Simona Valletta

Recurrent SETBP1 Mutations in Atypical Chronic Myeloid Leukemia

Atypical chronic myeloid leukemia (aCML) shares clinical and laboratory features with CML, but it lacks the BCR-ABL1 fusion. We performed exome sequencing of eight aCMLs and identified somatic alterations of SETBP1 (encoding a p.Gly870Ser alteration) in two cases. Targeted resequencing of 70 aCMLs, 574 diverse hematological malignancies and 344 cancer cell lines identified SETBP1 mutations in 24 cases, including 17 of 70 aCMLs (24.3%; 95% confidence interval (CI) = 16–35%). Most mutations (92%) were located between codons 858 and 871 and were identical to changes seen in individuals with Schinzel-Giedion syndrome. Individuals with mutations had higher white blood cell counts (P = 0.008) and worse prognosis (P = 0.01). The p.Gly870Ser alteration abrogated a site for ubiquitination, and cells exogenously expressing this mutant exhibited higher amounts of SETBP1 and SET protein, lower PP2A activity and higher proliferation rates relative to those expressing the wild-type protein. In summary, mutated SETBP1 represents a newly discovered oncogene present in aCML and closely related diseases.

FusionAnalyser: a new graphical, event-driven tool for fusion rearrangements discovery

Gene fusions are common driver events in leukaemias and solid tumours; here we present FusionAnalyser, a tool dedicated to the identification of driver fusion rearrangements in human cancer through the analysis of paired-end high-throughput transcriptome sequencing data. We initially tested FusionAnalyser by using a set of in silico randomly generated sequencing data from 20 known human translocations occurring in cancer and subsequently using transcriptome data from three chronic and three acute myeloid leukaemia samples. in all the cases our tool was invariably able to detect the presence of the correct driver fusion event(s) with high specificity. In one of the acute myeloid leukaemia samples, FusionAnalyser identified a novel, cryptic, in-frame ETS2–ERG fusion. A fully event-driven graphical interface and a flexible filtering system allow complex analyses to be run in the absence of any a priori programming or scripting knowledge. Therefore, we propose FusionAnalyser as an efficient and robust graphical tool for the identification of functional rearrangements in the context of high-throughput transcriptome sequencing data.

Targeted resequencing analysis of 31 genes commonly mutated in myeloid disorders in serial samples from myelodysplastic syndrome patients showing disease progression

Targeted resequencing analysis of 31 genes commonly mutated in myeloid disorders in serial samples from myelodysplastic syndrome patients showing disease progression

ASXL1 mutation correction by CRISPR/Cas9 restores gene function in leukemia cells and increases survival in mouse xenografts

Recurrent somatic mutations of the epigenetic modifier and tumor suppressor ASXL1 are common in myeloid malignancies, including chronic myeloid leukemia (CML), and are associated with poor clinical outcome. CRISPR/Cas9 has recently emerged as a powerful and versatile genome editing tool for genome engineering in various species. We have used the CRISPR/Cas9 system to correct the ASXL1 homozygous nonsense mutation present in the CML cell line KBM5, which lacks ASXL1 protein expression. CRISPR/Cas9-mediated ASXL1 homozygous correction resulted in protein re-expression with restored normal function, including down-regulation of Polycomb repressive complex 2 target genes. Significantly reduced cell growth and increased myeloid differentiation were observed in ASXL1 mutation-corrected cells, providing new insights into the role of ASXL1 in human myeloid cell differentiation. Mice xenografted with mutation-corrected KBM5 cells showed significantly longer survival than uncorrected xenografts. These results show that the sole correction of a driver mutation in leukemia cells increases survival in vivo in mice. This study provides proof-of-concept for driver gene mutation correction via CRISPR/Cas9 technology in human leukemia cells and presents a strategy to illuminate the impact of oncogenic mutations on cellular function and survival.

Application of CRISPR/Cas9 genome editing to the study and treatment of disease

CRISPR/Cas is a microbial adaptive immune system that uses RNA-guided nucleases to cleave foreign genetic elements. The CRISPR/Cas9 method has been engineered from the type II prokaryotic CRISPR system and uses a single-guide RNA to target the Cas9 nuclease to a specific genomic sequence. Cas9 induces double-stranded DNA breaks which are repaired either by imperfect non-homologous end joining to generate insertions or deletions (indels) or, if a repair template is provided, by homology-directed repair. Due to its specificity, simplicity and versatility, the CRISPR/Cas9 system has recently emerged as a powerful tool for genome engineering in various species. This technology can be used to investigate the function of a gene of interest or to correct gene mutations in cells via genome editing, paving the way for future gene therapy approaches. Improvements to the efficiency of CRISPR repair, in particular to increase the rate of gene correction and to reduce undesired off-target effects, and the development of more effective delivery methods will be required for its broad therapeutic application.

CEQer: a graphical tool for copy number and allelic imbalance detection from whole-exome sequencing data.

Copy number alterations (CNA) are common events occurring in leukaemias and solid tumors. Comparative Genome Hybridization (CGH) is actually the gold standard technique to analyze CNAs; however, CGH analysis requires dedicated instruments and is able to perform only low resolution Loss of Heterozygosity (LOH) analyses. Here we present CEQer (Comparative Exome Quantification analyzer), a new graphical, event-driven tool for CNA/allelic-imbalance (AI) coupled analysis of exome sequencing data. By using case-control matched exome data, CEQer performs a comparative digital exonic quantification to generate CNA data and couples this information with exome-wide LOH and allelic imbalance detection. This data is used to build mixed statistical/heuristic models allowing the identification of CNA/AI events. To test our tool, we initially used in silico generated data, then we performed whole-exome sequencing from 20 leukemic specimens and corresponding matched controls and we analyzed the results using CEQer. Taken globally, these analyses showed that the combined use of comparative digital exon quantification and LOH/AI allows generating very accurate CNA data. Therefore, we propose CEQer as an efficient, robust and user-friendly graphical tool for the identification of CNA/AI in the context of whole-exome sequencing data.

Identification of novel point mutations in splicing sites integrating whole‐exome and RNA‐seq data in myeloproliferative diseases

Point mutations in intronic regions near mRNA splice junctions can affect the splicing process. To identify novel splicing variants from exome sequencing data, we developed a bioinformatics splice‐site prediction procedure to analyze next‐generation sequencing (NGS) data (SpliceFinder). SpliceFinder integrates two functional annotation tools for NGS, ANNOVAR and MutationTaster and two canonical splice site prediction programs for single mutation analysis, SSPNN and NetGene2. By SpliceFinder, we identified somatic mutations affecting RNA splicing in a colon cancer sample, in eight atypical chronic myeloid leukemia (aCML), and eight CML patients. A novel homozygous splicing mutation was found in APC (NM_000038.4:c.1312+5G>A) and six heterozygous in GNAQ (NM_002072.2:c.735+1C>T), ABCC3 (NM_003786.3:c.1783‐1G>A), KLHDC1 (NM_172193.1:c.568‐2A>G), HOOK1 (NM_015888.4:c.1662‐1G>A), SMAD9 (NM_001127217.2:c.1004‐1C>T), and DNAH9 (NM_001372.3:c.10242+5G>A). Integrating whole‐exome and RNA sequencing in aCML and CML, we assessed the phenotypic effect of mutations on mRNA splicing for GNAQ, ABCC3, HOOK1. In ABCC3 and HOOK1, RNA‐Seq showed the presence of aberrant transcripts with activation of a cryptic splice site or intron retention, validated by the reverse transcription‐polymerase chain reaction (RT‐PCR) in the case of HOOK1. In GNAQ, RNA‐Seq showed 22% of wild‐type transcript and 78% of mRNA skipping exon 5, resulting in a 4–6 frameshift fusion confirmed by RT‐PCR. The pipeline can be useful to identify intronic variants affecting RNA sequence by complementing conventional exome analysis.

Application of genome editing technologies to the study and treatment of hematological disease.

Genome editing technologies have advanced significantly over the past few years, providing a fast and effective tool to precisely manipulate the genome at specific locations. The three commonly used genome editing technologies are Zinc Finger Nucleases (ZFNs), Transcription Activator-Like Effector Nucleases (TALENs), and the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-associated Cas9 (CRISPR/Cas9) system. ZFNs and TALENs consist of endonucleases fused to a DNA-binding domain, while the CRISPR/Cas9 system uses guide RNAs to target the bacterial Cas9 endonuclease to the desired genomic location. The double-strand breaks made by these endonucleases are repaired in the cells either by non-homologous end joining, resulting in the introduction of insertions/deletions, or, if a repair template is provided, by homology directed repair. The ZFNs, TALENs and CRISPR/Cas9 systems take advantage of these repair mechanisms for targeted genome modification and have been successfully used to manipulate the genome in human cells. These genome editing tools can be used to investigate gene function, to discover new therapeutic targets, and to develop disease models. Moreover, these genome editing technologies have great potential in gene therapy. Here, we review the latest advances in the application of genome editing technology to the study and treatment of hematological disorders.

Whole-Exome Sequencing Data - Identifying Somatic Mutations

The use of next-generation sequencing instruments to study hematological malignancies generates a tremendous amount of sequencing data. This leads to a challenging bioinformatics problem to store, manage, and analyze terabytes of sequencing data, often generated from extremely different data sources. Our project is mainly focused on sequence analysis of human cancer genomes, in order to identify the genetic lesions underlying the development of tumors. However, the automated detection procedure of somatic mutations and the statistical testing procedure to identify genetic lesions are still an open problem. Therefore, we propose a computational procedure to handle large-scale sequencing data in order to detect exonic somatic mutations in a tumor sample. The proposed pipeline includes several steps based on open-source software and the R language: alignment, detection of mutations, annotation, functional classification, and visualization of results. We analyzed Illumina whole-exome sequencing data from five leukemic patients and five paired controls plus one colon cancer sample and paired control. The results were validated by Sanger sequencing.

Abstract 2993: Patterns of recurrent mutations in SETBP1 mutated and wild-type atypical Chronic Myeloid Leukemia patients.

Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC Atypical Chronic Myeloid Leukemia (aCML) is a heterogeneous disorder belonging to the group of myelodysplastic/myeloproliferative (MDS/MPN) syndromes. The molecular pathogenesis of this disease is still unclear and the outcome is poor with no improvement over the last 20 years. We applied whole exome sequencing approach in 9 aCML patient samples in order to identify possible recurrent alterations. The analysis revealed the presence of unique mutations in 70 genes with 3 cases of SETBP1 alterations. Some of the genes identified as mutated in the initial set of 9 patients (IDH2, MTA2, EPHB3, ETNK1, GATA2, IRAK4) and having a score higher than 1 in the oncogenic GeneRanker database were resequenced in a cohort of 40 aCML patients (15 with and 25 without SETBP1 mutations). With the exception of IDH2, no other gene was found mutated in any case apart from the index patient. Evaluation on a larger cohort of 70 aCML samples revealed recurrent SETBP1 mutations in 24.3% of cases (see designated abstract). To test the relationship between SETBP1 variants and mutations in oncogenes known to be involved in myeloid malignancies, mutations in ASXL1, CBL, CEBPA, DNMT3A, EED, EZH2, FLT3, IDH1/2, JAK2, JARID2, NPM1, N/KRAS, RBBP4, RUNX1, SF3B1, SUZ12, TET2 and WT1 were evaluated in a population of 61 aCML patients (14 with and 47 without SETBP1 mutations) by Sanger sequencing. Overall we identified 60 mutations in 14 genes: 28 were missense point mutations, 13 nonsense point mutations, 15 missense ins/del and 4 ins/del leading to a premature stop codon. No mutations were found in IDH1, RBBP4, NPM1, JAK2, FLT3, DNMT3A. Mutations in ASXL1 were present in 14 patients and appeared more frequent in patients with mutated SETBP1 (36% vs 19%) while the 15 TET2 mutations were more prevalent in patients with SETBP1 WT than in mutated samples(28% vs. 14%). Further associations will be presented at the meeting, although further analysis on larger cohorts of patients will be necessary to determine the significance of this differences. Additional data on epigenetic signature of aCML will clarify the role of epigenetic dysregulation in aCML and related diseases. Citation Format: Sara Redaelli, Simona Valletta, Rocco Piazza, Nils Winkelmann, Roberta Spinelli, Alessandra Pirola, Laura Antolini, Luca Mologni, Carla Donadoni, Elli Papaemmanuil, Susanne Schnittger, Kim Dong-Wook, Jacqueline Boultwood, Fabio Rossi, Giuseppe Gaipa, Greta De Martini, Paola Francia di Celle, Hyun Gyung Jang, Valeria Fantin, Graham R. Bignell, Vera Magistroni, Torsten Haferlach, Enrico Maria Pogliani, Peter Campbell, Andrew J. Chase, William J. Tapper, Nick C.P. Cross, Carlo Gambacorti Passerini. Patterns of recurrent mutations in SETBP1 mutated and wild-type atypical Chronic Myeloid Leukemia patients. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 2993. doi:10.1158/1538-7445.AM2013-2993