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  • American Association for Cancer Research (AACR)  (10)
  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 14_Supplement ( 2016-07-15), p. LB-329-LB-329
    Abstract: Chromosomal rearrangements are common markers of cancer progression across a wide range of cancer types, and therefore, identification of fusion transcripts in cancer biopsies may have potential to provide tumor-specific insight toward diagnosis, prognosis and precision treatment. Currently, routine methods for fusion detection using fluorescent in-situ hybridization (FISH) provide a low-resolution view of the aberrant fusion transcript. We describe an RNA-Seq approach designed to survey cancer fusions in a single assay by selectively enriching the cancer transcriptome using probes that target the coding regions of over 1385 cancer-associated genes. We tested the performance of the 1385 gene, RNA-Seq Pan-Cancer panel on RNA extracted from 47 patient-derived samples from brain, sarcoma and leukemia, including blood, bone marrow, and formalin-fixed paraffin-embedded (FFPE) samples. Each sample harbored at least one orthogonally verified gene fusion transcript, previously confirmed by FISH or Reverse Transcriptase PCR (RT-PCR). RNA-Seq libraries were prepared from 10-100 ng of total RNA from blood or bone marrow and 20-200 ng total RNA from FFPE tissue and subsequently enriched by hybridization to the Pan-Cancer panel. All samples yielded sufficient library and were sequenced with 76 base-pair paired-end reads on an Illumina MiSeq at 8 samples per flow cell (∼3 million reads per sample). Sequencing data was analyzed using RNA-Seq with STAR aligner and Manta fusion caller. Using this capture-based single-assay approach, we successfully detected fusions commonly associated with leukemia (BCR-ABL1, MLL-MLLT3, MLL-AFF1, RUNX1-ETV6, EBF1-PDGFRB, TCF3-PBX1, IKZF1-PAX5), sarcoma (EWSR1-ATF1, EWSR1-FLI1, JAZF1-SUZ12, SS18-SSX, FUS-DDIT3, FUS-KLF17, YWHAE-FAM22B) and brain cancer (KIAA1459-BRAF) consistent with previously confirmed RT-PCR or FISH results. Several examples of previously unknown fusion partners or additional structural information that were not identified from the FISH or RT-PCR testing were also uncovered in this study. These cases are described in detail. In summary, we show that selective enrichment of RNA-Seq libraries with cancer-specific probes enables detection of known and novel fusions across a broad range of cancer pathologies in a single reaction, creating new opportunities for discovery and translational cancer studies. Citation Format: Lisa C. Watson, Stephen M. Gross, Felix Schlesinger, Anthony Mai, Mariko Kellogg, Steve Lee, Claire Attwooll, Monica Brenca, David Swanson, Andrew Wong, Angelo P. Dei Tos, Claudia Haferlach, Torsten Haferlach, Wolfgang Kern, Roberta Maestro, Manja Meggendorfer, Niroshan Nadarajah, Maurizio Polano, Sabrina Rossi, Marta Sbaraglia, George S. Charames, Gary P. Schroth, Grace DeSantis. Enhancing the resolution and accelerating the pace of translational fusion characterization in oncology by RNA sequencing. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr LB-329.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
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  • 2
    In: Cancer Discovery, American Association for Cancer Research (AACR), Vol. 11, No. 11 ( 2021-11-01), p. 2846-2867
    Abstract: Lineage-ambiguous leukemias are high-risk malignancies of poorly understood genetic basis. Here, we describe a distinct subgroup of acute leukemia with expression of myeloid, T lymphoid, and stem cell markers driven by aberrant allele-specific deregulation of BCL11B, a master transcription factor responsible for thymic T-lineage commitment and specification. Mechanistically, this deregulation was driven by chromosomal rearrangements that juxtapose BCL11B to superenhancers active in hematopoietic progenitors, or focal amplifications that generate a superenhancer from a noncoding element distal to BCL11B. Chromatin conformation analyses demonstrated long-range interactions of rearranged enhancers with the expressed BCL11B allele and association of BCL11B with activated hematopoietic progenitor cell cis-regulatory elements, suggesting BCL11B is aberrantly co-opted into a gene regulatory network that drives transformation by maintaining a progenitor state. These data support a role for ectopic BCL11B expression in primitive hematopoietic cells mediated by enhancer hijacking as an oncogenic driver of human lineage-ambiguous leukemia. Significance: Lineage-ambiguous leukemias pose significant diagnostic and therapeutic challenges due to a poorly understood molecular and cellular basis. We identify oncogenic deregulation of BCL11B driven by diverse structural alterations, including de novo superenhancer generation, as the driving feature of a subset of lineage-ambiguous leukemias that transcend current diagnostic boundaries. This article is highlighted in the In This Issue feature, p. 2659
    Type of Medium: Online Resource
    ISSN: 2159-8274 , 2159-8290
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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  • 3
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    American Association for Cancer Research (AACR) ; 2017
    In:  Cancer Research Vol. 77, No. 13_Supplement ( 2017-07-01), p. 2707-2707
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. 2707-2707
    Abstract: Introduction: The genomic landscape of hematological malignancies has been resolved mainly based on whole exome and whole genome sequencing, primarily targeting gene mutations. In addition to mutations, gene fusions have also been identified as therapeutic targets, impressively shown e.g. for BCR-ABL1 and ETV6-PDGFRB. Even though fluorescence in situ hybridization (FISH) is the current gold standard in fusion detection, it is by concept limited to the selected genes it is applied to. In contrast, targeted RNA sequencing is a valuable hypothesis-free approach to discover all possible fusion junctions in a single reaction. Aim: Explore the value of targeted RNA sequencing in a routine diagnostic work up. Patients and Methods: We sequenced 134 cases in parallel to our routine diagnostics workflow using chromosome banding analysis (CBA), FISH and real-time quantitative (RQ-PCR). Targeted RNA sequencing was performed on the NextSeq 500 using the TruSight RNA Fusion panel (Illumina, San Diego, CA) consisting of 7690 probes covering 507 genes known to be involved in gene fusions. Analysis was performed with the RNA-Seq Alignment App v1.2.0 (BaseSpace Sequence Hub) using Star for Alignment and Manta for gene fusion calling with default parameters (Illumina, San Diego, CA). Results: In 127 of 134 (95%) cases the results of FISH, subsequently confirmed with RT-PCR were also picked up by RNA Seq. This included diagnostically highly relevant fusions like BCR-ABL1 (n=8), KMT2A rearrangements (n=7), PML-RARA (n=4), and ETV6 and NPM1 rearrangements. In addition to the confirmation of orthogonal results, we were able to identify novel rare gene fusions, which we subsequently confirmed by RQ-PCR. This included immediately targetable fusions like TNIP1-PDGFRB and ETV6-EFL1, ETV6-FOXO1, IRF2PB1-RARA, RARA-SAE1). Conclusion: 1) In the vast majority of instances targeted RNA sequencing confirmed results obtained by FISH/RT-PCR and in addition discovered new rare gene fusions 2) Targetable genetic aberrations were identified, which were not identifiable by chromosome banding analysis but would now lead to more individualized treatment. 3) Thus, targeted RNA sequencing may be a valuable tool in routine diagnostics and for patients with rearrangements unresolved by standard techniques, also paving the way to precision medicine in a considerable number of patients. Citation Format: Niroshan Nadarajah, Manja Meggendorfer, Torsten Haferlach, Wolfgang Kern, Claudia Haferlach. Targeted RNA sequencing reveals thus far unknown diagnostically relevant fusion partners confirming its diagnostic potential [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2707. doi:10.1158/1538-7445.AM2017-2707
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
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  • 4
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 73, No. 8_Supplement ( 2013-04-15), p. 4602-4602
    Abstract: Recent genetic studies have revealed a number of novel gene mutations in myeloid malignancies, unmasking an unexpected role of deregulated histone modification and DNA methylation in myeloid neoplasms. However, our knowledge about the spectrum of gene mutations in myeloid neoplasms is still incomplete. So, we analyzed 50 paired tumor-normal samples of myeloid neoplasms using whole exome sequencing, among which we identified recurrent mutations involving STAG2, a core cohesin component, and two other cohesin components, including STAG1 and PDS5B. Cohesin is a multimeric protein complex which is composed of four core subunits (SMC1, SMC3, RAD21 and STAG proteins), and is engaged in cohesion of sister chromatids, DNA repair and transcriptional regulation. To extend the findings in the whole-exome analysis, an additional 534 primary samples of various myeloid neoplasms was examined for mutations and deletions in a total of 9 components of the cohesin complexes, using high-throughput sequencing and SNP arrays. In total, mutations/deletions were found in a variety of myeloid neoplasms, including AML (22/131), CMML (15/86), MDS (26/205), in a mutually exclusive manner. Cohesin mutations frequently coexisted with other common mutations in myeloid neoplasms, significantly associated with spliceosome mutations. Deep sequencing of these mutant alleles revealed that majority of the cohesin mutations existed in the major tumor populations, indicating their early origin during leukemogenesis. Next, we examined several myeloid leukemia cell lines with or without cohesin mutations for expression of each cohesin component and their chromatin-bound fractions. Interestingly, the chromatin-bound fraction of several components of cohesin was significantly reduced in cell lines having mutated or defective cohesin components, suggesting substantial loss of cohesin-bound sites on chromatin. Finally, we introduced the wild-type RAD21 allele into RAD21-mutated cell lines (Kasumi-1), which effectively suppressed the proliferation of Kasumi-1, supporting a leukemogenic role of compromised cohesin functions. Less frequent mutations of cohesin components have been described in other cancers, where impaired cohesion and consequent aneuploidy were implicated in oncogenic action. However, about half of cohesin-mutated cases in our cohort had completely normal karyotypes, suggesting that cohesin-mutated cells were not clonally selected because of aneuploidy. Of note, the number of mutations determined by our whole exome analysis was significantly higher in cohesin-mutated cases compared to non-mutated cases. Since cohesin participates in post-replicative DNA repair, this may suggest that compromised cohesin function could induce DNA hypermutability and contribute to leukemogenesis. In conclusion, our findings highlight a possible role of compromised cohesin functions in myeloid leukemogenesis. Citation Format: Ayana Kon, Lee-Yung Shih, Masashi Minamino, Masashi Sanada, Yuichi Shiraishi, Yasunobu Nagata, Kenichi Yoshida, Yusuke Okuno, Masashige Bando, Shunpei Ishikawa, Aiko Sato-Otsubo, Genta Nagae, Aiko Nishimoto, Claudia Haferlach, Daniel Nowak, Yusuke Sato, Tamara Alpermann, Teppei Shimamura, Hiroko Tanaka, Kenichi Chiba, Ryo Yamamoto, Tomoyuki Yamaguchi, Makoto Otsu, Naoshi Obara, Mamiko Sakata-Yanagimoto, Tsuyoshi Nakamaki, Ken Ishiyama, Florian Nolte, Wolf-Karsten Hofmann, Shuichi Miyawaki, Shigeru Chiba, Hiraku Mori, Hiromitsu Nakauchi, H. Phillip Koeffler, Hiroyuki Aburatani, Torsten Haferlach, Katsuhiko Shirahige, Satoru Miyano, Seishi Ogawa. Recurrent pathway mutations of multiple components of cohesin complex in myeloid neoplasms. [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 4602. doi:10.1158/1538-7445.AM2013-4602
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2013
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  • 5
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    American Association for Cancer Research (AACR) ; 2016
    In:  Cancer Research Vol. 76, No. 14_Supplement ( 2016-07-15), p. 1514-1514
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 14_Supplement ( 2016-07-15), p. 1514-1514
    Abstract: Introduction: In 2015 the FDA issued a call to the public to receive feedback on FDA's regulatory approaches to diagnostic tests using next generation sequencing technology. For the clinical performance of such tests one of the proposals was to use community-derived databases to classify variants, especially ClinVar, conceived as a clinically grade database. To test this we here applied ultra-deep sequencing and subsequent mutation profiling in patients with myelodysplastic syndomes (MDS). Aim: Investigate the performance of public databases and mutation impact prediction software for the interpretation and distinct classification of variants of a well-characterized MDS mutation dataset (Haferlach et al, Leukemia 2014). Patients and Methods: A total of 944 patients with various MDS subtypes were screened for gene mutations in 104 known/putative genes relevant to MDS using targeted deep-sequencing (Illumina, San Diego, CA). For this assessment the following databases were used: ClinVar (release 2015-11), COSMIC (v73) and dbSNP (v142). Additionally, mutations were computationally tested for their severity of impact on protein level using PolyPhen-2 and SIFT. Results: In total, 845/944 patients (89.5%) harbored at least one mutation (median, 3 per patient; range, 0-12). A total of 2764 variants were called, among them 1,608 being distinct in 96 genes. Assessment was conducted by submitting positional information of each mutation to the database/prediction software. ClinVar yielded information for 141 (9%) of the mutations, with TP53 being the best-characterized gene out of 34, comprising of 33 entries (23%). Querying COSMIC yielded information for 671 (42%) mutations in 61 genes, with a subset of them being particularly well characterized (TET2, TP53, DNMT3A, and ASXL1). 255/1608 variants were listed in dbSNP. In the majority of instances, no global minor allele frequency (MAF, frequency of occurrence in the population of a variant base) is given and the validation status lists only a single submitter, indicating poorer reliability. Additionally, we analyzed the mutations with two tools (PolyPhen-2, SIFT) to predict the possible impact of an amino acid substitution on the structure and function of human proteins. Results were available for 1137/1608 mutations. In 72% (820/1137) results were concordant, but surprisingly in 28% (317/1137) instances, results were contradicting, leaving them non-interpretable based on the combined use of both tools. Conclusion: 1) Assessment demonstrates that current methods for variant interpretation using publicly available databases have to be improved for the characterization of mutations in patients with myeloid neoplasms. 2) So far COSMIC seems to outperform ClinVar. 3) Tools for novel mutations (no record in any databases) seem to perform well in quite a few instances, but a consensus of multiple tools is needed due to contradicting results. Citation Format: Niroshan Nadarajah, Manja Meggendorfer, Wolfgang Kern, Claudia Haferlach, Torsten Haferlach. Significance assessment of mutations in 944 MDS patients using publicly available variant databases and mutation impact prediction software. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1514.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 4259-4259
    Abstract: The confluence of deep sequencing and powerful machine learning is providing an unprecedented peek at the darkest of the dark genomic matter. While deep sequencing uncovers rare tumor variants, the heterogeneity of the disease confounds the best of machine learning (ML) algorithms. Here we set out to answer if the dark-matter of the genome encompass signals that can classify the fine subtypes of disease that are otherwise gnomically indistinguishable. We introduce a novel stochastic regularization, ReVeal, that empowers ML to classify subtle cancer subtypes even from the same ‘cell of origin’. Analogous to heritability, implicitly defined on whole genome, we use predictability (F1 score) definable on portions of the genome. In an effort to classify cancer subtypes using dark-matter DNA, we applied ReVeal to a new WGS dataset from 727 patient samples with seven forms of hematological cancers and assessed the predictivity over several genomic regions including genic, non-dark, non-coding, non-genic, dark. ReVeal allowed the classification of all segments of the genome better than standard ML algorithms. The non-genic, non-coding and the dark-matter had the highest F1 scores with dark-matter having the highest level of predictability (F1 = 0.78). Based on ReVeal’s predictability of different sectors of the genome, dark matter contains signal significant enough to classify fine subtypes of disease. The agglomeration of rare variants, even in the hitherto unannotated and ill-understood regions of the genome, may play a substantial role in the disease etiology and deserve much more attention. Citation Format: Laxmi Parida, Claudia Haferlach, Kahn Rhrissorrakrai, Filippo Utro, Chaya Levovitz, Kern Wolfgang, Niroshan Nadarajah, Stephan Hutter, Manja Meggendorfer, Wencke Walter, Constance Baer, Torsten Haferlach. Defining subtle cancer subtypes using the darkest DNA [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4259.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 72, No. 8_Supplement ( 2012-04-15), p. 5119-5119
    Abstract: MDS are a group of myeloid neoplasms characterized by deregulated blood cell production and a high propensity to AML. Although a number of gene alterations have been implicated in the pathogenesis of MDS, they do not fully explain the pathogenesis of MDS. So, in order to clarify a comprehensive registry of gene mutations in MDS, we performed whole-exome sequencing of 29 cases with MDS and related myeloid neoplasm. A total of 268 somatic mutations or 9.2 mutations per sample were identified. Among these 9 genes were mutated in more than 2 cases, which not only included a spectrum of known gene targets in MDS, but also affected previously unknown genes that are commonly involved in RNA splicing pathway, including U2AF35, SRSF2 and ZRSR2. Together with additional three (SF3A1, SF3B1 and PRPF40B) found in single cases, 16 (55.2%) of the 29 discovery cases carried a mutation affecting the component of the splicing machinery. To confirm the observation, we examined 9 spliceosome genes for mutations in a large set of myeloid neoplasms. In total, 219 mutations were identified in 209 out of the 582 samples of myeloid neoplasms. RNA splicing pathway mutations were highly specific to myelodysplasia, including 19 of 23 (83%) cases with RARS, 43 of 50 (86%) RCMD-RS, 68 of 155 (44%) other MDS, 48 of 88 (55%) CMML, and 16 of 62 (26%) secondary AML with MDS features with a string preference of SF3B1 mutations to RARS and RCMD-RS and of SRSF2 to CMML, while they were rare in cases with de novo AML and MPN. Significantly, these mutations occurred in an almost completely mutually exclusive manner among mutated cases, suggesting the importance of deregulated RNA splicing in the pathogenesis of MDS. RNA splicing plays critical roles in differentiation, development, and disease and is a major source for protein diversity in higher eukaryotes. Splicing pathway mutations in myelodysplasia commonly affected those components of the splicing complex that are engaged in the 3′ splice site recognition, strongly indicating production of unspliced or aberrantly spliced RNA species are incriminated for the pathogenesis of MDS. So, to clarify the effect of these splicing mutations on RNA splicing, we expressed the wild-type and the mutant U2AF35 or SRSF2 in HeLa cells and performed whole transcriptome analysis in these cells. The results of exon array showed that the wild-type U2AF35 promoted RNA splicing correctly, whereas the mutant U2AF35 inhibited this processes and rendered intronic sequences to remain unspliced. RNA sequencing additionally showed that the number of reads that encompassed the exon/intron junctions was significantly increased in mutant U2AF35-transduced cells. This result means that mutant U2AF35 actually induced impaired 3′-splice site recognition during pre-mRNA processing. In conclusion, our study demonstrated that abnormal RNA splicing caused by mutations of multiple genes on RNA splicing pathway is a common feature of myelodysplasia. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5119. doi:1538-7445.AM2012-5119
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2012
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  • 8
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    American Association for Cancer Research (AACR) ; 2018
    In:  Cancer Research Vol. 78, No. 13_Supplement ( 2018-07-01), p. 3275-3275
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 3275-3275
    Abstract: Introduction: Evaluating the pathogenicity of a variant is challenging given the plethora of types of genetic evidence that laboratories have to consider. Deciding how to weigh each type of evidence is difficult, and standards are needed. In 2017, AMP/ASCO/CAP released a joint consensus recommendation proposing a four-tiered system to categorize somatic sequence variations based on their clinical significance in cancer diagnosis, prognosis, and/or therapeutic. Aim: Evaluate how the AMP/ASCO/CAP guidelines compare to an accredited laboratory approach to variant classification and explore the variance in the use and interpretation of the pathogenicity criteria. Identifying disease-contributory variants for various human genetic diseases will greatly improve diagnosis and facilitate development of therapies. Patients and Methods: 50 cases with myeloid malignancies were selected, analyzed either with a 26 genes myeloid panel (ThunderStorm Target Enrichment library; Raindance, Billerica, MA) or a 63 genes panel (TruSeq Custom Amplicon; Illumina, San Diego, CA). Alignment and Variant calling was performed with JSI SeqPilot (JSI Medisys, Ettenheim, Germany). Molecular geneticists in the lab annotated each variant manually in a 3-tier system (pathogenic, uncertain significance, benign) given the lab's SOP for variant classification. Each variant was checked against the following databases: COSMIC (v76), ClinVar, dbSNP (v147) and IARC TP53 (r17). Population frequency information was extracted from ExAC. Mutation impact prediction was performed using PolyPhen-2, SIFT and VEP. Results: Among the 50 cases 681 variants were classified during routine workup according to SOPs accredited by EN ISO15189, subsequent to the elimination of sequencing artefacts. 405 were classified as benign, 52 with variant of uncertain significance (VUS) and 224 as pathogenic. Using the computed classification yielded 377 Tier IV (Benign), 184 Tier III (Unknown clinical significance), 93 Tier II (Potential clinical significance) and 27 Tier I (Strong clinical significance). To be able to compare, Tier I and II were binned. In 80% (542/681) of instances both approaches are concordant. 4 variants classified diagnostically discrepant (3 VUS to Tier I/II, 1 benign variant to Tier II) (Table 1). Manual interrogation revealed these were difficult variants with scarce public data and poor concordance of prediction tools. Conclusion: Systematic evaluation of an automated classification based on AMP/ASCO/CAP with manual curated data found a concordance rate of 80%. The automated approach seems to be more cautious, thus the bias towards more VUS calls, which is preferable to miscalls. The guidelines seem to yield results sufficiently good for clinical use, especially for labs with little experience in variant classification and a big step forward regarding standardization. Citation Format: Niroshan Nadarajah, Manja Meggendorfer, Claudia Haferlach, Wolfgang Kern, Torsten Haferlach. Comparison of somatic variant interpretation results between human experts and automated classification using AMP/ASCO/CAP guidelines [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3275.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 9
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 5788-5788
    Abstract: The DNA damage response (DDR) pathway is frequently deregulated in cancer and it represent an attractive therapeutic opportunity. In acute myeloid leukemia (AML), different mechanisms of DDR deregulation have been identified, but a systematic investigation on DDR alterations is missing. To understand how the DDR pathways contribute to leukemogenesis, we studied the gene expression and mutational profiles of 274 DDR genes by analysing 539 AML cases profiled by whole genome (WGS) and RNA sequencing. WGS data were used to identify mutations in genes of the DDR and in a panel of genes known to be mutated in AML (n=73). Transcriptomic data were analysed through unsupervised clustering, differential expression and enrichment analysis. We detected 150 single nucleotide variants (SNVs) in 130 patients (24%, average 0.3 SNVs/case). Genes mutated in more than 1% of cases were ATM, BLM, BRCA2, POLG and POLQ. The most frequently altered pathway was the homologous recombination/Fanconi Anemia (HR) pathway (29%), followed by the genes that coordinates the DDR pathway (20%). We detected a trend toward mutual exclusivity between mutations in TP53 and mutations in genes of HR pathway or the genes that coordinates the DDR pathway (adj-p & lt;0.02). To further investigate the interplay between TP53 mutations and the HR pathway, we analysed the expression profiles of HR genes in 539 patients. We identified two groups of patients having higher (HR-high) or lower (HR-low) expression levels of HR genes. A panel of 5 genes was able to discriminate patients between the two groups (BRCA1, RAD54B, RMI2, UBE2T and XRCC2; AUC=0.9). Enrichment analysis on differentially expressed genes and gene set enrichment analysis showed that the cell cycle pathway, together with the G2/M transition/mitotic phase, E2F targets and the fatty acid metabolism pathways were upregulated in HR-high patients, while the pRB, EZH2, RPS14 and HOXA9 pathways were downregulated. Moreover, we observed that AML expressing CBFB-MYH1, RUNX1-RUNXT1 or carrying RAD21 mutations had higher chances to express lower levels of HR genes (HR-low), while patients with STAG2, SRSF2, U2AF1, FLT3-ITD alterations had higher chances of having higher expression of HR genes (p & lt;0.05). NPM1-mutated cases without FLT3-ITD clustered within the HR-low profile (adj-p & lt;0.05), while TP53 mutated cases tended to cluster in the HR-high group, although statistical significance was not reached. In conclusion, our data showed the presence of alterations in the DDR pathway that might be the reflection of driver events in AML. Functional studies will elucidate the functional impact of these alterations. The results suggested the presence of a therapeutic window that might be exploited with DDR inhibitors in molecularly-defined subgroups of patients. Supported by the Torsten Haferlach-Leukämiediagnostik-Stiftung and AIRC IG 2019 (project 23810). Citation Format: Antonella Padella, Stephan Hutter, Wencke Walter, Constance Baer, Irene Azzali, Andrea Ghelli Luserna Di Rorà, Martina Ghetti, Lorenzo Ledda, Matteo Paganelli, Claudia Haferlach, Wolfgang Kern, Giorgia Simonetti, Giovanni Martinelli, Torsten Haferlach. Genomic and transcriptomic profiles of DNA damage response genes in acute myeloid leukemia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5788.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 10
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 29, No. 1 ( 2023-01-04), p. 279-288
    Abstract: Proteasome inhibitors (PI) are the backbone of various treatment regimens in multiple myeloma. We recently described the first in-patient point mutations affecting the 20S subunit PSMB5 underlying PI resistance. Notably, in vivo, the incidence of mutations in PSMB5 and other proteasome encoding genes is too low to explain the development of resistance in most of the affected patients. Thus, additional genetic and epigenetic alterations need to be explored. Experimental Design: We performed DNA methylation profiling by Deep Bisulfite Sequencing in PSMB5, PSMC2, PSMC5, PSMC6, PSMD1, and PSMD5, a subset of proteasome subunits that have hitherto been associated with PI resistance, recruited from our own previous research, the literature, or a meta-analysis on the frequency of somatic mutations. Methylation was followed up on gene expression level and by dual-luciferase reporter assay. The KMS11 cell line served as a model to functionally test the impact of demethylating agents. Results: We identified PSMD5 promoter hypermethylation and subsequent epigenetic gene silencing in 24% of PI refractory patients. Hypermethylation correlated with decreased expression and the regulatory impact of this region was functionally confirmed. In contrast, patients with newly diagnosed multiple myeloma, along with peripheral blood mononuclear cells and CD138+ plasma cells from healthy donors, generally show unmethylated profiles. Conclusions: Under the selective pressure of PI treatment, multiple myeloma cells acquire methylation of the PSMD5 promoter silencing the PSMD5 gene expression. PSMD5 acts as a key orchestrator of proteasome assembly and its downregulation was described to increase the cell's proteolytic capacity. PSMD5 hypermethylation, therefore, represents a novel mechanism of PI tolerance in multiple myeloma.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
    detail.hit.zdb_id: 1225457-5
    detail.hit.zdb_id: 2036787-9
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