scholarly journals NARASIMHA: Novel Assay based on Targeted RNA Sequencing to Identify ChiMeric Gene Fusions in Hematological Malignancies

2020 ◽  
Vol 10 (5) ◽  
Author(s):  
Nikhil Patkar ◽  
Prasanna Bhanshe ◽  
Sweta Rajpal ◽  
Swapnali Joshi ◽  
Shruti Chaudhary ◽  
...  
Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 887-887 ◽  
Author(s):  
Anna Stengel ◽  
Rabia Shahswar ◽  
Wencke Walter ◽  
Manja Meggendorfer ◽  
Wolfgang Kern ◽  
...  

Background: Chimeric transcripts are frequent genetic abnormalities in hematological malignancies that often contribute to leukemogenesis and play crucial roles for risk stratification, MRD monitoring and targeted therapy. However, current standard techniques for detection of gene fusions (chromosome banding analysis (CBA) and fluorescence in situ hydridization (FISH)) are only able to predict known and/or non-cryptic gene fusions. RNA sequencing (RNAseq) has successfully been applied for determination of genomic gene fusions. Aim: Comprehensive analysis of fusion genes in AML (acute myeloid leukemia) and MDS (myelodysplastic syndrome) patients and evaluation of the beneficial use of RNAseq in detecting recurrent and novel fusions. Methods: RNAseq was performed for 579 AML and 630 MDS patients for the detection of recurrent and novel fusion transcripts. WGS (whole genome sequencing) and cytogenetics (CBA, FISH) were applied for validation of the respective transcripts. 151 bp paired-end reads were produced on a NovaSeq 6000 system (Illumina, San Diego, CA) with a yield between 35 and 125 million paired reads per sample. Reciprocal fusion transcripts were counted as one fusion event. All reported p-values are two-sided and were considered significant at p<0.05. Results: After stringent filtering and validation by WGS and/or cytogenetics, for AML, 279 fusion events (corresponding to 147 unique gene fusions) were detected in 208 cases (36% of patients). 213/279 (76%) were confirmed by WGS and cytogenetics, 54/279 cases (19%) by WGS only and 12/279 (4%) cases by cytogenetics only. As a proof of principle, entity-defining rearrangements were detected most frequently: RUNX1-RUNX1T1 (n=42), CBFB-MYH11 (n=39) and PML-RARA (n=39). Other recurrent fusions included KMT2A-MLLT3 (n=6), KMT2A-MLLT10 (n=3) and DEK-NUP214 (n=4) (Fig 1A). However, in addition a high number (130/279, 47%) of so far unreported gene fusions were detected, including 49/130 inter-chromosomal and 81/130 intra-chromosomal fusions. These comprised 92/130 cases for which both fusion partners have not been reported before and 38/130 cases with a novel partner of a gene previously reported in hematological malignancies, including novel partners for NUP98 (XRN1), ETV6 (FAAP100, ARNTL2, SMCO2), RUNX1 (THOC6, EIF3E, OPHN1, TMEM50B), RARA (CCDC33), CBFB (TTC3, HMGB1) and KMT2A (NCBP1, ARHGEF12) (Fig 1B) (all validated by WGS and/or cytogenetics (see above)). Most of the novel fusions were detected only once, however two of them were observed in two patients each (NRIP2-ITFG2, CTDSP1-CFLAR). Moreover, cases with novel fusions were characterized by a very high frequency of TP53 mutations (59% vs. 1% in cases with known fusions and 9% in cases with no detected fusions, p<0.001), whereas FLT3-ITD and NPM1 mutations were rather rare (NPM1: 8% (novel) vs. 0% (known) vs. 35% (no fusion); FLT3-ITD: 3% (novel) vs. 14% (known) vs. 24% (no fusion). Consequently, a large number of cases with novel fusions depicted a complex karyotype (62% (novel) vs. 1% (known) vs. 9% (no fusion)). Regarding age, patients with known fusions were significantly younger than patients with novel fusions or without detected fusions (median age: 54 years (known) vs. 72 (novel) vs. 70 (no fusion), p<0.001). For MDS, 30 fusions (29 unique transcripts) were observed in 28/630 cases (4% of all patients). 4/30 (13%) of detected gene fusions were inter-chromosomal, while the majority (26/30, 87%) was intra-chromosomal. 27/30 (90%) fusions were validated by WGS, 9/30 (30%) by CBA, comprising 6/30 (20%) cases that were validated by both methods. Only one of the detected fusions was detected in >1 patient (n=2) and was described previously (MECOM-NRIP1), all others (n=28) are so far unreported. Of these, 23/28 comprise both so far undescribed fusion partners, whereas for 5/28 fusions one partner was previously reported to function in hematological neoplasms (e.g. MYB-PEX7, RABEP1-NUP88). Conclusions: (1) A large number of novel fusions were detected by RNAseq and validated by WGS and cytogenetics, especially in AML. (2) These novel fusions correlate with a very high frequency of TP53 mutations, their pathogenic role has to be evaluated further. (3) This data may provide the basis for identifying potential new actionable targets (e.g. for personalized vaccine or adoptive cell-based therapy development) and developing markers for patient sensitive MRD monitoring. Disclosures Stengel: MLL Munich Leukemia Laboratory: Employment. Walter:MLL Munich Leukemia Laboratory: Employment. Meggendorfer:MLL Munich Leukemia Laboratory: Employment. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.


2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii349-iii350
Author(s):  
Torsten Pietsch ◽  
Christian Vokuhl ◽  
Gerrit H Gielen ◽  
Andre O von Bueren ◽  
Everlyn Dörner ◽  
...  

Abstract INTRODUCTION Glioblastoma in infancy and early childhood is characterized by a more favorable outcome compared to older children, a stable genome, and the occurrence of tyrosine kinase gene fusions that may represent therapeutic targets. METHODS 50 glioblastomas (GBM) with supratentorial location occurring in children younger than four years were retrieved from the archives of the Brain Tumor Reference Center, Institute of Neuropathology, University of Bonn. DNA and RNA were extracted from FFPE tumor samples. Gene fusions were identified by FISH using break-apart probes for ALK, NTRK1, -2, -3, ROS1 and MET, Molecular Inversion Probe (MIP) methodology, and targeted RNA sequencing. RESULTS 37 supratentorial GBM occurred in the first year of life, 13 GBM between one and four years. 18 cases showed fusions of ALK to different fusion partners; all occurred in the first year of life (18/37 cases, 48.6%). Fusions of ROS1 were found in 5, MET in 3, NTRK1, -2, -3 in 10 cases. 12 cases showed no and two novel fusions. The different methods led to comparable results; targeted RNA sequencing was not successful in a fraction of cases. Break-apart FISH led to reliable results on the next day, MIP technology represented the most sensitive method for analysis of FFPE samples. CONCLUSIONS Gene fusions involving the tyrosine kinase genes ALK, MET, ROS1 and NTRK1, -2, -3 occurred in 72% of glioblastomas of children younger than four years; the most frequent were ALK fusions occurring in infant GBM. DNA based MIP technology represented the most robust and sensitive assay.


2010 ◽  
Vol 11 (10) ◽  
Author(s):  
Andrea Sboner ◽  
Lukas Habegger ◽  
Dorothee Pflueger ◽  
Stephane Terry ◽  
David Z Chen ◽  
...  

2021 ◽  
Vol 14 (1) ◽  
pp. 100884
Author(s):  
Franck Ah-Pine ◽  
Déborah Casas ◽  
Philippe Menei ◽  
Blandine Boisselier ◽  
Emmanuel Garcion ◽  
...  

2015 ◽  
Vol 148 (4) ◽  
pp. S-78
Author(s):  
Andrew Blum ◽  
Vinay Varadan ◽  
Yan Guo ◽  
Ann Marie Kieber-Emmons ◽  
Lakshmeswari Ravi ◽  
...  

2021 ◽  
Vol 19 (4) ◽  
pp. e41
Author(s):  
Dongmoung Kim ◽  
Seung-Hyun Jung ◽  
Yeun-Jun Chung

In addition to mutations and copy number alterations, gene fusions are commonly identified in cancers. In thyroid cancer, fusions of important cancer-related genes have been commonly reported; however, extant panels do not cover all clinically important gene fusions. In this study, we aimed to develop a custom RNA-based sequencing panel to identify the key fusions in thyroid cancer. Our ThyChase panel was designed to detect 87 types of gene fusion. As quality control of RNA sequencing, five housekeeping genes were included in this panel. When we applied this panel for the analysis of fusions containing reference RNA (HD796), three expected fusions (EML4-ALK, CCDC6-RET, and TPM3-NTRK1) were successfully identified. We confirmed the fusion breakpoint sequences of the three fusions from HD796 by Sanger sequencing. Regarding the limit of detection, this panel could detect the target fusions from a tumor sample containing a 1% fusion-positive tumor cellular fraction. Taken together, our ThyChase panel would be useful to identify gene fusions in the clinical field.


2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 34-34
Author(s):  
Hark K. Kim

34 Background: Among the two histologic subtype of gastric cancer (GC), diffuse gastric cancer (DGC) is increasingly being considered distinct from intestinal type gastric cancer (IGC). Despite the relative importance of DGC, few whole transcriptomic analyses have been performed for this histological subtype. We therefore conducted an RNA-sequencing study to search for novel driver fusions in DGC. Methods: We conducted a whole transcriptomic and targeted RNA sequencing study of 384 Korean DGCs to identify gene fusions that may be novel prognostic markers or therapeutic targets. Targeted DNA sequencing and SNP6.0 array analyses were conducted in parallel. Results: Whole transcriptomic analyses were conducted in 80 discovery dataset tumors collected from young patients with DGC who had not been treated with chemotherapy or radiation. Twenty-five in-frame fusions were associated with DGC, four of which were recurrent in 384 DGCs based on targeted RNA sequencing and RT-PCR sequencing analyses. Three of the four recurrent fusions contained a RhoGAP domain in their 3’ partner genes. Patients with one of these three fusions have a significantly worse prognosis than those without (HR, 2.8 [95% CI, 1.5‒5.3]). The fusion that harbored a PAP2 domain in the 3’ partner gene was also identified as recurrent and poor prognostic in-frame fusions. Overall, RhoGAP and PAP2 domain-containing fusions were present in 7.5% of DGCs, but not in adjacent normal tissue, and clearly defined the worst prognosis subgroup. Their prognostic impact (adjusted HR 4.1 [95% CI, 2.1‒7.9]) was higher than, and independent of, chromosomal instability (CIN) and CDH1 mutation, which we previously identified as the strongest adverse prognostic genomic abnormalities in DGCs (adjusted HRs, 2.5 (1.5‒4.4) and 2.4 (1.3‒4.4), respectively). Our comprehensive in-frame fusion screen also identified several clinically-actionable fusions amenable to ALK or FGFR inhibition, which had not been previously associated with gastric cancer. Conclusions: Our findings may provide novel genomic insights guiding future personalized strategies for managing DGCs, given the strong prognostic impact of RhoGAP and PAP2 domain-containing gene fusions.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 3052-3052
Author(s):  
Ruiying Zhao ◽  
Yuchen Han ◽  
Chan Xiang ◽  
Shengnan Chen ◽  
Jikai Zhao ◽  
...  

3052 Background: Next-generation sequencing of DNA, which can provide valid information for clinical therapeutic decision-making, has been widely used in the management of lung cancer especially adenocarcinoma. However, due to its technical limitations for detecting certain alterations such as gene rearrangement, the DNA-based sequencing (DNA-seq) may miss the actionable alteration in some cases, who would have benefited from targeted therapy. The study aimed to evaluate the capability of RNA sequencing (RNA-seq) in identifying DNA-seq undetectable gene alterations in lung adenocarcinomas. Methods: A total of 219 lung adenocarcinomas, which had no driver alteration detected by DNA-seq (OncoScreen Plus, Burning Rock Biotech) and had a max AF ≥5%, underwent capture-based RNA-seq using a custom panel (OncoRNA, Burning Rock Biotech) spanning full transcripts of 115 genes commonly involved in cancer genomic rearrangements. Furthermore, an independent cohort of 100 DNA-seq driver–negative lung adenocarcinomas were also subjected to RNA-seq with the same panel. Results: In the discovery cohort, 166/219 samples (75.8%) generated qualified RNA-seq data for subsequent analyses. RNA-seq identified 44 previously undetected alterations (26.5%), including 40 gene fusions (24.1%), 1 MET exon14 skipping variant ( METex14, 0.6%) and 3 other alternative splicing variants (1.8%). Among them, 14 (8.4%) were potential actionable alterations, consisting of METex14 and in-frame fusions containing functional domain of the driver gene (4 ROS1 fusions, 3 BRAF fusions, 2 NRG1 fusions, 2 EGFR fusions, 1 ALK fusion and 1 MET fusion). In the validation cohort, 69/100 samples (69.0%) generated qualified data. RNA-seq identified 22 DNA-seq undetected alterations (31.9%), with 7 of them being potential actionable fusions (10.1%). ROS1 fusion remained as the most common actionable alteration (n = 3), followed by ALK fusion (n = 2), EGFR fusion (n = 1) and MET fusion (n = 1). Further analyses of the two datasets revealed that lacking sufficient coverage spanning the rearrangement breakpoint in the DNA-seq panel mainly accounted for the failure of DNA-seq on detecting these fusions. This can be improved by increasing the corresponding probe coverage in the DNA-seq panel. In addition, complex genomic rearrangement at DNA level and the presence of repetitive sequence in the intronic region spanning or adjacent to the breakpoint might lead to missed calling of canonical fusions by DNA-seq. Conclusions: Targeted RNA-seq can effectively identify genomic rearrangements that are undetectable by DNA-seq and provide lung adenocarcinoma patients with more opportunities for targeted therapy. Therefore, it should be recommended for all patients, in whom DNA-seq fails to detect driver alteration.


2021 ◽  
pp. 153591
Author(s):  
Elena Gerhard-Hartmann ◽  
Christian Vokuhl ◽  
Sabine Roth ◽  
Tabea Steinmüller ◽  
Mathias Rosenfeld ◽  
...  

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