BACKGROUND: Besides essential thrombocythemia (ET), polycythemia vera (PV) and primary myelofibrosis (PMF) the myeloproliferative neoplasms (MPN) defined by the World Health Organization (WHO) comprise the entity of unclassifiable MPNs (MPN, U). The exact differential diagnosis of the specific MPN entities can be challenging particularly at early stages of the diseases. So far, pathologists have had to rely only on histomorphological evaluation of bone marrow biopsies in combination with laboratory data because helpful ancillary tests are not yet available. Even molecular tests, such as JAK2 mutation analysis are not helpful particularly in the differential diagnosis of ET and PMF because both entities are associated with the V617F mutation in 50 % of the cases. Recently overexpression of the transcription factor NF-E2 in MPN was described. MATERIALS AND METHODS: A collective of samples consisting of 163 bone marrow biopsies including 139 MPN cases was stained immunohistochemically for NF-E2 and analyzed regarding the subcellular localization of NF-E2 in erythroid progenitor cells. The results were compared between the MPN entities as well as the controls and statistical analyses were conducted. RESULTS AND DISCUSSION: This study showed that NF-E2 immunohistochemistry and analysis of the proportion of nuclear positive erythroblasts of all erythroid precursor cells can help to distinguish between ET and PMF even in early stages of the diseases. An MPN, U case showing a proportion of more than 20 % nuclear positive erythroblasts can be classified as a PMF with 92 % accuracy.
BACKGROUND: Besides essential thrombocythemia (ET), polycythemia vera (PV) and primary myelofibrosis (PMF) the myeloproliferative neoplasms (MPN) defined by the World Health Organization (WHO) comprise the entity of unclassifiable MPNs (MPN, U). The exact differential diagnosis of the specific MPN entities can be challenging particularly at early stages of the diseases. So far, pathologists have had to rely only on histomorphological evaluation of bone marrow biopsies in combination with laboratory data because helpful ancillary tests are not yet available. Even molecular tests, such as JAK2 mutation analysis are not helpful particularly in the differential diagnosis of ET and PMF because both entities are associated with the V617F mutation in 50 % of the cases. Recently overexpression of the transcription factor NF-E2 in MPN was described. MATERIALS AND METHODS: A collective of samples consisting of 163 bone marrow biopsies including 139 MPN cases was stained immunohistochemically for NF-E2 and analyzed regarding the subcellular localization of NF-E2 in erythroid progenitor cells. The results were compared between the MPN entities as well as the controls and statistical analyses were conducted. RESULTS AND DISCUSSION: This study showed that NF-E2 immunohistochemistry and analysis of the proportion of nuclear positive erythroblasts of all erythroid precursor cells can help to distinguish between ET and PMF even in early stages of the diseases. An MPN, U case showing a proportion of more than 20 % nuclear positive erythroblasts can be classified as a PMF with 92 % accuracy.
Authors: Juergen Thiele; Hans Michael Kvasnicka; James W Vardiman; Attilio Orazi; Vito Franco; Heinz Gisslinger; Gunnar Birgegard; Martin Griesshammer; Ayalew Tefferi Journal: J Clin Oncol Date: 2009-10-26 Impact factor: 44.544
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: Bridget S Wilkins; Wendy N Erber; David Bareford; Georgina Buck; Keith Wheatley; Clare L East; Beverley Paul; Claire N Harrison; Anthony R Green; Peter J Campbell Journal: Blood Date: 2007-09-20 Impact factor: 22.113
Authors: Kai B Kaufmann; Albert Gründer; Tobias Hadlich; Julius Wehrle; Monika Gothwal; Ruzhica Bogeska; Thalia S Seeger; Sarah Kayser; Kien-Binh Pham; Jonas S Jutzi; Lucas Ganzenmüller; Doris Steinemann; Brigitte Schlegelberger; Julia M Wagner; Manfred Jung; Britta Will; Ulrich Steidl; Konrad Aumann; Martin Werner; Thomas Günther; Roland Schüle; Alessandro Rambaldi; Heike L Pahl Journal: J Exp Med Date: 2012-01-09 Impact factor: 14.307