TY - JOUR
T1 - Gene expression profiling distinguishes JAK2V617F-negative from JAK2V617F-positive patients in essential thrombocythemia
AU - Puigdecanet, E.
AU - Espinet, B.
AU - Lozano, J. J.
AU - Sumoy, L.
AU - Bellosillo, B.
AU - Arenillas, L.
AU - Álvarez-Larrán, A.
AU - Solé, F.
AU - Serrano, S.
AU - Besses, C.
AU - Florensa, L.
PY - 2008/1/1
Y1 - 2008/1/1
N2 - To explore the gene expression signature in essential thrombocythemia (ET) patients in relation to JAK2V617F mutational status, expression profiling in circulating granulocytes was performed. Twenty ET were studied by microarray analysis and the results were confirmed by real-time quantitative RT-PCR in 40 ET patients, not receiving cytoreductive treatment. A heterogeneous molecular signature characterized by two main gene expression patterns was found: one with an upregulation of inflammatory genes related to neutrophil activation and thrombosis, and the other with significantly lower expression of these genes. Supervised clustering analysis showed 30 genes differentially expressed between JAK2V617F-negative and JAK2V617F-positive ET patients. Among the JAK2V617F-negative, a set of 14 genes (CISH, C13orf18, CCL3, PIM1, MAFF, SOCS3, ID2, GADD45B, KLF5, TNF, LAMB3, HRH4, TAGAP and TRIB1) showed an abnormal expression pattern. In this group of patients, CISH, SOCS2, SOCS3 and PIM1 genes, all involved in JAK-STAT signalling pathway, presented a lower expression. A two-gene predictor model was built comprising FOSB and CISH genes, which were the best discriminators of JAK2V617F status. In conclusion, JAK2V617F-negative ET patients present a characteristic gene expression profile, different from JAK2V617F-positive patients. Other pathways, besides JAK-STAT, might be implicated in the pathophysiology of JAK2V617F-negative ET patients.
AB - To explore the gene expression signature in essential thrombocythemia (ET) patients in relation to JAK2V617F mutational status, expression profiling in circulating granulocytes was performed. Twenty ET were studied by microarray analysis and the results were confirmed by real-time quantitative RT-PCR in 40 ET patients, not receiving cytoreductive treatment. A heterogeneous molecular signature characterized by two main gene expression patterns was found: one with an upregulation of inflammatory genes related to neutrophil activation and thrombosis, and the other with significantly lower expression of these genes. Supervised clustering analysis showed 30 genes differentially expressed between JAK2V617F-negative and JAK2V617F-positive ET patients. Among the JAK2V617F-negative, a set of 14 genes (CISH, C13orf18, CCL3, PIM1, MAFF, SOCS3, ID2, GADD45B, KLF5, TNF, LAMB3, HRH4, TAGAP and TRIB1) showed an abnormal expression pattern. In this group of patients, CISH, SOCS2, SOCS3 and PIM1 genes, all involved in JAK-STAT signalling pathway, presented a lower expression. A two-gene predictor model was built comprising FOSB and CISH genes, which were the best discriminators of JAK2V617F status. In conclusion, JAK2V617F-negative ET patients present a characteristic gene expression profile, different from JAK2V617F-positive patients. Other pathways, besides JAK-STAT, might be implicated in the pathophysiology of JAK2V617F-negative ET patients.
U2 - 10.1038/leu.2008.112
DO - 10.1038/leu.2008.112
M3 - Article
VL - 22
SP - 1368
EP - 1376
JO - Leukemia
JF - Leukemia
SN - 0887-6924
IS - 7
ER -