ALBERT

Description: MicroRNAs (miRNAs) are single stranded non-coding RNAs of ∼ 22 nucleotides involved in gene regulation. Several examples of an association between disrupted expression of miRNAs and cancer have been shown. Using a real-time quantitative PCR, designed to amplify only from the mature miRNA (TaqMan® -MicroRNA Looped-PCR assay, Applied Biosystems), we measured the expression levels of 157 miRNAs in 100 acute myeloid leukaemia (AML) patients representing the spectrum of known karyotypes common in AML, 2 leukaemic cell lines (KG1 and NB4), and the bone marrow from 2 healthy donors. ANOVA analysis using a 5% false discovery rate threshold was performed to identify differentially expressed miRNAs between leukaemia samples and normal bone marrow. MiRNAs specific to karyotype groupings were also identified in the same way. A method was developed to demonstrate the spatial localisation, in situ, of specific miRNA identified in the quantification and confirm the expression of miRNA with relation to karyotype. Commercial locked nucleic acid (LNA) oligonucleotides (Exiqon) were obtained for two miRNAs (miRNA-127 and miRNA-154), as well as for positive and negative control probes. LNAs were labelled with digoxigenin and probes applied to both cytospins and/or trephines of a sample set representative of the different AML subtypes. Detection of hybridisation signals was either by colorimetric or fluorescent reaction and visualised by confocal microscopy. Unsupervised cluster analysis revealed an association of miRNA expression with the karyotype of the samples. Promyelocytic leukaemias (APML) bearing the t(15;17) translocation, show a distinct pattern characterised by the high expression of a subset of 10 miRNAs located in the human 14q32 imprinted domain, including miR-127 and miR-154. ANOVA data analysis revealed the de-regulation of 33 miRNAs across the leukaemic set in respect to bone marrow from healthy donors. Seventeen miRNAs were up-regulated and 16 down-regulated. MiRNAs miR-155, miR-181a, miR-181b, miR-181c, miR-142-5p, miR-221, and miR-222, were among those commonly highly expressed. Down-regulated were miR-26a, miR-34c, and miR-199a. MiRNAs miR-10a and miR-125b showed the highest variability throughout the samples, being associated with specific subgroups. In situ hybridisation analysis of miR-127 and miR-154 confirmed the results obtained by real-time PCR of their expression associated with APML. This study, conducted on about a third of the miRNAs reported in the Sanger database (microrna.sanger.ac.uk), demonstrates the potential for using miRNA expression to sub-classify cancer. The expression analysis of larger number of miRNAs coupled with the in situ hybridisation of leukaemic cells will allow the investigation of miRNA expression on stored samples during the disease course and provide valuable insights into the leukaemogenic process.

Description: The recent discovery of acquired uniparental disomy (aUPD) in acute myeloid leukemia (AML) has been linked to homozygosity for mutations in certain genes (Raghavan et al, Cancer Res. 2005, Fitzgibbon et al, Cancer Res. 2005). Although this phenomenon, which is undetectable by conventional cytogenetics, has been confirmed in subsequent small-scale studies, its extent and frequency remains uncertain. To determine the frequency and distribution of aUPD, DNA samples from 455 young adult AML patients entered in the UK Medical Research Council AML10 trial were analyzed using Mapping 10K 2.0 single nucleotide polymorphism (SNP) arrays (Affymetrix Inc.). Genomic DNA from blood samples of ten non-leukemic individuals was used as control to estimate the copy number values (control set I). We defined aUPD as 50 consecutive homozygous markers but allowed 2 heterozygous calls to accommodate contaminating normal tissue. Using this criterion a false positive rate of 3.3% was calculated from an available data of 90 independent controls (control set I). Overall, 120 regions of UPD were observed in 79 AML cases (17%), 87% of which involved at least one breakpoint, i.e. resulted from mitotic recombination, and 13% were whole chromosome aUPDs arising from chromosomal non-disjunction. They were the sole aberration, as detected by SNP arrays, in 61 samples (13%), and 84% of these had only a single region of aUPD. There was a non-random distribution across chromosomes; 13q (n=18 cases), 11p (n=8) and 11q (n=9) were the most frequently affected. Other chromosomes with regions of recurrent aUPD were 2p (n=7), 2q (n=6), 1p (n=5), 19q (n=4), 17q12–q21.2 (n=4), 21q (n=4), 9p (n=3), Xq (n=3), 6p (n=2), and 17p (n=2). Acquired UPDs were observed across all cytogenetic risk groups: in 25% of adverse risk patients, 11% of favorable risk, 19% of normal karyotype and 10% of the remaining intermediate risk patients. Samples with aUPD13q (5% of samples) belonged exclusively to the intermediate risk group. Chromosome 13 was the only chromosome to show recurrent whole chromosome aUPD. Fifteen samples with aUPD13q covered the region of the FLT3 gene at 13q12.2; all 15 had a FLT3-internal tandem duplication (ITD) and all cases with a high FLT3-ITD mutant level 〉 50% of total had 13q aUPD. Gains and losses were observed in 12% and 14% of the samples respectively. As expected, gains on chromosome 8 and losses on chromosomes 5 and 7 were common, confirming the general utility of this approach. No homozygous losses were observed. Comparison of arrays with cytogenetic analysis showed that additional information (aUPDs and/or copy number changes) was obtained in 23% of cases with a normal karyotype and 38% of cases without available cytogenetics. This study highlights the importance of aUPD in the development of AML and pinpoints regions that may contain novel mutational targets.

Description: Acquired homozygosity in the form of segmental acquired uniparental disomy (aUPD) has been described in follicular lymphoma (FL) and is usually due to mitotic recombination. SNP array analysis was performed with the use of the Affymetrix 10K 2.0 Gene-chip array on DNA from 185 diagnostic FL patients to assess the prognostic relevance of aUPD. Genetic abnormalities were detected in 118 (65%) of 182 patients. Number of abnormalities was predictive of outcome; more than 3 abnormalities was associated with inferior overall survival (OS; P 〈 .03). Sites of recurrent aUPD were detected on 6p (n = 25), 16p (n = 22), 12q (n = 17), 1p36 (n = 14), 10q (n = 8), and 6q (n = 8). On multivariate analysis aUPD on 1p36 correlated with shorter OS (P = .05). aUPD on 16p was predictive of transformation (P = .03) and correlated with poorer progression-free survival (P = .02). aUPD is frequent at diagnosis of FL and affects probability of disease transformation and clinical outcome.

Description: Despite advances in the curative treatment of acute myeloid leukemia (AML), recurrence will occur in the majority of cases. At diagnosis, acquisition of segmental uniparental disomy (UPD) by mitotic recombination has been reported in 15% to 20% of AML cases, associated with homozygous mutations in the region of loss of heterozygosity. This study aimed to discover if clonal evolution from heterozygous to homozygous mutations by mitotic recombination provides a mechanism for relapse. DNA from 27 paired diagnostic and relapsed AML samples were analyzed using genotyping arrays. Newly acquired segmental UPDs were observed at relapse in 11 AML samples (40%). Six were segmental UPDs of chromosome 13q, which were shown to lead to a change from heterozygosity to homozygosity for internal tandem duplication mutation of FLT3 (FLT3 ITD). Three further AML samples had evidence of acquired segmental UPD of 13q in a subclone of the relapsed leukemia. One patient acquired segmental UPD of 19q that led to homozygosity for a CEBPA mutation 207C〉T. Finally, a single patient with AML acquired segmental UPD of chromosome 4q, for which the candidate gene is unknown. We conclude that acquisition of segmental UPD and the resulting homozygous mutation is a common event associated with relapse of AML.

Description: The long-term disease-free survival rate of adult acute lymphoblastic leukemia (ALL) patients remains less than 40%, in contrast to pediatric cases where it approaches 80%. Furthermore, whereas genetic abnormalities are widely used in childhood ALL for assigning patients to prognostic risk groups, their use in adult ALL is generally restricted to the presence or absence of the t(9;22)/[BCR-ABL1]. Novel prognostic markers, allowing better treatment stratification, and new treatment targets are therefore much needed. We have investigated diagnostic samples from 45 adult ALL cases using genome-wide, high-resolution single nucleotide polymorphism (SNP) array analysis with the Affymetrix 10K, 250K Nsp, and 250K Sty chips, in total including more than 500,000 SNPs with a median inter-marker distance of

Description: Spontaneous regression is a recognized phenomenon in chronic lymphocytic leukemia (CLL) but its biological basis remains unknown. We undertook a detailed investigation of the biological and clinical features of 20 spontaneous CLL regression cases incorporating phenotypic, functional, transcriptomic, and genomic studies at sequential time points. All spontaneously regressed tumors were IGHV-mutated with no restricted IGHV usage or B-cell receptor (BCR) stereotypy. They exhibited shortened telomeres similar to nonregressing CLL, indicating prior proliferation. They also displayed low Ki-67, CD49d, cell-surface immunoglobulin M (IgM) expression and IgM-signaling response but high CXCR4 expression, indicating low proliferative activity associated with poor migration to proliferation centers, with these features becoming increasingly marked during regression. Spontaneously regressed CLL displayed a transcriptome profile characterized by downregulation of metabolic processes as well as MYC and its downstream targets compared with nonregressing CLL. Moreover, spontaneous regression was associated with reversal of T-cell exhaustion features including reduced programmed cell death 1 expression and increased T-cell proliferation. Interestingly, archetypal CLL genomic aberrations including HIST1H1B and TP53 mutations and del(13q14) were found in some spontaneously regressing tumors, but genetic composition remained stable during regression. Conversely, a single case of CLL relapse following spontaneous regression was associated with increased BCR signaling, CLL proliferation, and clonal evolution. These observations indicate that spontaneously regressing CLL appear to undergo a period of proliferation before entering a more quiescent state, and that a complex interaction between genomic alterations and the microenvironment determines disease course. Together, the findings provide novel insight into the biological processes underpinning spontaneous CLL regression, with implications for CLL treatment.

Description: Inherited risk determinants for follicular lymphoma (FL) have recently been described in the immune gene-rich human leukocyte antigen region on chromosome 6p. The known importance of host immune response to FL survival led us to evaluate these germline factors in FL outcome. We confirm the association of single nucleotide polymorphisms rs10484561 (P = 3.5 × 10−9) and rs6457327 (P = .008) with risk of FL and demonstrate that rs6457327 predicts both time to (P = .02) and risk of (P 〈 .01) FL transformation independently of clinical variables, including the Follicular Lymphoma International Prognostic Index.

Description: Background: The poor-risk cytogenetic subgroup of acute myeloid leukaemia (AML) includes various chromosomal aberrations and represents a heterogeneous population of patients with a dismal 10-year overall survival. While the success of genetic landscaping studies is encouraging, it is debatable whether genomics, or indeed any single-omics platform alone, is sufficient to capture the biology of a disease that continues to evade our existing treatments so effectively. Instead, we need to develop a much better understanding of the complexity of this subgroup of AMLs: the relationship and interdependencies across biochemical pathways, how these may differ between patients and their impact on the leukemia and normal stem cell compartments. To launch this process, we have completed a multi-omics profiling programme to shed new light on the genetic and biochemical features of poor-risk AML (https://poor-risk-aml.bham.ac.uk/). Aims: Application of multi-omics and integrative approaches to decipher the complexities of cytogenetically poor-risk AML Methods: Sample inclusion criteria were based on cytogenetics and availability of sufficient diagnostic bone marrow or peripheral blood material for analysis. The 50 primary AMLs included 17 cases with complex karyotype, 13 -7/del(7), 11 KMT2A rearrangements (with the exception of t(9;11)), 4 t(6;9), 3 -5/de(5), 1 del(17) and 1 inv(3). Profiles consisted of a combination of genomics (whole genome sequencing (WGS, 60X for tumour and 30X for germ-line controls), targeted sequencing of 54 myeloid loci, and total RNA-seq (100 million reads per bulk sample), mass spectrometry proteomics and phosphoproteomics (with 〉6,000 proteins and 〉 25,000 phosphorylation sites detected and quantified), mass cytometry (CyTOF, 39 markers), drug screening (ranging from 200-500 approved or investigational compounds) and the selective generation of patient-derived xenograft (PDX) models. Results: Near complete datasets have been compiled on all 50 primary AMLs, with the exception of WGS analysis where profiling was restricted to cases where corresponding germline DNA was available. Integration of WGS and RNA-seq data identified 122 genes having notable allele-specific expression (ASE) in ≥ 5 samples supported by ≥ 3 SNPs and these included the transcription factor GATA2 and the DNA topoisomerase TOP1MT. Use of RNA fusion capture tools resolved novel inter- and intra- chromosomal gene rearrangements that were confirmed by WGS. The four t(6;9)(p23;q34)/DEK-NUP214 cases, with a mean age of diagnosis of 43.5 years and all harboring FLT3-ITD mutations, arose from the most immature hematopoietic compartment (CD34+CD117+ enrichment) and demonstrated a unique transcriptomic signature, which included upregulation of FOXO3 and GRP56. Collectively, t(6;9) primary samples also showed a selective drug sensitivity to XPO1 (selinexor and eltanexor) and JAK inhibitors (ruxolitinib, tofacitinib and momelotinib) compared to other cytogenetic risk groups. On the other hand, a comparison of in vitro drug sensitivity data with genomic data of our entire cohort of patients demonstrated that TP53 wt AMLs (n=37) were more sensitive to all four MDM2 inhibitors (AMG-232, idasanutlin, SAR405838 and NVP-CGM097) compared to TP53 mutated cases (n=13). Comparisons of transcriptomics with the in vitro sensitivity to drugs included in early/late phase AML clinical trials, identified signatures of response associated with MDM2 and Aurora B kinase (AZD1152-HQPA) inhibitors. Phosphoproteomics analysis and machine learning modeling separated KMT2A rearranged leukemias into 2 discrete groups (group A: MLLT4, MLLT10 and TET1; group B with MLLT6, ELL and SEP9 fusion partners). Functionally, group A presented with elevated HOXA10 protein expression and enhanced in vitro response to genotoxic drugs and cell cycle inhibitors when compared to group B leukemia. Conclusions: Our study demonstrates the feasibility of simultaneously generating omics data from several different platforms and highlights that a combination of genetic and proteomic profiles may help to inform the choice of therapies based on the underlying biology of a patient's AML. Disclosures Wennerberg: Novartis: Research Funding; Pfizer: Honoraria. Heckman:Celgene: Research Funding; Novartis: Research Funding; Oncopeptides: Research Funding; Orion Pharma: Research Funding; Innovative Mediicines Initiative project Harmony: Research Funding.