and (2) MNT-driven repression of REL-target genes through an MNT-REL complex. These results widen our knowledge about MNT biological roles and reveal a novel connection between the MYC/MXD and NF-κB pathways, two of the most prominent pathways in cancer.
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Affiliation(s)
- Judit Liaño-Pons
- Departmento de Biología Molecular, Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), CSIC-Universidad de Cantabria, Santander, Spain
- Department of Microbiology, Tumor and Cell Biology (MTC), Biomedicum B7, Karolinska Institutet, Stockholm, Sweden
| | - M Carmen Lafita-Navarro
- Departmento de Biología Molecular, Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), CSIC-Universidad de Cantabria, Santander, Spain
- Department of Cell Biology UT Southwestern Medical Center, Dallas, TX, USA
| | - Lorena García-Gaipo
- Departmento de Biología Molecular, Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), CSIC-Universidad de Cantabria, Santander, Spain
| | - Carlota Colomer
- Cancer Research Program, Institut Hospital del Mar d'Investigacions Mèdiques, CIBERONC, Hospital del Mar, Barcelona, Spain
| | - Javier Rodríguez
- Systems Biology Ireland, University College Dublin, Dublin, Ireland
| | - Alex von Kriegsheim
- Systems Biology Ireland, University College Dublin, Dublin, Ireland
- Edinburgh Cancer Research Center, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Peter J Hurlin
- Shriners Hospitals for Children Research Center, Department of Cell, Developmental and Cancer Biology and Department of Orthopaedics and Rehabilitation, Oregon Health and Science University, Portland, OR, USA
| | - Fabiana Ourique
- Departmento de Biología Molecular, Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), CSIC-Universidad de Cantabria, Santander, Spain
- Dept. of Biochemistry, Universidade Federal de Santa Catarina (UFSC), Florianópolis, Brazil
| | - M Dolores Delgado
- Departmento de Biología Molecular, Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), CSIC-Universidad de Cantabria, Santander, Spain
| | - Anna Bigas
- Cancer Research Program, Institut Hospital del Mar d'Investigacions Mèdiques, CIBERONC, Hospital del Mar, Barcelona, Spain
| | - Lluis Espinosa
- Cancer Research Program, Institut Hospital del Mar d'Investigacions Mèdiques, CIBERONC, Hospital del Mar, Barcelona, Spain
| | - Javier León
- Departmento de Biología Molecular, Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), CSIC-Universidad de Cantabria, Santander, Spain.
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34
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Leeksma AC, Baliakas P, Moysiadis T, Puiggros A, Plevova K, van der Kevie-Kersemaekers AM, Posthuma H, Rodriguez-Vicente AE, Tran AN, Barbany G, Mansouri L, Gunnarsson R, Parker H, van der Berg E, Bellido M, Davis Z, Wall M, Scarpelli I, Österborg A, Hansson L, Jarosova M, Ghia P, Poddighe P, Espinet B, Pospisilova S, Tam C, Ysebaert L, Nguyen-Khac F, Oscier D, Haferlach C, Schoumans J, Stevens-Kroef M, Eldering E, Stamatopoulos K, Rosenquist R, Strefford JC, Mellink C, Kater AP. Genomic arrays identify high-risk chronic lymphocytic leukemia with genomic complexity: a multi-center study. Haematologica 2021; 106:87-97. [PMID: 31974198 PMCID: PMC7776256 DOI: 10.3324/haematol.2019.239947] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 01/22/2020] [Indexed: 01/15/2023] Open
Abstract
Complex karyotype (CK) identified by chromosome-banding analysis (CBA) has shown prognostic value in chronic lymphocytic leukemia (CLL). Genomic arrays offer high-resolution genome-wide detection of copy-number alterations (CNAs) and could therefore be well equipped to detect the presence of a CK. Current knowledge on genomic arrays in CLL is based on outcomes of single center studies, in which different cutoffs for CNA calling were used. To further determine the clinical utility of genomic arrays for CNA assessment in CLL diagnostics, we retrospectively analyzed 2293 arrays from 13 diagnostic laboratories according to established standards. CNAs were found outside regions captured by CLL FISH probes in 34% of patients, and several of them including gains of 8q, deletions of 9p and 18p (p<0.01) were linked to poor outcome after correction for multiple testing. Patients (n=972) could be divided in three distinct prognostic subgroups based on the number of CNAs. Only high genomic complexity (high-GC), defined as ≥5 CNAs emerged as an independent adverse prognosticator on multivariable analysis for time to first treatment (Hazard ratio: 2.15, 95% CI: 1.36-3.41; p=0.001) and overall survival (Hazard ratio: 2.54, 95% CI: 1.54-4.17; p<0.001; n=528). Lowering the size cutoff to 1 Mb in 647 patients did not significantly improve risk assessment. Genomic arrays detected more chromosomal abnormalities and performed at least as well in terms of risk stratification compared to simultaneous chromosome banding analysis as determined in 122 patients. Our findings highlight genomic array as an accurate tool for CLL risk stratification.
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Affiliation(s)
- Alexander C. Leeksma
- Department of Hematology and Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
- Department of Experimental Immunology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
- Cancer Center Amsterdam and Amsterdam Infection and Immunity Institute, Amsterdam, the Netherlands
| | - Panagiotis Baliakas
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Theodoros Moysiadis
- Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Anna Puiggros
- Laboratori de Citogenetica Molecular, Servei de Patologia, Hospital del Mar, Barcelona, Spain
- Grup de Recerca Translacional en Neoplasies Hematologiques, Programa de Recerca en Cancer, Institut Hospital del Mar d’Investigacions Mediques (IMIM), Barcelona, Spain
| | - Karla Plevova
- Department of Internal Medicine Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | | | - Hidde Posthuma
- Department of Clinical Genetics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Ana E. Rodriguez-Vicente
- Department of Hematology, IBSAL, IBMCC, University of Salamanca, CSIC, Cancer Research Center, University Hospital of Salamanca, Salamanca, Spain
| | - Anh Nhi Tran
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Gisela Barbany
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Larry Mansouri
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Rebeqa Gunnarsson
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Helen Parker
- Cancer Genomics, Academic Unit of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Eva van der Berg
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Mar Bellido
- Department of Hematology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Zadie Davis
- Department of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth, UK
| | - Meaghan Wall
- Cytogenetics Department, St Vincent Hospital, Melbourne, Victoria, Australia
| | - Ilaria Scarpelli
- Oncogenomic Laboratory, Department of Hematology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Anders Österborg
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
| | - Lotta Hansson
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
| | - Marie Jarosova
- Department of Internal Medicine Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Paolo Ghia
- Division of Experimental Oncology, IRCCS Ospedale San Raffaele e Universita Vita-Salute San Raffaele, Milan, Italy
| | - Pino Poddighe
- Department of Clinical Genetics, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, the Netherlands
| | - Blanca Espinet
- Laboratori de Citogenetica Molecular, Servei de Patologia, Hospital del Mar, Barcelona, Spain
- Grup de Recerca Translacional en Neoplasies Hematologiques, Programa de Recerca en Cancer, Institut Hospital del Mar d’Investigacions Mediques (IMIM), Barcelona, Spain
| | - Sarka Pospisilova
- Department of Internal Medicine Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Constantine Tam
- Department of Haematology, St Vincent Hospital Melbourne and Peter MacCallum Cancer Center; University of Melbourne, Melbourne, Victoria, Australia
| | - Loïc Ysebaert
- Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - Florence Nguyen-Khac
- INSERM U1138; Universite Pierre et Marie Curie-Paris; Service d'Hematologie Biologique, Hopital Pitie-Salpetriere, APHP, Paris, France
| | - David Oscier
- Department of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth, UK
| | | | - Jacqueline Schoumans
- Oncogenomic Laboratory, Department of Hematology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Marian Stevens-Kroef
- Radboud University Medical Center, Department of Human Genetics, Nijmegen, the Netherlands
| | - Eric Eldering
- Department of Experimental Immunology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
- Cancer Center Amsterdam and Amsterdam Infection and Immunity Institute, Amsterdam, the Netherlands
| | - Kostas Stamatopoulos
- Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Jonathan C. Strefford
- Cancer Genomics, Academic Unit of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Clemens Mellink
- Department of Clinical Genetics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Arnon P. Kater
- Department of Hematology and Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
- Cancer Center Amsterdam and Amsterdam Infection and Immunity Institute, Amsterdam, the Netherlands
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35
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Augé H, Notarantonio AB, Morizot R, Quinquenel A, Fornecker LM, Hergalant S, Feugier P, Broséus J. Microenvironment Remodeling and Subsequent Clinical Implications in Diffuse Large B-Cell Histologic Variant of Richter Syndrome. Front Immunol 2020; 11:594841. [PMID: 33381116 PMCID: PMC7767850 DOI: 10.3389/fimmu.2020.594841] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 11/03/2020] [Indexed: 12/16/2022] Open
Abstract
Introduction Richter Syndrome (RS) is defined as the development of an aggressive lymphoma in the context of Chronic Lymphocytic Leukemia (CLL), with a Diffuse Large B-Cell Lymphoma (DLBCL) histology in 95% cases. RS genomic landscape shares only a few features with de novo DLBCLs and is marked by a wide spectrum of cytogenetic abnormalities. Little is known about RS microenvironment. Therapeutic options and efficacy are limited, leading to a 12 months median overall survival. The new targeted treatments usually effective in CLL fail to obtain long-term remissions in RS. Methods We reviewed available PubMed literature about RS genomics, PD-1/PD-L1 (Programmed Death 1/Programmed Death Ligand 1) pathway triggering and subsequent new therapeutic options. Results Data from about 207 patients from four landmark papers were compiled to build an overview of RS genomic lesions and point mutations. A number of these abnormalities may be involved in tumor microenvironment reshaping. T lymphocyte exhaustion through PD-L1 overexpression by tumor cells and subsequent PD-1/PD-L1 pathway triggering is frequently reported in solid cancers. This immune checkpoint inhibitor is also described in B lymphoid malignancies, particularly CLL: PD-1 expression is reported in a subset of prolymphocytes from the CLL lymph node proliferation centers. However, there is only few data about PD-1/PD-L1 pathway in RS. In RS, PD-1 expression is a hallmark of recently described « Regulatory B-cells », which interact with tumor microenvironment by producing inhibiting cytokines such as TGF-β and IL-10, impairing T lymphocytes anti-tumoral function. Based upon the discovery of high PD-1 expression on tumoral B lymphocyte from RS, immune checkpoint blockade therapies such as anti-PD-1 antibodies have been tested on small RS cohorts and provided heterogeneous but encouraging results. Conclusion RS genetic landscape and immune evasion mechanisms are being progressively unraveled. New protocols using targeted treatments such as checkpoint inhibitors as single agents or in combination with immunochemotherapy are currently being evaluated.
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Affiliation(s)
- Hélène Augé
- Inserm UMRS1256 Nutrition-Génétique et Exposition aux Risque Environnementaux (N-GERE), Université de Lorraine, Nancy, France.,Université de Lorraine, CHRU-Nancy, service d'hématologie clinique, pôle spécialités médicales, Nancy, France
| | - Anne-Béatrice Notarantonio
- Université de Lorraine, CHRU-Nancy, service d'hématologie clinique, pôle spécialités médicales, Nancy, France.,UMR7365 Ingénierie Moléculaire et Physiopathologie Articulaire (IMOPA), CNRS, Université de Lorraine, Nancy, France
| | - Romain Morizot
- Inserm UMRS1256 Nutrition-Génétique et Exposition aux Risque Environnementaux (N-GERE), Université de Lorraine, Nancy, France.,Université de Lorraine, CHRU-Nancy, service d'hématologie clinique, pôle spécialités médicales, Nancy, France
| | - Anne Quinquenel
- Département d'hématologie, Université de Reims Champagne-Ardenne, Reims, France.,Département d'hématologie clinique, Centre Hospitalier Universitaire de Reims, Reims, France
| | - Luc-Matthieu Fornecker
- Université de Strasbourg, Inserm, IRFAC/UMR-S1113, Strasbourg, France.,Département d'hématologie clinique, Institut de Cancérologie Strasbourg Europe, Strasbourg, France
| | - Sébastien Hergalant
- Inserm UMRS1256 Nutrition-Génétique et Exposition aux Risque Environnementaux (N-GERE), Université de Lorraine, Nancy, France
| | - Pierre Feugier
- Inserm UMRS1256 Nutrition-Génétique et Exposition aux Risque Environnementaux (N-GERE), Université de Lorraine, Nancy, France.,Université de Lorraine, CHRU-Nancy, service d'hématologie clinique, pôle spécialités médicales, Nancy, France
| | - Julien Broséus
- Inserm UMRS1256 Nutrition-Génétique et Exposition aux Risque Environnementaux (N-GERE), Université de Lorraine, Nancy, France.,Université de Lorraine, CHRU-Nancy, service d'hématologie biologique, pôle laboratoires, Nancy, France
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Development and survival of MYC-driven lymphomas require the MYC antagonist MNT to curb MYC-induced apoptosis. Blood 2020; 135:1019-1031. [PMID: 31978211 DOI: 10.1182/blood.2019003014] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 12/23/2019] [Indexed: 01/06/2023] Open
Abstract
Deregulated overexpression of MYC is implicated in the development and malignant progression of most (∼70%) human tumors. MYC drives cell growth and proliferation, but also, at high levels, promotes apoptosis. Here, we report that the proliferative capacity of MYC-driven normal and neoplastic B lymphoid cells depends on MNT, a MYC-related transcriptional repressor. Our genetic data establish that MNT synergizes with MYC by suppressing MYC-driven apoptosis, and that it does so primarily by reducing the level of pro-apoptotic BIM. In Eμ-Myc mice, which model the MYC/IGH chromosome translocation in Burkitt's lymphoma, homozygous Mnt deletion greatly reduced lymphoma incidence by enhancing apoptosis and markedly decreasing premalignant B lymphoid cell populations. Strikingly, by inducing Mnt deletion within transplanted fully malignant Eμ-Myc lymphoma cells, we significantly extended transplant recipient survival. The dependency of lymphomas on MNT for survival suggests that drugs inhibiting MNT could significantly boost therapy of MYC-driven tumors by enhancing intrinsic MYC-driven apoptosis.
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37
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Clonal dynamics in chronic lymphocytic leukemia. Blood Adv 2020; 3:3759-3769. [PMID: 31770443 DOI: 10.1182/bloodadvances.2019000367] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 08/20/2019] [Indexed: 12/28/2022] Open
Abstract
Chronic lymphocytic leukemia has a highly variable disease course across patients, thought to be driven by the vast inter- and intrapatient molecular heterogeneity described in several large-scale DNA-sequencing studies conducted over the past decade. Although the last 5 years have seen a dramatic shift in the therapeutic landscape for chronic lymphocytic leukemia, including the regulatory approval of several potent targeted agents (ie, idelalisib, ibrutinib, venetoclax), the vast majority of patients still inevitably experience disease recurrence or persistence. Recent genome-wide sequencing approaches have helped to identify subclonal populations within tumors that demonstrate a broad spectrum of somatic mutations, diverse levels of response to therapy, patterns of repopulation, and growth kinetics. Understanding the impact of genetic, epigenetic, and transcriptomic features on clonal growth dynamics and drug response will be an important step toward the selection and timing of therapy.
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38
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Delgado J, Nadeu F, Colomer D, Campo E. Chronic lymphocytic leukemia: from molecular pathogenesis to novel therapeutic strategies. Haematologica 2020; 105:2205-2217. [PMID: 33054046 PMCID: PMC7556519 DOI: 10.3324/haematol.2019.236000] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 06/18/2020] [Indexed: 12/31/2022] Open
Abstract
Chronic lymphocytic leukemia is a well-defined lymphoid neoplasm with very heterogeneous biological and clinical behavior. The last decade has been remarkably fruitful in novel findings elucidating multiple aspects of the pathogenesis of the disease including mechanisms of genetic susceptibility, insights into the relevance of immunogenetic factors driving the disease, profiling of genomic alterations, epigenetic subtypes, global epigenomic tumor cell reprogramming, modulation of tumor cell and microenvironment interactions, and dynamics of clonal evolution from early steps in monoclonal B cell lymphocytosis to progression and transformation into diffuse large B-cell lymphoma. All this knowledge has offered new perspectives that are being exploited therapeutically with novel target agents and management strategies. In this review we provide an overview of these novel advances and highlight questions and perspectives that need further progress to translate into the clinics the biological knowledge and improve the outcome of the patients.
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Affiliation(s)
- Julio Delgado
- Department of Hematology, Hospital Clínic, University of Barcelona, Barcelona
- Centro de Investigación Biomédica en Red en Oncologia (CIBERONC), Madrid
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona
| | - Ferran Nadeu
- Centro de Investigación Biomédica en Red en Oncologia (CIBERONC), Madrid
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona
| | - Dolors Colomer
- Centro de Investigación Biomédica en Red en Oncologia (CIBERONC), Madrid
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona
- Hematopathology Section, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Elias Campo
- Centro de Investigación Biomédica en Red en Oncologia (CIBERONC), Madrid
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona
- Hematopathology Section, Hospital Clínic, University of Barcelona, Barcelona, Spain
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39
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Targeting chronic lymphocytic leukemia with N-methylated thrombospondin-1-derived peptides overcomes drug resistance. Blood Adv 2020; 3:2920-2933. [PMID: 31648314 DOI: 10.1182/bloodadvances.2019000350] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 08/07/2019] [Indexed: 12/22/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL), the most common adulthood leukemia in Western countries, is a very heterogeneous disease characterized by a peripheral accumulation of abnormal CD5+ B lymphocytes in the immune system. Despite new therapeutic developments, there remains an unmet medical need for CLL. Here, we demonstrate that the use of N-methylated thrombospondin-1 (TSP-1)-derived peptides is an efficient way to kill the malignant CLL cells, including those from high-risk individuals with poor clinical prognosis, del11q, del17p, 2p gain, or complex karyotype. PKT16, our hit N-methylated peptide, triggers the elimination of the leukemic cells, sparing the nontumor cells, including the hematopoietic precursors, and reduces the in vivo tumor burden of a CLL-xenograft mice model. A complementary analysis underscores the improved cytotoxic efficiency of PKT16 compared with the previously described TSP-1-derived probes, such as PKHB1. PKT16 elicits an original caspase-independent programmed necrotic mode of cell death, different from necroptosis or ferroptosis, implicating an intracellular Ca2+ deregulation that provokes mitochondrial damage, cell cycle arrest, and the specific death of the malignant CLL cells. The activation of the Gαi proteins and the subsequent drop of cyclic adenosine monophosphate levels and protein kinase A activity regulate this cytotoxic cascade. Remarkably, PKT16 induces the molecular hallmarks of immunogenic cell death, as defined by the calreticulin plasma membrane exposure and the release of adenosine triphosphate and high-mobility group box 1 protein from the dying CLL cells. Thus, PKT16 appears to be able to stimulate an anticancer in vivo immune response. Collectively, our results pave the way toward the development of an efficient strategy against CLL.
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40
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Distinct molecular profile of IRF4-rearranged large B-cell lymphoma. Blood 2020; 135:274-286. [PMID: 31738823 DOI: 10.1182/blood.2019002699] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Accepted: 10/31/2019] [Indexed: 12/16/2022] Open
Abstract
Pediatric large B-cell lymphomas (LBCLs) share morphological and phenotypic features with adult types but have better prognosis. The higher frequency of some subtypes such as LBCL with IRF4 rearrangement (LBCL-IRF4) in children suggests that some age-related biological differences may exist. To characterize the genetic and molecular heterogeneity of these tumors, we studied 31 diffuse LBCLs (DLBCLs), not otherwise specified (NOS); 20 LBCL-IRF4 cases; and 12 cases of high-grade B-cell lymphoma (HGBCL), NOS in patients ≤25 years using an integrated approach, including targeted gene sequencing, copy-number arrays, and gene expression profiling. Each subgroup displayed different molecular profiles. LBCL-IRF4 had frequent mutations in IRF4 and NF-κB pathway genes (CARD11, CD79B, and MYD88), losses of 17p13 and gains of chromosome 7, 11q12.3-q25, whereas DLBCL, NOS was predominantly of germinal center B-cell (GCB) subtype and carried gene mutations similar to the adult counterpart (eg, SOCS1 and KMT2D), gains of 2p16/REL, and losses of 19p13/CD70. A subset of HGBCL, NOS displayed recurrent alterations of Burkitt lymphoma-related genes such as MYC, ID3, and DDX3X and homozygous deletions of 9p21/CDKN2A, whereas other cases were genetically closer to GCB DLBCL. Factors related to unfavorable outcome were age >18 years; activated B-cell (ABC) DLBCL profile, HGBCL, NOS, high genetic complexity, 1q21-q44 gains, 2p16/REL gains/amplifications, 19p13/CD70 homozygous deletions, and TP53 and MYC mutations. In conclusion, these findings further unravel the molecular heterogeneity of pediatric and young adult LBCL, improve the classification of this group of tumors, and provide new parameters for risk stratification.
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41
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Nadeu F, Diaz-Navarro A, Delgado J, Puente XS, Campo E. Genomic and Epigenomic Alterations in Chronic Lymphocytic Leukemia. ANNUAL REVIEW OF PATHOLOGY-MECHANISMS OF DISEASE 2020; 15:149-177. [PMID: 31977296 DOI: 10.1146/annurev-pathmechdis-012419-032810] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Chronic lymphocytic leukemia is a common disease in Western countries and has heterogeneous clinical behavior. The relevance of the genetic basis of the disease has come to the forefront recently, with genome-wide studies that have provided a comprehensive view of structural variants, somatic mutations, and different layers of epigenetic changes. The mutational landscape is characterized by relatively common copy number alterations, a few mutated genes occurring in 10-15% of cases, and a large number of genes mutated in a small number of cases. The epigenomic profile has revealed a marked reprogramming of regulatory regions in tumor cells compared with normal B cells. All of these alterations are differentially distributed in clinical and biological subsets of the disease, indicating that they may underlie the heterogeneous evolution of the disease. These global studies are revealing the molecular complexity of chronic lymphocytic leukemia and provide new perspectives that have helped to understand its pathogenic mechanisms and improve the clinical management of patients.
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Affiliation(s)
- Ferran Nadeu
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain; , , .,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain; ,
| | - Ander Diaz-Navarro
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain; , .,Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, 33006 Oviedo, Spain
| | - Julio Delgado
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain; , , .,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain; , .,Hematology Department, Hospital Clinic of Barcelona, University of Barcelona, 08036 Barcelona, Spain
| | - Xose S Puente
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain; , .,Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, 33006 Oviedo, Spain
| | - Elías Campo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain; , , .,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain; , .,Hematopathology Section, Laboratory of Pathology, Hospital Clinic of Barcelona, University of Barcelona, 08036 Barcelona, Spain
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42
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Wang X, Cairns MJ, Yan J. Super-enhancers in transcriptional regulation and genome organization. Nucleic Acids Res 2020; 47:11481-11496. [PMID: 31724731 PMCID: PMC7145697 DOI: 10.1093/nar/gkz1038] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 10/19/2019] [Accepted: 10/22/2019] [Indexed: 12/14/2022] Open
Abstract
Gene expression is precisely controlled in a stage and cell-type-specific manner, largely through the interaction between cis-regulatory elements and their associated trans-acting factors. Where these components aggregate in promoters and enhancers, they are able to cooperate to modulate chromatin structure and support the engagement in long-range 3D superstructures that shape the dynamics of a cell's genomic architecture. Recently, the term 'super-enhancer' has been introduced to describe a hyper-active regulatory domain comprising a complex array of sequence elements that work together to control the key gene networks involved in cell identity. Here, we survey the unique characteristics of super-enhancers compared to other enhancer types and summarize the recent advances in our understanding of their biological role in gene regulation. In particular, we discuss their capacity to attract the formation of phase-separated condensates, and capacity to generate three-dimensional genome structures that precisely activate their target genes. We also propose a multi-stage transition model to explain the evolutionary pressure driving the development of super-enhancers in complex organisms, and highlight the potential for involvement in tumorigenesis. Finally, we discuss more broadly the role of super-enhancers in human health disorders and related potential in therapeutic interventions.
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Affiliation(s)
- Xi Wang
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education / School of Life Sciences, Northwest University, Xi'an 710069, China.,Division of Theoretical Systems Biology, Germany Cancer Research Center, Heidelberg 69115, Germany.,School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - Murray J Cairns
- School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia.,Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW 2308, Australia; and Hunter Medical Research Institute
| | - Jian Yan
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education / School of Life Sciences, Northwest University, Xi'an 710069, China.,Department of Biomedical Sciences, City University of Hong Kong, Kowloon Tong, Hong Kong S.A.R., China
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43
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Role of Non-Coding RNAs in the Development of Targeted Therapy and Immunotherapy Approaches for Chronic Lymphocytic Leukemia. J Clin Med 2020; 9:jcm9020593. [PMID: 32098192 PMCID: PMC7074107 DOI: 10.3390/jcm9020593] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 02/14/2020] [Accepted: 02/16/2020] [Indexed: 12/15/2022] Open
Abstract
In the past decade, novel targeted therapy approaches, such as BTK inhibitors and Bcl2 blockers, and innovative treatments that regulate the immune response against cancer cells, such as monoclonal antibodies, CAR-T cell therapy, and immunomodulatory molecules, have been established to provide support for the treatment of patients. However, drug resistance development and relapse are still major challenges in CLL treatment. Several studies revealed that non-coding RNAs have a main role in the development and progression of CLL. Specifically, microRNAs (miRs) and tRNA-derived small-RNAs (tsRNAs) were shown to be outstanding biomarkers that can be used to diagnose and monitor the disease and to possibly anticipate drug resistance and relapse, thus supporting physicians in the selection of treatment regimens tailored to the patient needs. In this review, we will summarize the most recent discoveries in the field of targeted therapy and immunotherapy for CLL and discuss the role of ncRNAs in the development of novel drugs and combination regimens for CLL patients.
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44
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CRISPR/Cas9-generated models uncover therapeutic vulnerabilities of del(11q) CLL cells to dual BCR and PARP inhibition. Leukemia 2020; 34:1599-1612. [PMID: 31974435 PMCID: PMC7266745 DOI: 10.1038/s41375-020-0714-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 12/10/2019] [Accepted: 01/14/2020] [Indexed: 12/24/2022]
Abstract
The deletion of 11q (del(11q)) invariably comprises ATM gene in chronic lymphocytic leukemia (CLL). Concomitant mutations in this gene in the remaining allele have been identified in 1/3 of CLL cases harboring del(11q), being the biallelic loss of ATM associated with adverse prognosis. Although the introduction of targeted BCR inhibition has significantly favored the outcomes of del(11q) patients, responses of patients harboring ATM functional loss through biallelic inactivation are unexplored, and the development of resistances to targeted therapies have been increasingly reported, urging the need to explore novel therapeutic approaches. Here, we generated isogenic CLL cell lines harboring del(11q) and ATM mutations through CRISPR/Cas9-based gene-editing. With these models, we uncovered a novel therapeutic vulnerability of del(11q)/ATM-mutated cells to dual BCR and PARP inhibition. Ex vivo studies in the presence of stromal stimulation on 38 CLL primary samples confirmed a synergistic action of the combination of olaparib and ibrutinib in del(11q)/ATM-mutated CLL patients. In addition, we showed that ibrutinib produced a homologous recombination repair impairment through RAD51 dysregulation, finding a synergistic link of both drugs in the DNA damage repair pathway. Our data provide a preclinical rationale for the use of this combination in CLL patients with this high-risk cytogenetic abnormality.
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45
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Gutierrez C, Wu CJ. Clonal dynamics in chronic lymphocytic leukemia. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2019; 2019:466-475. [PMID: 31808879 PMCID: PMC6913465 DOI: 10.1182/hematology.2019000367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Chronic lymphocytic leukemia has a highly variable disease course across patients, thought to be driven by the vast inter- and intrapatient molecular heterogeneity described in several large-scale DNA-sequencing studies conducted over the past decade. Although the last 5 years have seen a dramatic shift in the therapeutic landscape for chronic lymphocytic leukemia, including the regulatory approval of several potent targeted agents (ie, idelalisib, ibrutinib, venetoclax), the vast majority of patients still inevitably experience disease recurrence or persistence. Recent genome-wide sequencing approaches have helped to identify subclonal populations within tumors that demonstrate a broad spectrum of somatic mutations, diverse levels of response to therapy, patterns of repopulation, and growth kinetics. Understanding the impact of genetic, epigenetic, and transcriptomic features on clonal growth dynamics and drug response will be an important step toward the selection and timing of therapy.
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MESH Headings
- Adenine/analogs & derivatives
- Bridged Bicyclo Compounds, Heterocyclic/therapeutic use
- Epigenesis, Genetic
- Gene Expression Regulation, Leukemic
- Genome-Wide Association Study
- Humans
- Leukemia, Lymphocytic, Chronic, B-Cell/drug therapy
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/metabolism
- Male
- Middle Aged
- Mutation
- Piperidines
- Purines/therapeutic use
- Pyrazoles/therapeutic use
- Pyrimidines/therapeutic use
- Quinazolinones/therapeutic use
- Sulfonamides/therapeutic use
- Transcriptome
- Whole Genome Sequencing
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Affiliation(s)
- Catherine Gutierrez
- Harvard Medical School, Boston, MA; and Dana-Farber Cancer Institute, Boston, MA
| | - Catherine J Wu
- Harvard Medical School, Boston, MA; and Dana-Farber Cancer Institute, Boston, MA
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46
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Raponi S, Del Giudice I, Marinelli M, Wang J, Cafforio L, Ilari C, Piciocchi A, Messina M, Bonina S, Tavolaro S, Bordyuh M, Mariglia P, Peragine N, Mauro FR, Chiaretti S, Molica S, Gentile M, Visentin A, Trentin L, Rigolin GM, Cuneo A, Diop F, Rossi D, Gaidano G, Guarini A, Rabadan R, Foà R. Genetic landscape of ultra-stable chronic lymphocytic leukemia patients. Ann Oncol 2019; 29:966-972. [PMID: 29365086 DOI: 10.1093/annonc/mdy021] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background Chronic lymphocytic leukemia (CLL) has a heterogeneous clinical course. Beside patients requiring immediate treatment, others show an initial indolent phase followed by progression and others do not progress for decades. The latter two subgroups usually display mutated IGHV genes and a favorable FISH profile. Patients and methods Patients with absence of disease progression for over 10 years (10-34) from diagnosis were defined as ultra-stable CLL (US-CLL). Forty US-CLL underwent extensive characterization including whole exome sequencing (WES), ultra-deep sequencing and copy number aberration (CNA) analysis to define their unexplored genetic landscape. Microarray analysis, comparing US-CLL with non-US-CLL with similar immunogenetic features (mutated IGHV/favorable FISH), was also carried out to recognize US-CLL at diagnosis. Results WES was carried out in 20 US-CLL and 84 non-silent somatic mutations in 78 genes were found. When re-tested in a validation cohort of 20 further US-CLL, no recurrent lesion was identified. No clonal mutations of NOTCH1, BIRC3, SF3B1 and TP53 were found, including ATM and other potential progression driving mutations. CNA analysis identified 31 lesions, none with known poor prognostic impact. No novel recurrent lesion was identified: most cases showed no lesions (38%) or an isolated del(13q) (31%). The expression of 6 genes, selected from a gene expression profile analysis by microarray and quantified by droplet digital PCR on a cohort of 79 CLL (58 US-CLL and 21 non-US-CLL), allowed to build a decision-tree capable of recognizing at diagnosis US-CLL patients. Conclusions The genetic landscape of US-CLL is characterized by the absence of known unfavorable driver mutations/CNA and of novel recurrent genetic lesions. Among CLL patients with favorable immunogenetics, a decision-tree based on the expression of 6 genes may identify at diagnosis patients who are likely to maintain an indolent disease for decades.
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Affiliation(s)
- S Raponi
- Hematolog, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy
| | - I Del Giudice
- Hematolog, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy
| | - M Marinelli
- Hematolog, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy
| | - J Wang
- Division of Life Science and Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong
| | - L Cafforio
- Hematolog, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy
| | - C Ilari
- Hematolog, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy
| | - A Piciocchi
- GIMEMA Data Centre, GIMEMA Foundation, Rome, Italy
| | - M Messina
- Hematolog, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy
| | - S Bonina
- Hematolog, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy
| | - S Tavolaro
- Hematolog, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy
| | - M Bordyuh
- Department of Systems Biology, Columbia University, New York, USA; Department of, Biomedical Informatics, Columbia University, New York, USA
| | - P Mariglia
- Hematolog, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy
| | - N Peragine
- Hematolog, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy
| | - F R Mauro
- Hematolog, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy
| | - S Chiaretti
- Hematolog, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy
| | - S Molica
- Department of Hematology-Oncology, Azienda Ospedaliera Pugliese-Ciaccio, Catanzaro, Italy
| | - M Gentile
- Hematology Uni, Department of Hemato-Oncology, Ospedale Annunziata, Cosenza, Italy
| | - A Visentin
- Hematology Sectio, Department of Clinical and Experimental Medicine, University of Padova, Padova, Italy
| | - L Trentin
- Hematology Sectio, Department of Clinical and Experimental Medicine, University of Padova, Padova, Italy
| | - G M Rigolin
- Hematology Sectio, Azienda Ospedaliero Universitaria Arcispedale S. Anna, University of Ferrara, Ferrara, Italy
| | - A Cuneo
- Hematology Sectio, Azienda Ospedaliero Universitaria Arcispedale S. Anna, University of Ferrara, Ferrara, Italy
| | - F Diop
- Division of Hematolog, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - D Rossi
- Department of Hematology, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Institute of Oncology Research, Bellinzona, Switzerland
| | - G Gaidano
- Division of Hematolog, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - A Guarini
- Department of Molecular Medicine, Sapienza University, Rome, Italy
| | - R Rabadan
- Department of Systems Biology, Columbia University, New York, USA; Department of, Biomedical Informatics, Columbia University, New York, USA
| | - R Foà
- Hematolog, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy.
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47
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Jebaraj BMC, Tausch E, Landau DA, Bahlo J, Robrecht S, Taylor-Weiner AN, Bloehdorn J, Scheffold A, Mertens D, Böttcher S, Kneba M, Jäger U, Zenz T, Wenger MK, Fingerle-Rowson G, Wendtner C, Fink AM, Wu CJ, Eichhorst B, Fischer K, Hallek M, Döhner H, Stilgenbauer S. Short telomeres are associated with inferior outcome, genomic complexity, and clonal evolution in chronic lymphocytic leukemia. Leukemia 2019; 33:2183-2194. [PMID: 30911113 PMCID: PMC6737251 DOI: 10.1038/s41375-019-0446-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2018] [Revised: 01/19/2019] [Accepted: 02/11/2019] [Indexed: 11/08/2022]
Abstract
Telomere length in chronic lymphocytic leukemia (CLL) has been shown to be of prognostic importance, but the analyses have largely been executed on heterogeneous patient cohorts outside of clinical trials. In the present study, we performed a comprehensive analysis of telomere length associations in the well characterized CLL8 trial (n = 620) of the German CLL study group, with validation in a representative cohort of the CLL4 trial (n = 293). Absolute telomere length was analyzed using quantitative-PCR. Apart from identifying associations of short telomere length with adverse prognostic factors and survival, the study identified cases with 17p- and 11q- associated with TP53 and ATM loss, respectively, to have the shortest telomeres, even when these aberrations were present in small subclones. Thus, telomere shortening may precede acquisition of the high-risk aberrations, contributing to disease evolution. In line with this, telomere shortening was associated with an increase in genomic complexity as well as clonal evolution, highlighting its importance as a biomarker especially in monitoring disease progression in non-high-risk CLL.
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Affiliation(s)
| | - Eugen Tausch
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Dan A Landau
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, USA
- New York Genome Center, New York, NY, USA
| | - Jasmin Bahlo
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | - Sandra Robrecht
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | | | | | - Annika Scheffold
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Daniel Mertens
- Department of Internal Medicine III, Ulm University, Ulm, Germany
- Mechanisms of Leukemogenesis, DKFZ, Heidelberg, Germany
| | - Sebastian Böttcher
- Department II of Internal Medicine, University Hospital of Schleswig-Holstein, Kiel, Germany
- Division of Internal Medicine, Medical Clinic III, Rostock University Medical Center, Rostock, Germany
| | - Michael Kneba
- Department II of Internal Medicine, University Hospital of Schleswig-Holstein, Kiel, Germany
| | - Ulrich Jäger
- Department of Medicine I, Division of Hematology and Hemostaeology, Medical University of Vienna, Vienna, Austria
| | - Thorsten Zenz
- Department of Internal Medicine III, Ulm University, Ulm, Germany
- Division of Hematology, University Hospital Zürich, Zürich, Switzerland
| | | | | | - Clemens Wendtner
- Klinikum Schwabing, Academic Teaching Hospital of University of Munich, Munich, Germany
| | - Anna-Maria Fink
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | | | - Barbara Eichhorst
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | - Kirsten Fischer
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | - Michael Hallek
- Department I for Internal Medicine and Centre for Integrated Oncology, University of Cologne, Cologne, Germany
| | - Hartmut Döhner
- Department of Internal Medicine III, Ulm University, Ulm, Germany
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48
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Edelmann J, Holzmann K, Tausch E, Saunderson EA, Jebaraj BMC, Steinbrecher D, Dolnik A, Blätte TJ, Landau DA, Saub J, Estenfelder S, Ibach S, Cymbalista F, Leblond V, Delmer A, Bahlo J, Robrecht S, Fischer K, Goede V, Bullinger L, Wu CJ, Mertens D, Ficz G, Gribben JG, Hallek M, Döhner H, Stilgenbauer S. Genomic alterations in high-risk chronic lymphocytic leukemia frequently affect cell cycle key regulators and NOTCH1-regulated transcription. Haematologica 2019; 105:1379-1390. [PMID: 31467127 PMCID: PMC7193490 DOI: 10.3324/haematol.2019.217307] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 08/23/2019] [Indexed: 12/14/2022] Open
Abstract
To identify genomic alterations contributing to the pathogenesis of high-risk chronic lymphocytic leukemia (CLL) beyond the well-established role of TP53 aberrations, we comprehensively analyzed 75 relapsed/refractory and 71 treatment-naïve high-risk cases from prospective clinical trials by single nucleotide polymorphism arrays and targeted next-generation sequencing. Increased genomic complexity was a hallmark of relapsed/refractory and treatment-naïve high-risk CLL. In relapsed/refractory cases previously exposed to the selective pressure of chemo(immuno)therapy, gain(8)(q24.21) and del(9)(p21.3) were particularly enriched. Both alterations affect key regulators of cell-cycle progression, namely MYC and CDKN2A/B. While homozygous CDKN2A/B loss has been directly associated with Richter transformation, we did not find this association for heterozygous loss of CDKN2A/B. Gains in 8q24.21 were either focal gains in a MYC enhancer region or large gains affecting the MYC locus, but only the latter type was highly enriched in relapsed/refractory CLL (17%). In addition to a high frequency of NOTCH1 mutations (23%), we found recurrent genetic alterations in SPEN (4% mutated), RBPJ (8% deleted) and SNW1 (8% deleted), all affecting a protein complex that represses transcription of NOTCH1 target genes. We investigated the functional impact of these alterations on HES1, DTX1 and MYC gene transcription and found derepression of these NOTCH1 target genes particularly with SPEN mutations. In summary, we provide new insights into the genomic architecture of high-risk CLL, define novel recurrent DNA copy number alterations and refine knowledge on del(9p), gain(8q) and alterations affecting NOTCH1 signaling. This study was registered at ClinicalTrials.gov with number NCT01392079.
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Affiliation(s)
- Jennifer Edelmann
- Department of Internal Medicine III, Ulm University, Ulm, Germany .,Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | | | - Eugen Tausch
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Emily A Saunderson
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | | | | | - Anna Dolnik
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Tamara J Blätte
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Dan A Landau
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA, USA.,New York Genome Center, New York, NY, USA
| | - Jenny Saub
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Sven Estenfelder
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Stefan Ibach
- Wissenschaftlicher Service Pharma GmbH (WiSP), Langenfeld, Germany
| | | | | | - Alain Delmer
- Service d'Hématologie Clinique, CHU de Reims, Reims, France
| | - Jasmin Bahlo
- Department of Internal Medicine I, University of Cologne, Cologne, Germany
| | - Sandra Robrecht
- Department of Internal Medicine I, University of Cologne, Cologne, Germany
| | - Kirsten Fischer
- Department of Internal Medicine I, University of Cologne, Cologne, Germany
| | - Valentin Goede
- Department of Internal Medicine I, University of Cologne, Cologne, Germany
| | - Lars Bullinger
- Department of Internal Medicine III, Ulm University, Ulm, Germany.,Department of Hematology, Oncology and Tumor Immunology, Charité University Medicine Berlin, Campus Virchow Klinikum, Berlin, Germany
| | - Catherine J Wu
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA, USA
| | - Daniel Mertens
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Gabriella Ficz
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - John G Gribben
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Michael Hallek
- Department of Internal Medicine I, University of Cologne, Cologne, Germany
| | - Hartmut Döhner
- Department of Internal Medicine III, Ulm University, Ulm, Germany
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49
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Abstract
Apoptosis, the process of programmed cell death, occurs normally during development and aging. Members of the B-cell lymphoma 2 (BCL2) family of proteins are central regulators of apoptosis, and resistance to apoptosis is one of the hallmarks of cancer. Targeting the apoptotic pathway via BCL2 inhibitors has been considered a promising treatment strategy in the past decade. Initial efforts with small molecule BH3 mimetics such as ABT-737 and ABT-263 (navitoclax) pioneered the development of the first-in-class Food and Drug Administration (FDA)-approved oral BCL2 inhibitor, venetoclax. Venetoclax was approved for the treatment of chronic lymphocytic leukemia and acute myeloid leukemia, and is now being studied in a number of hematologic malignancies. Several other inhibitors targeting different BCL2 family members are now in early stages of development.
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Affiliation(s)
- Fevzi F Yalniz
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 428, Houston, TX, 77030, USA
| | - William G Wierda
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 428, Houston, TX, 77030, USA.
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50
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Kostopoulou F, Gabillaud C, Chapiro E, Grange B, Tran J, Bouzy S, Degaud M, Ghamlouch H, Le Garff-Tavernier M, Maloum K, Choquet S, Leblond V, Gabarre J, Lavaud A, Morel V, Roos-Weil D, Uzunov M, Guieze R, Bernard OA, Susin SA, Tournilhac O, Nguyen-Khac F. Gain of the short arm of chromosome 2 (2p gain) has a significant role in drug-resistant chronic lymphocytic leukemia. Cancer Med 2019; 8:3131-3141. [PMID: 31066214 PMCID: PMC6558483 DOI: 10.1002/cam4.2123] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 02/07/2019] [Accepted: 03/12/2019] [Indexed: 12/27/2022] Open
Abstract
The different types of drug resistance encountered in chronic lymphocytic leukemia (CLL) cannot be fully accounted for by the 17p deletion (and/or TP53 mutation), a complex karyotype (CK), immunoglobulin heavy‐chain variable region genes (IGHV) status and gene mutations. Hence, we sought to assess the associations between recurrent genomic abnormalities in CLL and the disease's development and outcome. To this end, we analyzed 64 samples from patients with CLL and gain of the short arm of chromosome 2 (2p+), which is frequent in late‐stage and relapsed/refractory CLL. We found that fludarabine/cyclophosphamide/rituximab (a common first‐line treatment in CLL) is not effective in removing the 2p+ clone ‐ even in samples lacking a CK, the 17p deletion or unmutated IGHV. Our results suggest strongly that patients with CLL should be screened for 2p+ (using karyotyping and fluorescence in situ hybridization) before a treatment option is chosen. Longer follow‐up is now required to evaluate bendamustine‐rituximab, ibrutinib, and idelalisib‐rituximab treatments.
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Affiliation(s)
- Fotini Kostopoulou
- Service d'Hématologie Biologique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France.,Molecular Diagnostics Laboratory, KARYO Ltd, Thessaloniki, Greece
| | - Clementine Gabillaud
- Service d'Hématologie Biologique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Elise Chapiro
- Service d'Hématologie Biologique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France.,INSERM U1138, Centre de Recherche des Cordeliers, Sorbonne Université, Paris, France
| | - Beatrice Grange
- Service d'Hématologie Biologique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Julie Tran
- Service d'Hématologie Biologique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Simon Bouzy
- Service d'Hématologie Biologique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Michael Degaud
- Service d'Hématologie Biologique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Hussein Ghamlouch
- Gustave Roussy, INSERM U1170, Université Paris-Saclay, Villejuif, France
| | - Magali Le Garff-Tavernier
- Service d'Hématologie Biologique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France.,INSERM U1138, Centre de Recherche des Cordeliers, Sorbonne Université, Paris, France
| | - Karim Maloum
- Service d'Hématologie Biologique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Sylvain Choquet
- Service d'Hématologie Clinique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Veronique Leblond
- Service d'Hématologie Clinique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Jean Gabarre
- Service d'Hématologie Clinique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Anne Lavaud
- Service d'Hématologie Clinique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Veronique Morel
- Service d'Hématologie Clinique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Damien Roos-Weil
- Service d'Hématologie Clinique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Madalina Uzunov
- Service d'Hématologie Clinique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Romain Guieze
- Service d'Hématologie Clinique et de Thérapie Cellulaire, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Olivier A Bernard
- Gustave Roussy, INSERM U1170, Université Paris-Saclay, Villejuif, France
| | - Santos A Susin
- INSERM U1138, Centre de Recherche des Cordeliers, Sorbonne Université, Paris, France
| | - Olivier Tournilhac
- Service d'Hématologie Clinique et de Thérapie Cellulaire, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Florence Nguyen-Khac
- Service d'Hématologie Biologique, Sorbonne Université, Hôpital Pitié-Salpêtrière, APHP, Paris, France.,INSERM U1138, Centre de Recherche des Cordeliers, Sorbonne Université, Paris, France
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