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Bhat GR, Bhat A, Verma S, Sethi I, Shah R, Sharma V, Dar KA, Abrol D, Kaneez S, Kaul S, Ganju R, Kumar R. Association of newly identified genetic variant rs2853677 of TERT with non-small cell lung cancer and leukemia in population of Jammu and Kashmir, India. BMC Cancer 2019; 19:493. [PMID: 31126249 PMCID: PMC6533689 DOI: 10.1186/s12885-019-5685-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 05/08/2019] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Telomere genetics has recently been emerged as an important field in molecular oncology. Various genome-wide association studies in different population groups have revealed that polymorphisms in Telomere maintenance gene (TERT) gene located on 5p15.33 is associated with susceptibility to leukemia and lung cancer risk. However, association of TERT with leukemia and lung cancer risk in north Indian population groups is still unknown. This study observed the association between genetic variant rs2853677 of TERT and leukemia and lung cancer in the state of Jammu and Kashmir, India. METHODS A total of 781 subjects, out of which 381 cases (203 leukemic patients and 178 non-small cell lung cancer patients NSCLC) and 400 healthy controls were recruited for the study. Genetic variant rs2853677of TERT was detected using the real-time and Taqman Chemistry. Hardy-Weinberg Equilibrium was assessed using the chi square test. The allele and genotype- specific risks were estimated as odds ratio with 95% confidence interval. RESULTS We observed that variant rs2853677 was strongly associated with lung cancer and leukemia risk with an odds ratio (OR) =1.8 (1.03-3.2 at 95% CI); p value (adjusted) = 0.03; odds ratio (OR) =2.9 (1.4-5.5.at 95% CI); p value (adjusted) = 0.002, respectively. CONCLUSION The results of this study suggested that rs2853677 of TERT signifies association in multiple cancers and suggests that it can become potential marker for diagnosis of non-small cell lung cancer and leukemia. The study will provide an insight in understanding the genetic etiology and highlights the role of telomere-associated pathways in non-small cell lung cancer and leukemia. However, it would be quite interesting to explore the contribution of this variant in other cancers as well.
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Affiliation(s)
- Gh Rasool Bhat
- Cancer Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Amrita Bhat
- Cancer Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Sonali Verma
- Cancer Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Itty Sethi
- Human Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Ruchi Shah
- Human Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Varun Sharma
- Human Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Khursheed A Dar
- Chest Disease Hospital, Government Medical College, Srinagar, India
| | - Deepak Abrol
- Department of Radiotherapy, Government Medical College, Jammu, India
| | - Subiya Kaneez
- Department of Radiotherapy, Government Medical College, Srinagar, India
| | - Sandeep Kaul
- Department of surgical Oncology, Shri Mata Vaishno Devi Narayana Super speciality hospital, kata, India
| | - Ramesh Ganju
- Department of Pathology, College of Medicine, The OHIO State University, Columbus, USA
| | - Rakesh Kumar
- Cancer Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India.
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Pagotto S, Veronese A, Soranno A, Balatti V, Ramassone A, Guanciali-Franchi PE, Palka G, Innocenti I, Autore F, Rassenti LZ, Kipps TJ, Mariani-Costantini R, Laurenti L, Croce CM, Visone R. HNRNPL Restrains miR-155 Targeting of BUB1 to Stabilize Aberrant Karyotypes of Transformed Cells in Chronic Lymphocytic Leukemia. Cancers (Basel) 2019; 11:cancers11040575. [PMID: 31018621 PMCID: PMC6520824 DOI: 10.3390/cancers11040575] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 04/15/2019] [Accepted: 04/19/2019] [Indexed: 11/18/2022] Open
Abstract
Aneuploidy and overexpression of hsa-miR-155-5p (miR-155) characterize most solid and hematological malignancies. We recently demonstrated that miR-155 sustains aneuploidy at early stages of in vitro cellular transformation. During in vitro transformation of normal human fibroblast, upregulation of miR-155 downregulates spindle checkpoint proteins as the mitotic checkpoint serine/threonine kinase budding uninhibited by benzimidazoles 1 (BUB1), the centromere protein F (CENPF) and the zw10 kinetochore protein (ZW10), compromising the chromosome alignment at the metaphase plate and leading to aneuploidy in daughter cells. Here we show that the heterogeneous nuclear ribonucleoprotein L (HNRNPL) binds to the polymorphic marker D2S1888 at the 3′UTR of BUB1 gene, impairs the miR-155 targeting, and restores BUB1 expression in chronic lymphocytic leukemia. This mechanism occurs at advanced passages of cell transformation and allows the expansion of more favorable clones. Our findings have revealed, at least in part, the molecular mechanisms behind the chromosomal stabilization of cell lines and the concept that, to survive, tumor cells cannot continuously change their genetic heritage but need to stabilize the most suitable karyotype.
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Affiliation(s)
- Sara Pagotto
- Ageing Research Center and Translational medicine-CeSI-MeT, 66100 Chieti, Italy.
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy.
| | - Angelo Veronese
- Ageing Research Center and Translational medicine-CeSI-MeT, 66100 Chieti, Italy.
- Department of Medicine and Aging Sciences, "G. d'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy.
| | - Alessandra Soranno
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy.
| | - Veronica Balatti
- Department of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
| | - Alice Ramassone
- Ageing Research Center and Translational medicine-CeSI-MeT, 66100 Chieti, Italy.
- Department of Medicine and Aging Sciences, "G. d'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy.
| | - Paolo E Guanciali-Franchi
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy.
| | - Giandomenico Palka
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy.
| | - Idanna Innocenti
- Institute of Hematology, Catholic University of the Sacred Heart, 00168 Rome, Italy.
| | - Francesco Autore
- Institute of Hematology, Catholic University of the Sacred Heart, 00168 Rome, Italy.
| | - Laura Z Rassenti
- Department of Medicine, Moores Cancer Center, University of California at San Diego, La Jolla, CA 92093, USA.
- Chronic Lymphocytic Leukemia Research Consortium, San Diego, CA 92093, USA.
| | - Thomas J Kipps
- Department of Medicine, Moores Cancer Center, University of California at San Diego, La Jolla, CA 92093, USA.
- Chronic Lymphocytic Leukemia Research Consortium, San Diego, CA 92093, USA.
| | - Renato Mariani-Costantini
- Ageing Research Center and Translational medicine-CeSI-MeT, 66100 Chieti, Italy.
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy.
| | - Luca Laurenti
- Institute of Hematology, Catholic University of the Sacred Heart, 00168 Rome, Italy.
| | - Carlo M Croce
- Department of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
- Chronic Lymphocytic Leukemia Research Consortium, San Diego, CA 92093, USA.
| | - Rosa Visone
- Ageing Research Center and Translational medicine-CeSI-MeT, 66100 Chieti, Italy.
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy.
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Kinnersley B, Sud A, Coker EA, Tym JE, Di Micco P, Al-Lazikani B, Houlston RS. Leveraging Human Genetics to Guide Cancer Drug Development. JCO Clin Cancer Inform 2018; 2:1-11. [PMID: 30652614 PMCID: PMC6874034 DOI: 10.1200/cci.18.00077] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
PURPOSE The high attrition rate of cancer drug development programs is a barrier to realizing the promise of precision oncology. We have examined whether the genetic insights from genome-wide association studies of cancer can guide drug development and repurposing in oncology. MATERIALS AND METHODS Across 37 cancers, we identified 955 genetic risk variants from the National Human Genome Research Institute-European Bioinformatics Institute genome-wide association study catalog. We linked these variants to target genes using strategies that were based on linkage disequilibrium, DNA three-dimensional structure, and integration of predicted gene function and expression. With the use of the Informa Pharmaprojects database, we identified genes that are targets of unique drugs and assessed the level of enrichment that would be afforded by incorporation of genetic information in preclinical and phase II studies. For targets not under development, we implemented machine learning approaches to assess druggability. RESULTS For all preclinical targets incorporating genetic information, a 2.00-fold enrichment of a drug being successfully approved could be achieved (95% CI, 1.14- to 3.48-fold; P = .02). For phase II targets, a 2.75-fold enrichment could be achieved (95% CI, 1.42- to 5.35-fold; P < .001). Application of genetic information suggests potential repurposing of 15 approved nononcology drugs. CONCLUSION The findings illustrate the value of using insights from the genetics of inherited cancer susceptibility discovery projects as part of a data-driven strategy to inform drug discovery. Support for cancer germline genetic information for prospective targets is available online from the Institute of Cancer Research.
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Affiliation(s)
- Ben Kinnersley
- All authors: The Institute of Cancer Research, London, United Kingdom
| | - Amit Sud
- All authors: The Institute of Cancer Research, London, United Kingdom
| | | | - Joseph E. Tym
- All authors: The Institute of Cancer Research, London, United Kingdom
| | - Patrizio Di Micco
- All authors: The Institute of Cancer Research, London, United Kingdom
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Zucchelli C, Tamburri S, Filosa G, Ghitti M, Quilici G, Bachi A, Musco G. Sp140 is a multi-SUMO-1 target and its PHD finger promotes SUMOylation of the adjacent Bromodomain. Biochim Biophys Acta Gen Subj 2018; 1863:456-465. [PMID: 30465816 DOI: 10.1016/j.bbagen.2018.11.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 10/25/2018] [Accepted: 11/16/2018] [Indexed: 12/15/2022]
Abstract
BACKGROUND Human Sp140 protein is a leukocyte-specific member of the speckled protein (Sp) family (Sp100, Sp110, Sp140, Sp140L), a class of multi-domain nuclear proteins involved in intrinsic immunity and transcriptional regulation. Sp140 regulates macrophage transcriptional program and is implicated in several haematologic malignancies. Little is known about Sp140 structural domains and its post-translational modifications. METHODS We used mass spectrometry and biochemical experiments to investigate endogenous Sp140 SUMOylation in Burkitt's Lymphoma cells and Sp140 SUMOylation sites in HEK293T cells, FLAG-Sp140 transfected and His6-SUMO-1T95K infected. NMR spectroscopy and in vitro SUMOylation reactions were applied to investigate the role of Sp140 PHD finger in the SUMOylation of the adjacent BRD. RESULTS Endogenous Sp140 is a SUMO-1 target, whereby FLAG-Sp140 harbors at least 13 SUMOylation sites distributed along the protein sequence, including the BRD. NMR experiments prove direct binding of the SUMO E2 ligase Ubc9 and SUMO-1 to PHD-BRDSp140. In vitro SUMOylation reactions show that the PHDSp140 behaves as SUMO E3 ligase, assisting intramolecular SUMOylation of the adjacent BRD. CONCLUSIONS Sp140 is multi-SUMOylated and its PHD finger works as versatile protein-protein interaction platform promoting intramolecular SUMOylation of the adjacent BRD. Thus, combinatorial association of Sp140 chromatin binding domains generates a multifaceted interaction scaffold, whose function goes beyond the canonical histone recognition. GENERAL SIGNIFICANCE The addition of Sp140 to the increasing lists of multi-SUMOylated proteins opens new perspectives for molecular studies on Sp140 transcriptional activity, where SUMOylation could represent a regulatory route and a docking surface for the recruitment and assembly of leukocyte-specific transcription regulators.
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Affiliation(s)
- Chiara Zucchelli
- Biomolecular NMR Unit c/o IRCCS S. Raffaele, Via Olgettina 58, 20132 Milano, Italy
| | - Simone Tamburri
- IFOM-FIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milano, Italy; San Raffaele Vita-Salute University, Via Olgettina 60, 20132 Milano, Italy
| | - Giuseppe Filosa
- IFOM-FIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milano, Italy
| | - Michela Ghitti
- Biomolecular NMR Unit c/o IRCCS S. Raffaele, Via Olgettina 58, 20132 Milano, Italy
| | - Giacomo Quilici
- Biomolecular NMR Unit c/o IRCCS S. Raffaele, Via Olgettina 58, 20132 Milano, Italy
| | - Angela Bachi
- IFOM-FIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milano, Italy.
| | - Giovanna Musco
- Biomolecular NMR Unit c/o IRCCS S. Raffaele, Via Olgettina 58, 20132 Milano, Italy.
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Genome-wide association study identifies an acute myeloid leukemia susceptibility locus near BICRA. Leukemia 2018; 33:771-775. [PMID: 30291333 PMCID: PMC6405293 DOI: 10.1038/s41375-018-0281-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Revised: 08/30/2018] [Accepted: 09/12/2018] [Indexed: 11/16/2022]
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56
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Miyazaki Y, Tuechler H, Sanz G, Schanz J, Garcia-Manero G, Solé F, Bennett JM, Bowen D, Fenaux P, Dreyfus F, Kantarjian H, Kuendgen A, Malcovati L, Cazzola M, Cermak J, Fonatsch C, Le Beau MM, Slovak ML, Santini V, Lübbert M, Maciejewski J, Machherndl-Spandl S, Magalhaes SMM, Pfeilstöcker M, Sekeres MA, Sperr WR, Stauder R, Tauro S, Valent P, Vallespi T, van de Loosdrecht AA, Germing U, Haase D, Greenberg PL. Differing clinical features between Japanese and Caucasian patients with myelodysplastic syndromes: Analysis from the International Working Group for Prognosis of MDS. Leuk Res 2018; 73:51-57. [PMID: 30219650 DOI: 10.1016/j.leukres.2018.08.022] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 08/07/2018] [Accepted: 08/31/2018] [Indexed: 01/12/2023]
Abstract
Clinical features of myelodysplastic syndromes (MDS) could be influenced by many factors, such as disease intrinsic factors (e.g., morphologic, cytogenetic, molecular), extrinsic factors (e.g, management, environment), and ethnicity. Several previous studies have suggested such differences between Asian and European/USA countries. In this study, to elucidate potential differences in primary untreated MDS between Japanese (JPN) and Caucasians (CAUC), we analyzed the data from a large international database collected by the International Working Group for Prognosis of MDS (300 and 5838 patients, respectively). JPN MDS were significantly younger with more severe cytopenias, and cytogenetic differences: less del(5q) and more +1/+1q, -1/del(1p), der(1;7), -9/del(9q), del(16q), and del(20q). Although differences in time to acute myeloid leukemia transformation did not occur, a significantly better survival in JPN was demonstrated, even after the adjustment for age and FAB subtypes, especially in lower, but not in higher prognostic risk categories. Certain clinical factors (cytopenias, blast percentage, cytogenetic risk) had different impact on survival and time to transformation to leukemia between the two groups. Although possible confounding events (e.g., environment, diet, and access to care) could not be excluded, our results indicated the existence of clinically relevant ethnic differences regarding survival in MDS between JPN and CAUC patients. The good performance of the IPSS-R in both CAUC and JP patients underlines that its common risk model is adequate for CAUC and JP.
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Affiliation(s)
- Yasushi Miyazaki
- Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
| | - Heinz Tuechler
- L. Boltzmann Institute for Leukemia Research, Vienna, Austria
| | | | - Julie Schanz
- University Medical Center, Clinics of Haematology and Medical Oncology, Göttingen, Germany
| | | | - Francesc Solé
- Institut de Recerca contra la Leucèmia Josep Carreras, Barcelona, Spain
| | - John M Bennett
- James P. Wilmot Cancer Center, University of Rochester Medical Center, Rochester, NY, United States
| | - David Bowen
- St James's University Hospital, Leeds, United Kingdom
| | - Pierre Fenaux
- Hopital Avicenne, Assistance Publique-Hopitaux de Paris (AP-HP)/University of Paris XIII, Bobigny, France
| | | | - Hagop Kantarjian
- The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | | | - Luca Malcovati
- Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo and University of Pavia, Pavia, Italy
| | - Mario Cazzola
- Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo and University of Pavia, Pavia, Italy
| | - Jaroslav Cermak
- Institute of Hematology and Blood Transfusion, Praha, Czech Republic
| | | | - Michelle M Le Beau
- University of Chicago Comprehensive Cancer Research Center, Chicago, IL, United States
| | - Marilyn L Slovak
- Department of Pathology, University of New Mexico, Albuquerque, NM, United States
| | - Valeria Santini
- MDS Unit, Ematologia, AOU Careggi, Università degli Studi di Firenze, Firenze, Italy
| | - Michael Lübbert
- University of Freiburg Medical Center, Faculty of Medicine, Freiburg, Germany
| | | | | | | | | | | | - Wolfgang R Sperr
- Department of Internal Medicine I, Division of Hematology & Hemostaseology and Ludwig Boltzmann Cluster Oncology, Medical University of Vienna, Austria
| | | | | | - Peter Valent
- Department of Internal Medicine I, Division of Hematology & Hemostaseology and Ludwig Boltzmann Cluster Oncology, Medical University of Vienna, Austria
| | | | | | | | - Detlef Haase
- University Medical Center, Clinics of Haematology and Medical Oncology, Göttingen, Germany
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Kleinstern G, Camp NJ, Goldin LR, Vachon CM, Vajdic CM, de Sanjose S, Weinberg JB, Benavente Y, Casabonne D, Liebow M, Nieters A, Hjalgrim H, Melbye M, Glimelius B, Adami HO, Boffetta P, Brennan P, Maynadie M, McKay J, Cocco PL, Shanafelt TD, Call TG, Norman AD, Hanson C, Robinson D, Chaffee KG, Brooks-Wilson AR, Monnereau A, Clavel J, Glenn M, Curtin K, Conde L, Bracci PM, Morton LM, Cozen W, Severson RK, Chanock SJ, Spinelli JJ, Johnston JB, Rothman N, Skibola CF, Leis JF, Kay NE, Smedby KE, Berndt SI, Cerhan JR, Caporaso N, Slager SL. Association of polygenic risk score with the risk of chronic lymphocytic leukemia and monoclonal B-cell lymphocytosis. Blood 2018; 131:2541-2551. [PMID: 29674426 PMCID: PMC5992865 DOI: 10.1182/blood-2017-11-814608] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Accepted: 03/23/2018] [Indexed: 01/07/2023] Open
Abstract
Inherited loci have been found to be associated with risk of chronic lymphocytic leukemia (CLL). A combined polygenic risk score (PRS) of representative single nucleotide polymorphisms (SNPs) from these loci may improve risk prediction over individual SNPs. Herein, we evaluated the association of a PRS with CLL risk and its precursor, monoclonal B-cell lymphocytosis (MBL). We assessed its validity and discriminative ability in an independent sample and evaluated effect modification and confounding by family history (FH) of hematological cancers. For discovery, we pooled genotype data on 41 representative SNPs from 1499 CLL and 2459 controls from the InterLymph Consortium. For validation, we used data from 1267 controls from Mayo Clinic and 201 CLL, 95 MBL, and 144 controls with a FH of CLL from the Genetic Epidemiology of CLL Consortium. We used odds ratios (ORs) to estimate disease associations with PRS and c-statistics to assess discriminatory accuracy. In InterLymph, the continuous PRS was strongly associated with CLL risk (OR, 2.49; P = 4.4 × 10-94). We replicated these findings in the Genetic Epidemiology of CLL Consortium and Mayo controls (OR, 3.02; P = 7.8 × 10-30) and observed high discrimination (c-statistic = 0.78). When jointly modeled with FH, PRS retained its significance, along with FH status. Finally, we found a highly significant association of the continuous PRS with MBL risk (OR, 2.81; P = 9.8 × 10-16). In conclusion, our validated PRS was strongly associated with CLL risk, adding information beyond FH. The PRS provides a means of identifying those individuals at greater risk for CLL as well as those at increased risk of MBL, a condition that has potential clinical impact beyond CLL.
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Affiliation(s)
| | - Nicola J Camp
- Huntsman Cancer Institute and Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT
| | - Lynn R Goldin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Celine M Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Claire M Vajdic
- Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia
| | - Silvia de Sanjose
- CIBER de Epidemiología y Salud Pública, Barcelona, Spain
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Institute d'Investigacio Biomedica de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - J Brice Weinberg
- Department of Medicine and
- Department of Immunology, Duke University Medical Center, Durham, NC
- Durham Veterans Affairs Medical Center, Durham, NC
| | - Yolanda Benavente
- CIBER de Epidemiología y Salud Pública, Barcelona, Spain
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Institute d'Investigacio Biomedica de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Delphine Casabonne
- CIBER de Epidemiología y Salud Pública, Barcelona, Spain
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Institute d'Investigacio Biomedica de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Mark Liebow
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN
| | - Alexandra Nieters
- Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, Baden-Württemberg, Germany
| | - Henrik Hjalgrim
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
| | - Mads Melbye
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Paolo Boffetta
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Marc Maynadie
- Registre des Hémopathies Malignes de Côte d'Or, INSERM UMR1231, Université de Bourgogne-Franche-Comté, Dijon, France
| | - James McKay
- International Agency for Research on Cancer, Lyon, France
| | - Pier Luigi Cocco
- Department of Medical Sciences and Public Health, Occupational Health Section, University of Cagliari, Monserrato, Italy
| | | | | | - Aaron D Norman
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Curtis Hanson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Dennis Robinson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Kari G Chaffee
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Angela R Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Alain Monnereau
- Registre des Hémopathies Malignes de la Gironde, Institut Bergonié, University of Bordeaux, INSERM, Team EPICENE, UMR 1219, Bordeaux, France
- Epidemiology of Childhood and Adolescent Cancers Group, INSERM, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité, Paris, France
- Université Paris Descartes, Paris, France
| | - Jacqueline Clavel
- Epidemiology of Childhood and Adolescent Cancers Group, INSERM, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité, Paris, France
- Université Paris Descartes, Paris, France
| | - Martha Glenn
- Huntsman Cancer Institute and Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT
| | - Karen Curtin
- Huntsman Cancer Institute and Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT
| | - Lucia Conde
- UCL Cancer Institute, London, United Kingdom
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Wendy Cozen
- Department of Preventive Medicine and
- Norris Comprehensive Cancer Center, USC Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Richard K Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - John J Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - James B Johnston
- Department of Medical Oncology, Cancer Care Manitoba, Winnipeg, MB, Canada
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Christine F Skibola
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA
| | - Jose F Leis
- Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ; and
| | - Neil E Kay
- Department of Medical Sciences and Public Health, Occupational Health Section, University of Cagliari, Monserrato, Italy
| | - Karin E Smedby
- Department of Medicine, Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
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Xu H, Dorn GW, Shetty A, Parihar A, Dave T, Robinson SW, Gottlieb SS, Donahue MP, Tomaselli GF, Kraus WE, Mitchell BD, Liggett SB. A Genome-Wide Association Study of Idiopathic Dilated Cardiomyopathy in African Americans. J Pers Med 2018; 8:E11. [PMID: 29495422 PMCID: PMC5872085 DOI: 10.3390/jpm8010011] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 02/17/2018] [Accepted: 02/21/2018] [Indexed: 01/03/2023] Open
Abstract
Idiopathic dilated cardiomyopathy (IDC) is the most common form of non-ischemic chronic heart failure. Despite the higher prevalence of IDC in African Americans, the genetics of IDC have been relatively understudied in this ethnic group. We performed a genome-wide association study to identify susceptibility genes for IDC in African Americans recruited from five sites in the U.S. (662 unrelated cases and 1167 controls). The heritability of IDC was calculated to be 33% (95% confidence interval: 19-47%; p = 6.4 × 10-7). We detected association of a variant in a novel intronic locus in the CACNB4 gene meeting genome-wide levels of significance (p = 4.1 × 10-8). The CACNB4 gene encodes a calcium channel subunit expressed in the heart that is important for cardiac muscle contraction. This variant has not previously been associated with IDC in any racial group. Pathway analysis, based on the 1000 genes most strongly associated with IDC, showed an enrichment for genes related to calcium signaling, growth factor signaling, neuronal/neuromuscular signaling, and various types of cellular level signaling, including gap junction and cAMP signaling. Our results suggest a novel locus for IDC in African Americans and provide additional insights into the genetic architecture and etiology.
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Affiliation(s)
- Huichun Xu
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
| | - Gerald W Dorn
- Center for Pharmacogenomics, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Amol Shetty
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
| | - Ankita Parihar
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
| | - Tushar Dave
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
| | - Shawn W Robinson
- Division of Cardiovascular Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
| | - Stephen S Gottlieb
- Division of Cardiovascular Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
| | - Mark P Donahue
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC 27708, USA.
| | - Gordon F Tomaselli
- Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD 21218, USA.
| | - William E Kraus
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC 27708, USA.
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701, USA.
| | - Braxton D Mitchell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD 21201, USA.
| | - Stephen B Liggett
- Department of Internal Medicine and Molecular Pharmacology and Physiology, and the Center for Personalized Medicine and Genomics, University of South Florida Morsani College of Medicine, Tampa, FL 33612, USA.
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59
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Allan JN, Furman RR. Optimal management of the young patient CLL patient. Best Pract Res Clin Haematol 2018; 31:73-82. [PMID: 29452669 DOI: 10.1016/j.beha.2017.10.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 10/23/2017] [Indexed: 11/26/2022]
Abstract
The emergence of targeted therapy for patients with chronic lymphocytic leukemia (CLL) has permanently altered the therapeutic landscape. In both upfront and relapsed settings, safe and effective oral kinase inhibitors are available which rival the responses and durability seen with standard chemo immunotherapy regimens. In 2016, ibrutinib was granted Federal Drug Administration approval for first-line therapy in patients with CLL. While its role as initial therapy for older, unfit or deleted 17p CLL patients is less controversial, its role as first-line treatment for younger fit patients is less clear, begging the question, what is the optimal treatment for these patients, novel agents or standard CIT strategies? In this review, we aim to provide guidance for what we believe is the optimal management of young fit patients with CLL.
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Affiliation(s)
- John N Allan
- Weill Cornell Medicine, Division of Hematology and Medical Oncology, CLL Research Center, 1305 York Ave, New York, NY, 10021, USA.
| | - Richard R Furman
- Weill Cornell Medicine, Division of Hematology and Medical Oncology, CLL Research Center, 1305 York Ave, New York, NY, 10021, USA
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60
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Shukla V, Shukla A, Joshi SS, Lu R. Interferon regulatory factor 4 attenuates Notch signaling to suppress the development of chronic lymphocytic leukemia. Oncotarget 2018; 7:41081-41094. [PMID: 27232759 PMCID: PMC5173044 DOI: 10.18632/oncotarget.9596] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Accepted: 05/14/2016] [Indexed: 11/25/2022] Open
Abstract
Molecular pathogenesis of Chronic Lymphocytic Leukemia (CLL) is not fully elucidated. Genome wide association studies have linked Interferon Regulatory Factor 4 (IRF4) to the development of CLL. We recently established a causal relationship between low levels of IRF4 and development of CLL. However, the molecular mechanism through which IRF4 suppresses CLL development remains unclear. Deregulation of Notch signaling pathway has been identified as one of the most recurrent molecular anomalies in the pathogenesis of CLL. Yet, the role of Notch signaling as well as its regulation during CLL development remains poorly understood. Previously, we demonstrated that IRF4 deficient mice expressing immunoglobulin heavy chain Vh11 (IRF4−/−Vh11) developed spontaneous CLL with complete penetrance. In this study, we show that elevated Notch2 expression and the resulting hyperactivation of Notch signaling are common features of IRF4−/−Vh11 CLL cells. Our studies further reveal that Notch signaling is indispensable for CLL development in the IRF4−/−Vh11 mice. Moreover, we identify E3 ubiquitin ligase Nedd4, which targets Notch for degradation, as a direct target of IRF4 in CLL cells and their precursors. Collectively, our studies provide the first in vivo evidence for an essential role of Notch signaling in the development of CLL and establish IRF4 as a critical regulator of Notch signaling during CLL development.
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Affiliation(s)
- Vipul Shukla
- Department of Genetics Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, USA
| | - Ashima Shukla
- Department of Genetics Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, USA
| | - Shantaram S Joshi
- Department of Genetics Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, USA
| | - Runqing Lu
- Department of Genetics Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, USA
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61
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Park E, Pan Z, Zhang Z, Lin L, Xing Y. The Expanding Landscape of Alternative Splicing Variation in Human Populations. Am J Hum Genet 2018; 102:11-26. [PMID: 29304370 PMCID: PMC5777382 DOI: 10.1016/j.ajhg.2017.11.002] [Citation(s) in RCA: 225] [Impact Index Per Article: 37.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Accepted: 11/03/2017] [Indexed: 12/16/2022] Open
Abstract
Alternative splicing is a tightly regulated biological process by which the number of gene products for any given gene can be greatly expanded. Genomic variants in splicing regulatory sequences can disrupt splicing and cause disease. Recent developments in sequencing technologies and computational biology have allowed researchers to investigate alternative splicing at an unprecedented scale and resolution. Population-scale transcriptome studies have revealed many naturally occurring genetic variants that modulate alternative splicing and consequently influence phenotypic variability and disease susceptibility in human populations. Innovations in experimental and computational tools such as massively parallel reporter assays and deep learning have enabled the rapid screening of genomic variants for their causal impacts on splicing. In this review, we describe technological advances that have greatly increased the speed and scale at which discoveries are made about the genetic variation of alternative splicing. We summarize major findings from population transcriptomic studies of alternative splicing and discuss the implications of these findings for human genetics and medicine.
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Affiliation(s)
- Eddie Park
- Department of Microbiology, Immunology, & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Zhicheng Pan
- Bioinformatics Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Zijun Zhang
- Bioinformatics Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Lan Lin
- Department of Microbiology, Immunology, & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Yi Xing
- Department of Microbiology, Immunology, & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Bioinformatics Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, CA 90095, USA.
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62
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Kim EE, Lee S, Lee CH, Oh H, Song K, Han B. FOLD: a method to optimize power in meta-analysis of genetic association studies with overlapping subjects. Bioinformatics 2017; 33:3947-3954. [PMID: 29036405 PMCID: PMC5860085 DOI: 10.1093/bioinformatics/btx463] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 07/19/2017] [Indexed: 11/26/2022] Open
Abstract
Motivation In genetic association studies, meta-analyses are widely used to increase the statistical power by aggregating information from multiple studies. In meta-analyses, participating studies often share the same individuals due to the shared use of publicly available control data or accidental recruiting of the same subjects. As such overlapping can inflate false positive rate, overlapping subjects are traditionally split in the studies prior to meta-analysis, which requires access to genotype data and is not always possible. Fortunately, recently developed meta-analysis methods can systematically account for overlapping subjects at the summary statistics level. Results We identify and report a phenomenon that these methods for overlapping subjects can yield low power. For instance, in our simulation involving a meta-analysis of five studies that share 20% of individuals, whereas the traditional splitting method achieved 80% power, none of the new methods exceeded 32% power. We found that this low power resulted from the unaccounted differences between shared and unshared individuals in terms of their contributions towards the final statistic. Here, we propose an optimal summary-statistic-based method termed as FOLD that increases the power of meta-analysis involving studies with overlapping subjects. Availability and implementation Our method is available at http://software.buhmhan.com/FOLD. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Emma E Kim
- Asan Institute for Life Sciences, Asan Medical Center, Seoul 138-736, Korea.,Department of Chemistry, Seoul National University, Seoul 151-747, Korea
| | - Seunghoon Lee
- Department of Chemistry, Seoul National University, Seoul 151-747, Korea
| | | | - Hyunjung Oh
- Department of Biochemistry and Molecular Biology, University of Ulsan College of Medicine, Seoul 138-736, Korea
| | - Kyuyoung Song
- Department of Biochemistry and Molecular Biology, University of Ulsan College of Medicine, Seoul 138-736, Korea
| | - Buhm Han
- Asan Institute for Life Sciences, Asan Medical Center, Seoul 138-736, Korea.,Department of Convergence Medicine
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63
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Sud A, Kinnersley B, Houlston RS. Genome-wide association studies of cancer: current insights and future perspectives. Nat Rev Cancer 2017; 17:692-704. [PMID: 29026206 DOI: 10.1038/nrc.2017.82] [Citation(s) in RCA: 232] [Impact Index Per Article: 33.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Genome-wide association studies (GWAS) provide an agnostic approach for investigating the genetic basis of complex diseases. In oncology, GWAS of nearly all common malignancies have been performed, and over 450 genetic variants associated with increased risks have been identified. As well as revealing novel pathways important in carcinogenesis, these studies have shown that common genetic variation contributes substantially to the heritable risk of many common cancers. The clinical application of GWAS is starting to provide opportunities for drug discovery and repositioning as well as for cancer prevention. However, deciphering the functional and biological basis of associations is challenging and is in part a barrier to fully unlocking the potential of GWAS.
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Affiliation(s)
- Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research
- Division of Molecular Pathology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, London SM2 5NG, UK
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64
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Li J, Qin Y, Zhang H. Identification of key miRNA-gene pairs in chronic lymphocytic leukemia through integrated analysis of mRNA and miRNA microarray. Oncol Lett 2017; 15:361-367. [PMID: 29285196 PMCID: PMC5738675 DOI: 10.3892/ol.2017.7287] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Accepted: 10/17/2017] [Indexed: 12/17/2022] Open
Abstract
The aim of the present study was to explore the miRNA-Gene regulatory mechanism in chronic lymphocytic leukemia (CLL), and identify new targets for the therapy of CLL. The miRNA expression dataset GSE62137 and mRNA expression dataset GSE22529 were downloaded from National Center of Biotechnology Information Gene Expression Omnibus database. In CLL samples compared with normal B cell samples, differentially expressed miRNAs (DEMs) were identified via the GEO2R instrument of GEO and differentially expressed genes (DEGs) were obtained via the limma package of R. Functional enrichment analysis of the DEGs was performed via the Database for Annotation, Visualization and Integrated Discovery. The targets of the DEMs were identified based on the miRNAWalk platform. The overlaps between the DEGs and the targets of the DEMs were selected, and the miRNA-Gene regulatory network was constructed based on the overlaps and the corresponding DEMs. A total of 63 DEMs and 504 DEGs were identified in CLL samples compared with normal B cell samples. Eleven enriched functional clusters of the DEGs were obtained. 405 miRNA-Gene regulatory pairs were identified. The miRNA-Gene regulatory pairs contained 351 target genes of the DEMs, including 9 overlaps with the DEGs. A miRNA-Gene regulatory network was constructed. Bioinformatics methods could help us develop a better understanding of the molecular mechanism of CLL. MiRNAs may play a critical role in regulating the process of CLL. They may affect CLL by regulating the processes of immunoreactivity and protein degradation. Genes such as Neurogenic Locus Notch Homolog Protein 2, PR/SET domain 4 and A-kinase anchoring protein 12 may be their regulating targets in CLL.
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Affiliation(s)
- Jie Li
- Department of Transfusion Medicine, The Fifth Central Hospital of Tianjin, Tianjin 300450, P.R. China
| | - Yi Qin
- Institute of Medical Laboratory, Tianjin Medical University, Tianjin 300072, P.R. China
| | - Haiyan Zhang
- Department of Medical Record Management, The Fifth Central Hospital of Tianjin, Tianjin 300450, P.R. China
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65
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Pace NP, Maggouta F, Twigden M, Borg I. Molecular cytogenetic characterisation of a novel de novo ring chromosome 6 involving a terminal 6p deletion and terminal 6q duplication in the different arms of the same chromosome. Mol Cytogenet 2017; 10:9. [PMID: 28344652 PMCID: PMC5364590 DOI: 10.1186/s13039-017-0311-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 03/17/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Ring chromosome 6 is a rare sporadic chromosomal abnormality, associated with extreme variability in clinical phenotypes. Most ring chromosomes are known to have deletions on one or both chromosomal arms. Here, we report an atypical and unique ring chromosome 6 involving both a distal deletion and a distal duplication on the different arms of the same chromosome. CASE PRESENTATION In a patient with intellectual disability, short stature, microcephaly, facial dysmorphology, congenital heart defects and renovascular disease, a ring chromosome 6 was characterised using array-CGH and dual-colour FISH. The de-novo ring chromosome 6 involved a 1.8 Mb terminal deletion in the distal short arm and a 2.5 Mb duplication in the distal long arm of the same chromosome 6. This results in monosomy for the region 6pter to 6p25.3 and trisomy for the region 6q27 to 6qter. Analysis of genes in these chromosomal regions suggests that haploinsufficiency for FOXC1 and GMDS genes accounts for the cardiac and neurodevelopmental phenotypes in the proband. The ring chromosome 6 reported here is atypical as it involves a unique duplication of the distal long arm. Furthermore, the presence of renovascular disease is also a unique feature identified in this patient. CONCLUSION To the best of our knowledge, a comparable ring chromosome 6 involving both a distal deletion and duplication on different arms has not been previously reported. The renovascular disease identified in this patient may be a direct consequence of the described chromosome rearrangement or a late clinical presentation in r(6) cases. This clinical finding may further support the implicated role of FOXC1 gene in renal pathology.
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Affiliation(s)
- Nikolai Paul Pace
- Centre for Molecular Medicine and Biobanking, Faculty of Medicine and Surgery, University of Malta, Msida, Malta
| | - Frideriki Maggouta
- Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury, UK
| | - Melissa Twigden
- Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury, UK
| | - Isabella Borg
- Centre for Molecular Medicine and Biobanking, Faculty of Medicine and Surgery, University of Malta, Msida, Malta.,Department of Pathology, Faculty of Medicine and Surgery, University of Malta, Msida, Malta.,Department of Pathology, Medical Genetics Unit, Mater Dei Hospital, Msida, Malta
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66
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Law PJ, Berndt SI, Speedy HE, Camp NJ, Sava GP, Skibola CF, Holroyd A, Joseph V, Sunter NJ, Nieters A, Bea S, Monnereau A, Martin-Garcia D, Goldin LR, Clot G, Teras LR, Quintela I, Birmann BM, Jayne S, Cozen W, Majid A, Smedby KE, Lan Q, Dearden C, Brooks-Wilson AR, Hall AG, Purdue MP, Mainou-Fowler T, Vajdic CM, Jackson GH, Cocco P, Marr H, Zhang Y, Zheng T, Giles GG, Lawrence C, Call TG, Liebow M, Melbye M, Glimelius B, Mansouri L, Glenn M, Curtin K, Diver WR, Link BK, Conde L, Bracci PM, Holly EA, Jackson RD, Tinker LF, Benavente Y, Boffetta P, Brennan P, Maynadie M, McKay J, Albanes D, Weinstein S, Wang Z, Caporaso NE, Morton LM, Severson RK, Riboli E, Vineis P, Vermeulen RCH, Southey MC, Milne RL, Clavel J, Topka S, Spinelli JJ, Kraft P, Ennas MG, Summerfield G, Ferri GM, Harris RJ, Miligi L, Pettitt AR, North KE, Allsup DJ, Fraumeni JF, Bailey JR, Offit K, Pratt G, Hjalgrim H, Pepper C, Chanock SJ, Fegan C, Rosenquist R, de Sanjose S, Carracedo A, Dyer MJS, Catovsky D, Campo E, Cerhan JR, Allan JM, Rothman N, Houlston R, Slager S. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia. Nat Commun 2017; 8:14175. [PMID: 28165464 PMCID: PMC5303820 DOI: 10.1038/ncomms14175] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Accepted: 12/06/2016] [Indexed: 02/07/2023] Open
Abstract
Several chronic lymphocytic leukaemia (CLL) susceptibility loci have been reported; however, much of the heritable risk remains unidentified. Here we perform a meta-analysis of six genome-wide association studies, imputed using a merged reference panel of 1,000 Genomes and UK10K data, totalling 6,200 cases and 17,598 controls after replication. We identify nine risk loci at 1p36.11 (rs34676223, P=5.04 × 10-13), 1q42.13 (rs41271473, P=1.06 × 10-10), 4q24 (rs71597109, P=1.37 × 10-10), 4q35.1 (rs57214277, P=3.69 × 10-8), 6p21.31 (rs3800461, P=1.97 × 10-8), 11q23.2 (rs61904987, P=2.64 × 10-11), 18q21.1 (rs1036935, P=3.27 × 10-8), 19p13.3 (rs7254272, P=4.67 × 10-8) and 22q13.33 (rs140522, P=2.70 × 10-9). These new and established risk loci map to areas of active chromatin and show an over-representation of transcription factor binding for the key determinants of B-cell development and immune response.
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Affiliation(s)
- Philip J. Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Helen E. Speedy
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Nicola J. Camp
- Department of Internal Medicine, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah 84112, USA
| | - Georgina P. Sava
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Christine F. Skibola
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
| | - Amy Holroyd
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Vijai Joseph
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Nicola J. Sunter
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Alexandra Nieters
- Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, Baden-Württemberg 79108, Germany
| | - Silvia Bea
- Institut d'Investigacions Biomèdiques August Pi iSunyer (IDIBAPS), Hospital Clínic, Barcelona 08036, Spain
| | - Alain Monnereau
- Registre des hémopathies malignes de la Gironde, Institut Bergonié, Inserm U1219 EPICENE, 33076 Bordeaux, France
- Epidemiology of Childhood and Adolescent Cancers Group, Inserm, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité, Paris, F-94807, France
- Université Paris Descartes, Paris 75270, France
| | - David Martin-Garcia
- Institut d'Investigacions Biomèdiques August Pi iSunyer (IDIBAPS), Hospital Clínic, Barcelona 08036, Spain
| | - Lynn R. Goldin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Guillem Clot
- Institut d'Investigacions Biomèdiques August Pi iSunyer (IDIBAPS), Hospital Clínic, Barcelona 08036, Spain
| | - Lauren R. Teras
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Inés Quintela
- Grupo de Medicina Xenomica, Universidade de Santiago de Compostela, Centro Nacional de Genotipado (CeGen-PRB2-ISCIII), CIBERER, 15782 Santiago de Compostela, Spain
| | - Brenda M. Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Sandrine Jayne
- Ernest and Helen Scott Haematological Research Institute, University of Leicester, Leicester LE2 7LX, UK
| | - Wendy Cozen
- Department of Preventive Medicine, USC Keck School of Medicine, University of Southern California, Los Angeles, California 90033, USA
- Norris Comprehensive Cancer Center, USC Keck School of Medicine, University of Southern California, Los Angeles, California 90033, USA
| | - Aneela Majid
- Ernest and Helen Scott Haematological Research Institute, University of Leicester, Leicester LE2 7LX, UK
| | - Karin E. Smedby
- Unit of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Hematology Center, Karolinsak University Hospital, Stockholm 17176, Sweden
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Claire Dearden
- The Royal Marsden NHS Foundation Trust, London SM2 5PT, UK
| | - Angela R. Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada V5Z1L3
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia V5A1S6, Canada
| | - Andrew G. Hall
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Mark P. Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Tryfonia Mainou-Fowler
- Haematological Sciences, Medical School, Newcastle University, Newcastle-upon-Tyne NE2 4HH, UK
| | - Claire M. Vajdic
- Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Graham H. Jackson
- Department of Haematology, Royal Victoria Infirmary, Newcastle upon Tyne NE1 4LP, UK
| | - Pierluigi Cocco
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Cagliari 09042, Italy
| | - Helen Marr
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut 06520, USA
| | - Tongzhang Zheng
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut 06520, USA
| | - Graham G. Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria 3010, Australia
| | | | - Timothy G. Call
- Division of Hematology, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Mark Liebow
- Department of Medicine, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Mads Melbye
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, 2300 Copenhagen, Denmark
- Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, 75105 Uppsala, Sweden
| | - Larry Mansouri
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, 75105 Uppsala, Sweden
| | - Martha Glenn
- Department of Internal Medicine, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah 84112, USA
| | - Karen Curtin
- Department of Internal Medicine, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah 84112, USA
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Brian K. Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa 52242, USA
| | - Lucia Conde
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
| | - Paige M. Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94118, USA
| | - Elizabeth A. Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94118, USA
| | - Rebecca D. Jackson
- Division of Endocrinology, Diabetes and Metabolism, Ohio State University, Columbus, Ohio 43210, USA
| | - Lesley F. Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98117, USA
| | - Yolanda Benavente
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona 08908, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona 08036, Spain
| | - Paolo Boffetta
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon 69372, France
| | - Marc Maynadie
- 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, Lyon 69372, France
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Zhaoming Wang
- Department of Computational Biology, St Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
| | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Lindsay M. Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Richard K. Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan 48201, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London W2 1PG, UK
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
- Human Genetics Foundation, 10126 Turin, Italy
| | - Roel C. H. Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht 3508 TD, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
| | - Melissa C. Southey
- Genetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Roger L. Milne
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Jacqueline Clavel
- Epidemiology of Childhood and Adolescent Cancers Group, Inserm, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Paris F-94807, France
- Université Paris Descartes, 75270 Paris, France
| | - Sabine Topka
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - John J. Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, British Columbia, Canada V5Z1L3
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada V6T1Z3
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts 02115, USA
| | - Maria Grazia Ennas
- Department of Biomedical Science, University of Cagliari, Monserrato, Cagliari 09042, Italy
| | | | - Giovanni M. Ferri
- Interdisciplinary Department of Medicine, University of Bari, Bari 70124, Italy
| | - Robert J. Harris
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool L69 3BX, UK
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Unit, Cancer Prevention and Research Institute (ISPO), Florence 50139, Italy
| | - Andrew R. Pettitt
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool L69 3BX, UK
| | - Kari E. North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - David J. Allsup
- Queens Centre for Haematology and Oncology, Castle Hill Hospital, Hull and East Yorkshire NHS Trust, Cottingham HU16 5JQ, UK
| | - Joseph F. Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - James R. Bailey
- Queens Centre for Haematology and Oncology, Castle Hill Hospital, Hull and East Yorkshire NHS Trust, Cottingham HU16 5JQ, UK
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Guy Pratt
- Department of Haematology, Birmingham Heartlands Hospital, Birmingham B9 5SS, UK
| | - Henrik Hjalgrim
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, 2300 Copenhagen, Denmark
| | - Chris Pepper
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Chris Fegan
- Cardiff and Vale National Health Service Trust, Heath Park, Cardiff CF14 4XW, UK
| | - Richard Rosenquist
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, 75105 Uppsala, Sweden
| | - Silvia de Sanjose
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
- International Agency for Research on Cancer, Lyon 69372, France
| | - Angel Carracedo
- Grupo de Medicina Xenomica, Universidade de Santiago de Compostela, Centro Nacional de Genotipado (CeGen-PRB2-ISCIII), CIBERER, 15782 Santiago de Compostela, Spain
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah 21589, KSA
| | - Martin J. S. Dyer
- Ernest and Helen Scott Haematological Research Institute, University of Leicester, Leicester LE2 7LX, UK
| | - Daniel Catovsky
- Division of Molecular Pathology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Elias Campo
- Institut d'Investigacions Biomèdiques August Pi iSunyer (IDIBAPS), Hospital Clínic, Barcelona 08036, Spain
- Unitat de Hematología, Hospital Clínic, IDIBAPS, Universitat de Barcelona, Barcelona 08036, Spain
| | - James R. Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - James M. Allan
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Nathanial Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Susan Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
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Law PJ, Sud A, Mitchell JS, Henrion M, Orlando G, Lenive O, Broderick P, Speedy HE, Johnson DC, Kaiser M, Weinhold N, Cooke R, Sunter NJ, Jackson GH, Summerfield G, Harris RJ, Pettitt AR, Allsup DJ, Carmichael J, Bailey JR, Pratt G, Rahman T, Pepper C, Fegan C, von Strandmann EP, Engert A, Försti A, Chen B, Filho MIDS, Thomsen H, Hoffmann P, Noethen MM, Eisele L, Jöckel KH, Allan JM, Swerdlow AJ, Goldschmidt H, Catovsky D, Morgan GJ, Hemminki K, Houlston RS. Genome-wide association analysis of chronic lymphocytic leukaemia, Hodgkin lymphoma and multiple myeloma identifies pleiotropic risk loci. Sci Rep 2017; 7:41071. [PMID: 28112199 PMCID: PMC5253627 DOI: 10.1038/srep41071] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 12/14/2016] [Indexed: 02/08/2023] Open
Abstract
B-cell malignancies (BCM) originate from the same cell of origin, but at different maturation stages and have distinct clinical phenotypes. Although genetic risk variants for individual BCMs have been identified, an agnostic, genome-wide search for shared genetic susceptibility has not been performed. We explored genome-wide association studies of chronic lymphocytic leukaemia (CLL, N = 1,842), Hodgkin lymphoma (HL, N = 1,465) and multiple myeloma (MM, N = 3,790). We identified a novel pleiotropic risk locus at 3q22.2 (NCK1, rs11715604, P = 1.60 × 10-9) with opposing effects between CLL (P = 1.97 × 10-8) and HL (P = 3.31 × 10-3). Eight established non-HLA risk loci showed pleiotropic associations. Within the HLA region, Ser37 + Phe37 in HLA-DRB1 (P = 1.84 × 10-12) was associated with increased CLL and HL risk (P = 4.68 × 10-12), and reduced MM risk (P = 1.12 × 10-2), and Gly70 in HLA-DQB1 (P = 3.15 × 10-10) showed opposing effects between CLL (P = 3.52 × 10-3) and HL (P = 3.41 × 10-9). By integrating eQTL, Hi-C and ChIP-seq data, we show that the pleiotropic risk loci are enriched for B-cell regulatory elements, as well as an over-representation of binding of key B-cell transcription factors. These data identify shared biological pathways influencing the development of CLL, HL and MM. The identification of these risk loci furthers our understanding of the aetiological basis of BCMs.
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Affiliation(s)
- Philip J. Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Jonathan S. Mitchell
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Marc Henrion
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Giulia Orlando
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Oleg Lenive
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Peter Broderick
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Helen E. Speedy
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - David C. Johnson
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Martin Kaiser
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Niels Weinhold
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, USA
| | - Rosie Cooke
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Nicola J. Sunter
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, UK
| | - Graham H. Jackson
- Department of Haematology, Royal Victoria Infirmary, Newcastle upon Tyne, UK
| | - Geoffrey Summerfield
- Department of Haematology, Queen Elizabeth Hospital, Gateshead, Newcastle upon Tyne, UK
| | - Robert J. Harris
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Andrew R. Pettitt
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - David J. Allsup
- Queens Centre for Haematology and Oncology, Castle Hill Hospital, Hull and East Yorkshire NHS Trust, UK
| | - Jonathan Carmichael
- Queens Centre for Haematology and Oncology, Castle Hill Hospital, Hull and East Yorkshire NHS Trust, UK
| | - James R. Bailey
- Queens Centre for Haematology and Oncology, Castle Hill Hospital, Hull and East Yorkshire NHS Trust, UK
| | - Guy Pratt
- Department of Haematology, Birmingham Heartlands Hospital, Birmingham, UK
| | - Thahira Rahman
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, UK
| | - Chris Pepper
- Department of Haematology, School of Medicine, Cardiff University, Cardiff, UK
| | - Chris Fegan
- Cardiff and Vale National Health Service Trust, Heath Park, Cardiff, UK
| | | | - Andreas Engert
- Department of Internal Medicine, University Hospital of Cologne, Cologne, Germany
| | - Asta Försti
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany
- Centre for Primary Health Care Research, Lund University, Malmö, Sweden
| | - Bowang Chen
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | | | - Hauke Thomsen
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, Germany
- Division of Medical Genetics, Department of Biomedicine, University of Basel, Switzerland
| | - Markus M. Noethen
- Institute of Human Genetics, University of Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, Germany
| | | | | | - James M. Allan
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, UK
| | - Anthony J. Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- National Center of Tumor Diseases, Heidelberg, Germany
| | - Daniel Catovsky
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Gareth J. Morgan
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, USA
| | - Kari Hemminki
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany
- Centre for Primary Health Care Research, Lund University, Malmö, Sweden
| | - Richard S. Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
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68
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Kipps TJ, Stevenson FK, Wu CJ, Croce CM, Packham G, Wierda WG, O'Brien S, Gribben J, Rai K. Chronic lymphocytic leukaemia. Nat Rev Dis Primers 2017; 3:16096. [PMID: 28102226 PMCID: PMC5336551 DOI: 10.1038/nrdp.2016.96] [Citation(s) in RCA: 300] [Impact Index Per Article: 42.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Chronic lymphocytic leukaemia (CLL) is a malignancy of CD5+ B cells that is characterized by the accumulation of small, mature-appearing lymphocytes in the blood, marrow and lymphoid tissues. Signalling via surface immunoglobulin, which constitutes the major part of the B cell receptor, and several genetic alterations play a part in CLL pathogenesis, in addition to interactions between CLL cells and other cell types, such as stromal cells, T cells and nurse-like cells in the lymph nodes. The clinical progression of CLL is heterogeneous and ranges from patients who require treatment soon after diagnosis to others who do not require therapy for many years, if at all. Several factors, including the immunoglobulin heavy-chain variable region gene (IGHV) mutational status, genomic changes, patient age and the presence of comorbidities, should be considered when defining the optimal management strategies, which include chemotherapy, chemoimmunotherapy and/or drugs targeting B cell receptor signalling or inhibitors of apoptosis, such as BCL-2. Research on the biology of CLL has profoundly enhanced our ability to identify patients who are at higher risk for disease progression and our capacity to treat patients with drugs that selectively target distinctive phenotypic or physiological features of CLL. How these and other advances have shaped our current understanding and treatment of patients with CLL is the subject of this Primer.
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Affiliation(s)
- Thomas J Kipps
- Division of Hematology-Oncology, Department of Medicine, Moores Cancer Centre, University of California, San Diego, 3855 Health Sciences Drive M/C 0820, La Jolla, California 92093, USA
| | - Freda K Stevenson
- Southampton Cancer Research UK Centre, Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Catherine J Wu
- Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Carlo M Croce
- Department of Molecular Virology, Immunology and Medical Genetics, Ohio State University, Columbus, Ohio, USA
| | - Graham Packham
- Southampton Cancer Research UK Centre, Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - William G Wierda
- Department of Hematology, MD Anderson Cancer Centre, Houston, Texas, USA
| | - Susan O'Brien
- Division of Hematology, Department of Medicine, University of California, Irvine, California, USA
| | - John Gribben
- Department of Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Kanti Rai
- CLL Research and Treatment Program, Feinstein Institute for Medical Research, Northwell Health, New Hyde Park, New York, USA
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69
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Butrym A, Łacina P, Rybka J, Chaszczewska-Markowska M, Mazur G, Bogunia-Kubik K. Cereblon and IRF4 Variants Affect Risk and Response to Treatment in Multiple Myeloma. Arch Immunol Ther Exp (Warsz) 2017; 64:151-156. [PMID: 28083618 PMCID: PMC5334380 DOI: 10.1007/s00005-016-0442-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Accepted: 10/24/2016] [Indexed: 11/27/2022]
Abstract
Multiple myeloma (MM) is a plasma-cell malignancy derived from an early precursor of the B-cell lineage characterised by bone-marrow infiltration, lytic bone lesions, and the presence of a monoclonal protein in serum and/or urine. Interferon regulatory factor 4 (IRF4) is a critical transcriptional regulator in B-cell development and function that is required during immune response for lymphocyte activation and the generation of immunoglobulin-secreting plasma cells. Immunomodulatory drugs, derivatives of thalidomide, are commonly used in therapy against MM. They are known to target a protein called cereblon (CRBN); however, the exact mechanism remains unknown. The present study aimed to assess the association of two (rs12203592 and rs872071) polymorphisms within the IRF4 gene and two (rs711613 and rs1045433) in the CRBN gene with MM susceptibility, progression, and response to treatment. For this purpose, 144 MM patients and 126 healthy individuals were genotyped for the IRF4 and CRBN alleles. The presence of the IRF4 (rs872071) G allele was more frequently detected in patients than healthy individuals (OR 1.78; P = 0.034), and this relationship was especially pronounced in women (OR 2.83; P = 0.012). The CRBN (rs711613) A allele-carriers were better responders to the treatment (P = 0.012), in particular to thalidomide including therapy (P = 0.023). These results underline the prognostic significance of the IRF4 and CRBN polymorphisms in patients with MM.
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Affiliation(s)
- Aleksandra Butrym
- Department of Physiology, Wroclaw Medical University, Wroclaw, Poland
| | - Piotr Łacina
- Laboratory of Clinical Immunogenetics and Pharmacogenetics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Justyna Rybka
- Department of Haematology, Blood Neoplasms and Bone Marrow Transplantation, Wroclaw Medical University, Borowska 213, 50-556, Wroclaw, Poland
| | - Monika Chaszczewska-Markowska
- Laboratory of Clinical Immunogenetics and Pharmacogenetics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Grzegorz Mazur
- Department and Clinic of Internal and Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, Wroclaw, Poland.
| | - Katarzyna Bogunia-Kubik
- Laboratory of Clinical Immunogenetics and Pharmacogenetics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
- Department and Clinic of Internal and Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, Wroclaw, Poland
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70
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Lipid transfer proteins do their thing anchored at membrane contact sites… but what is their thing? Biochem Soc Trans 2016; 44:517-27. [PMID: 27068964 DOI: 10.1042/bst20150275] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Indexed: 02/06/2023]
Abstract
Membrane contact sites are structures where two organelles come close together to regulate flow of material and information between them. One type of inter-organelle communication is lipid exchange, which must occur for membrane maintenance and in response to environmental and cellular stimuli. Soluble lipid transfer proteins have been extensively studied, but additional families of transfer proteins have been identified that are anchored into membranes by transmembrane helices so that they cannot diffuse through the cytosol to deliver lipids. If such proteins target membrane contact sites they may be major players in lipid metabolism. The eukaryotic family of so-called Lipid transfer proteins Anchored at Membrane contact sites (LAMs) all contain both a sterol-specific lipid transfer domain in the StARkin superfamily (related to StART/Bet_v1), and one or more transmembrane helices anchoring them in the endoplasmic reticulum (ER), making them interesting subjects for study in relation to sterol metabolism. They target a variety of membrane contact sites, including newly described contacts between organelles that were already known to make contact by other means. Lam1-4p target punctate ER-plasma membrane contacts. Lam5p and Lam6p target multiple contacts including a new category: vacuolar non-NVJ cytoplasmic ER (VancE) contacts. These developments confirm previous observations on tubular lipid-binding proteins (TULIPs) that established the importance of membrane anchored proteins for lipid traffic. However, the question remaining to be solved is the most difficult of all: are LAMs transporters, or alternately are they regulators that affect traffic more indirectly?
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71
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Kim JA, Hwang B, Park SN, Huh S, Im K, Choi S, Chung HY, Huh J, Seo EJ, Lee JH, Bang D, Lee DS. Genomic Profile of Chronic Lymphocytic Leukemia in Korea Identified by Targeted Sequencing. PLoS One 2016; 11:e0167641. [PMID: 27959900 PMCID: PMC5154520 DOI: 10.1371/journal.pone.0167641] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Accepted: 11/17/2016] [Indexed: 11/17/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL) is extremely rare in Asian countries and there has been one report on genetic changes for 5 genes (TP53, SF3B1, NOTCH1, MYD88, and BIRC3) by Sanger sequencing in Chinese CLL. Yet studies of CLL in Asian countries using Next generation sequencing have not been reported. We aimed to characterize the genomic profiles of Korean CLL and to find out ethnic differences in somatic mutations with prognostic implications. We performed targeted sequencing for 87 gene panel using next-generation sequencing along with G-banding and fluorescent in situ hybridization (FISH) for chromosome 12, 13q14.3 deletion, 17p13 deletion, and 11q22 deletion. Overall, 36 out of 48 patients (75%) harbored at least one mutation and mean number of mutation per patient was 1.6 (range 0-6). Aberrant karyotypes were observed in 30.4% by G-banding and 66.7% by FISH. Most recurrent mutation (>10% frequency) was ATM (20.8%) followed by TP53 (14.6%), SF3B1 (10.4%), KLHL6 (8.3%), and BCOR (6.25%). Mutations of MYD88 was associated with moderate adverse prognosis by multiple comparisons (P = 0.055). Mutation frequencies of MYD88, SAMHD1, EGR2, DDX3X, ZMYM3, and MED12 showed similar incidence with Caucasians, while mutation frequencies of ATM, TP53, KLHL6, BCOR and CDKN2A tend to be higher in Koreans than in Caucasians. Especially, ATM mutation showed 1.5 fold higher incidence than Caucasians, while mutation frequencies of SF3B1, NOTCH1, CHD2 and POT1 tend to be lower in Koreans than in Caucasians. However, mutation frequencies between Caucasians and Koreans were not significantly different statistically, probably due to low number of patients. Collectively, mutational profile and adverse prognostic genes in Korean CLL were different from those of Caucasians, suggesting an ethnic difference, while profile of cytogenetic aberrations was similar to those of Caucasians.
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Affiliation(s)
- Jung-Ah Kim
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Byungjin Hwang
- Department of Chemistry, Yonsei University, Seoul, Korea
| | - Si Nae Park
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Sunghoon Huh
- Department of Chemistry, Yonsei University, Seoul, Korea
| | - Kyongok Im
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Sungbin Choi
- Bachelor of Science, University of British Columbia, Vancouver, Canada
| | - Hye Yoon Chung
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - JooRyung Huh
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Eul-Ju Seo
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Je-Hwan Lee
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Duhee Bang
- Department of Chemistry, Yonsei University, Seoul, Korea
| | - Dong Soon Lee
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
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72
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Kandaswamy R, Sava GP, Speedy HE, Beà S, Martín-Subero JI, Studd JB, Migliorini G, Law PJ, Puente XS, Martín-García D, Salaverria I, Gutiérrez-Abril J, López-Otín C, Catovsky D, Allan JM, Campo E, Houlston RS. Genetic Predisposition to Chronic Lymphocytic Leukemia Is Mediated by a BMF Super-Enhancer Polymorphism. Cell Rep 2016; 16:2061-2067. [PMID: 27524613 PMCID: PMC4999417 DOI: 10.1016/j.celrep.2016.07.053] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Revised: 06/14/2016] [Accepted: 07/20/2016] [Indexed: 12/26/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL) is an adult B cell malignancy. Genome-wide association studies show that variation at 15q15.1 influences CLL risk. We deciphered the causal variant at 15q15.1 and the mechanism by which it influences tumorigenesis. We imputed all possible genotypes across the locus and then mapped highly associated SNPs to areas of chromatin accessibility, evolutionary conservation, and transcription factor binding. SNP rs539846 C>A, the most highly associated variant (p = 1.42 × 10(-13), odds ratio = 1.35), localizes to a super-enhancer defined by extensive histone H3 lysine 27 acetylation in intron 3 of B cell lymphoma 2 (BCL2)-modifying factor (BMF). The rs539846-A risk allele alters a conserved RELA-binding motif, disrupts RELA binding, and is associated with decreased BMF expression in CLL. These findings are consistent with rs539846 influencing CLL susceptibility through differential RELA binding, with direct modulation of BMF expression impacting on anti-apoptotic BCL2, a hallmark of oncogenic dependency in CLL.
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MESH Headings
- Adaptor Proteins, Signal Transducing/genetics
- Adaptor Proteins, Signal Transducing/metabolism
- Alleles
- B-Lymphocytes/metabolism
- B-Lymphocytes/pathology
- Binding Sites
- Cell Line, Tumor
- Chromatin/chemistry
- Chromatin/metabolism
- Chromosome Mapping
- Chromosomes, Human, Pair 15
- Enhancer Elements, Genetic
- Genetic Loci
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Histones/genetics
- Histones/metabolism
- Humans
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/metabolism
- Leukemia, Lymphocytic, Chronic, B-Cell/pathology
- Odds Ratio
- Polymorphism, Single Nucleotide
- Protein Binding
- Proto-Oncogene Proteins c-bcl-2/genetics
- Proto-Oncogene Proteins c-bcl-2/metabolism
- Risk
- Transcription Factor RelA/genetics
- Transcription Factor RelA/metabolism
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Affiliation(s)
- Radhika Kandaswamy
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Georgina P Sava
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Helen E Speedy
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Sílvia Beà
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - José I Martín-Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain; Departament d'Anatomía Patològica, Microbiología i Farmacología, Universitat de Barcelona, 08036 Barcelona, Spain
| | - James B Studd
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Gabriele Migliorini
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Philip J Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK
| | - Xose S Puente
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, 33006 Oviedo, Spain
| | - David Martín-García
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Itziar Salaverria
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Jesús Gutiérrez-Abril
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, 33006 Oviedo, Spain
| | - Carlos López-Otín
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, 33006 Oviedo, Spain
| | - Daniel Catovsky
- Division of Molecular Pathology, The Institute of Cancer Research, London SW7 3RP, UK
| | - James M Allan
- Newcastle Cancer Centre, Northern Institute for Cancer Research, Medical School, Newcastle University, Newcastle-upon-Tyne NE2 4HH, UK
| | - Elías Campo
- Unitat de Hematología, Hospital Clínic, IDIBAPS, Universitat de Barcelona, 08036 Barcelona, Spain
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SW7 3RP, UK; Division of Molecular Pathology, The Institute of Cancer Research, London SW7 3RP, UK.
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73
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Germ line mutations in shelterin complex genes are associated with familial chronic lymphocytic leukemia. Blood 2016; 128:2319-2326. [PMID: 27528712 DOI: 10.1182/blood-2016-01-695692] [Citation(s) in RCA: 82] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Accepted: 08/08/2016] [Indexed: 12/30/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL) can be familial; however, thus far no rare germ line disruptive alleles for CLL have been identified. We performed whole-exome sequencing of 66 CLL families, identifying 4 families where loss-of-function mutations in protection of telomeres 1 (POT1) co-segregated with CLL. The p.Tyr36Cys mutation is predicted to disrupt the interaction between POT1 and the telomeric overhang. The c.1164-1G>A splice-site, p.Gln358SerfsTer13 frameshift, and p.Gln376Arg missense mutations are likely to impact the interaction between POT1 and adrenocortical dysplasia homolog (ACD), which is a part of the telomere-capping shelterin complex. We also identified mutations in ACD (c.752-2A>C) and another shelterin component, telomeric repeat binding factor 2, interacting protein (p.Ala104Pro and p.Arg133Gln), in 3 CLL families. In a complementary analysis of 1083 cases and 5854 controls, the POT1 p.Gln376Arg variant, which has a global minor allele frequency of 0.0005, conferred a 3.61-fold increased risk of CLL (P = .009). This study further highlights telomere dysregulation as a key process in CLL development.
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74
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Wood CD, Veenstra H, Khasnis S, Gunnell A, Webb HM, Shannon-Lowe C, Andrews S, Osborne CS, West MJ. MYC activation and BCL2L11 silencing by a tumour virus through the large-scale reconfiguration of enhancer-promoter hubs. eLife 2016; 5:e18270. [PMID: 27490482 PMCID: PMC5005034 DOI: 10.7554/elife.18270] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2016] [Accepted: 08/03/2016] [Indexed: 12/11/2022] Open
Abstract
Lymphomagenesis in the presence of deregulated MYC requires suppression of MYC-driven apoptosis, often through downregulation of the pro-apoptotic BCL2L11 gene (Bim). Transcription factors (EBNAs) encoded by the lymphoma-associated Epstein-Barr virus (EBV) activate MYC and silence BCL2L11. We show that the EBNA2 transactivator activates multiple MYC enhancers and reconfigures the MYC locus to increase upstream and decrease downstream enhancer-promoter interactions. EBNA2 recruits the BRG1 ATPase of the SWI/SNF remodeller to MYC enhancers and BRG1 is required for enhancer-promoter interactions in EBV-infected cells. At BCL2L11, we identify a haematopoietic enhancer hub that is inactivated by the EBV repressors EBNA3A and EBNA3C through recruitment of the H3K27 methyltransferase EZH2. Reversal of enhancer inactivation using an EZH2 inhibitor upregulates BCL2L11 and induces apoptosis. EBV therefore drives lymphomagenesis by hijacking long-range enhancer hubs and specific cellular co-factors. EBV-driven MYC enhancer activation may contribute to the genesis and localisation of MYC-Immunoglobulin translocation breakpoints in Burkitt's lymphoma.
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Affiliation(s)
- C David Wood
- School of Life Sciences, University of Sussex, Brighton, United Kingdom
| | | | - Sarika Khasnis
- School of Life Sciences, University of Sussex, Brighton, United Kingdom
| | - Andrea Gunnell
- School of Life Sciences, University of Sussex, Brighton, United Kingdom
| | - Helen M Webb
- School of Life Sciences, University of Sussex, Brighton, United Kingdom
| | - Claire Shannon-Lowe
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Simon Andrews
- Bioinformatics Group, Babraham Institute, Cambridge, United Kingdom
| | - Cameron S Osborne
- Department of Genetics and Molecular Medicine, King's College London School of Medicine, Guy's Hospital, London, United Kingdom
| | - Michelle J West
- School of Life Sciences, University of Sussex, Brighton, United Kingdom
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75
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Scarfò L, Ferreri AJM, Ghia P. Chronic lymphocytic leukaemia. Crit Rev Oncol Hematol 2016; 104:169-82. [PMID: 27370174 DOI: 10.1016/j.critrevonc.2016.06.003] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2015] [Revised: 05/01/2016] [Accepted: 06/14/2016] [Indexed: 01/11/2023] Open
Abstract
Chronic lymphocytic leukaemia (CLL) is the most common leukaemia among the adults in the Western World. CLL (and the corresponding nodal entity small lymphocytic lymphoma, SLL) is classified as a lymphoproliferative disorder characterised by the relentless accumulation of mature B-lymphocytes showing a peculiar immunophenotype in the peripheral blood, bone marrow, lymph nodes and spleen. CLL clinical course is very heterogeneous: the majority of patients follow an indolent clinical course with no or delayed treatment need and with a prolonged survival, while others experience aggressive disease requiring early treatment followed by frequent relapses. In the last decade, the improved understanding of CLL pathogenesis shed light on premalignant conditions (i.e., monoclonal B-cell lymphocytosis, MBL), defined new prognostic and predictive markers, improving patient stratification, but also broadened the therapeutic armamentarium with novel agents, targeting fundamental signaling pathways.
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Affiliation(s)
- Lydia Scarfò
- Department of Onco-Haematology, Division of Experimental Oncology, IRCCS San Raffaele Hospital, Milan, Italy; University Vita-Salute San Raffaele, Milan, Italy
| | - Andrés J M Ferreri
- Department of Onco-Haematology, Division of Experimental Oncology, IRCCS San Raffaele Hospital, Milan, Italy.
| | - Paolo Ghia
- Department of Onco-Haematology, Division of Experimental Oncology, IRCCS San Raffaele Hospital, Milan, Italy; University Vita-Salute San Raffaele, Milan, Italy
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76
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Zhang X, Zhao D, Xiong X, He Z, Li H. Multifaceted Histone H3 Methylation and Phosphorylation Readout by the Plant Homeodomain Finger of Human Nuclear Antigen Sp100C. J Biol Chem 2016; 291:12786-12798. [PMID: 27129259 PMCID: PMC4933467 DOI: 10.1074/jbc.m116.721159] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2016] [Revised: 04/06/2016] [Indexed: 02/05/2023] Open
Abstract
The decoding of histone post-translational modifications by chromatin-binding modules ("readers") constitutes one major mechanism of epigenetic regulation. Nuclear antigen Sp100 (SPECKLED, 100 kDa), a constitutive component of the promyelocytic leukemia nuclear bodies, plays key roles in intrinsic immunity and transcriptional repression. Sp100C, a splicing isoform specifically up-regulated upon interferon stimulation, harbors a unique tandem plant homeodomain (PHD) finger and bromodomain at its C terminus. Combining structural, quantitative binding, and cellular co-localization studies, we characterized Sp100C PHD finger as an unmethylated histone H3 Lys(4) (H3K4me0) reader that tolerates histone H3 Thr(3) phosphorylation (H3T3ph), histone H3 Lys(9) trimethylation (H3K9me3), and histone H3 Ser(10) phosphorylation (H3S10ph), hallmarks associated with the mitotic chromosome. In contrast, whereas H3K4me0 reader activity is conserved in Sp140, an Sp100C paralog, the multivalent tolerance of H3T3ph, H3K9me3, and H3S10ph was lost for Sp140. The complex structure determined at 2.1 Å revealed a highly coordinated lysine ϵ-amine recognition sphere formed by an extended N-terminal motif for H3K4me0 readout. Interestingly, reader pocket rigidification by disulfide bond formation enhanced H3K4me0 binding by Sp100C. An additional complex structure solved at 2.7 Å revealed that H3T3ph is recognized by the arginine residue, Arg(713), that is unique to the PHD finger of Sp100C. Consistent with a restrictive cellular role of Sp100C, these results establish a direct chromatin targeting function of Sp100C that may regulate transcriptional gene silencing and promyelocytic leukemia nuclear body-mediated intrinsic immunity in response to interferon stimulation.
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Affiliation(s)
- Xiaojie Zhang
- From the Ministry of Education Key Laboratory of Protein Sciences, Beijing Advanced Innovation Center for Structural Biology, Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084 and
| | - Dan Zhao
- From the Ministry of Education Key Laboratory of Protein Sciences, Beijing Advanced Innovation Center for Structural Biology, Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084 and
| | - Xiaozhe Xiong
- From the Ministry of Education Key Laboratory of Protein Sciences, Beijing Advanced Innovation Center for Structural Biology, Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084 and
| | - Zhimin He
- From the Ministry of Education Key Laboratory of Protein Sciences, Beijing Advanced Innovation Center for Structural Biology, Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084 and
| | - Haitao Li
- From the Ministry of Education Key Laboratory of Protein Sciences, Beijing Advanced Innovation Center for Structural Biology, Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084 and; the Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China.
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77
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Niavarani A, Horswell S, Sadri R, Bonnet D. The Wilms Tumor-1 (WT1) rs2234593 variant is a prognostic factor in normal karyotype acute myeloid leukemia. Ann Hematol 2016; 95:179-90. [PMID: 26499507 DOI: 10.1007/s00277-015-2534-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 10/15/2015] [Indexed: 05/28/2023]
Abstract
The single-nucleotide polymorphism (SNP) within Wilms tumor-1 (WT1) exon 7, rs16754, has been arguably reported to be implicated in acute myeloid leukemia (AML) prognosis. We assessed the potential association of selected WT1 SNPs as well as WT1 mutations in normal karyotype (NK)-AML and evaluated the prognostic value of these normal gene variants. Diagnostic samples from a series of 474 young adult NK-AML patients were used to genotype five WT1 SNPs using TaqMan assays and to directly sequence WT1 exons 7 and 9. Analysis of five WT1 gene variants showed an association of rs2234593 allele C with WT1 Ex7 mutation. Prognostic study of the same variants identified rs2234593 significantly associated with relapse and overall survival (OS). Patients with rs2234593AA/AC showed significantly higher 10-year OS (50 vs 36 %, hazard ratio (HR) = 0.69 (0.52–0.90), p = 0.006) and lower cumulative incidence of relapse (CIR) (36 vs 51 %, HR = 0.62 (0.45–0.86), p = 0.004) compared to those with rs2234593CC. The effect of AA genotype on CIR remained significant after adjustment for basic covariates including FLT3 internal-tandem duplication (FLT3-ITD) and nucleophosmin 1 (NPM1) mutations (HR = 0.60 (0.41–0.89), p = 0.009), with some evidence of improved survival (HR = 0.75 (0.55–1.03), p = 0.07). A multivariate analysis showed WT1 Ex7-mutant as the major relapse predictor, with a tendency for rs2234593-A effect after allowing for Ex7 mutation (p = 0.07). No adjusted risk benefit was found for previously reported rs16754-G. In conclusion, WT1 normal gene variant rs2234593 is associated with mutational status of WT1 Ex7 and is a further prognostic marker independent from FLT3-ITD and NPM1 mutations in NK-AML.
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78
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Nor Hashim NA, Ramzi NH, Velapasamy S, Alex L, Chahil JK, Lye SH, Munretnam K, Haron MR, Ler LW. Identification of genetic and non-genetic risk factors for nasopharyngeal carcinoma in a Southeast Asian population. Asian Pac J Cancer Prev 2016; 13:6005-10. [PMID: 23464394 DOI: 10.7314/apjcp.2012.13.12.6005] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Nasopharyngeal carcinoma (NPC) is endemic in Southern Chinese and Southeast Asian populations. Geographical and ethnic clustering of the cancer is due to genetic, environmental, and lifestyle risk factors. This case-control study aimed to identify or confirm both genetic and non-genetic risk factors for NPC in one of the endemic countries, Malaysia. MATERIALS AND METHOD A panel of 768 single-nucleotide polymorphisms (SNPs) previously associated with various cancers and known non-genetic risk factors for NPC were selected and analyzed for their associations with NPC in a case-control study. RESULTS Statistical analysis identified 40 SNPs associated with NPC risk in our population, including 5 documented previously by genome-wide association studies (GWAS) and other case-control studies; the associations of the remaining 35 SNPs with NPC were novel. In addition, consistent with previous studies, exposure to occupational hazards, overconsumption of salt-cured foods, red meat, as well as low intake of fruits and vegetables were also associated with NPC risk. CONCLUSIONS In short, this study confirmed and/or identified genetic, environmental and dietary risk factors associated with NPC susceptibility in a Southeast Asian population.
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Affiliation(s)
- Nikman Adli Nor Hashim
- Molecular Research and Services Laboratory, INFOVALLEY® Life Sciences Sdn. Mines Resort City, Selangor, Malaysia.
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79
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Tian X, Dai S, Sun J, Jiang S, Jiang Y. Association between TP53 Arg72Pro polymorphism and leukemia risk: a meta-analysis of 14 case-control studies. Sci Rep 2016; 6:24097. [PMID: 27053289 PMCID: PMC4823650 DOI: 10.1038/srep24097] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Accepted: 03/21/2016] [Indexed: 02/05/2023] Open
Abstract
The relationship between the TP53 Arg72Pro polymorphism (rs1042522) and the risk of leukemia remains controversial. Consequently, we performed a meta-analysis to accurately evaluate the association between TP53 Arg72Pro polymorphism and leukemia risk. A comprehensive search was conducted to find all eligible studies of TP53 Arg72Pro polymorphism and leukemia risk. Fourteen case-control studies, with 2,506 cases and 4,386 controls, were selected for analysis. The overall data failed to indicate a significant association between TP53 Arg72Pro polymorphism and the risk of leukemia (C vs. G: OR = 1.09, 95% CI = 0.93–1.26; CC vs. GC + GG: OR = 1.23, 95% CI = 0.96–1.57). In a subgroup analysis of clinical types, an increased risk was observed in the acute lymphocytic leukemia (ALL) subgroup (CC vs. GC + GG: OR = 1.73; 95% CI = 1.07–2.81) but not in the acute myeloid leukemia (AML) subgroup. In the subgroup analysis, no significant associations with ethnicity and the source of the controls were observed. In conclusion, the results suggest that there is no association between TP53 Arg72Pro polymorphism and the risk of leukemia, but the CC genotype may increase the risk of ALL TP53 Arg72Pro polymorphism CC genotype may increase the risk of ALL but is not associated with AML. Further large-scale, well-designed studies are needed to confirm our results.
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Affiliation(s)
- Xin Tian
- Molecular Oncology Laboratory of Cancer Research Institute, the First Affiliated Hospital of China Medical University, Shenyang, 110001, P.R. China
| | - Shundong Dai
- Department of Pathology, the First Affiliated Hospital and College of Basic Medical Sciences of China Medical University, Shenyang, 110001, P.R. China.,Institute of Pathology and Pathophysiology, Shenyang, 110001, P.R. China
| | - Jing Sun
- Department of Immunology and Biotherapy, Liaoning Cancer Hospital and Institute, Shenyang, 110042, P.R. China
| | - Shenyi Jiang
- Department of Rheumatology, the First Affiliated Hospital of China Medical University, Shenyang, 110001, P.R. China
| | - Youhong Jiang
- Molecular Oncology Laboratory of Cancer Research Institute, the First Affiliated Hospital of China Medical University, Shenyang, 110001, P.R. China
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80
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Berndt SI, Camp NJ, Skibola CF, Vijai J, Wang Z, Gu J, Nieters A, Kelly RS, Smedby KE, Monnereau A, Cozen W, Cox A, Wang SS, Lan Q, Teras LR, Machado M, Yeager M, Brooks-Wilson AR, Hartge P, Purdue MP, Birmann BM, Vajdic CM, Cocco P, Zhang Y, Giles GG, Zeleniuch-Jacquotte A, Lawrence C, Montalvan R, Burdett L, Hutchinson A, Ye Y, Call TG, Shanafelt TD, Novak AJ, Kay NE, Liebow M, Cunningham JM, Allmer C, Hjalgrim H, Adami HO, Melbye M, Glimelius B, Chang ET, Glenn M, Curtin K, Cannon-Albright LA, Diver WR, Link BK, Weiner GJ, Conde L, Bracci PM, Riby J, Arnett DK, Zhi D, Leach JM, Holly EA, Jackson RD, Tinker LF, Benavente Y, Sala N, Casabonne D, Becker N, Boffetta P, Brennan P, Foretova L, Maynadie M, McKay J, Staines A, Chaffee KG, Achenbach SJ, Vachon CM, Goldin LR, Strom SS, Leis JF, Weinberg JB, Caporaso NE, Norman AD, De Roos AJ, Morton LM, Severson RK, Riboli E, Vineis P, Kaaks R, Masala G, Weiderpass E, Chirlaque MD, Vermeulen RCH, Travis RC, Southey MC, Milne RL, Albanes D, Virtamo J, Weinstein S, Clavel J, Zheng T, Holford TR, Villano DJ, Maria A, Spinelli JJ, Gascoyne RD, Connors JM, Bertrand KA, Giovannucci E, Kraft P, Kricker A, Turner J, Ennas MG, Ferri GM, Miligi L, Liang L, Ma B, Huang J, Crouch S, Park JH, Chatterjee N, North KE, Snowden JA, Wright J, Fraumeni JF, Offit K, Wu X, de Sanjose S, Cerhan JR, Chanock SJ, Rothman N, Slager SL. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia. Nat Commun 2016; 7:10933. [PMID: 26956414 PMCID: PMC4786871 DOI: 10.1038/ncomms10933] [Citation(s) in RCA: 81] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Accepted: 02/03/2016] [Indexed: 01/07/2023] Open
Abstract
Chronic lymphocytic leukemia (CLL) is a common lymphoid malignancy with strong heritability. To further understand the genetic susceptibility for CLL and identify common loci associated with risk, we conducted a meta-analysis of four genome-wide association studies (GWAS) composed of 3,100 cases and 7,667 controls with follow-up replication in 1,958 cases and 5,530 controls. Here we report three new loci at 3p24.1 (rs9880772, EOMES, P=2.55 × 10(-11)), 6p25.2 (rs73718779, SERPINB6, P=1.97 × 10(-8)) and 3q28 (rs9815073, LPP, P=3.62 × 10(-8)), as well as a new independent SNP at the known 2q13 locus (rs9308731, BCL2L11, P=1.00 × 10(-11)) in the combined analysis. We find suggestive evidence (P<5 × 10(-7)) for two additional new loci at 4q24 (rs10028805, BANK1, P=7.19 × 10(-8)) and 3p22.2 (rs1274963, CSRNP1, P=2.12 × 10(-7)). Pathway analyses of new and known CLL loci consistently show a strong role for apoptosis, providing further evidence for the importance of this biological pathway in CLL susceptibility.
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Affiliation(s)
- Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Nicola J. Camp
- Division of Hematology and Hematologic Malignancies, Department of Internal Medicine, Huntsman Cancer Institute and University of Utah School of Medicine, Salt Lake City, Utah 84112, USA
| | - Christine F. Skibola
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California 94720, USA
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Zhaoming Wang
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland 20877, USA
| | - Jian Gu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Alexandra Nieters
- Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, 79108 Baden-Württemberg, Germany
| | - Rachel S. Kelly
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Karin E. Smedby
- Department of Medicine, Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm 17176, Sweden
| | - Alain Monnereau
- Epidemiology of Childhood and Adolescent Cancers Group, INSERM, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), F-94807 Paris, France
- Université Paris Descartes, 75270 Paris, France
- Registre des hémopathies malignes de la Gironde, Institut Bergonié, 33076 Bordeaux Cedex, France
| | - Wendy Cozen
- Department of Preventive Medicine, USC Keck School of Medicine, University of Southern California, Los Angeles, California 90033, USA
- Norris Comprehensive Cancer Center, USC Keck School of Medicine, University of Southern California, Los Angeles, California 90033, USA
| | - Angela Cox
- Department of Oncology, University of Sheffield, Sheffield, South Yorkshire S10 1NS, UK
| | - Sophia S. Wang
- Division of Cancer Etiology, City of Hope Beckman Research Institute, Duarte, California 91030, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Lauren R. Teras
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Moara Machado
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
- Departamento de Biologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland 20877, USA
| | - Angela R. Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada V5Z1L3
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada V5A1S6
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | | | - Brenda M. Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Claire M. Vajdic
- Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Pierluigi Cocco
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, 09042 Cagliari, Italy
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut 06520, USA
| | - Graham G. Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, New York, New York 10016, USA
- Department of Environmental Medicine, New York University School of Medicine, New York, New York 10016, USA
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, New York 10016, USA
| | | | | | - Laurie Burdett
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland 20877, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland 20877, USA
| | - Yuanqing Ye
- Department of Epidemiology, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Timothy G. Call
- Division of Hematology, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Tait D. Shanafelt
- Department of Medicine, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Anne J. Novak
- Department of Medicine, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Neil E. Kay
- Division of Hematology, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Mark Liebow
- Department of Medicine, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Julie M. Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Cristine Allmer
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Henrik Hjalgrim
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, 2300 Copenhagen, Denmark
| | - Hans-Olov Adami
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Mads Melbye
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, 2300 Copenhagen, Denmark
- Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Uppsala University, 75105 Uppsala, Sweden
| | - Ellen T. Chang
- Center for Epidemiology and Computational Biology, Health Sciences, Exponent, Inc., Menlo Park, California 94025, USA
- Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Martha Glenn
- Department of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, Utah 84112, USA
| | - Karen Curtin
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah 84108, USA
| | - Lisa A. Cannon-Albright
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah 84108, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah 84148, USA
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia 30303, USA
| | - Brian K. Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa 52242, USA
| | - George J. Weiner
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa 52242, USA
| | - Lucia Conde
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California 94720, USA
| | - Paige M. Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94118, USA
| | - Jacques Riby
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California 94720, USA
| | - Donna K. Arnett
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
| | - Degui Zhi
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
| | - Justin M. Leach
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
| | - Elizabeth A. Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94118, USA
| | - Rebecca D. Jackson
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, Ohio 43210, USA
| | - Lesley F. Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98117, USA
| | - Yolanda Benavente
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona 08908, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), 08036 Barcelona, Spain
| | - Núria Sala
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain
- Translational Research Laboratory, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain
| | - Delphine Casabonne
- Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, 08908L'Hospitalet de Llobregat, 08908 Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, 69120 Baden-Württemberg, Germany
| | - Paolo Boffetta
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Paul Brennan
- International Agency for Research on Cancer (IARC), 69372 Lyon, France
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute and MF MU, 656 53 Brno, Czech Republic
| | - Marc Maynadie
- EA 4184, Registre des Hémopathies Malignes de Côte d'Or, University of Burgundy and Dijon University Hospital, 21070 Dijon, France
| | - James McKay
- International Agency for Research on Cancer (IARC), 69372 Lyon, France
| | - Anthony Staines
- School of Nursing and Human Sciences, Dublin City University, Dublin 9, Ireland
| | - Kari G. Chaffee
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Sara J. Achenbach
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Celine M. Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Lynn R. Goldin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Sara S. Strom
- Department of Epidemiology, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Jose F. Leis
- Division of Hematology/Oncology, Mayo Clinic, Phoenix, Arizona 85054, USA
| | - J. Brice Weinberg
- Department of Medicine, Duke University and VA Medical Centers, Durham, North Carolina 27710, USA
| | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Aaron D. Norman
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Anneclaire J. De Roos
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98117, USA
- Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, Pennsylvania 19104, USA
| | - Lindsay M. Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Richard K. Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan 48201, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London W2 1PG, UK
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
- Human Genetics Foundation, 10126 Turin, Italy
| | - Rudolph Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, 69120 Baden-Württemberg, Germany
| | - Giovanna Masala
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), 50139 Florence, Italy
| | - Elisabete Weiderpass
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, N-9037 Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, N-0304 Oslo, Norway
- Genetic Epidemiology Group, Folkhälsan Research Center, FI-00250 Helsinki, Finland
| | - María- Dolores Chirlaque
- CIBER de Epidemiología y Salud Pública (CIBERESP), 08036 Barcelona, Spain
- Department of Epidemiology, Murcia Regional Health Authority, E30008 Murcia, Spain
| | - Roel C. H. Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, 3508, TD, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Ruth C. Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford OX3 7LF, UK
| | - Melissa C. Southey
- Genetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Roger L. Milne
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Jarmo Virtamo
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, FI-00271 Helsinki, Finland
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Jacqueline Clavel
- Epidemiology of Childhood and Adolescent Cancers Group, INSERM, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), F-94807 Paris, France
- Université Paris Descartes, 75270 Paris, France
| | - Tongzhang Zheng
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut 06520, USA
| | - Theodore R. Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut 06520, USA
| | - Danylo J. Villano
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Ann Maria
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - John J. Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, British Columbia, Canada V5Z1L3
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada V6T1Z3
| | - Randy D. Gascoyne
- Center for Lymphoid Cancer, BC Cancer Agency, Vancouver, British Columbia, Canada V5Z1L3
- Department of Pathology, University of British Columbia, Vancouver, British Columbia, Canada V6T1Z3
| | - Joseph M. Connors
- Center for Lymphoid Cancer, BC Cancer Agency, Vancouver, British Columbia, Canada V5Z1L3
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada V6T1Z3
| | - Kimberly A. Bertrand
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Edward Giovannucci
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Anne Kricker
- Sydney School of Public Health, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Jenny Turner
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales 2109, Australia
- Department of Histopathology, Douglass Hanly Moir Pathology, Sydney, New South Wales 2113, Australia
| | - Maria Grazia Ennas
- Department of Biomedical Science, University of Cagliari, Monserrato, 09042 Cagliari, Italy
| | - Giovanni M. Ferri
- Interdisciplinary Department of Medicine, University of Bari, 70124 Bari, Italy
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Unit, Cancer Prevention and Research Institute (ISPO), 50139 Florence, Italy
| | - Liming Liang
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Baoshan Ma
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning Province 116026, China
| | - Jinyan Huang
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA
| | - Simon Crouch
- Department of Health Sciences, University of York, York YO10 5DD, UK
| | - Ju-Hyun Park
- Department of Statistics, Dongguk University, Seoul 100-715, Republic of Korea
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Kari E. North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - John A. Snowden
- Department of Oncology, University of Sheffield, Sheffield, South Yorkshire S10 1NS, UK
- Department of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield, South Yorkshire S10 2TN, UK
| | - Josh Wright
- Department of Oncology, University of Sheffield, Sheffield, South Yorkshire S10 1NS, UK
- Department of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield, South Yorkshire S10 2TN, UK
| | - Joseph F. Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Xifeng Wu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Silvia de Sanjose
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona 08908, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), 08036 Barcelona, Spain
| | - James R. Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Susan L. Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
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81
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Wu Z, Sun Y, Zhu S, Tang S, Liu C, Qin W. Association of Interferon Gamma +874T/A Polymorphism and Leukemia Risk: A Meta-Analysis. Medicine (Baltimore) 2016; 95:e3129. [PMID: 27015189 PMCID: PMC4998384 DOI: 10.1097/md.0000000000003129] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Interferon gamma (IFN-γ) has antitumor and antiproliferative effects, and previous studies indicated IFN-γ +874T/A (rs2430561) polymorphism were related to the risk of many types of cancer. However, the association between IFN-γ +874T/A polymorphism and leukemia risk remained controversial.We performed a comprehensive meta-analysis based on the Preferred Reporting Items for Systematic Reviews and Meta-analyses statement (PRISMA). Electronic database of Embase, Pubmed, and the Cochrane Library were searched for eligible articles published up to December 13, 2015. The association between genetic polymorphisms and leukemia risk was measured by odds ratios (ORs) and its corresponding 95% confidence intervals (CIs).A total of 8 studies amounting to 420 patients and 767 control subjects were retrieved for this study. Although associations between IFN-γ +874T/A polymorphism and overall leukemia risks were lacking, decreased chronic lymphocytic leukemia (CLL) risk was detected in the allelic model (T vs A, OR=0.660, 95%CI = 0.483-0.902, P = 0.009, I = 0.0% and P = 0.863 for heterogeneity), the codominant model (TT vs AA, OR = 0.472, 95%CI = 0.247-0.902, P = 0.023, I = 0.0% and P = 0.994 for heterogeneity), and dominant model (TT + TA vs AA, OR = 0.457, 95%CI = 0.285-0.734, P = 0.001, I = 40.3% and P = 0.195 for heterogeneity) by using fixed-effect model separately. On the contrary, results indicated T carries have an increased chronic myelogenous leukemia (CML) risk in dominant model (TT + TA vs AA, OR = 1.783, 95%CI = 1.236-2.573, P = 0.002, I = 19.0% and P = 0.295 for heterogeneity).This study suggests IFN-γ +874T/A polymorphism are related to CML and CLL risk. In addition, our work also points out IFN-γ +874T/A polymorphism may play dual contrasting role in leukemia risk.
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Affiliation(s)
- Zhitong Wu
- From the Department of Clinical Laboratory (ZW, WQ), Guigang City People's Hospital, Guigang; and Department of Clinical Laboratory (YS, SZ, ST, CL), Liuzhou Hospital of Traditional Chinese Medicine, Liuzhou, Guangxi, China
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82
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Abstract
Recent investigations have provided an increasingly complete picture of the genetic landscape of chronic lymphocytic leukaemia (CLL). These analyses revealed that the CLL genome displays a high degree of heterogeneity between patients and within the same patient. In addition, they highlighted molecular mechanisms and functionally relevant biological programmes that may be important for the pathogenesis and therapeutic targeting of this disease. This Review focuses on recent insights into the understanding of CLL biology, with emphasis on the role of genetic lesions in the initiation and clinical progression of CLL. We also consider the translation of these findings into the development of risk-adapted and targeted therapeutic approaches.
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Affiliation(s)
- Giulia Fabbri
- Institute for Cancer Genetics, Columbia University, New York, New York 10032, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, New York 10032, USA
| | - Riccardo Dalla-Favera
- Institute for Cancer Genetics, Columbia University, New York, New York 10032, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, New York 10032, USA
- Department of Pathology and Cell Biology and New York, New York 10032, USA
- Departments of Genetics and Development and Microbiology and Immunology, Columbia University, New York, New York 10032, USA
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83
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Frenzel LP, Reinhardt HC, Pallasch CP. Concepts of Chronic Lymphocytic Leukemia Pathogenesis: DNA Damage Response and Tumor Microenvironment. Oncol Res Treat 2016; 39:9-16. [PMID: 26889681 DOI: 10.1159/000443820] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Accepted: 01/07/2016] [Indexed: 11/19/2022]
Abstract
Pathogenesis of chronic lymphocytic leukemia (CLL) is characterized by specific genetic aberrations and alterations of cellular signaling pathways. In particular, a disturbed DNA damage response (DDR) and an activated B-cell receptor signaling pathway play a major role in promoting CLL cell survival. External stimuli are similarly essential for CLL cell survival and lead to activation of the PI3K/AKT and MAPK pathways. Activation of nuclear factor-kappa B (NFkB) influences the disturbed anti-apoptotic balance of CLL cells. Losses or disabling mutations in TP53 and ATM are frequent events in chemotherapy-naïve patients and are further enriched in chemotherapy-resistant patients. As these lesions define key regulatory elements of the DDR pathway, they also determine treatment response to genotoxic therapy. Novel therapeutic strategies therefore try to circumvent defective DDR signaling and to suppress the pro-survival stimuli received from the tumor microenvironment. With increasing knowledge on specific genetic alterations of CLL, we may be able to target CLL cells more efficiently even in the situation of mutated DDR pathways or protection by microenvironmental stimuli.
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Affiliation(s)
- Lukas P Frenzel
- Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany
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84
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Bajaña S, Turner S, Paul J, Ainsua-Enrich E, Kovats S. IRF4 and IRF8 Act in CD11c+ Cells To Regulate Terminal Differentiation of Lung Tissue Dendritic Cells. THE JOURNAL OF IMMUNOLOGY 2016; 196:1666-77. [PMID: 26746189 DOI: 10.4049/jimmunol.1501870] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Accepted: 12/10/2015] [Indexed: 12/24/2022]
Abstract
Dendritic cells (DCs) initiate immune responses in barrier tissues including lung and skin. Conventional DC (cDC) subsets, CD11b(-) (cDC1s) or CD11b(+) (cDC2s), arise via distinct networks of transcription factors involving IFN regulatory factor 4 (IRF4) and IRF8, and are specialized for unique functional responses. Using mice in which a conditional Irf4 or Irf8 allele is deleted in CD11c(+) cells, we determined whether IRF4 or IRF8 deficiency beginning in CD11c(+) cDC precursors (pre-cDCs) changed the homeostasis of mature DCs or pre-DCs in the lung, dermis, and spleen. CD11c-cre-Irf4(-/-) mice selectively lacked a lung-resident CD11c(hi)CD11b(+)SIRPα(+)CD24(+) DC subset, but not other lung CD11b(+) DCs or alveolar macrophages. Numbers of CD11b(+)CD4(+) splenic DCs, but not CD11b(+) dermal DCs, were reduced, indicating cDC2s in the lung and dermis develop via different pathways. Irf4 deficiency did not alter numbers of cDC1s. CD11c-cre-Irf8(-/-) mice lacked lung-resident CD103(+) DCs and splenic CD8α(+) DCs, yet harbored increased IRF4-dependent DCs. This correlated with a reduced number of Irf8(-/-) pre-cDCs, which contained elevated IRF4, suggesting that Irf8 deficiency diverts pre-cDC fate. Analyses of Irf4 and Irf8 haploinsufficient mice showed that, although one Irf4 allele was sufficient for lung cDC2 development, two functional Irf8 alleles were required for differentiation of lung cDC1s. Thus, IRF8 and IRF4 act in pre-cDCs to direct the terminal differentiation of cDC1 and cDC2 subsets in the lung and spleen. These data suggest that variation in IRF4 or IRF8 levels resulting from genetic polymorphisms or environmental cues will govern tissue DC numbers and, therefore, regulate the magnitude of DC functional responses.
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Affiliation(s)
- Sandra Bajaña
- Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104
| | - Sean Turner
- Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104
| | - Jinny Paul
- Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104
| | - Erola Ainsua-Enrich
- Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104
| | - Susan Kovats
- Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104
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85
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Significantly higher numbers of proB cells in healthy Caucasians compared to Asians: Is there association with incidence of CLL? Blood Cells Mol Dis 2015; 57:118-9. [PMID: 26684742 DOI: 10.1016/j.bcmd.2015.12.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2015] [Accepted: 12/01/2015] [Indexed: 12/27/2022]
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86
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A ceRNA approach may unveil unexpected contributors to deletion syndromes, the model of 5q- syndrome. Oncoscience 2015; 2:872-9. [PMID: 26682279 PMCID: PMC4671954 DOI: 10.18632/oncoscience.261] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2015] [Accepted: 11/09/2015] [Indexed: 02/06/2023] Open
Abstract
In genomic deletions, gene haploinsufficiency might directly configure a specific disease phenotype. Nevertheless, in some cases no functional association can be identified between haploinsufficient genes and the deletion-associated phenotype. Transcripts can act as microRNA sponges. The reduction of transcripts from the hemizygous region may increase the availability of specific microRNAs, which in turn may exert in-trans regulation of target genes outside the deleted region, eventually contributing to the phenotype. Here we prospect a competing endogenous RNA (ceRNA) approach for the identification of candidate genes target of epigenetic regulation in deletion syndromes. As a model, we analyzed the 5q- myelodysplastic syndrome. Genes in haploinsufficiency within the common 5q deleted region in CD34+ blasts were identified in silico. Using the miRWalk 2.0 platform, we predicted microRNAs whose availability, and thus activity, could be enhanced by the deletion, and performed a genomewide analysis of the genes outside the 5q deleted region that could be targeted by the predicted miRNAs. The analysis pointed to two genes with altered expression in 5q- transcriptome, which have never been related with 5q- before. The prospected approach allows investigating the global transcriptional effect of genomic deletions, possibly prompting discovery of unsuspected contributors in the deletion-associated phenotype. Moreover, it may help in functionally characterizing previously reported unexpected interactions.
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87
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Krahling T, Balassa K, Kiss KP, Bors A, Batai A, Halm G, Egyed M, Fekete S, Remenyi P, Masszi T, Tordai A, Andrikovics H. Co-occurrence of Myeloproliferative Neoplasms and Solid Tumors Is Attributed to a Synergism Between Cytoreductive Therapy and the Common TERT Polymorphism rs2736100. Cancer Epidemiol Biomarkers Prev 2015; 25:98-104. [DOI: 10.1158/1055-9965.epi-15-0805] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2015] [Accepted: 10/16/2015] [Indexed: 11/16/2022] Open
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88
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Manukjan G, Ripperger T, Santer L, von Neuhoff N, Ganser A, Schambach A, Schlegelberger B, Steinemann D. Expression of the ETS transcription factor GABPα is positively correlated to the BCR-ABL1/ABL1 ratio in CML patients and affects imatinib sensitivity in vitro. Exp Hematol 2015; 43:880-90. [PMID: 26072332 DOI: 10.1016/j.exphem.2015.05.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2015] [Revised: 05/18/2015] [Accepted: 05/23/2015] [Indexed: 11/18/2022]
Abstract
In Philadelphia-positive chronic myeloid leukemia (CML), imatinib resistance frequently emerges because of point mutations in the ABL1 kinase domain, but may also be the consequence of uncontrolled upstream signaling. Recently, the heteromeric transcription factor GA-binding protein (GABP) was found to promote CML-like myeloproliferative disease in mice. In a cohort of 70 CML patients, we found that expression of the GABP α subunit (GABPα) is positively correlated to the BCR-ABL1/ABL1 ratio. Moreover, significantly higher GABPα expression was detected in blast crisis than in chronic phase CML after performing data mining on 91 CML patients. In functional studies, imatinib sensitivity is enhanced after GABPα knockdown in tyrosine kinase inhibitors (TKI)-sensitive K-562, as well as by overexpression of a deletion mutant in TKI-resistant NALM-1 cells. Moreover, in K-562 cells, GABP-dependent expression variations of PRKD2 and RAC2, relevant signaling mediators in CML, were observed. Notably, protein kinase D2 (Prkd2) was reported to be a GABP target gene in mice. In line with this, we detected a positive correlation between GABPA and PRKD2 expression in primary human CML, indicating that the effects of GABP are mediated by PRKD2. These findings illustrate an important role for GABP in disease development and imatinib sensitivity in human CML.
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MESH Headings
- Drug Resistance, Neoplasm
- Female
- Fusion Proteins, bcr-abl/genetics
- Fusion Proteins, bcr-abl/metabolism
- GA-Binding Protein Transcription Factor/genetics
- GA-Binding Protein Transcription Factor/metabolism
- Gene Expression Regulation, Leukemic
- Gene Knockdown Techniques
- Humans
- Imatinib Mesylate/pharmacology
- K562 Cells
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/metabolism
- Male
- Middle Aged
- Proto-Oncogene Proteins c-ets/biosynthesis
- Proto-Oncogene Proteins c-ets/genetics
- rac GTP-Binding Proteins/genetics
- rac GTP-Binding Proteins/metabolism
- RAC2 GTP-Binding Protein
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Affiliation(s)
- Georgi Manukjan
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany.
| | - Tim Ripperger
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Laura Santer
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Nils von Neuhoff
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Arnold Ganser
- Department of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Axel Schambach
- Institute of Experimental Hematology, Hannover Medical School, Hannover, Germany
| | | | - Doris Steinemann
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
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89
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Tissue-Specific Enrichment of Lymphoma Risk Loci in Regulatory Elements. PLoS One 2015; 10:e0139360. [PMID: 26422229 PMCID: PMC4589387 DOI: 10.1371/journal.pone.0139360] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Accepted: 09/10/2015] [Indexed: 11/19/2022] Open
Abstract
Though numerous polymorphisms have been associated with risk of developing lymphoma, how these variants function to promote tumorigenesis is poorly understood. Here, we report that lymphoma risk SNPs, especially in the non-Hodgkin's lymphoma subtype chronic lymphocytic leukemia, are significantly enriched for co-localization with epigenetic marks of active gene regulation. These enrichments were seen in a lymphoid-specific manner for numerous ENCODE datasets, including DNase-hypersensitivity as well as multiple segmentation-defined enhancer regions. Furthermore, we identify putatively functional SNPs that are both in regulatory elements in lymphocytes and are associated with gene expression changes in blood. We developed an algorithm, UES, that uses a Monte Carlo simulation approach to calculate the enrichment of previously identified risk SNPs in various functional elements. This multiscale approach integrating multiple datasets helps disentangle the underlying biology of lymphoma, and more broadly, is generally applicable to GWAS results from other diseases as well.
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90
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Familial predisposition and genetic risk factors for lymphoma. Blood 2015; 126:2265-73. [PMID: 26405224 DOI: 10.1182/blood-2015-04-537498] [Citation(s) in RCA: 97] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Accepted: 09/11/2015] [Indexed: 02/06/2023] Open
Abstract
Our understanding of familial predisposition to lymphoma (collectively defined as non-Hodgkin lymphoma [NHL], Hodgkin lymphoma [HL], and chronic lymphocytic leukemia [CLL]) outside of rare hereditary syndromes has progressed rapidly during the last decade. First-degree relatives of NHL, HL, and CLL patients have an ∼1.7-fold, 3.1-fold, and 8.5-fold elevated risk of developing NHL, HL, and CLL, respectively. These familial risks are elevated for multiple lymphoma subtypes and do not appear to be confounded by nongenetic risk factors, suggesting at least some shared genetic etiology across the lymphoma subtypes. However, a family history of a specific subtype is most strongly associated with risk for that subtype, supporting subtype-specific genetic factors. Although candidate gene studies have had limited success in identifying susceptibility loci, genome-wide association studies (GWAS) have successfully identified 67 single nucleotide polymorphisms from 41 loci, predominately associated with specific subtypes. In general, these GWAS-discovered loci are common (minor allele frequency >5%), have small effect sizes (odds ratios, 0.60-2.0), and are of largely unknown function. The relatively low incidence of lymphoma, modest familial risk, and the lack of a screening test and associated intervention, all argue against active clinical surveillance for lymphoma in affected families at this time.
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91
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Deeb SJ, Tyanova S, Hummel M, Schmidt-Supprian M, Cox J, Mann M. Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles. Mol Cell Proteomics 2015; 14:2947-60. [PMID: 26311899 PMCID: PMC4638038 DOI: 10.1074/mcp.m115.050245] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Indexed: 11/22/2022] Open
Abstract
Characterization of tumors at the molecular level has improved our knowledge of cancer causation and progression. Proteomic analysis of their signaling pathways promises to enhance our understanding of cancer aberrations at the functional level, but this requires accurate and robust tools. Here, we develop a state of the art quantitative mass spectrometric pipeline to characterize formalin-fixed paraffin-embedded tissues of patients with closely related subtypes of diffuse large B-cell lymphoma. We combined a super-SILAC approach with label-free quantification (hybrid LFQ) to address situations where the protein is absent in the super-SILAC standard but present in the patient samples. Shotgun proteomic analysis on a quadrupole Orbitrap quantified almost 9,000 tumor proteins in 20 patients. The quantitative accuracy of our approach allowed the segregation of diffuse large B-cell lymphoma patients according to their cell of origin using both their global protein expression patterns and the 55-protein signature obtained previously from patient-derived cell lines (Deeb, S. J., D'Souza, R. C., Cox, J., Schmidt-Supprian, M., and Mann, M. (2012) Mol. Cell. Proteomics 11, 77–89). Expression levels of individual segregation-driving proteins as well as categories such as extracellular matrix proteins behaved consistently with known trends between the subtypes. We used machine learning (support vector machines) to extract candidate proteins with the highest segregating power. A panel of four proteins (PALD1, MME, TNFAIP8, and TBC1D4) is predicted to classify patients with low error rates. Highly ranked proteins from the support vector analysis revealed differential expression of core signaling molecules between the subtypes, elucidating aspects of their pathobiology.
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Affiliation(s)
- Sally J Deeb
- From the ‡Proteomics and Signal Transduction Group and
| | - Stefka Tyanova
- From the ‡Proteomics and Signal Transduction Group and §Computational Systems Biochemistry, Max Planck Institute of Biochemistry, D-82152 Martinsried, Germany
| | - Michael Hummel
- ¶Institute of Pathology, Campus Benjamin Franklin, Molecular Diagnostics, Charité-Universitätsmedizin Berlin, 12200 Berlin, Germany, and
| | - Marc Schmidt-Supprian
- ‖Institute of Oncology and Hematology, III. Medizinische Klinik, Technische Universität München, 81675 Munich, Germany
| | - Juergen Cox
- §Computational Systems Biochemistry, Max Planck Institute of Biochemistry, D-82152 Martinsried, Germany
| | - Matthias Mann
- From the ‡Proteomics and Signal Transduction Group and
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Abstract
PURPOSE OF REVIEW This review highlights recent insights into the roles of microRNAs (miRNAs) in pathogenesis of myeloid malignancies and tantalising prospects of miRNA therapy. RECENT FINDINGS New roles for miRNAs in biological and disease processes are constantly being discovered. Although great effort has been put into identifying and cataloguing aberrantly expressed miRNAs in leukaemia, very little is known about the functional consequences of their deregulation in myeloid malignancies. This review will discuss the significance of powerful oncogenic miRNAs such as miR-22 in self-renewal and transformation of haematopoietic stem cells, as well as their ability to induce epigenetic alterations in the pathogenesis of the stem cell disorder myelodysplastic syndromes and myeloid leukaemia. SUMMARY Improved understanding of biological roles of miRNAs in the pathogenesis of haematological malignancies will allow rational stratification of patients and provide new therapeutic entries for the treatment of myelodysplastic syndromes and leukaemia.
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93
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SP140L, an Evolutionarily Recent Member of the SP100 Family, Is an Autoantigen in Primary Biliary Cirrhosis. J Immunol Res 2015; 2015:526518. [PMID: 26347895 PMCID: PMC4548144 DOI: 10.1155/2015/526518] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Accepted: 07/07/2015] [Indexed: 12/21/2022] Open
Abstract
The SP100 family members comprise a set of closely related genes on chromosome 2q37.1. The widely expressed SP100 and the leukocyte-specific proteins SP110 and SP140 have been associated with transcriptional regulation and various human diseases. Here, we have characterized the SP100 family member SP140L. The genome sequence analysis showed the formation of SP140L gene through rearrangements of the two neighboring genes, SP100 and SP140, during the evolution of higher primates. The SP140L expression is interferon-inducible with high transcript levels in B cells and other peripheral blood mononuclear cells. Subcellularly, SP140L colocalizes with SP100 and SP140 in nuclear structures that are devoid of SP110, PML, or p300 proteins. Similarly to SP100 and SP140 protein, we detected serum autoantibodies to SP140L in patients with primary biliary cirrhosis using luciferase immunoprecipitation system and immunoblotting assays. In conclusion, our results show that SP140L is phylogenetically recent member of SP100 proteins and acts as an autoantigen in primary biliary cirrhosis patients.
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De Braekeleer M, De Braekeleer E, Douet-Guilbert N. Geographic/ethnic variability of chromosomal and molecular abnormalities in leukemia. Expert Rev Anticancer Ther 2015. [DOI: 10.1586/14737140.2015.1068123] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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95
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Strati P, Shanafelt TD. Monoclonal B-cell lymphocytosis and early-stage chronic lymphocytic leukemia: diagnosis, natural history, and risk stratification. Blood 2015; 126:454-62. [PMID: 26065657 PMCID: PMC4624440 DOI: 10.1182/blood-2015-02-585059] [Citation(s) in RCA: 151] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2015] [Accepted: 03/23/2015] [Indexed: 01/09/2023] Open
Abstract
Monoclonal B lymphocytosis (MBL) is defined as the presence of a clonal B-cell population in the peripheral blood with fewer than 5 × 10(9)/L B-cells and no other signs of a lymphoproliferative disorder. The majority of cases of MBL have the immunophenotype of chronic lymphocytic leukemia (CLL). MBL can be categorized as either low count or high count based on whether the B-cell count is above or below 0.5 × 10(9)/L. Low-count MBL can be detected in ∼5% of adults over the age of 40 years when assessed using standard-sensitivity flow cytometry assays. A number of biological and genetic characteristics distinguish low-count from high-count MBL. Whereas low-count MBL rarely progresses to CLL, high-count MBL progresses to CLL requiring therapy at a rate of 1% to 2% per year. High-count MBL is distinguished from Rai 0 CLL based on whether the B-cell count is above or below 5 × 10(9)/L. Although individuals with both high-count MBL and CLL Rai stage 0 are at increased risk of infections and second cancers, the risk of progression requiring treatment and the potential to shorten life expectancy are greater for CLL. This review highlights challenging questions regarding the classification, risk stratification, management, and supportive care of patients with MBL and CLL.
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Affiliation(s)
- Paolo Strati
- Mayo Clinic College of Medicine, Division of Hematology, Rochester, MN
| | - Tait D Shanafelt
- Mayo Clinic College of Medicine, Division of Hematology, Rochester, MN
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96
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Matesanz F, Potenciano V, Fedetz M, Ramos-Mozo P, Abad-Grau MDM, Karaky M, Barrionuevo C, Izquierdo G, Ruiz-Peña JL, García-Sánchez MI, Lucas M, Fernández Ó, Leyva L, Otaegui D, Muñoz-Culla M, Olascoaga J, Vandenbroeck K, Alloza I, Astobiza I, Antigüedad A, Villar LM, Álvarez-Cermeño JC, Malhotra S, Comabella M, Montalban X, Saiz A, Blanco Y, Arroyo R, Varadé J, Urcelay E, Alcina A. A functional variant that affects exon-skipping and protein expression of SP140 as genetic mechanism predisposing to multiple sclerosis. Hum Mol Genet 2015; 24:5619-27. [PMID: 26152201 DOI: 10.1093/hmg/ddv256] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2015] [Accepted: 07/01/2015] [Indexed: 12/25/2022] Open
Abstract
Several variants in strong linkage disequilibrium (LD) at the SP140 locus have been associated with multiple sclerosis (MS), Crohn's disease (CD) and chronic lymphocytic leukemia (CLL). To determine the causal polymorphism, we have integrated high-density data sets of expression quantitative trait loci (eQTL), using GEUVADIS RNA sequences and 1000 Genomes genotypes, with MS-risk variants of the high-density Immunochip array performed by the International Multiple Sclerosis Genetic Consortium (IMSGC). The variants most associated with MS were also correlated with a decreased expression of the full-length RNA isoform of SP140 and an increase of an isoform lacking exon 7. By exon splicing assay, we have demonstrated that the rs28445040 variant was the causal factor for skipping of exon 7. Western blots of peripheral blood mononuclear cells from MS patients showed a significant allele-dependent reduction of the SP140 protein expression. To confirm the association of this functional variant with MS and to compare it with the best-associated variant previously reported by GWAS (rs10201872), a case-control study including 4384 MS patients and 3197 controls was performed. Both variants, in strong LD (r(2) = 0.93), were found similarly associated with MS [P-values, odds ratios: 1.9E-9, OR = 1.35 (1.22-1.49) and 4.9E-10, OR = 1.37 (1.24-1.51), respectively]. In conclusion, our data uncover the causal variant for the SP140 locus and the molecular mechanism associated with MS risk. In addition, this study and others previously reported strongly suggest that this functional variant may be shared with other immune-mediated diseases as CD and CLL.
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Affiliation(s)
- Fuencisla Matesanz
- Department of Cell Biology and Immunology, Instituto de Parasitología y Biomedicina López Neyra (IPBLN), CSIC, Granada, Spain,
| | - Victor Potenciano
- Department of Cell Biology and Immunology, Instituto de Parasitología y Biomedicina López Neyra (IPBLN), CSIC, Granada, Spain, Department of Computer Languages and Systems-CITIC, Universidad de Granada, Granada, Spain
| | - Maria Fedetz
- Department of Cell Biology and Immunology, Instituto de Parasitología y Biomedicina López Neyra (IPBLN), CSIC, Granada, Spain
| | | | | | - Mohamad Karaky
- Department of Cell Biology and Immunology, Instituto de Parasitología y Biomedicina López Neyra (IPBLN), CSIC, Granada, Spain
| | - Cristina Barrionuevo
- Department of Cell Biology and Immunology, Instituto de Parasitología y Biomedicina López Neyra (IPBLN), CSIC, Granada, Spain
| | - Guillermo Izquierdo
- Unidad de Esclerosis Múltiple, Hospital Universitario Virgen Macarena, Sevilla, Spain
| | - Juan Luis Ruiz-Peña
- Unidad de Esclerosis Múltiple, Hospital Universitario Virgen Macarena, Sevilla, Spain
| | | | - Miguel Lucas
- Servicio de Biología Molecular, Facultad de Medicina, Hospital Virgen Macarena, Sevilla, Spain
| | - Óscar Fernández
- Unidad de Gestión Clínica de Neurociencias, Instituto de Biomedicina de Málaga (IBIMA), Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Laura Leyva
- Unidad de Gestión Clínica de Neurociencias, Instituto de Biomedicina de Málaga (IBIMA), Hospital Regional Universitario de Málaga, Málaga, Spain
| | - David Otaegui
- Área de Neurociencias, Inst. Investigación Sanitaria Biodonostia, San Sebastián, Spain
| | - Maider Muñoz-Culla
- Área de Neurociencias, Inst. Investigación Sanitaria Biodonostia, San Sebastián, Spain
| | - Javier Olascoaga
- Área de Neurociencias, Inst. Investigación Sanitaria Biodonostia, San Sebastián, Spain
| | - Koen Vandenbroeck
- Neurogenomiks Group, Universidad del País Vasco (UPV/EHU), Leioa, Spain, Achucarro Basque Center for Neuroscience, Zamudio, Spain, IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
| | - Iraide Alloza
- Neurogenomiks Group, Universidad del País Vasco (UPV/EHU), Leioa, Spain, Achucarro Basque Center for Neuroscience, Zamudio, Spain, IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
| | - Ianire Astobiza
- Neurogenomiks Group, Universidad del País Vasco (UPV/EHU), Leioa, Spain, Achucarro Basque Center for Neuroscience, Zamudio, Spain
| | | | - Luisa María Villar
- Department of Immunology, Department of Neurology. MS Unit. (IRYCIS), Hospital Ramon y Cajal, Madrid, Spain
| | | | - Sunny Malhotra
- Servei de Neurologia-Neuroimmunologia, Centre D'Esclerosi Múltiple de Catalunya, Cemcat, Hospital Universitari Vall d'Hebron, Barcelona, Spain and
| | - Manuel Comabella
- Servei de Neurologia-Neuroimmunologia, Centre D'Esclerosi Múltiple de Catalunya, Cemcat, Hospital Universitari Vall d'Hebron, Barcelona, Spain and
| | - Xavier Montalban
- Servei de Neurologia-Neuroimmunologia, Centre D'Esclerosi Múltiple de Catalunya, Cemcat, Hospital Universitari Vall d'Hebron, Barcelona, Spain and
| | - Albert Saiz
- Neurology Service, Hospital Clinic and I. d'Investigació Biomèdica Pi iSunyer (IDIBAPS), Barcelona, Spain
| | - Yolanda Blanco
- Neurology Service, Hospital Clinic and I. d'Investigació Biomèdica Pi iSunyer (IDIBAPS), Barcelona, Spain
| | - Rafael Arroyo
- Multiple Sclerosis Unit, Hospital Clínico San Carlos. Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | | | | | - Antonio Alcina
- Department of Cell Biology and Immunology, Instituto de Parasitología y Biomedicina López Neyra (IPBLN), CSIC, Granada, Spain,
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97
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Li H, Chen H, Liu F, Ren C, Wang S, Bo X, Shu W. Functional annotation of HOT regions in the human genome: implications for human disease and cancer. Sci Rep 2015; 5:11633. [PMID: 26113264 PMCID: PMC4481521 DOI: 10.1038/srep11633] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2015] [Accepted: 06/01/2015] [Indexed: 12/17/2022] Open
Abstract
Advances in genome-wide association studies (GWAS) and large-scale sequencing studies have resulted in an impressive and growing list of disease- and trait-associated genetic variants. Most studies have emphasised the discovery of genetic variation in coding sequences, however, the noncoding regulatory effects responsible for human disease and cancer biology have been substantially understudied. To better characterise the cis-regulatory effects of noncoding variation, we performed a comprehensive analysis of the genetic variants in HOT (high-occupancy target) regions, which are considered to be one of the most intriguing findings of recent large-scale sequencing studies. We observed that GWAS variants that map to HOT regions undergo a substantial net decrease and illustrate development-specific localisation during haematopoiesis. Additionally, genetic risk variants are disproportionally enriched in HOT regions compared with LOT (low-occupancy target) regions in both disease-relevant and cancer cells. Importantly, this enrichment is biased toward disease- or cancer-specific cell types. Furthermore, we observed that cancer cells generally acquire cancer-specific HOT regions at oncogenes through diverse mechanisms of cancer pathogenesis. Collectively, our findings demonstrate the key roles of HOT regions in human disease and cancer and represent a critical step toward further understanding disease biology, diagnosis, and therapy.
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Affiliation(s)
- Hao Li
- Department of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Hebing Chen
- Department of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Feng Liu
- Department of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Chao Ren
- Department of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Shengqi Wang
- Department of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Xiaochen Bo
- Department of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Wenjie Shu
- Department of Biotechnology, Beijing Institute of Radiation Medicine, Beijing 100850, China
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98
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Knittel G, Liedgens P, Reinhardt HC. Targeting ATM-deficient CLL through interference with DNA repair pathways. Front Genet 2015; 6:207. [PMID: 26113859 PMCID: PMC4461826 DOI: 10.3389/fgene.2015.00207] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Accepted: 05/28/2015] [Indexed: 11/13/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL) is the most common form of leukemia in the Western world and accounts for approximately 30% of adult leukemias and 25% of non-Hodgkin lymphomas. The median age at diagnosis is 72 years. During recent years numerous genetic aberrations have been identified that are associated with an aggressive course of the disease and resistance against genotoxic chemotherapies. The DNA damage-responsive proapoptotic ATM-CHK2-p53 signaling pathway is frequently mutationally inactivated in CLL either through large deletions on chromosome 11q (ATM) or 17p (TP53), or through protein-damaging mutations. Here, we focus on the role of ATM signaling for the immediate DNA damage response, DNA repair and leukemogenesis. We further discuss novel therapeutic concepts for the targeted treatment of ATM-defective CLLs. We specifically highlight the potential use of PARP1 and DNA-PKcs inhibitors for the treatment of ATM-mutant CLL clones. Lastly, we briefly discuss the current state of genetically engineered mouse models of the disease and emphasize the use of these preclinical tools as a common platform for the development and validation of novel therapeutic agents.
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Affiliation(s)
- Gero Knittel
- Department of Internal Medicine, University Hospital of CologneCologne, Germany
- Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases, University of CologneCologne, Germany
| | - Paul Liedgens
- Department of Internal Medicine, University Hospital of CologneCologne, Germany
- Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases, University of CologneCologne, Germany
| | - Hans C. Reinhardt
- Department of Internal Medicine, University Hospital of CologneCologne, Germany
- Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases, University of CologneCologne, Germany
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99
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Gatta AT, Wong LH, Sere YY, Calderón-Noreña DM, Cockcroft S, Menon AK, Levine TP. A new family of StART domain proteins at membrane contact sites has a role in ER-PM sterol transport. eLife 2015; 4. [PMID: 26001273 PMCID: PMC4463742 DOI: 10.7554/elife.07253] [Citation(s) in RCA: 194] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2015] [Accepted: 05/20/2015] [Indexed: 12/18/2022] Open
Abstract
Sterol traffic between the endoplasmic reticulum (ER) and plasma membrane (PM) is a fundamental cellular process that occurs by a poorly understood non-vesicular mechanism. We identified a novel, evolutionarily diverse family of ER membrane proteins with StART-like lipid transfer domains and studied them in yeast. StART-like domains from Ysp2p and its paralog Lam4p specifically bind sterols, and Ysp2p, Lam4p and their homologs Ysp1p and Sip3p target punctate ER-PM contact sites distinct from those occupied by known ER-PM tethers. The activity of Ysp2p, reflected in amphotericin-sensitivity assays, requires its second StART-like domain to be positioned so that it can reach across ER-PM contacts. Absence of Ysp2p, Ysp1p or Sip3p reduces the rate at which exogenously supplied sterols traffic from the PM to the ER. Our data suggest that these StART-like proteins act in trans to mediate a step in sterol exchange between the PM and ER. DOI:http://dx.doi.org/10.7554/eLife.07253.001 Membranes are crucial structures for cells that are made primarily of fat molecules. The most important membrane is the external one that surrounds cells and keeps the outside world out and cellular contents in. The single most common fat component in the external membrane is cholesterol, which makes the membrane rigid and better able to withstand the outside world. So even though excess cholesterol contributes to diseases such as heart disease, stroke and Alzheimer's, the external membrane of every cell needs about a billion cholesterol molecules for its normal function. But how do cells manage the traffic of these molecules to their destination? It is known that when external membranes are short of cholesterol they make it at a different cellular location. There is an internal network—called the endoplasmic reticulum—that spreads just about everywhere throughout the cell. This network is where fats like cholesterol are made when the cell has not got enough, and where they are converted into an inert form when the cell has too much. What is not known is how cholesterol moves to and fro between this network and the external membrane. One theory is that cholesterol and other fats move only where the internal network comes into close contact with the external membrane, without quite touching. This theory comes in part from the finding that many of the proteins found in the narrow gaps between the internal network and the external membrane are capable of transferring fats across the gap. However, one of the missing supports for this theory is that no protein that transfers cholesterol across this gap has been found. Gatta, Wong, Sere et al. used computational tools to scan the database of known proteins for those that might be able to transfer cholesterol, and found a new family of fat transfer proteins. Further experiments showed that these proteins only bind to cholesterol out of all the fats. Next, Gatta, Wong, Sere et al. studied what the proteins do in cells, but instead of looking at the proteins in human cells they studied the related proteins in yeast. This is because the details of both the traffic of cholesterol and contacts between the internal network and the external membrane are in many respects understood better in yeast than in human cells. Gatta, Wong, Sere et al. found the cholesterol transfer proteins were embedded in regions where the internal network was in close contact with the external membrane. Also, in cells that lacked these proteins, cholesterol added to the external membrane had difficulty transferring to the internal network. These results together suggest that the newly identified lipid transfer proteins exchange lipids between the plasma membrane and endoplasmic reticulum at membrane contact sites. Further research is required to understand in detail how these proteins work. DOI:http://dx.doi.org/10.7554/eLife.07253.002
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Affiliation(s)
- Alberto T Gatta
- Department of Cell Biology, UCL Institute of Ophthalmology, London, United Kingdom
| | - Louise H Wong
- Department of Cell Biology, UCL Institute of Ophthalmology, London, United Kingdom
| | - Yves Y Sere
- Department of Biochemistry, Weill Cornell Medical College, New York, United States
| | | | - Shamshad Cockcroft
- Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom
| | - Anant K Menon
- Department of Biochemistry, Weill Cornell Medical College, New York, United States
| | - Tim P Levine
- Department of Cell Biology, UCL Institute of Ophthalmology, London, United Kingdom
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100
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Slager SL, Benavente Y, Blair A, Vermeulen R, Cerhan JR, Costantini AS, Monnereau A, Nieters A, Clavel J, Call TG, Maynadié M, Lan Q, Clarke CA, Lightfoot T, Norman AD, Sampson JN, Casabonne D, Cocco P, de Sanjosé S. Medical history, lifestyle, family history, and occupational risk factors for chronic lymphocytic leukemia/small lymphocytic lymphoma: the InterLymph Non-Hodgkin Lymphoma Subtypes Project. J Natl Cancer Inst Monogr 2015; 2014:41-51. [PMID: 25174025 DOI: 10.1093/jncimonographs/lgu001] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Chronic lymphocytic leukemia (CLL) and small lymphocytic lymphoma (SLL) are two subtypes of non-Hodgkin lymphoma. A number of studies have evaluated associations between risk factors and CLL/SLL risk. However, these associations remain inconsistent or lacked confirmation. This may be due, in part, to the inadequate sample size of CLL/SLL cases. METHODS We performed a pooled analysis of 2440 CLL/SLL cases and 15186 controls from 13 case-control studies from Europe, North America, and Australia. We evaluated associations of medical history, family history, lifestyle, and occupational risk factors with CLL/SLL risk. Multivariate logistic regression analyses were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS We confirmed prior inverse associations with any atopic condition and recreational sun exposure. We also confirmed prior elevated associations with usual adult height, hepatitis C virus seropositivity, living or working on a farm, and family history of any hematological malignancy. Novel associations were identified with hairdresser occupation (OR = 1.77, 95% CI = 1.05 to 2.98) and blood transfusion history (OR = 0.79, 95% CI = 0.66 to 0.94). We also found smoking to have modest protective effect (OR = 0.9, 95% CI = 0.81 to 0.99). All exposures showed evidence of independent effects. CONCLUSIONS We have identified or confirmed several independent risk factors for CLL/SLL supporting a role for genetics (through family history), immune function (through allergy and sun), infection (through hepatitis C virus), and height, and other pathways of immune response. Given that CLL/SLL has more than 30 susceptibility loci identified to date, studies evaluating the interaction among genetic and nongenetic factors are warranted.
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Affiliation(s)
- Susan L Slager
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC).
| | - Yolanda Benavente
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Aaron Blair
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Roel Vermeulen
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - James R Cerhan
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Adele Seniori Costantini
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Alain Monnereau
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Alexandra Nieters
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Jacqueline Clavel
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Timothy G Call
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Marc Maynadié
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Qing Lan
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Christina A Clarke
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Tracy Lightfoot
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Aaron D Norman
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Joshua N Sampson
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Delphine Casabonne
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Pierluigi Cocco
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
| | - Silvia de Sanjosé
- Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN (SLS, JRC, TGC, ADN); Unit of Infections and Cancer, Cancer Epidemiology Research Programme, Institut Català d' Oncologia, IDIBELL, L'Hospitalet de Llobregat, Spain, CIBER de Epidemiología y Salud Pública, Barcelona, Spain (YB, DC, SdS); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (AB, QL, JNS); Institute for Risk Assessment Sciences, Utrecht University, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands (RV); Unit of Occupational and Environmental Epidemiology, Cancer Prevention and Research Institute ISPO, Florence, Italy (ASC); Inserm, Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Group, Univ Paris Sud, Villejuif, France (AM, JC); Registry of Hematological Malignancies, Gironde and Bergonié Institute, Bordeaux, France (AM); Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany (AN); Biological Hematology Unit; CRB Ferdinand Cabanne, University Hospital of Dijon, University of Burgundy, France (MM); Cancer Prevention Institute of California, Fremont, CA (CAC); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Cagliari, Italy (PC)
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