W Kern

Comprehensive genetic characterization of CLL : a study on 506 cases analysed with chromosome banding analysis, interphase FISH, IgVH status and immunophenotyping

In CLL data from chromosome banding analysis (CBA) have been scarce due to the low proliferative activity of CLL cells in vitro. We improved the cultivation technique using an immunostimulatory CpG-oligonucleotide DSP30 and IL-2. A total of 506 CLL samples were analysed with CBA and interphase FISH using probes for the detection of trisomy 12, IgH rearrangements and deletions of 6q21, 11q22.3 (ATM), 13q14 (D13S25 and D13S319) and 17p13 (TP53). A total of 500 of 506 (98.8%) cases were successfully stimulated for metaphase generation and are subject to this study. Aberrations were detected in 415 of 500 (83.0%) cases by CBA and in 392 of 500 (78.4%) cases by FISH. CBA detected 832 abnormalities and FISH only 502. Therefore, CBA offers important information in addition to FISH. (1) CLL is characterized mainly by genomic imbalances and reciprocal translocations are rare. (2) A subgroup with complex aberrant karyotype (16.4%) is identified which is associated with an unmutated IgVH status and CD38 expression (P=0.034 and 0.02, respectively). (3) Additional abnormalities are detectable providing new biological insights into different CLL subclasses revealing a much more heterogeneous pattern of cytogenetic abnormalities as assumed so far based on FISH data only. Therefore, prospective clinical trials should evaluate the prognostic impact of newly available CBA data.

The detection of TP53 mutations in chronic lymphocytic leukemia independently predicts rapid disease progression and is highly correlated with a complex aberrant karyotype.

The poor prognosis of chronic lymphocytic leukemia (CLL) patients with del (17p) is well established. We analyzed whether mutation of TP53 on the remaining allele adds to the poor prognosis or whether even TP53 mutation alone may be an adverse prognostic factor. We analyzed TP53 mutations in 193 CLL patients by denaturing high performance liquid chromatography in combination with direct DNA sequencing and a TP53 resequencing research microarray. Mutations were correlated to chromosomal aberrations defined by interphase fluorescent in situ hybridization and chromosome banding analyses and to the clinical course of patients. TP53 mutations were detected in 13.5% (26 of 193) of samples, whereas the incidence of del (17p) was 9.3% (18 of 193). TP53 mutations were significantly associated with del (17p) (concordance 94%, P<0.001) and complex cytogenetic abnormalities (concordance 50%, P<0.001). Among 147 patients whose clinical data were available, patients with TP53 abnormalities (n=20) had a significantly decreased time to treatment compared to patients without TP53 aberration (P<0.001). Median time to treatment was short in patients with isolated TP53 mutation (n=6, 2.0 months) and in those with del (17p) (n=14, 21.3 months) as compared to patients without TP53 aberration (n=127, 64.9 months, P<0.001). In multivariate Cox regression analysis, VH status, TP53 mutations and also isolated TP53 mutations independently predicted rapid disease progression.

Prognostic impact of RT-PCR-based quantification of WT1 gene expression during MRD monitoring of acute myeloid leukemia.

In search for general PCR targets for minimal residual disease (MRD) studies in acute myeloid leukemia (AML), Wilms tumor gene 1 (WT1) expression was assessed by real-time RT-PCR relative to the control gene ABL in 569 archived samples of AML patients (pts). Pts were analyzed at diagnosis (n=116) and during follow-up (n=105, median 4 times, range 2–17). Median follow-up time was 258 days (range 16–1578 days). In 66 pts, the WT1 expression was analyzed in comparison to a second PCR marker or to multiparameter flow cytometry. Quantitative WT1 levels correlated to the clinical course or a second marker in 83–96% of the cases. Prognostic significance of WT1 levels was analyzed at diagnosis and three intervals: (1) days 16–60, (2) days 61–120, and (3) days 121–180 after start of chemotherapy. Higher levels of WT1 expression were associated with shorter overall survival (OS) and event-free survival (EFS) within intervals 2 and 3 but not at diagnosis or interval 1. In addition, within these intervals, WT1/ABL levels ⩽0.4% were associated with improved OS and EFS. An increase of WT1 levels was detected in 16/44 cases, which subsequently relapsed within a median of 38 days (range 8–180 days). In conclusion, quantification of WT1 may be used for MRD studies and for prognostification in AML.

SF3B1 mutations correlated to cytogenetics and mutations in NOTCH1, FBXW7, MYD88, XPO1 and TP53 in 1160 untreated CLL patients.

We analyzed a large cohort of 1160 untreated CLL patients for novel genetic markers (SF3B1, NOTCH1, FBXW7, MYD88, XPO1) in the context of molecular, immunophenotypic and cytogenetic data. NOTCH1 mutations (mut) (12.3%), SF3B1mut (9.0%) and TP53mut (7.1%) were more frequent than XPO1mut (3.4%), FBXW7mut (2.5%) and MYD88mut (1.5%). SF3B1mut, NOTCH1mut, TP53mut and XPO1mut were highly correlated to unmutated, whereas MYD88mut were associated with mutated IGHV status. Associations of diverse cytogenetic aberrations and mutations emerged: (1) SF3B1mut with del(11q), (2) NOTCH1mut and FBXW7mut with trisomy 12 and nearly exclusiveness of SF3B1mut, (3) MYD88mut with del(13q) sole and low frequencies of SF3B1mut, NOTCH1mut and FBXW7mut. In patients with normal karyotype only SF3B1mut were frequent, whereas NOTCH1mut rarely occurred. An adverse prognostic impact on time to treatment (TTT) and overall survival (OS) was observed for SF3B1mut, NOTCH1mut and TP53 disruption. In multivariate analyses SF3B1mut, IGHV mutational status and del(11q) were the only independent genetic markers for TTT, whereas for OS SF3B1mut, IGHV mutational status and TP53 disruption presented with significant impact. Finally, our data suggest that analysis of gene mutations refines the risk stratification of cytogenetic prognostic subgroups and confirms data of a recently proposed model integrating molecular and cytogenetic data.

Landscape of TET2 mutations in acute myeloid leukemia.

We investigated ten–eleven translocation 2 (TET2) mutations in acute myeloid leukemia (AML), their correlation with other gene mutations and prognostic value. By deep-sequencing, 131 somatic TET2 mutations were identified in 87/318 (27.4%) patients. Of 87 mutated cases, 44 (50.6%) carried two mutations. TET2 mutations were concomitantly observed with mutations in NPM1, FLT3-ITD, FLT3-TKD, JAK2, RUNX1, CEBPA, CBL and KRAS. However, TET2 mutations rarely concomitantly occurred with IDH1mut or IDH2mut (2/251 or 0/184; P=0.046 and P=0.003, respectively). TET2 mutations were associated with normal karyotype AML (CN-AML) (62/206 (30.1%) CN-AML vs 20/107 (18.7%) aberrant karyotype; P=0.031), higher white blood cell count (mean 65.3 vs 40.3 × 109/l, P=0.023), lower platelet count (mean 68.6 vs 92.4 × 109/l, P=0.03) and higher age (67.5 vs 65.2 years, P<0.001). Survival analyses were restricted to de novo CN-AML patients (n=165) and showed inferior event-free survival (EFS) of TET2 mutations compared with TET2wt (median: 6.7 vs 18.7 months, P=0.009). This negative effect of TET2 mutation on EFS was particularly observed in patients ⩽65 years (median: 8.9 months vs not reached (n.r.), P=0.027) as well as in patients of the European LeukemiaNet favorable-risk subgroup, that is, patients harboring mutated CEBPA and/or mutated NPM1 without FLT3-ITD (median: 10.3 vs 41.3 months, P=0.048). These data support a role for TET2 as an important prognostic biomarker in AML.

Pediatric acute lymphoblastic leukemia (ALL) gene expression signatures classify an independent cohort of adult ALL patients.

Recent reports support a possible future application of gene expression profiling for the diagnosis of leukemias. However, the robustness of subtype-specific gene expression signatures has to be proven on independent patient samples. Here, we present gene expression data of 34 adult acute lymphoblastic leukemia (ALL) patients (Affymetrix U133A microarrays). Support Vector Machines (SVMs) were applied to stratify our samples based on given gene lists reported to predict MLL, BCR-ABL, and T-ALL, as well as MLL and non-MLL gene rearrangement positive pediatric ALL. In addition, seven other B-precursor ALL cases not bearing t(9;22) or t(11q23)/MLL chromosomal aberrations were analyzed. Using top differentially expressed genes, hierarchical cluster and principal component analyses demonstrate that the genetically more heterogeneous B-precursor ALL samples intercalate with BCR-ABL-positive cases, but were clearly distinct from T-ALL and MLL profiles. Similar expression signatures were observed for both heterogeneous B-precursor ALL and for BCR-ABL-positive cases. As an unrelated laboratory, we demonstrate that gene signatures defined for childhood ALL were also capable of stratifying distinct subtypes in our cohort of adult ALL patients. As such, previously reported gene expression patterns identified by microarray technology are validated and confirmed on truly independent leukemia patient samples.

Mutation analysis for RUNX1 , MLL -PTD, FLT3 -ITD, NPM1 and NRAS in 269 patients with MDS or secondary AML

Mutation analysis for RUNX1 , MLL -PTD, FLT3 -ITD, NPM1 and NRAS in 269 patients with MDS or secondary AML

SETBP1 mutations occur in 9% of MDS/MPN and in 4% of MPN cases and are strongly associated with atypical CML, monosomy 7, isochromosome i(17)(q10), ASXL1 and CBL mutations.

Chronic myeloid malignancies are categorized to the three main categories myeloproliferative neoplasms (MPNs), myelodysplastic syndromes (MDSs) and MDS/MPN overlap. So far, no specific genetic alteration profiles have been identified in the MDS/MPN overlap category. Recent studies identified mutations in SET-binding protein 1 (SETBP1) as novel marker in myeloid malignancies, especially in atypical chronic myeloid leukemia (aCML) and related diseases. We analyzed SETBP1 in 1u2009130 patients with MPN and MDS/MPN overlap and found mutation frequencies of 3.8% and 9.4%, respectively. In particular, there was a high frequency of SETBP1 mutation in aCML (19/60; 31.7%) and MDS/MPN unclassifiable (MDS/MPN, U; 20/240; 9.3%). SETBP1 mutated (SETBP1mut) patients showed significantly higher white blood cell counts and lower platelet counts and hemoglobin levels than SETBP1 wild-type patients. Cytomorphologic evaluation revealed a more dysplastic phenotype in SETBP1mut cases as compared with wild-type cases. We confirm a significant association of SETBP1mut with −7 and isochromosome i(17)(q10). Moreover, SETBP1mut were strongly associated with ASXL1 and CBL mutations (P<0.001 for both) and were mutually exclusive of JAK2 and TET2 mutations. In conclusion, SETBP1mut add an important new diagnostic marker for MDS/MPN and in particular for aCML.

Report on two novel nucleotide exchanges in the JAK2 pseudokinase domain: D620E and E627E

Report on two novel nucleotide exchanges in the JAK2 pseudokinase domain: D620E and E627E

New insights into MLL gene rearranged acute leukemias using gene expression profiling: shared pathways, lineage commitment, and partner genes

Rearrangements of the MLL gene occur in both acute lymphoblastic and acute myeloid leukemias (ALL, AML). This study addressed the global gene expression pattern of these two leukemia subtypes with respect to common deregulated pathways and lineage-associated differences. We analyzed 73 t(11q23)/MLL leukemias in comparison to 290 other acute leukemias and demonstrate that 11q23 leukemias combined are characterized by a common specific gene expression signature. Additionally, in unsupervised and supervised data analysis algorithms, ALL and AML cases with t(11q23) segregate according to the lineage they are derived from, that is, myeloid or lymphoid, respectively. This segregation can be explained by a highly differing transcriptional program. Through the use of novel biological network analyses, essential regulators of early B cell development, PAX5 and EBF, were shown to be associated with a clear B-lineage commitment in lymphoblastic t(11q23)/MLL leukemias. Also, the influence of the different MLL translocation partners on the transcriptional program was directly assessed. Interestingly, gene expression profiling did not reveal a clear distinct pattern associated with one of the analyzed partner genes. Taken together, the identified molecular expression pattern of MLL fusion gene samples and biological networks revealed new insights into the aberrant transcriptional program in 11q23/MLL leukemias.