ALBERT

Description: Introduction Chronic Lymphocytic Leukaemia (CLL) is the most prevalent leukaemia in the Western world and characterised by clinical heterogeneity. IgHV mutation status, mutations in the TP53 gene and deletions of the p-arm of chromosome 17 are currently used to predict an individual patient's response to therapy and give an indication as to their long-term prognosis. Current clinical guidelines recommend screening patients prior to initial, and any subsequent, treatment. Routine clinical laboratory practices for CLL involve three separate assays, each of which are time-consuming and require significant investment in equipment. Nanopore sequencing offers a rapid, low-cost alternative, generating a full prognostic dataset on a single platform. In addition, Nanopore sequencing also promises low failure rates on degraded material such as FFPE and excellent detection of structural variants due to long read length of sequencing. Importantly, Nanopore technology does not require expensive equipment, is low-maintenance and ideal for patient-near testing, making it an attractive DNA sequencing device for low-to-middle-income countries. Methods Eleven untreated CLL samples were selected for the analysis, harbouring both mutated (n=5) and unmutated (n=6) IgHV genes, seven TP53 mutations (five missense, one stop gain and one frameshift) and two del(17p) events. Primers were designed to amplify all exons of TP53, along with the IgHV locus, and each primer included universal tails for individual sample barcoding. The resulting PCR amplicons were prepared for sequencing using a ligation sequencing kit (SQK-LSK108, Oxford Nanopore Technologies, Oxford, UK). All IgHV libraries were pooled and sequenced on one R9.4 flowcell, with the TP53 libraries pooled and sequenced on a second R9.4 flowcell. Whole genome libraries were prepared from 400ng genomic DNA for each sample using a rapid sequencing kit (SQK-RAD004, Oxford Nanopore Technologies, Oxford, UK), and each sample sequenced on individual flowcells on a MinION mk1b instrument (Oxford Nanopore Technologies, Oxford, UK). We developed a bespoke bioinformatics pipeline to detect copy-number changes, TP53 mutations and IgHV mutation status from the Nanopore sequencing data. Results were compared to short-read sequencing data obtained earlier by targeted deep sequencing (MiSeq, Illumina Inc, San Diego, CA, USA) and whole genome sequencing (HiSeq 2500, Illumina Inc, San Diego CA, USA). Results Following basecalling and adaptor trimming, the raw data were submitted to the IMGT database. In the absence of error correction, it was possible to identify the correct VH family for each sample; however the germline homology was not sufficient to differentiate between IgHVmut and IgHVunmut CLL cases. Following bio-informatic error correction and consensus building, the percentage to germline homology was the same as that obtained from short-read sequencing and nanopore sequencing also called the same productive rearrangements in all cases. A total of 77 TP53 variants were identified, including 68 in non-coding regions, and three synonymous SNVs. The remaining 6 were predicted to be functional variants (eight missense and two stop-gains) and had all been identified in early MiSeq targeted sequencing. However, the frameshift mutation was not called by the analysis pipeline, although it is present in the aligned reads. Using the low-coverage WGS data, we were able to identify del(17p) events, of 19Mb and 20Mb length, in both patients with high confidence. Conclusions Here we demonstrate that characterization of the IgHV locus in CLL cases is possible using the MinION platform, provided sufficient downstream analysis, including error correction, is applied. Furthermore, somatic SNVs in TP53 can be identified, although similar to second generation sequencing, variant calling of small insertions and deletions is more problematic. Identification of del(17p) is possible from low-coverage WGS on the MinION and is inexpensive. Our data demonstrates that Nanopore sequencing can be a viable, patient-near, low-cost alternative to established screening methods, with the potential of diagnostic implementation in resource-poor regions of the world. Disclosures Schuh: Giles, Roche, Janssen, AbbVie: Honoraria.

Description: Background Historically diagnosis and prognosis of myeloid disorders including acute myeloid leukemia (AML) have been determined using a combination of morphology, immunophenotype, cytogenetic and more recently single gene, if not single mutation, analysis. The introduction of NGS technology has resulted in an explosion in the quantity of mutation data available. However, the feasibility and utility of NGS technology with regards to decision-making in routine clinical practice of myeloid disorders is currently unknown. We therefore developed an advanced NGS tool for simultaneous assessment of multiple myeloid candidate genes from low amounts of input DNA and present clinical utility analysis below. Methods We designed a targeted resequencing assay using a TruSeq Custom Amplicon panel with the MiSeq platform (both Illumina) consisting of 341 amplicons (~56 kb) designed around exons of genes frequently mutated in myeloid malignancies (ASXL1, ATRX, CBL, CBLB, CBLC, CEBPA, CSF3R, DNMT3a, ETV6, EZH2, FLT3, HRAS, IDH1, IDH2, JAK2, KIT, KRAS, MPL, NPM1, NRAS, PDGFRA, PHF6, PTEN, RUNX1, SETBP1, SF3B1, SRSF2, TET2, TP53, U2AF1, WT1 & ZRSR2). Filtering, variant calling and annotation were performed using Basespace and Variant Studio (Illumina) with additional indel detection achieved using Pindel. A cohort of samples previously characterised with conventional techniques was used for validation and the lower limit of detection established using qPCR. Post-validation, DNA from 152 diagnostic blood or bone marrow samples from patients with confirmed or suspected myeloid disorders; both AML (n=46) and disorders with the potential to transform to AML i.e. myelodysplasia (confirmed n=54, suspected n=10) and myeloproliferative neoplasms (n=42), were analysed using this assay. To gather clinical utility data we developed a reporting algorithm to feed back information to clinicians; only those variants with a variant allele frequency (VAF) of 〉10% and described as acquired in publically available databases were reported with the exception of novel mutations predicted to result in a truncated protein. Further utility data was obtained using published mutation algorithms to determine the proportion of patients in whom mutation data altered prognosis. Results In the validation cohort, initial concordance for detection of clinically significant mutations was 88% rising to 100% once Pindel was used to identify FLT3 ITDs. The lower limit of detection was 3% VAF, and mean amplicon coverage was 390 reads. Using our reporting algorithm 66% of patients in the post-validation cohort had a suspected pathogenic mutation relevant to a myeloid disorder, rising to 74% in patients with confirmed diagnoses. The median number of reported variants per sample for all diagnoses was one (range 0-6). When mutation data for patients with AML with intermediate risk cytogenetics was analysed using the algorithm of Patel et al (N Engl J Med. 2012;366:1079-1089), 4/22 (18%) moved into another risk category. A further two patients had double CEBPA mutations, improving their prognosis. Identification of complex mutations in KIT exon 8 in 2/6 patients with core binding factor AML resulted in more intensive MRD monitoring due to the increased risk of relapse. Interpretation of mutation data for patients with confirmed myelodysplasia using the work of Bejar et al (N Engl J Med. 2011;364:2496-2506) revealed 13/54 (24%) had a high risk mutation independently associated with poor overall survival. 2/8 (25%) patients with chronic myelomonocytic leukemia and 1/12 (8.3%) patients with primary myelofibrosis had high risk ASXL1 exon 12 mutations, independently associated with a poor prognosis. Among suspected diagnoses confirmatory mutations were found in 2/19 (11%), while the absence of mutations reduced the probability of myeloid disease in 11/19 (58%), in some cases sparing elderly patients invasive bone marrow sampling. A further 20 patients had clinically relevant mutations. Conclusions The NGS Myeloid Gene Panel provided extra information to clinicians in 57/152 patients (38%) helping inform diagnosis, individualize disease monitoring schedules and support treatment decisions. The targeted panel approach requires rigorous validation and standardisation in particular of bio-informatics pipelines, but can be adapted to incorporate new genes as their relevance is described and will become central to treatment decisions. Disclosures No relevant conflicts of interest to declare.

Description: Background: Major progress has been made in understanding disease biology and therapeutic options for patients with chronic lymphocytic leukaemia (CLL). Recurrent mutations have been discovered using next generation sequencing, but with the exception of TP53 disruption their potential impact on response to treatment is unknown. In order to address this question, we characterised the genomic landscape of 250 first-line chemo-immunotherapy treated CLL patients within UK clinical trials using targeted resequencing and whole-genome SNP array. Methods: We studied patients from two UK-based Phase II randomised controlled trials (AdMIRe and ARCTIC) receiving FCR-based treatment in a first-line treatment setting. A TruSeq Custom Amplicon panel (TSCA, Illumina) was designed targeting 10 genes recurrently mutated in CLL based on recent publications.Average sequencing depth was 2260X. The cumulated length of targets sequenced was 7.87 kb from 330 amplicons covering 160 exons. Alignment and variant calling included a combination of three pipelines to confidently detect SNVs, indels and low level frequency mutations. SNP array testing was performed using HumanOmni2.5-8 BeadChips, (Illumina) and data analysed using Nexus 6.1 Discovery Edition, Biodiscovery. We performed targeted resequencing and genome-wide SNP arrays using selected samples’ germline material to confirm somatic mutations (n=40). Univariate and multivariate analyses using minimal residual disease (MRD) as the outcome measure were performed for 220 of the 250 patients. Results: Pathogenic mutations were identified in 165 (66%) patients, totalling 268 mutations in 10 genes. ATM was the most frequently mutated gene affecting 67 patients (29%) followed by SF3B1 (n=56, 24%), NOTCH1 (n= 32, 14%), TP53 (n= 21, 9%), BIRC3 (n= 17, 7%) and XPO1 (n=14, 6%). Less frequently recurrent mutations were seen in SAMHD1 (n=8, 3%), MYD88 (n= 4, 2%), MED12 (n=7, 3%) and ZFPM2 (n=5, 2%). Integrating sequencing and array results increased the patients with one or more CLL driver mutation from 66% to 94%. As previously reported del17p and TP53 mutations are co-occurring and associate with MRD positivity in all cases (n=15, p=0.0002). We report on minor TP53 subclones in 11 patients (VAF 1-5%), 8 of whom have MRD data available and were also associated with MRD positivity. Deletions of 11q were present in 44 patients. These lesions always included ATM but not always BIRC3. Bialleleic disruption was present in ATM for 27 patients (significantly associated with MRD positivity) and in BIRC3 for 4 patients. Rather surprisingly, trisomy 12 (n=33) and NOTCH1 mutations (n=28) were associated with MRD negativity (p=0.006 and 0.097, respectively). Analysing clonal and subclonal mutations per gene revealed the majority of mutations in SF3B1 and BIRC3 were subclonal (65% and 87% respectively). In contrast almost all SAMHD1 and MYD88 mutations were clonally distributed. There was an association between NOTCH1 subclonal mutations and MRD negativity, compared to clonal mutations, but this difference was not seen in the remaining mutated genes. From our copy number data, the presence of subclones was associated with MRD positivity (p=0.05). Combining important lesions in a multiple logistic regression analysis to predict MRD positivity, bialleleic ATM disruption, together with TP53 disruption, were the strongest predictors, followed by SAMHD1, whereas BIRC3 monoalleleic mutations were a medium predictor for MRD negativity. Conclusion: This is the first integrated genome-wide analysis of the distribution and associations of CLL drivers, using targeted deep resequencing and whole genome SNP arrays in an FCR-based first-line treatment setting. We have shown subclonal and clonal mutation profiles in all patients. For patients with two or more CLL-associated mutations we have begun to unravel clonal hierarchies. We have developed a comprehensive model using MRD as an outcome measure and have found bialleleic ATM mutations and SAMHD1 disruption to strongly predict for MRD positivity. Using MRD status as a robust proxy for PFS not only enables us to confirm results of previous studies, but is advantageous also in considerably reducing the timeframe for results. Indeed, we suggest that MRD status should be assessed routinely in future studies to complement modern integrated genomics approaches. Disclosures Hillmen: Pharmacyclics, Janssen, Gilead, Roche: Honoraria, Research Funding.

Description: Background Chronic lymphocytic leukaemia (CLL) is characterised by clinical and biological heterogeneity. Despite significant advances in therapeutic management, CLL remains largely incurable. Current risk stratification is based on cytogenetic features (del(17p), del(11q), del(13q), +12). So far, sequencing studies in CLL have focussed predominantly on the exome. These have identified a number of genes that are recurrently mutated at low frequency such as TP53, SF3B1, ATM, NOTCH1, MYD88, and BIRC3. Apart from TP53 abnormalities, none of these are currently used to guide clinical decisions and it is unclear how they are implicated in disease pathogenesis. Methods In this study, we sought to further refine the molecular landscape of CLL using whole genome sequencing (WGS) of paired tumour and germline DNA samples from a cohort of clinically annotated patients with CLL. We sequenced a heterogeneous cohort of 41 samples (25 males, 16 females, median age 69 (range 49-94)) with a range of clinical features (49% fludarabine refractory, 61% unmutated IgVH). Whole genome sequencing libraries were generated using the Illumina TruSeq PCR-free sample preparation kit, with a median insert size of 400bp, and subjected to 100bp paired-end sequencing on an Illumina HiSeq 2500 platform. Both tumour and germline libraries were sequenced to an average depth of 38x. Sequencing reads were aligned using the Isaac algorithm and the Starling and Strelka algorithms were used for SNV and Indel calling in germline and tumour samples respectively. All variants with a read depth

Description: Key Points Acquired pathogenic mutations in SAMHD1 are found in up to 11% of relapsed/refractory patients with CLL. SAMHD1 is mobilized to sites of DNA damage.

Description: Key Points Targeted NGS of relapsed/refractory CLL reveals a high incidence of concurrent mutations that mostly affect the TP53, ATM, and SF3B1 genes. Concurrent mutations of the TP53, ATM, and/or SF3B1 genes confer short survival in patients with relapsed/refractory CLL.

Description: Introduction: The 17p deletion (del(17p)) resulting in loss of the TP53 gene is associated with impaired response to genotoxic agents and has an impact on PFS following BTK inhibitor and possibly also venetoclax. The del(17p) usually coincides with TP53 mutation, leading to the impairment of the p53-associated pathway. Sole TP53 mutations appear also associated with poor outcome in prospective trials. The iwCLL guidelines recommend to look for del(17p) and TP53 mutation before each line of treatment. An original approach is the functional assay, which highlights the functional abnormalities of p53 whether it is a TP53 gene disruption (del(17p) and/or TP53 mutation) or a defect of another actor in the p53 pathway. We aim to validate this functional assay on a prospective trial and to study the impact of p53 status on the clinical response regardless of the biological method. Methods: Clinical and biological data were collected from 74 CLL patients (pts) enrolled in the BOMP phase II trial of the French Innovative Leukemia Organization (FILO) (NCT01612988) evaluating 6 monthly courses of BOMP including bendamustine, ofatumumab and high dose methylprednisolone in fit pts with relapsing CLL. In addition to conventional screening, we focused on p53 evaluation at time of inclusion. FISH analysis for del(17p) was done with a 5% cut-off for positive result. TP53 gene mutation screening was performed by Sanger sequencing of the coding region (exons 2-11). A targeted NGS screening (19 genes including TP53, Illumina MiSeq) was also performed. The p53 functional status was determined by a flow cytometry assay based on induction of p53 and p21 protein expression after etoposide and nutlin-3 exposition, as previously described (Le Garff-Tavernier M., 2011), which allows the detection of 3 types of p53 dysfunction (A, B and C), irrespective of an ATM default. Clinical response was evaluated by PFS, OS and TTNT Kaplan-Meier analyses (MedCalc stat). Results: Data from the whole cohort are available. Median age was 64 yrs. Pts had a median of 1 (1-3) lines of treatment previous to this trial, including FCR in 〉90%. Concerning p53 evaluation, a del(17p) was found in 30% of cases by FISH (22/73 pts with a median of 68% positive cells, range 10-98). The percentage of p53 abnormalities increased to 41% when TP53 mutations were screened (30/73 pts with 1 to 8 mutations, median VAF 10 %, range 1.6-90). Results from the p53 functional assay were available for 69 pts showing the highest level of p53 abnormalities. Indeed, p53 dysfunction was observed in 48% of pts (33/69) including type A (n=11), type B (n=17) and type C (n=5) dysfunction. Thus, the sensitivity and specificity of the p53 functional assay to detect pts with del(17p) and/or TP53 mutation were of 87% and 84% respectively (n=68 pts for which the 3 tests were available). Interestingly, discordant results were observed in 10 pts: 4 pts with a functional p53 despite a TP53 gene disruption (3 with TP53 mutation only and 1 with del(17p) only) and conversely 6 pts with a p53 dysfunction (all with type B dysfunction) but without any TP53 gene disruption, suggesting alternative alterations of the p53 pathway. The only similarity for those latter pts is the occurrence of at least one ATM abnormality (del(11q) and/or ATM mutation). The combination of the 3 assays defines 3 groups: (1) "intact p53" (no TP53 disruption and functional p53, n=32), (2) "altered p53" (TP53 disruption and p53 dysfunction, n=26) and (3) "discordant p53" (n=10). PFS and TTNT were higher in pts without (n=38) compared to those with TP53 gene disruption (n=30) (p=0.04 for both). The OS, even though not significant, presented a similar trend. When considering the functional status, a similar profile is observed but with a better discrimination between pts with normal p53 function (n=36) and pts with p53 dysfunction (n=32) (p=0.002 and 0.003, respectively). Combining the 3 assays, PFS and TTNT of the group 3 "discordant p53" profiles' appeared intermediate (Figure 1). Conclusion: This study shows that a p53 functional analysis can predict with an acceptable sensitivity the presence of a TP53 gene disruption. Interestingly, this functional assay coupled with cytogenetic and mutational screening could reveal a sub-group of pts with discordant results for which PFS and TTNT appeared intermediate. Evaluation of other discordant cases is mandatory to confirm these results and could lead to a wider use of this global functional approach. Figure 1. Figure 1. Disclosures Feugier: Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Sylvain:Gilead: Other: scientific advisor board. Schuh:Giles, Roche, Janssen, AbbVie: Honoraria. Guieze:abbvie: Honoraria; janssen: Honoraria; gilead: Honoraria. Leblond:Abbvie: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Speakers Bureau; Roche: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Gilead: Honoraria, Speakers Bureau; Sandoz: Honoraria; Amgen: Honoraria.

Description: The increased incidence of chronic lymphocytic leukemia (CLL) in first-degree relatives of affected patients indicates an element of genetic susceptibility to this malignancy, borne out in large scale genome-wide association studies (GWAS), which have identified over 40 constitutional risk alleles. Given the important genetic contribution to CLL susceptibility we hypothesized that constitutional genetic variants also affect disease progression. We employed GWAS methods in a large United Kingdom multi-center cohort study of well-characterized predominantly early-stage CLL cases to identify risk alleles for progressive CLL. We conducted six GWAS for single nucleotide polymorphisms (SNPs) associating with progressive CLL incorporating a total of 774 cases of European ancestry recruited to 6 clinical centers across the United Kingdom. CLL cases were genotyped on the Illumina OmniExpress platform and genotypes were determined using Illumina GenomeStudio software. After imputation, we combined the association test statistic for 5,199,911 autosomal SNPs common to all 6 GWAS after exclusion of those with an imputation quality score of

Description: Background Chemo-immunotherapy (CIT) with fludarabine, cyclophosphamide, and rituximab (FCR) is the standard of care in frontline treatment of CLL. With this approach, 25% of patients relapse within 24 months, whereas approximately one third of patients with hypermutated immunoglobulin heavy chains (IgHV) achieve a functional cure (Hallek et al. Lancet. 2010; Tam et al. Blood, 2014, Fischer et al, Blood 2015; Philip A. Thompson et al. Blood 2016). So far, mutations and/or deletions of TP53 remain the only predictive marker screened for in routine clinical practice, accounting for only one third of patients relapsing early after CIT. Recent next-generation sequencing (NGS) studies have revealed novel candidate predictors of early relapse including somatic mutations in RPS15 (Landau et al. Nature, 2015) and SAMHD1 (Clifford et al., submitted). Taken together with TP53disruption, these only occur in a subset of high-risk patients. Here, we present a comprehensive analysis of high-risk patients using Whole Genome Sequencing (WGS). Patients and Methods Using WGS we investigated 149 CLL patients from 5 national UK clinical trials: CLEAR (n=8), RIAltO (n=45), CLL 210 (n=22), ARCTIC (n=32) and AdMIRe (n=42). The two first line FCR-based clinical trials (ARCTIC and AdMIRe) were studied in most detail: 56 patients relapsed within 24 months; this group of patients will be referred to as high risk patients. Leukemia samples (peripheral blood) and germline samples (saliva) were collected for each patient. We performed WGS on the HiSeqX (Illumina). After read alignment, we detected somatic variants using Strelka 2.4.7 for small variants detection (SNV and InDels), Manta 0.28.0 for Structural variant (SV) detection, and Canvas 1.3.1 for Copy number variant (CNV) detection (Illumina). Non-coding regions were annotated with information from primary CLL, CLL cell lines and B-cell ENCODE databases. We interrogated the data at a gene scale and global level in order to identify patterns of early relapsing patients. Operative mutational signatures were analysed according to Alexandrov et al. (Nature, 2013). Putative regions of kataegis were calculated based on Lawrence et al. (Nature, 2013) and Alexandrov et al. (Nature, 2013). Results The mean coverage for CLL tumour and germline samples was 105.2X and 33.7X, respectively. The analysis of the whole cohort highlighted 1,723,603 somatic SNVs (mean= 11,570/sample) and 555,179 InDels (mean= 3,726/sample). Somatic SNVs spectrum consisted mainly of C〉T/G〉A mutations (30% of total SNVs reported) as previously described. The analysis of 13,490 somatic functional SNVs and InDels revealed novel candidate genes as most commonly mutated in the cohort. In high-risk patients, we noticed an enrichment of mutations in known genes such as TP53, genes of the NF-κB pathway and novel candidate genes previously reported in other cancers. A specific analysis of the functional coding mutations of known CLL driver genes revealed ATM, SF3B1 and IGLL5 as most commonly mutated genes in FCR responders compared to TP53, RPS15 and EGR2 in high risk patients. In depth analysis of somatic non-coding regions also identified potential new candidate regions associated with early relapse. Next, we investigated 52,871 CNAs (mean= 380/sample) and 29,080 SVs (mean= 195/sample) and identified as expected del13q, del17p, del11q and tri12 as the most frequent aberrations. In addition, we identified SVs across genes of interest in CLL, for instance TP53, ATM and BIRC3. Finally, we performed global genome analyses with investigation of mutational signatures and kataegis analyses highlighting hypermutated candidate regions, including the previously described IGLL5gene. Conclusion Here we present initial analysis of WGS data on 149 CLL patients from 5 UK clinical trials. Different patterns of mutations between low and high risk clinical groups are suggested. More detailed analysis with greater numbers of samples is ongoing and will determine the true clinical significance of these preliminary findings. The possibility of using WGS to aid clinical decision-making is becoming a realistic goal. Disclosures Becq: Illumina: Employment. He:Illumina: Employment. Pettitt:Celgene: Speakers Bureau; Gilead: Research Funding, Speakers Bureau; Roche: Research Funding, Speakers Bureau; Infinity: Research Funding. Hillmen:Pharmacyclics: Research Funding; Janssen: Honoraria, Research Funding; Roche: Honoraria, Research Funding; Gilead: Honoraria, Research Funding; Abbvie: Research Funding. Bentley:Illumina: Employment. Schuh:Gilead: Consultancy, Honoraria, Research Funding; Roche, Janssen, Novartis, Celgene, Abbvie: Consultancy, Honoraria.

Description: Background:Historically, the identification of minimal deleted regions (MDRs) has been a useful approach for pinpointing genes involved in the pathogenesis of human malignancies and constitutional disorders. Microarray technology has offered increased capability for newly identifying or refining existing MDRs and minimal overlapping regions (MORs) in cancer. Despite this, in chronic lymphocytic leukemia (CLL), published MORs that pinpoint only a few candidate genes have been limited and with the advent of NGS, the utility of high resolution array work as a discovery tool has become uncertain. Here, we show that profiling copy number abnormalities (CNAs) and cnLOH using arrays in a large patient series can still be a valuable approach for the identification of genes that are disrupted or mutated in CLL and have a role in CLL development and/or progression. Methods: 250 CLL patient DNAs from individuals enrolled in two UK-based Phase II randomised controlled trials (AdMIRe and ARCTIC trials) were tested using Infinium HumanOmni2.5-8 v1.1 according to manufacturer’s guidelines (Illumina Inc, San Diego, CA). Data were processed using GenomeStudioV2009.2 (Illumina Inc.) and analysed using Nexus Discovery Edition v6.1 (BioDiscovery, Hawthorne, CA). All Nexus plots were inspected visually to verify calls made, identify uncalled events and exclude likely false positives. To exclude common germline CNVs, the Database of Genomic Variants (DGV), a comprehensive catalog of structural variation in control data, was used. Copy number (CN) changes that encompassed fully changes noted in the DGV were excluded from further analysis. Regions of copy neutral loss of heterozygosity (cnLOH) were recorded if 〉1Mb in size, but were not used to define or refine MORs. Data from 1275 age-appropriate control samples minimised the reporting of common cnLOH events. All genomic coordinates were noted with reference to the GRCh37, hg19 assembly. MORs were investigated using Microsoft Excel filtering functions. A subset of genes (n=91) selected from MORs mainly on the basis of event frequency and/or number of genes within the MOR and/or literature interest were taken forward for targeted sequencing (exons only) of appropriate samples with/without CN Losses or cnLOH (Set 1 n=124; Set 2 n=126). These were tested using custom designed TruSeq Custom Amplicon panels (Illumina Inc) and processed according to manufacturer’s instructions. SAMHD1 was excluded from these panels since it had been studied separately within our laboratory. The data were analysed using an in-house bioinformatics pipeline that uses the sequence aligners MSR and Stampy and the variant callers GATK and Platypus, followed by stringent filtering. Results: Using our datasets we have identified 〉50 MORs previously unreported in the literature. Six of these showed copy number (CN) losses in 〉3% of patients studied. Furthermore, we have refined 14 MORs that overlapped with regions described previously and that had also a CN loss frequency of 〉3%. Thirteen MORs involved only a single reference gene, often a gene implicated previously in cancer (eg. SAMHD1, MTSS1, DCC and RFC1). Of the 91 genes taken forward for targeted sequencing, stringent data filtering led to a subset of 19 genes of interest harbouring exonic mutations. Genes with mutations identified include DCC, BAP1 and FBXW7, also implicated previously in cancer. Conclusion: We have generated high resolution CNA and cnLOH profiles for 250 first-line chemo-immunotherapy treated CLL patients and used this information to document newly identified MORs, to refine MORs reported previously and to identify mutation harbouring genes using targeted NGS. Functional knowledge supports our hypothesis that these genes may have a contributory role in CLL. For two genes, SAMHD1 and FBXW7, relevance in CLL has been established already. Taken together, our data validate the utility of high resolution arrays studies for the identification of candidate genes that may be involved in CLL development or progression when disrupted. Further studies are required to confirm a role for these genes in CLL and to elucidate the nature of the underlying biological mechanisms. Disclosures No relevant conflicts of interest to declare.