BACKGROUND: The JAK2(V617F) mutation is present in the majority of patients with polycythaemia vera and in approximately half of patients with essential thrombocythaemia and primary myelofibrosis. In this study we compare the results of JAK2(V617F) mutation detection using three different molecular techniques in the same group of patients affected by essential thrombocythaemia. PATIENTS AND METHODS: The JAK2 mutation was investigated with a qualitative method in 115 consecutive outpatients with a diagnosis of essential thrombocythaemia made according to WHO 2001 criteria. In 48/115 (41.7%) the allele burden was also evaluated with two different qualitative methods, of which one was a method developed in-house and the other was a commercially available method. RESULTS: The JAK2(V617F) mutation was detected by the qualitative method in 81/115 (69.6%) of the patients. Among the 48/115 patients in whom all three methods were applied, the qualitative method detected the mutation in 38 (79%). According to the quantitative method developed in-house, the mutation was present in 35/48 (73%) of the patients: of these, 2/35 (5.7%) patients were homozygous for the JAK2(V617F) mutation. The commercial quantitative method showed the mutation in 37/48 (77%) patients: of these, 9/37 (18%) patients were homozygous. Three of the 13 patients in whom no mutation was detected by the in-house method were positive for the JAK2(V617F) according to the commercial method. In one patient the search for the JAK2(V617F) mutation was positive with the in-house method but negative with the commercial kit. CONCLUSION: Detection of the JAK2(V617F) mutation may depend on the molecular technique used. Considering that detection of this mutation will not only have a diagnostic value, but also a role in treatment given the development of JAK2(V617F) pathway inhibiting drugs, indications on a reference molecular diagnostic technique for JAK2(V617F) assessment and quantification of its allele burden from a panel of experts are warranted.
BACKGROUND: The JAK2(V617F) mutation is present in the majority of patients with polycythaemia vera and in approximately half of patients with essential thrombocythaemia and primary myelofibrosis. In this study we compare the results of JAK2(V617F) mutation detection using three different molecular techniques in the same group of patients affected by essential thrombocythaemia. PATIENTS AND METHODS: The JAK2 mutation was investigated with a qualitative method in 115 consecutive outpatients with a diagnosis of essential thrombocythaemia made according to WHO 2001 criteria. In 48/115 (41.7%) the allele burden was also evaluated with two different qualitative methods, of which one was a method developed in-house and the other was a commercially available method. RESULTS: The JAK2(V617F) mutation was detected by the qualitative method in 81/115 (69.6%) of the patients. Among the 48/115 patients in whom all three methods were applied, the qualitative method detected the mutation in 38 (79%). According to the quantitative method developed in-house, the mutation was present in 35/48 (73%) of the patients: of these, 2/35 (5.7%) patients were homozygous for the JAK2(V617F) mutation. The commercial quantitative method showed the mutation in 37/48 (77%) patients: of these, 9/37 (18%) patients were homozygous. Three of the 13 patients in whom no mutation was detected by the in-house method were positive for the JAK2(V617F) according to the commercial method. In one patient the search for the JAK2(V617F) mutation was positive with the in-house method but negative with the commercial kit. CONCLUSION: Detection of the JAK2(V617F) mutation may depend on the molecular technique used. Considering that detection of this mutation will not only have a diagnostic value, but also a role in treatment given the development of JAK2(V617F) pathway inhibiting drugs, indications on a reference molecular diagnostic technique for JAK2(V617F) assessment and quantification of its allele burden from a panel of experts are warranted.
Authors: Marko Pesu; Arian Laurence; Nandini Kishore; Samuel H Zwillich; Gary Chan; John J O'Shea Journal: Immunol Rev Date: 2008-06 Impact factor: 12.988
Authors: Linda M Scott; Peter J Campbell; E Joanna Baxter; Tony Todd; Philip Stephens; Sarah Edkins; Richard Wooster; Michael R Stratton; P Andrew Futreal; Anthony R Green Journal: Blood Date: 2005-10-15 Impact factor: 22.113
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Authors: Ross L Levine; Martha Wadleigh; Jan Cools; Benjamin L Ebert; Gerlinde Wernig; Brian J P Huntly; Titus J Boggon; Iwona Wlodarska; Jennifer J Clark; Sandra Moore; Jennifer Adelsperger; Sumin Koo; Jeffrey C Lee; Stacey Gabriel; Thomas Mercher; Alan D'Andrea; Stefan Fröhling; Konstanze Döhner; Peter Marynen; Peter Vandenberghe; Ruben A Mesa; Ayalew Tefferi; James D Griffin; Michael J Eck; William R Sellers; Matthew Meyerson; Todd R Golub; Stephanie J Lee; D Gary Gilliland Journal: Cancer Cell Date: 2005-04 Impact factor: 31.743
Authors: Amy V Jones; Sebastian Kreil; Katerina Zoi; Katherine Waghorn; Claire Curtis; Lingyan Zhang; Joannah Score; Rachel Seear; Andrew J Chase; Francis H Grand; Helen White; Christine Zoi; Dimitris Loukopoulos; Evangelos Terpos; Elisavet-Christine Vervessou; Beate Schultheis; Michael Emig; Thomas Ernst; Eva Lengfelder; Rüdiger Hehlmann; Andreas Hochhaus; David Oscier; Richard T Silver; Andreas Reiter; Nicholas C P Cross Journal: Blood Date: 2005-05-26 Impact factor: 22.113
Authors: David P Steensma; Gordon W Dewald; Terra L Lasho; Heather L Powell; Rebecca F McClure; Ross L Levine; D Gary Gilliland; Ayalew Tefferi Journal: Blood Date: 2005-04-28 Impact factor: 22.113
Authors: E Joanna Baxter; Linda M Scott; Peter J Campbell; Clare East; Nasios Fourouclas; Soheila Swanton; George S Vassiliou; Anthony J Bench; Elaine M Boyd; Natasha Curtin; Mike A Scott; Wendy N Erber; Anthony R Green Journal: Lancet Date: 2005 Mar 19-25 Impact factor: 79.321