scholarly journals Comprehensive diagnostics of acute myeloid leukemia by whole transcriptome RNA sequencing

Leukemia ◽  
2020 ◽  
Vol 35 (1) ◽  
pp. 47-61 ◽  
Author(s):  
Wibowo Arindrarto ◽  
Daniel M. Borràs ◽  
Ruben A. L. de Groen ◽  
Redmar R. van den Berg ◽  
Irene J. Locher ◽  
...  

AbstractAcute myeloid leukemia (AML) is caused by genetic aberrations that also govern the prognosis of patients and guide risk-adapted and targeted therapy. Genetic aberrations in AML are structurally diverse and currently detected by different diagnostic assays. This study sought to establish whole transcriptome RNA sequencing as single, comprehensive, and flexible platform for AML diagnostics. We developed HAMLET (Human AML Expedited Transcriptomics) as bioinformatics pipeline for simultaneous detection of fusion genes, small variants, tandem duplications, and gene expression with all information assembled in an annotated, user-friendly output file. Whole transcriptome RNA sequencing was performed on 100 AML cases and HAMLET results were validated by reference assays and targeted resequencing. The data showed that HAMLET accurately detected all fusion genes and overexpression of EVI1 irrespective of 3q26 aberrations. In addition, small variants in 13 genes that are often mutated in AML were called with 99.2% sensitivity and 100% specificity, and tandem duplications in FLT3 and KMT2A were detected by a novel algorithm based on soft-clipped reads with 100% sensitivity and 97.1% specificity. In conclusion, HAMLET has the potential to provide accurate comprehensive diagnostic information relevant for AML classification, risk assessment and targeted therapy on a single technology platform.

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2762-2762
Author(s):  
Marieke Griffioen ◽  
Wibowo Arindrarto ◽  
Daniel M. Borras ◽  
Irene J. Locher ◽  
Saskia A.M.E. van Diessen ◽  
...  

Abstract Introduction Acute myeloid leukemia (AML) is characterized by uncontrolled proliferation of malignant myeloid progenitor cells in the bone marrow that are arrested in differentiation. In AML, genetic aberrations often involve the same genes and play an important role in risk assessment and treatment of AML. In the WHO classification 2016 (Arber et al., Blood 2016), nine AML subtypes of clinical and prognostic importance are distinguished by distinct and practically mutually exclusive mutations, covering 50-60% of AML cases. By analysing an extended panel of genes, Papaemmanuil et al. (NEJM 2016) developed a purely genomic classification of AML. In this system, 11 groups are defined including 6 entities characterized by chromosomal translocations. Similar as in WHO 2016, these 6 entities each account for less than 5% of AML and are identified by metaphase cytogenetics. Of these 6 entities, 5 groups are defined by fusion genes and one group by inv(3)/t(3;3) leading to overexpression of EVI1. The 5 remaining classes include 4 entities with cytogenetically normal AML defined by mutations in NPM1 (27%), bi-allelic CEBPA (4%), genes regulating RNA splicing, chromatin or transcription (18%) and IDH2 R172 mutations (1%) and one entity characterized by mutations in TP53, a complex karyotype or specific aneuploidies (13%). Although the majority of patients can be classified by this new system, 15% of patients still lack class-defining lesions and expression levels of structurally normal genes, which can also have a decisive prognostic impact, are not considered. We propose that whole transcriptome messenger RNA sequencing provides a single and flexible platform to identify the diversity of genetic aberrations relevant for classification of AML. Methods A panel of hundred AML were analysed and HAMLET (Human AMLExpedited Transcriptomics) was developed as bioinformatics pipeline to detect fusion genes, small variants in thirteen genes, long tandem duplications in FLT3 and KMT2A and overexpression of EVI1. In HAMLET, a new algorithm based on soft clipped reads was developed to detect long tandem repeats in FLT3 and KMT2A. All genetic aberrations called by HAMLET were validated by diagnostic data and targeted re-sequencing. Results The data showed that HAMLET correctly called all genetic aberrations relevant for current classification of AML with high sensitivity and specificity. Moreover, the new soft clipped approach that has been integrated in HAMLET proved to be useful not only to detect long tandem duplications in FLT3 and KMT2A, but also to determine the allelic ratio of mutant-to-wild type FLT3, which is predictive for overall survival. By filtering small variants for predicted importance according to large AML sequencing data sets (Jaiswal et al., NEJM 2017), we classified the 100 AML according to genomic classification and showed that 87 cases were classified in single entities, 4 cases in two subgroups and 9 cases had no class-defining lesions. Of the 9 cases without class-defining lesions, 8 cases had detectable driver mutations and one case had no detectable driver mutation. These numbers perfectly match percentages reported by Papaemmanuil et al. (NEJM 2016). Apart from genetic aberrations that are relevant for current classification of AML, HAMLET also identified additional abnormalities. Of particular interest is NUP98-NSD1 (Hollink et al., Blood 2011), a cryptic fusion gene that is missed by metaphase cytogenetics in three AML with no class-defining lesions, and EVI1 overexpression in 5 cases without inv(3)/t(3;3) including three KMT2A-rearranged AML with extremely poor prognosis (Groschel et al., JCO 2013). Conclusions HAMLET correctly called all genetic aberrations relevant for current classification of AML and provides a wealth of additional information with potential consequences for patient management. In conclusion, HAMLET is a comprehensive and reliable pipeline for RNA sequence analysis that may contribute to better risk assessment and personalized treatment of AML. Disclosures Borras: GenomeScan B.V.: Employment. Janssen:GenomeScan B.V.: Employment.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 3627-3627 ◽  
Author(s):  
Antonella Padella ◽  
Giorgia Simonetti ◽  
Giulia Paciello ◽  
Anna Ferrari ◽  
Elisa Zago ◽  
...  

Abstract Acute Myeloid Leukemia (AML) is a highly heterogeneous disease and a complex network of events contribute to its pathogenesis. Chromosomal rearrangements and fusion genes have a crucial diagnostic, prognostic and therapeutic role in AML. A recent RNA sequencing (RNAseq) study on 179 AML revealed that fusion events occur in 45% of patients. However, the leukemogenic potential of these fusions and their prognostic role are still unknown. To identify novel rare gene fusions having a causative role in leukemogenesis and to identify potential targets for personalized therapies, transcriptome profiling was performed on AML cases with rare and poorly described chromosomal translocations. Bone marrow samples were collected from 5 AML patients (#59810, #20 and #84 at diagnosis and #21 and #32 at relapse). RNAseq was performed using the Illumina Hiseq2000 platform. The presence of gene fusions was assessed with deFuse and Chimerascan. Putative fusion genes were prioritized using Pegasus and Oncofuse, in order to select biologically relevant fusions. Chimeras not supported by split reads, occurring in reactive samples, involving not annotated or conjoined genes were removed. The remaining fusions were prioritized according to mapping of partner genes to chromosomes involved in the translocation or to Chimerascan and deFuse concordance. The CBFβ-MYH11 chimera was identified in sample #84, carrying inv(16) aberration, thus confirming the reliability of our analysis. Sample #59810 carried the fusion transcript ZEB2-BCL11B (Driver Score, DS=0.7), which is an in-frame fusion and a rare event in AML associated with t(2;14)(q21;q32). The breakpoint of the fusion mapped in exon 2 of ZEB2 (ENST00000558170) and exon 2 of BCL11B (ENST00000357195). Differently from previous data, this fusion transcript showed 3 splicing isoforms. Type 1 isoform is the full-length chimera and it retains all exons of both genes involved in the translocation. Type 2 isoform was characterized by the junction of exon 2 of ZEB2 and exon 3 of BCL11B. In type 3 isoform, exon 2 and 3 of BCL11B were removed, resulting in an mRNA composed by exon 2 of ZEB2 and exon 4 of BCL11B. Gene expression profiling showed an upregulation of ZEB2 and BCL11B transcripts in the patient's blasts, compared to 53 AML samples with no chromosomal aberrations in the 14q32 region. The same samples showed the WT1-CNOT2 chimera, which is a novel out-of-frame fusion (DS= 0.008) related to t(11;12) translocation, identified by cytogenetic analysis. Two new in-frame fusion genes were identified in sample #20: CPD-PXT1 (DS=0.07), which appeared as the reciprocal fusion product of t(6;17) translocation, and SAV1-GYPB, which remained cryptic at cytogenetic analysis (DS=0.8, alternative splicing events are being investigated). SAV1 was downregulated in sample #20 compared to our AML cohort, suggesting the putative loss of a tumour-suppressor gene. Sample #21 carried a t(3;12) translocation and RNAseq identified a novel fusion event between chromosomes 19 and 7, involving the genes OAZ and MAFK (DS=0.9). Finally, no chimeras were confirmed in sample #32 having a t(12;18) translocation. Our data suggest that fusion events are frequent in AML and a number of them cannot be detected by current cytogenetic analyses. Gene fusions cooperate to AML pathogenesis and heterogeneity and we are further investigating the oncogenic potential of the identified translocations. Moreover, the results firmly indicate that different approaches, including G-banding, molecular biology, bioinformatics and statistics, need to be integrated in order to better understand AML pathogenesis and improve patients' stratification, High-resolution sequencing analysis currently represent the most informative strategy to tailor personalized therapies. Acknowledgments: ELN, AIL, AIRC, progetto Regione-Università 2010-12 (L. Bolondi), Fondazione del Monte di Bologna e Ravenna, FP7 NGS-PTL project. Disclosures Soverini: Novartis, Briston-Myers Squibb, ARIAD: Consultancy. Martinelli:BMS: Speakers Bureau; MSD: Consultancy; Roche: Consultancy; ARIAD: Consultancy; Novartis: Speakers Bureau; Pfizer: Consultancy.


HemaSphere ◽  
2019 ◽  
Vol 3 (S1) ◽  
pp. 83
Author(s):  
M. Griffioen ◽  
W. Arindrarto ◽  
D.M. Borràs ◽  
I.J. Locher ◽  
S.A. van Diessen ◽  
...  

Haematologica ◽  
2021 ◽  
Author(s):  
Paul Kerbs ◽  
Sebastian Vosberg ◽  
Stefan Krebs ◽  
Alexander Graf ◽  
Helmut Blum ◽  
...  

Identification of fusion genes in clinical routine is mostly based on cytogenetics and targeted molecular genetics, such as metaphase karyotyping, FISH and RT-PCR. However, sequencing technologies are becoming more important in clinical routine as processing-time and costs per sample decrease. To evaluate the performance of fusion gene detection by RNA sequencing (RNAseq) compared to standard diagnostic techniques, we analyzed 806 RNA-seq samples from acute myeloid leukemia (AML) patients using two state-of-the-art software tools, namely Arriba and FusionCatcher. RNA-seq detected 90% of fusion events that were reported by routine with high evidence, while samples in which RNA-seq failed to detect fusion genes had overall lower and inhomogeneous sequence coverage. Based on properties of known and unknown fusion events, we developed a workflow with integrated filtering strategies for the identification of robust fusion gene candidates by RNA-seq. Thereby, we detected known recurrent fusion events in 26 cases that were not reported by routine and found discrepancies in evidence for known fusion events between routine and RNA-seq in three cases. Moreover, we identified 157 fusion genes as novel robust candidates and comparison to entries from ChimerDB or Mitelman Database showed novel recurrence of fusion genes in 14 cases. Finally, we detected the novel recurrent fusion gene NRIP1-MIR99AHG resulting from inv(21)(q11.2;q21.1) in nine patients (1.1%) and LTN1-MX1 resulting from inv(21)(q21.3;q22.3) in two patients (0.25%). We demonstrated that NRIP1-MIR99AHG results in overexpression of the 3' region of MIR99AHG and the disruption of the tricistronic miRNA cluster miR-99a/let-7c/miR-125b-2. Interestingly, upregulation of MIR99AHG and deregulation of the miRNA cluster, residing in the MIR99AHG locus, are known mechanism of leukemogenesis in acute megakaryoblastic leukemia. Our findings demonstrate that RNA-seq has a strong potential to improve the systematic detection of fusion genes in clinical applications and provides a valuable tool for fusion discovery.


2004 ◽  
Vol 216 (03) ◽  
Author(s):  
C Gall ◽  
T Langer ◽  
M Metzler ◽  
S Viehmann ◽  
J Harbott ◽  
...  

Blood Reviews ◽  
2011 ◽  
Vol 25 (6) ◽  
pp. 247-254 ◽  
Author(s):  
Brunangelo Falini ◽  
Ilaria Gionfriddo ◽  
Federica Cecchetti ◽  
Stelvio Ballanti ◽  
Valentina Pettirossi ◽  
...  

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