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Human Cancer Biology

Transcriptional Profiling of Polycythemia Vera Identifies Gene Expression Patterns Both Dependent and Independent from the Action of JAK2V617F

Windy Berkofsky-Fessler, Monica Buzzai, Marianne K-H. Kim, Steven Fruchtman, Vesna Najfeld, Dong-Joon Min, Fabricio F. Costa, Jared M. Bischof, Marcelo B. Soares, Melanie Jane McConnell, Weijia Zhang, Ross Levine, D. Gary Gilliland, Raffaele Calogero and Jonathan D. Licht
Windy Berkofsky-Fessler
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Monica Buzzai
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Marianne K-H. Kim
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Steven Fruchtman
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Vesna Najfeld
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Dong-Joon Min
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Fabricio F. Costa
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Jared M. Bischof
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Marcelo B. Soares
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Melanie Jane McConnell
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Weijia Zhang
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Ross Levine
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D. Gary Gilliland
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Raffaele Calogero
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Jonathan D. Licht
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DOI: 10.1158/1078-0432.CCR-10-1092 Published September 2010
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    Fig. 1.

    A, venn diagram showing probe sets identified by GeneSpring GX analysis with a cut off of FC ≥ 2 (P < 0.05) after either RMA or GC-RMA normalization and by rank product analysis. B, supervised hierarchical clustering using Eucledian distance for 23 genes differentially expressed (P < 0.05) in PV CD34+ cells compared with controls cells as identified by oligonucleotide microarray and verified by TLDAs between normal and PV samples. Red, upregulated genes; green, downregulated genes.

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    Fig. 2.

    A, erythroid differentiation of CD34+ cells transduced with JAK2. Fluorescence-activated cell sorting analysis for GpA and CD71 cell surface antigenes was done at 10 d posttransduction with WT JAK2, JAK2V617F, or Tel-JAK2. Cells were grown in full erythroid media +/− EPO or maintenance media. The experiment was repeated thrice with similar results obtained. B, cells were grown in methylcellulose containing or lacking EPO for 12 d after transduction with the indicated JAK2 allele. The average (±SEM) of erythroid or myeloid colonies was determined from counts of eight replicate plates of cells. Statistical significance was calculated (Student's t test) comparing JAK2V617F and JAK2wt. The experiment was repeated thrice with similar results obtained.

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    Fig. 3.

    A, venn diagram showing the overlap between the set of genes found differentially expressed in CD34+ cells transduced with WT JAK2 when compared with control cells and in cells transduced with JAK2V617F when compared with controls. B, hierarchical clustering of the genes differentially expressed in cells transduced with either JAK2 or JAK2V617F when compared with untransduced cells: genes found in common (left), genes specific to JAK2 (middle), genes specific to JAK2V617F (right).

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    Fig. 4.

    A, expression of WT1, BCL6, and FLT3 mRNA in HEL and UKE-1 cells (mutant JAK2) and K562 (wt JAK2; BCR/ABL positive) as measured by reverse transcription-PCR, at 24 h posttreatment with 1 or 2 μmol/L JAK inhibitor I. B, expression levels of EVI1, SEPT6 after treatment as in A.

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    Fig. 5.

    A, cross-classification plots generated by prediction analysis for microarrays R software (16) for PV versus normal and ET versus normal specimens. Red and green dots, the specimens analyzed with different list of genes: the JAK2 inhibition signature, JAK2 overexpression signature, and PV signature. B, venn diagram showing the relationship between the PV expression signature, genes regulated in response to JAK2 overexpression in CD34+ cells, and genes regulated in JAK2V617F harboring cell lines treated with JAK inhibitor. The 287 probe sets remaining from the PV signature can still be used to distinguish PV from normal specimens. C and D, the GSE3410 data set (C) and GSE9827 (D) were imported onto GeneSpring GX11, and both JAK2-dependent and JAK2-independent gene sets were used to classify samples by unsupervised hierarchical clustering.

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  • Table 1.

    JAK2-dependent and JAK2-independent gene sets

    NameAffymetrix IDLog ratio (normal/PV)PEntrez gene ID
    A. JAK2-dependent PV signature genes*
        AIM1212543_at2.60.021202
        ANXA5200782_at2.30.0424308
        BACH2221234_s_at3.70.000760468
        BCL6203140_at3.90.0003604
        BLNK207655_s_at4.3029760
        GALNAC4S-6ST203066_at3.70.000951363
        HLA-DMB203932_at2.50.02573109
        IRF8204057_at4.603394
        KLF4221841_s_at2.20.04859314
        LOC100133941266_s_at30.007100133941
        LY86205859_at2.40.0369450
        PLAC8219014_at3.40.002351316
        RNASE6213566_at2.50.02336039
        TIPARP212665_at2.50.025325976
    B. JAK2-independent PV signature genes†
        DEFA1205033_s_at−2.301667
        MCL1214057_at1.50.00014170
        P2RY14206637_at1.709934
        C13orf15218723_s_at2028984
        INHBC207688_s_at1.60.00013626
        SAMHD1204502_at1.40.000325939
        ARL4C202207_at1.50.000210123
        TGFB1201506_at1.507045
        DEFA4207269_at−1.601669
        ILF2200052_s_at1.10.01643608
        SNRPE215450_at1.40.00066635
        YBX1208627_s_at1.20.0064904
    • ↵*A set of 14 genes common in the PV and cell line data sets, which distinguish normal specimens and PV with high efficiency.

    • ↵†A set of 12 genes derived from the PV expression signature, from which JAK2 regulated genes were subtracted, which distinguish normal specimens and PV with high efficiency.

Additional Files

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    Supplementary Figures S1-S2 and Supplementary Tables S1-S9.

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    • Supplementary Figure S1 - Supplementary Figure S1.
    • Supplementary Figure S2 - Supplementary Figure S2.
    • Supplementary Legends - Supplementary Legends.
    • Supplementary Table S5 - Supplementary Table S5.
    • Supplementary Table S6 - Supplementary Table S6.
    • Supplementary Table S7 - Supplementary Table S7.
    • Supplementary Table S8 - Supplementary Table S8.
    • Supplementary Table S9 - Supplementary Table S9.
    • Supplementary Table S1 - Supplementary Table S1.
    • Supplementary Table S2 - Supplementary Table S2.
    • Supplementary Table S3 - Supplementary Table S3.
    • Supplementary Table S4 - Supplementary Table S4.
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Clinical Cancer Research: 16 (17)
September 2010
Volume 16, Issue 17
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Transcriptional Profiling of Polycythemia Vera Identifies Gene Expression Patterns Both Dependent and Independent from the Action of JAK2V617F
Windy Berkofsky-Fessler, Monica Buzzai, Marianne K-H. Kim, Steven Fruchtman, Vesna Najfeld, Dong-Joon Min, Fabricio F. Costa, Jared M. Bischof, Marcelo B. Soares, Melanie Jane McConnell, Weijia Zhang, Ross Levine, D. Gary Gilliland, Raffaele Calogero and Jonathan D. Licht
Clin Cancer Res September 1 2010 (16) (17) 4339-4352; DOI: 10.1158/1078-0432.CCR-10-1092

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Transcriptional Profiling of Polycythemia Vera Identifies Gene Expression Patterns Both Dependent and Independent from the Action of JAK2V617F
Windy Berkofsky-Fessler, Monica Buzzai, Marianne K-H. Kim, Steven Fruchtman, Vesna Najfeld, Dong-Joon Min, Fabricio F. Costa, Jared M. Bischof, Marcelo B. Soares, Melanie Jane McConnell, Weijia Zhang, Ross Levine, D. Gary Gilliland, Raffaele Calogero and Jonathan D. Licht
Clin Cancer Res September 1 2010 (16) (17) 4339-4352; DOI: 10.1158/1078-0432.CCR-10-1092
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