2007
DOI: 10.1038/sj.leu.2404877
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Combined single nucleotide polymorphism-based genomic mapping and global gene expression profiling identifies novel chromosomal imbalances, mechanisms and candidate genes important in the pathogenesis of T-cell prolymphocytic leukemia with inv(14)(q11q32)

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Cited by 95 publications
(88 citation statements)
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“…27 In human T-cell prolymphocytic leukemia, SIX1 is found to be significantly overexpressed in comparison to normal T cells. 36 A role for these genes in carcinogenesis is also supported by previous reports which showed overexpression of both SIX1 and EYA1 in cancers of the lung, breast, prostate, cervix, and kidney (Rhodes et al 28 and supplemental Figure 9). Similarly, overexpression of HOXA9 and MEIS1 is not limited to MLLrearranged leukemias.…”
Section: Key Target Genes In Mll-rearranged Leukemiasupporting
confidence: 58%
“…27 In human T-cell prolymphocytic leukemia, SIX1 is found to be significantly overexpressed in comparison to normal T cells. 36 A role for these genes in carcinogenesis is also supported by previous reports which showed overexpression of both SIX1 and EYA1 in cancers of the lung, breast, prostate, cervix, and kidney (Rhodes et al 28 and supplemental Figure 9). Similarly, overexpression of HOXA9 and MEIS1 is not limited to MLLrearranged leukemias.…”
Section: Key Target Genes In Mll-rearranged Leukemiasupporting
confidence: 58%
“…Overexpression of STEAP1 was also found in primary effusion lymphoma compared to normal B cells (P = 3.1E-5) [31] and in various leukemia compared to normal bone marrow: T-cell acute lymphoblastic leukemia (P = 5.6E-9) [32], acute myeloid leukemia (P = 5.6E-9) [32]; B-cell acute lymphoblastic leukemia (P = 8.3E-12) [32]; and T-cell prolymphocytic leukemia (P = 5.1E-7) [33].…”
Section: Resultsmentioning
confidence: 98%
“…This approach of combining copy number and gene expression data has been successful in other indications (7,9,11,35); the impact of copy number on gene expression pattern shows generally more dramatic effects in the case of high-level copy number increase, whereas low-level copy number gains and losses, although have significant influence on expression of genes in the regions affected, display more subtle effects on a gene-by-gene basis (24,36). Therefore, we applied stringent parameters of statistical significance to identify genes whose differential expression is more likely to be attributable to underlying low-level gene copy number changes; this led to the identification of 113 genes differentially expressed in regions of genomic gain and loss.…”
Section: Discussionmentioning
confidence: 99%