Prognostic impact of epigenetic classification in chronic lymphocytic leukemia: The case of subset #2

Reference

• Strathdee G, Brown R. Aberrant DNA methylation in cancer: potential clinical interventions. Exp Rev Mol Med 2002; 4:1-17; PMID:14987388; http://dx.doi.org/10.1017/S1462399402004222
   PubMedGoogle Scholar
• Corcoran M, Parker A, Orchard J, Davis Z, Wirtz M, Schmitz OJ, Oscier D. ZAP-70 methylation status is associated with ZAP-70 expression status in chronic lymphocytic leukemia. Haematologica 2005; 90:1078-88; PMID:16079107
   PubMed Web of Science ®Google Scholar
• Chantepie SP, Vaur D, Grunau C, Salaun V, Briand M, Parienti JJ, Heutte N, Cheze S, Roussel M, Gauduchon P, et al. ZAP-70 intron1 DNA methylation status: determination by pyrosequencing in B chronic lymphocytic leukemia. Leukemia Res 2010; 34:800-8; PMID:19944462; http://dx.doi.org/10.1016/j.leukres.2009.10.018
   PubMed Web of Science ®Google Scholar
• Claus R, Lucas DM, Ruppert AS, Williams KE, Weng D, Patterson K, Zucknick M, Oakes CC, Rassenti LZ, Greaves AW, et al. Validation of ZAP-70 methylation and its relative significance in predicting outcome in chronic lymphocytic leukemia. Blood 2014; 124:42-8; PMID:24868078; http://dx.doi.org/10.1182/blood-2014-02-555722
   PubMed Web of Science ®Google Scholar
• Claus R, Lucas DM, Stilgenbauer S, Ruppert AS, Yu L, Zucknick M, Mertens D, Buhler A, Oakes CC, Larson RA, et al. Quantitative DNA methylation analysis identifies a single CpG dinucleotide important for ZAP-70 expression and predictive of prognosis in chronic lymphocytic leukemia. J Clin Oncol 2012; 30:2483-91; PMID:22564988; http://dx.doi.org/10.1200/JCO.2011.39.3090
   PubMed Web of Science ®Google Scholar
• Abreu C, Moreno P, Palacios F, Borge M, Morande P, Landoni AI, Gabus R, Dighiero G, Giordano M, Gamberale R, et al. Methylation status regulates lipoprotein lipase expression in chronic lymphocytic leukemia. Leukemia & lymphoma 2013; 54:1844-8; PMID:23614796; http://dx.doi.org/10.3109/10428194.2013.796057
   PubMed Web of Science ®Google Scholar
• Moreno P, Abreu C, Borge M, Palacios F, Morande P, Pegazzano M, Bianchi S, Landoni AI, Agrelo R, Giordano M, et al. Lipoprotein lipase expression in unmutated CLL patients is the consequence of a demethylation process induced by the microenvironment. Leukemia 2013; 27:721-5; PMID:22828442; http://dx.doi.org/10.1038/leu.2012.212
   PubMed Web of Science ®Google Scholar
• Strathdee G, Holyoake TL, Sim A, Parker A, Oscier DG, Melo JV, Meyer S, Eden T, Dickinson AM, Mountford JC, et al. Inactivation of HOXA genes by hypermethylation in myeloid and lymphoid malignancy is frequent and associated with poor prognosis. Clin Cancer Res 2007; 13:5048-55; PMID:17785556; http://dx.doi.org/10.1158/1078-0432.CCR-07-0919
   PubMed Web of Science ®Google Scholar
• Strathdee G, Sim A, Parker A, Oscier D, Brown R. Promoter hypermethylation silences expression of the HoxA4 gene and correlates with IgVh mutational status in CLL. Leukemia 2006; 20:1326-9; PMID:16688227; http://dx.doi.org/10.1038/sj.leu.2404254
   PubMed Web of Science ®Google Scholar
• Shinawi T, Hill V, Dagklis A, Baliakas P, Stamatopoulos K, Agathanggelou A, Stankovic T, Maher ER, Ghia P, Latif F. KIBRA gene methylation is associated with unfavorable biological prognostic parameters in chronic lymphocytic leukemia. Epigenetics 2012; 7:211-5; PMID:22430796; http://dx.doi.org/10.4161/epi.7.3.19222
   PubMed Web of Science ®Google Scholar
• Hill VK, Dunwell TL, Catchpoole D, Krex D, Brini AT, Griffiths M, Craddock C, Maher ER, Latif F. Frequent epigenetic inactivation of KIBRA, an upstream member of the Salvador/Warts/Hippo (SWH) tumor suppressor network, is associated with specific genetic event in B-cell acute lymphocytic leukemia. Epigenetics 2011; 6:326-32; PMID:21173572; http://dx.doi.org/10.4161/epi.6.3.14404
   PubMed Web of Science ®Google Scholar
• Raval A, Lucas DM, Matkovic JJ, Bennett KL, Liyanarachchi S, Young DC, Rassenti L, Kipps TJ, Grever MR, Byrd JC, et al. TWIST2 demonstrates differential methylation in immunoglobulin variable heavy chain mutated and unmutated chronic lymphocytic leukemia. J Clin Oncol 2005; 23:3877-85; PMID:15809452; http://dx.doi.org/10.1200/JCO.2005.02.196
   PubMed Web of Science ®Google Scholar
• Irving L, Mainou-Fowler T, Parker A, Ibbotson RE, Oscier DG, Strathdee G. Methylation markers identify high risk patients in IGHV mutated chronic lymphocytic leukemia. Epigenetics 2011; 6:300-6; PMID:21051931; http://dx.doi.org/10.4161/epi.6.3.14038
   PubMed Web of Science ®Google Scholar
• Kanduri M, Cahill N, Goransson H, Enstrom C, Ryan F, Isaksson A, Rosenquist R. Differential genome-wide array-based methylation profiles in prognostic subsets of chronic lymphocytic leukemia. Blood 2010; 115:296-305; PMID:19897574; http://dx.doi.org/10.1182/blood-2009-07-232868
   PubMed Web of Science ®Google Scholar
• Kulis M, Heath S, Bibikova M, Queiros AC, Navarro A, Clot G, Martinez-Trillos A, Castellano G, Brun-Heath I, Pinyol M, et al. Epigenomic analysis detects widespread gene-body DNA hypomethylation in chronic lymphocytic leukemia. Nat Genet 2012; 44:1236-42; PMID:23064414; http://dx.doi.org/10.1038/ng.2443
   PubMed Web of Science ®Google Scholar
• Cahill N, Bergh AC, Kanduri M, Goransson-Kultima H, Mansouri L, Isaksson A, Ryan F, Smedby KE, Juliusson G, Sundstrom C, et al. 450K-array analysis of chronic lymphocytic leukemia cells reveals global DNA methylation to be relatively stable over time and similar in resting and proliferative compartments. Leukemia 2013; 27:150-8; PMID:22922567; http://dx.doi.org/10.1038/leu.2012.245
   PubMed Web of Science ®Google Scholar
• Queiros AC, Villamor N, Clot G, Martinez-Trillos A, Kulis M, Navarro A, Penas EM, Jayne S, Majid A, Richter J, et al. A B-cell epigenetic signature defines three biologic subgroups of chronic lymphocytic leukemia with clinical impact. Leukemia 2015; 29:598-605; PMID:25151957; http://dx.doi.org/10.1038/leu.2014.252
   PubMed Web of Science ®Google Scholar
• Tobin G, Thunberg U, Johnson A, Eriksson I, Soderberg O, Karlsson K, Merup M, Juliusson G, Vilpo J, Enblad G, et al. Chronic lymphocytic leukemias utilizing the VH3-21 gene display highly restricted Vlambda2-14 gene use and homologous CDR3s: implicating recognition of a common antigen epitope. Blood 2003; 101:4952-7; PMID:12586612; http://dx.doi.org/10.1182/blood-2002-11-3485
   PubMed Web of Science ®Google Scholar
• Thorselius M, Krober A, Murray F, Thunberg U, Tobin G, Buhler A, Kienle D, Albesiano E, Maffei R, Dao-Ung LP, et al. Strikingly homologous immunoglobulin gene rearrangements and poor outcome in VH3-21-using chronic lymphocytic leukemia patients independent of geographic origin and mutational status. Blood 2006; 107:2889-94; PMID:16317103; http://dx.doi.org/10.1182/blood-2005-06-2227
   PubMed Web of Science ®Google Scholar
• Baliakas P, Agathangelidis A, Hadzidimitriou A, Sutton LA, Minga E, Tsanousa A, Scarfo L, Davis Z, Yan XJ, Shanafelt T, et al. Not all IGHV3-21 chronic lymphocytic leukemias are equal: prognostic considerations. Blood 2015; 125:856-9; PMID:25634617; http://dx.doi.org/10.1182/blood-2014-09-600874
   PubMed Web of Science ®Google Scholar
• Puente XS, Bea S, Valdes-Mas R, Villamor N, Gutierrez-Abril J, Martin-Subero JI, Munar M, Rubio-Perez C, Jares P, Aymerich M, et al. Non-coding recurrent mutations in chronic lymphocytic leukaemia. Nature 2015; 526:519-24; PMID:26200345; http://dx.doi.org/10.1038/nature14666
   PubMed Web of Science ®Google Scholar
• Strefford JC, Sutton LA, Baliakas P, Agathangelidis A, Malcikova J, Plevova K, Scarfo L, Davis Z, Stalika E, Cortese D, et al. Distinct patterns of novel gene mutations in poor-prognostic stereotyped subsets of chronic lymphocytic leukemia: the case of SF3B1 and subset #2. Leukemia 2013; 27:2196-9; PMID:23558524; http://dx.doi.org/10.1038/leu.2013.98
   PubMed Web of Science ®Google Scholar
• Smedby KE, Hjalgrim H, Melbye M, Torrang A, Rostgaard K, Munksgaard L, Adami J, Hansen M, Porwit-MacDonald A, Jensen BA, et al. Ultraviolet radiation exposure and risk of malignant lymphomas. J Natl Cancer Inst 2005; 97:199-209; PMID:15687363; http://dx.doi.org/10.1093/jnci/dji022
   PubMed Web of Science ®Google Scholar
• Hallek M, Cheson BD, Catovsky D, Caligaris-Cappio F, Dighiero G, Dohner H, Hillmen P, Keating MJ, Montserrat E, Rai KR, et al. Guidelines for the diagnosis and treatment of chronic lymphocytic leukemia: a report from the International Workshop on Chronic Lymphocytic Leukemia updating the National Cancer Institute-Working Group 1996 guidelines. Blood 2008; 111:5446-56; PMID:18216293; http://dx.doi.org/10.1182/blood-2007-06-093906
   PubMed Web of Science ®Google Scholar
• Agathangelidis A, Darzentas N, Hadzidimitriou A, Brochet X, Murray F, Yan XJ, Davis Z, van Gastel-Mol EJ, Tresoldi C, Chu CC, et al. Stereotyped B-cell receptors in one-third of chronic lymphocytic leukemia: a molecular classification with implications for targeted therapies. Blood 2012; 119:4467-75; PMID:22415752; http://dx.doi.org/10.1182/blood-2011-11-393694
   PubMed Web of Science ®Google Scholar
• Murray F, Darzentas N, Hadzidimitriou A, Tobin G, Boudjogra M, Scielzo C, Laoutaris N, Karlsson K, Baran-Marzsak F, Tsaftaris A, et al. Stereotyped patterns of somatic hypermutation in subsets of patients with chronic lymphocytic leukemia: implications for the role of antigen selection in leukemogenesis. Blood 2008; 111:1524-33; PMID:17959859; http://dx.doi.org/10.1182/blood-2007-07-099564
   PubMed Web of Science ®Google Scholar
• Thunberg U, Johnson A, Roos G, Thorn I, Tobin G, Sallstrom J, Sundstrom C, Rosenquist R. CD38 expression is a poor predictor for VH gene mutational status and prognosis in chronic lymphocytic leukemia. Blood 2001; 97:1892-4; PMID:11263438; http://dx.doi.org/10.1182/blood.V97.6.1892
   PubMed Web of Science ®Google Scholar
• Gunnarsson R, Staaf J, Jansson M, Ottesen AM, Goransson H, Liljedahl U, Ralfkiaer U, Mansouri M, Buhl AM, Smedby KE, et al. Screening for copy-number alterations and loss of heterozygosity in chronic lymphocytic leukemia–a comparative study of four differently designed, high resolution microarray platforms. Genes Chromosomes Cancer 2008; 47:697-711; PMID:18484635; http://dx.doi.org/10.1002/gcc.20575
   PubMed Web of Science ®Google Scholar
• Cortese D, Sutton LA, Cahill N, Smedby KE, Geisler C, Gunnarsson R, Juliusson G, Mansouri L, Rosenquist R. On the way towards a ‘CLL prognostic index’: focus on TP53, BIRC3, SF3B1, NOTCH1 and MYD88 in a population-based cohort. Leukemia 2014; 28:710-3; PMID:24217197; http://dx.doi.org/10.1038/leu.2013.333
   PubMed Web of Science ®Google Scholar
• Sturn A, Quackenbush J, Trajanoski Z. Genesis: cluster analysis of microarray data. Bioinformatics 2002; 18:207-8; PMID:11836235; http://dx.doi.org/10.1093/bioinformatics/18.1.207
   PubMed Web of Science ®Google Scholar