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  • 11
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    Two Novel Distinct Subtypes of Myeloid Neoplasms Molecularly Associated with Histone H3K36 Methylations
    American Society of Hematology ; 2015
    In:  Blood Vol. 126, No. 23 ( 2015-12-03), p. 2841-2841
    Details
    In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 2841-2841
    Abstract: Myelodysplastic syndromes (MDS) and related disorders are a heterogeneous group of chronic myeloid neoplasms with a high propensity to acute myeloid leukemia. A cardinal feature of MDS, as revealed by the recent genetic studies, is a high frequency of mutations and copy number variations (CNVs) affecting epigenetic regulators, such as TET2, IDH1/2, DNMT3A, ASXL1, EZH2, and other genes, underscoring a major role of deregulated epigenetic regulation in MDS pathogenesis. Meanwhile, these mutations/deletions have different impacts on the phenotype and the clinical outcome of MDS, suggesting that it should be important to understand the underlying mechanism for abnormal epigenetic regulation for better classification and management of MDS. SETD2 and ASH1L are structurally related proteins that belong to the histone methyltransferase family of proteins commonly engaged in methylation of histone H3K36. Both genes have been reported to undergo frequent somatic mutations and copy number alterations, and also show abnormal gene expression in a variety of non-hematological cancers. Moreover, germline mutation of SETD2 has been implicated in overgrowth syndromes susceptible to various cancers. However, the role of alterations in these genes has not been examined in hematological malignancies including myelodysplasia. In this study, we interrogated somatic mutations and copy number variations, among a total of 1116 cases with MDS and myelodysplastic/myeloproliferative neoplasms (MDS/MPN), who had been analyzed by target deep sequencing (n=944), and single nucleotide polymorphism-array karyotyping (SNP-A) (n=222). Gene expression was analyzed in MDS cases and healthy controls, using publically available gene expression datasets. SETD2 mutations were found in 6 cases, including 2 with nonsense and 4 with missense mutations, and an additional 10 cases had gene deletions spanning 1.8-176 Mb regions commonly affecting the SETD2 locus in chromosome 3p21.31, where SETD2 represented the most frequently deleted gene within the commonly deleted region. SETD2 deletion significantly correlated with reduced SETD2 expression. Moreover, MDS cases showed a significantly higher SETD2 expression than healthy controls. In total, 16 cases had either mutations or deletions of the SETD2 gene, of which 70% (7 out of 10 cases with detailed diagnostic information) were RAEB-1/2 cases. SETD2 -mutated/deleted cases had frequent mutations in TP53 (n=4), SRSF2 (n=3), and ASXL1 (n=3) and showed a significantly poor prognosis compared to those without mutations/deletions (HR=3.82, 95%CI; 1.42-10.32, P=0.004). ASH1L, on the other hand, was mutated and amplified in 7 and 13 cases, respectively, of which a single case carried both mutation and amplification with the mutated allele being selectively amplified. All the mutations were missense variants, of which 3 were clustered between S1201 and S1209. MDS cases showed significantly higher expression of ASH1L compared to healthy controls, suggesting the role of ASH1L overexpression in MDS development. Frequent mutations in TET2 (n=8) and SF3B1 (n=6) were noted among the 19 cases with ASH1L lesions. RAEB-1/2 cases were less frequent (n=11) compared to SETD2-mutated/deleted cases. ASH1L mutations did not significantly affect overall survival compared to ASH1L-intact cases. Gene Set Expression Analysis (Broad Institute) on suppressed SETD2 and accelerated ASH1L demonstrated 2 distinct expression signatures most likely due to the differentially methylated H3K36. We described recurrent mutations and CNVs affecting two histone methyltransferase genes, which are thought to represent novel driver genes in MDS involved in epigenetic regulations. Given that SETD2 overexpression and reduced ASH1L expression are found in as many as 89% of MDS cases, deregulation of both genes might play a more role than expected from the incidence of mutations and CNVs alone. Although commonly involved in histone H3K36 methylation, both methyltransferases have distinct impacts on the pathogenesis and clinical outcome of MDS in terms of the mode of genetic alterations and their functional consequences: SETD2 was frequently affected by truncating mutations and gene deletions, whereas ASH1L underwent gene amplification without no truncating mutations, suggesting different gene targets for both methyltransferases, which should be further clarified through functional studies. Disclosures Alpermann: MLL Munich Leukemia Laboratory: Employment. Nadarajah:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Shih:Novartis: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    URL: Article
    DOI: 10.1182/blood.V126.23.2841.2841
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2015
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  • 12
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    Genetic Basis of Myeloid Proliferation Related to Down Syndrome
    American Society of Hematology ; 2012
    In:  Blood Vol. 120, No. 21 ( 2012-11-16), p. 535-535
    Details
    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 535-535
    Abstract: Abstract 535 Background Transient abnormal myelopoiesis (TAM) represents a self-limited proliferation exclusively affecting perinatal infants with Down syndrome (DS), morphologically and immunologically characterized by immature blasts indistinguishable from acute megakaryoblastic leukemia (AMKL). Although spontaneous regression is as a rule in most cases, about 20–30% of the survived infants develop non-self-limited AMKL (DS-AMKL) 3 to 4 years after the remission. As for the molecular pathogenesis of these DS-related myeloid proliferations, it has been well established that GATA1 mutations are detected in virtually all TAM cases as well as DS-AMKL. However, it is still open to question whether a GATA1 mutation is sufficient for the development of TAM, what is the cellular origin of the subsequent AMKL, whether additional gene mutations are required for the progression to AMKL, and if so, what are their gene targets, although several genes have been reported to be mutated in occasional cases with AMKL, including JAK2/3, TP53 and FLT3. Methods To answer these questions, we identify a comprehensive spectrum of gene mutations in TAM/AMKL cases using whole genome sequencing of three trio samples sequentially obtained at initial presentation of TAM, during remission and at the subsequent relapse phase of AMKL. Whole exome sequencing was also performed for TAM (N=16) and AMKL (N=15) samples, using SureSelect (Agilent) enrichment of 50M exomes followed by high-throughput sequencing. The recurrent mutations in the discovery cohort were further screened in an extended cohort of DS-AMKL (N = 35) as well as TAM (N = 26) and other AMKL cases (N = 19) using target deep sequencing. Results TAM samples had significantly fewer numbers of somatic mutations compared to AMKL samples with the mean numbers of all mutations of 30 (1.0/Mb) and 180 (6.0/Mb) per samples in whole genome sequencing or non-silent somatic mutations of 1.73 and 5.71 per sample in whole exome sequencing in TAM and AMKL cases, respectively (p=0.001). Comprehensive detections of the full spectrum of mutations together with subsequent deep sequencing of the individual mutations allowed to reveal more complicated clonological pictures of clonal evolutions leading to AMKL. In every patient, the major AMKL clones did not represent the direct offspring from the dominant TAM clone. Instead, the direct ancestor of the AMKL clones could be back-traced to a more upstream branch-point of the evolution before the major TAM clone had appeared or, as previously reported, to an earlier founder having an independent GATA1 mutation. Intratumoral heterogeneity was evident at the time of diagnosis as the presence of major subpopulations in both TAM and AMKL populations, which were more often than not characterized by RAS pathway mutations. While GATA1 was the only recurrent mutational target in the TAM phase, 8 genes were recurrently mutated in AMKL samples in whole genome/exome sequencing, including NRAS, TP53 and other novel gene targets that had not been previously reported to be mutated in other neoplasms. The recurrent mutations found in the discovery cohort, in addition to known mutational targets in myeloid malignancies, were screened in an extended cohort of DS-associated myeloid disorders (N=61) as well as other AMKL cases, using high-throughput sequencing of SureSelect-captured and/or PCR amplified targets. Secondary mutations other than GATA1 mutations were found in 3 out of 26 TAM, 20 out of 35 DS-AMKL and 4 out of 19 other AMKL cases. Conclusion TAM is characterized by a paucity of somatic mutations and thought to be virtually caused by a GATA1 mutation in combination with constitutive trisomy 21. Subsequent AMKL evolved from a minor independent subclone acquiring additional mutations. Secondary genetic hits other than GATA1 mutations were common, where deregulated epigenetic controls as well as abnormal signaling pathway mutations play a major role. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    URL: Article
    DOI: 10.1182/blood.V120.21.535.535
    RVK:
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    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
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  • 13
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    Recurrent Mutations of Multiple Components of Cohesin Complex in Myeloid Neoplasms
    American Society of Hematology ; 2012
    In:  Blood Vol. 120, No. 21 ( 2012-11-16), p. 782-782
    Details
    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 782-782
    Abstract: Abstract 782 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 both acute and chronic myeloid neoplasms. However, our knowledge about the spectrum of gene mutations in myeloid neoplasms is still incomplete. In the previous study, we analyzed 29 paired tumor-normal samples with chronic myeloid neoplasms with myelodysplastic features using whole exome sequencing (Yoshida et al., Nature 2011). Although the major discovery was frequent spliceosome mutations tightly associated with myelodysplasia phenotypes, hundreds of unreported gene mutations were also identified, among which we identified recurrent mutations involving STAG2, a core cohesin component, and also two other cohesin components, including STAG1 and PDS5B. Cohesin is a multimeric protein complex conserved across species and is composed of four core subunits, i.e., SMC1, SMC3, RAD21 and STAG proteins, together with several regulatory proteins. Forming a ring-like structure, cohesin is engaged in cohesion of sister chromatids in mitosis, post-replicative DNA repair and regulation of gene expression. To investigate a possible role of cohesin mutations in myeloid leukemogenesis, an additional 534 primary specimens of various myeloid neoplasms was examined for mutations in a total of 9 components of the cohesin and related complexes, using high-throughput sequencing. Copy number alterations in cohesin loci were also interrogated by SNP arrays. In total, 58 mutations and 19 deletions were confirmed by Sanger sequencing in 73 out of 563 primary myeloid neoplasms (13%). Mutations/deletions were found in a variety of myeloid neoplasms, including AML (22/131), CMML (15/86), MDS (26/205) and CML (8/65), with much lower mutation frequencies in MPN (2/76), largely in a mutually exclusive manner. In MDS, mutations were more frequent in RCMD and RAEB (19.5%) but rare in RA, RARS, RCMD-RS and 5q- syndrome (3.4%). Cohesin mutations were significantly associated with poor prognosis in CMML, but not in MDS cases. Cohesin mutations frequently coexisted with other common mutations in myeloid neoplasms, significantly associated with spliceosome mutations. Deep sequencing of these mutant alleles was performed in 19 cases with cohesin mutations. Majority of the cohesin mutations (16/19) existed in the major tumor populations, indicating their early origin during leukemogenesis. Next, we investigated a possible impact of mutations on cohesin functions, where 17 myeloid leukemia cell lines with or without cohesin mutations were examined for expression of each cohesin component and their chromatin-bound fractions. Interestingly, the chromatin-bound fraction of one or more components of cohesin was substantially reduced in cell lines having mutated or defective cohesin components, suggesting substantial loss of cohesin-bound sites on chromatin. Finally, we examined the effect of forced expression of wild-type cohesin on cell proliferation of cohesin-defective cells. Introduction of the wild-type RAD21 and STAG2 suppressed the cell growth of RAD21- (Kasumi-1 and MOLM13) and STAG2-defective (MOLM13) cell lines, respectively, 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, 23 cohesin-mutated cases of our cohort had completely normal karyotypes, suggesting that cohesin-mutated cells were not clonally selected because of aneuploidy. Alternatively, a growing body of evidence suggests that cohesin regulate gene expression, arguing for the possibility that cohesin mutations might participate in leukemogenesis through deregulated gene expression. Of additional note, the number of non-silent mutations determined by our whole exome analysis was significantly higher in 6 cohesin-mutated cases compared to non-mutated cases. Since cohesin also participates in post-replicative DNA repair, this may suggest that compromised cohesin function could induce DNA hypermutability and contribute to leukemogenesis. In conclusion, we report a new class of common genetic targets in myeloid malignancies, the cohesin complex. Our findings highlight a possible role of compromised cohesin functions in myeloid leukemogenesis. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Equity Ownership. Alpermann:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Equity Ownership.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    URL: Article
    DOI: 10.1182/blood.V120.21.782.782
    RVK:
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    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
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  • 14
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    In Analogy to AML, MDS Can be Sub-Classified By Ancestral Mutations
    American Society of Hematology ; 2014
    In:  Blood Vol. 124, No. 21 ( 2014-12-06), p. 823-823
    Details
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 823-823
    Abstract: Somatic mutations constitute key pathogenetic elements in MDS. Unbiased whole exome sequencing (WES) and deep NGS led to discovery of new somatic mutations and also to the recognition of i) tremendous diversity of mutations and their combinations; ii) individual intra-tumor heterogeneity and clonal hierarchy. Chromosomal lesions further increase the complexity of molecular defects. While in MDS molecular defects are acquired in order, observations made in AML highlight the importance of ancestral events; e.g., t(8;21), inv16 or t(15;17) and other lesions that are used as the basis for nosological sub-classification. Thus, it is the identity of individual ancestral events or their classes rather than the spectrum of secondary events or the distribution of mutations, that will allow for molecular, functionally-relevant and diagnostically useful classification within MDS. This would explain why only a few somatic mutations have been found to be prognostically important, as their position in the clonal hierarchy has not been accounted for. With this in mind, we applied WES (N=206) and targeted deep NGS (N=836) and studied 100 samples serially with analyses focused on ancestral events. Globally, through WES we identified and validated 2386 mutational events in 1458 genes. Of these, 112 genes were mutated at significant frequencies (q 〈 0.05); groups of affected genes involved in splicing, transcription, DNA methylation, histone modification, and others were distinguished. On average, 9 somatic events per MDS case, 10.7 in secondary AML, and 12.5 in MDS/MPN were found. Resequencing in combination with SNP-array karyotyping provided information on variant allelic frequency (VAF) adjusted for corresponding zygosity of mutations; 99% of cases displayed clear intra-tumor heterogeneity due to multiple clones defined by hierarchically acquired somatic mutational patterns. Using cross-sectional analyses, the highest mean VAF could be interpreted as consistent with the ancestral nature of the mutations, as seen for instance in a proportion of TET2 and SF3B1 mutant cases. In contrast, the lowest mean VAF indicated secondary events, as occur in NPM1 and RAS pathway mutations. Similar conclusions were made based on cross-sectional analyses showing a similar distribution of ancestral but not secondary events in MDS and sAML. All gene mutations were categorized into those that are predominantly ancestral and those that are facultatively secondary. The most frequent founder mutations were identified (TET2, DNMT3A, SF3B1, ASXL1, TP53, U2AF1, RUNX1, SRSF2) and used to sub-classify approximately 80% of patients, with the remainder containing more infrequent ancestral mutations. While in a combined fashion (as both founder and secondary events) many of these mutations were not predictive of prognosis, they gained relevance when only cases affected by ancestral mutations were used for prognostication. Thus some of the mutations, when present as secondary events may not be predictive. Founding mutations may determine subsequent clinical and molecular features. While other frequently affected genes, SF3B1 or ASXL1, are not associated with a significant increase in the number of concomitant mutations, cases with TET2 mutations showed significantly more frequent mutations per case than those with wild-type TET2 (14.6 vs. 9.1; p=0.001). Moreover, ancestral TET2 mutations were associated with concomitant mutations due to high C-to-T transitions, possibly because reduced 5-hydroxymethylcytosine might create the specific mutator milieu. Most important is the association not of any type, but of ancestral mutations with certain pathomorphologic features and outcomes. Founding TET2 mutations are associated with MPN/MDS while secondary TET2 mutations are present in MDS. Ancestral DNMT3A mutations determine a rapid progression to AML, whereas subclonal DNMT3A mutations are also found in high-risk MDS. RAS pathway mutations are ancestral in CMML and also secondarily positive in the late stage of MDS (sAML). Specific ancestral events may determine subsequent mutational events, and while both types of mutation may affect the clinical phenotype, the initial events are less diverse and more subtype-specific. In conclusion, WES clarified the distinct landscape and ordering of the somatic mutational spectrum in MDS. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    URL: Article
    DOI: 10.1182/blood.V124.21.823.823
    RVK:
    XA 33000
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
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  • 15
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    Landscape Of Genetic Lesions In 944 Patients With Myelodysplastic Syndromes
    American Society of Hematology ; 2013
    In:  Blood Vol. 122, No. 21 ( 2013-11-15), p. 521-521
    Details
    In: Blood, American Society of Hematology, Vol. 122, No. 21 ( 2013-11-15), p. 521-521
    Abstract: Myelodysplastic syndromes (MDS) are a heterogeneous group of myeloid neoplasms characterized by varying degrees of cytopenias and a predisposition to acute myeloid leukemia (AML). With conspicuous clinical and biological heterogeneity in MDS, an optimized choice of treatment based on accurate diagnosis and risk stratification in individual patients is central to the current therapeutic strategy. Diagnosis and prognostication in patients with myelodysplastic syndromes (MDS) may be improved by high-throughput mutation/copy number profiling. Methods A total of 944 patients with various MDS subtypes were screened for gene mutations and deletions in 104 known/putative genes relevant to MDS using targeted deep-sequencing and/or array-based genomic hybridization. Impact of genetic lesions on overall survival (OS) was investigated by univariate analysis and a conventional Cox regression, in which the Least Absolute Shrinkage and Selection Operator (lasso) was used for selecting variables. The linear predictor from the Cox regression was then used to assign the patients into discrete risk groups. Prognostic models were constructed in a training set (n=611) and confirmed using an independent validation cohort (n=175). Results After excluding sequencing/mapping errors and known or possible polymorphisms, a total of 2,764 single nucleotide variants (SNVs) and insertions/deletions (indels) were called in 96 genes as high-probability somatic changes. A total of 47 genes were considered as statistically significantly mutated (p 〈 0.01). Only 6 genes (TET2, SF3B1, ASXL1, SRSF2, DNMT3A, and RUNX1) were mutated in 〉 10% of the cases. Less common mutations (2−10%) involved U2AF1, ZRSR2, STAG2, TP53, EZH2, CBL, JAK2, BCOR, IDH2, NRAS, MPL, NF1, ATM, IDH1, KRAS, PHF6, BRCC3, ETV6, and LAMB4. Intratumoral heterogeneity was evident in as many as 456 cases (48.3%), even though the small number of gene mutations available for evaluation was thought substantially to underestimate the real frequency. The number of observed intratumoral subpopulations tended to correlate with the number of detected mutations and therefore, advanced WHO subtypes and risk groups with poorer prognosis. Mean variant allele frequencies (VAFs) showed significant variations among major gene targets, suggesting the presence of clonogenic hierarchy among these common mutations during clonal evolution in MDS. The impact of these genetic lesions on clinical outcomes was initially investigated in 875 patients. In univariate analysis, 25 out of 48 genes tested significantly affected overall survival negatively (P 〈 0.05), and only SF3B1mutations were associated with a significantly better clinical outcome. Next, to evaluate the combined effect of these multiple gene mutations/deletions, together with common clinical/cytogenetic variables used for IPSS-R, OS was modeled by a conventional Cox regression. A total of 14 genes, together with age, gender, white blood cell counts, hemoglobin, platelet counts, cytogenetic score in IPSS-R, were finally selected for the Cox regression in a proportional hazard model and based on the linear predictor of the regression model, we constructed a prognostic model (novel molecular model), in which patients were classified into 4 risk groups showing significantly different OS (“low”, “intermediate”, “high”, and “very high risk”) with 3-year survival of 95.2%, 69.3%, 32.8%, and 5.3%, respectively (P 〈 0.001). These results demonstrated that the mutation/deletion status of a set of genes could be used as variables independent of clinical parameters to build a clinically relevant prognostic score. When applied to the validation cohort, the novel molecular model was even shown to outperform the IPSS-R. Conclusions Large-scale genetic and molecular profiling by cytogenetics, NGS and array-CGH not only provided novel insights into the pathogenesis and clonal evolution of MDS, but also helped to develop a powerful prognostic model based on gene mutations and other clinical variables that could be used for risk prediction. Molecular profiling of multiple target genes in MDS is feasible and provides an invaluable tool for improved diagnosis, biologic subclassification and especially prognostication for patients with MDS. Disclosures: Grossmann: MLL Munich Leukemia Laboratory: Employment. Bacher:MLL Munich Leukemia Laboratory: Employment. Schnittger:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Alpermann:MLL Munich Leukemia Laboratory: Employment. Roller:MLL Munich Leukemia Laboratory: Employment. Nadarajah:MLL Munich Leukemia Laboratory: Employment. Kohlmann:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    URL: Article
    DOI: 10.1182/blood.V122.21.521.521
    RVK:
    XA 33000
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2013
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  • 16
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    Abstract 3184: Integrative analysis of clear cell renal cell carcinoma.
    American Association for Cancer Research (AACR) ; 2013
    In:  Cancer Research Vol. 73, No. 8_Supplement ( 2013-04-15), p. 3184-3184
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 73, No. 8_Supplement ( 2013-04-15), p. 3184-3184
    Abstract: Clear cell renal cell carcinoma (ccRCC) is the most common form of adult kidney cancer. The most frequent genetic event in the evolution of ccRCC is inactivation of the von Hippel-Lindau (VHL) tumor suppressor gene. Recent studies have revealed frequent mutations of PBRM1 as well as other epigenetic regulators including BAP1, SETD2 and KDM5C, but their impact on therapeutics remains unclear. In this study, to obtain a better understanding of molecular pathogenesis of ccRCC, we performed an integrated genetic study of ccRCC including whole exome sequencing, copy number analysis as well as transcriptome and methylome analysis. A total of 106 paired specimens were analyzed by massively parallel sequencing of whole exomes (Agilent SureSelect, Illumina HiSeq2000) and SNP array-based copy number analysis (Affymetrix 250K array) as well as gene expression (Agilent Human Gene Expression 4x44k v2) and methylation (Illumina Infinium 450K) profiling and RNA sequencing (Illumina HiSeq2000). On average, 48.8 somatic mutations per sample were identified in whole exome analysis, in which VHL mutations were most frequent. PBRM1, BAP1 and SETD2 were also recurrently mutated and were further analyzed in 240 cases together with an additional 80 genes involved in chromatin regulation. PBRM1 mutations were found in 42% of the cases, while BAP1 and SETD2 were mutated in 12% and 10%, respectively. BAP1 mutations correlated with poor prognosis and SETD2 mutation was associated with the risk for metastatic diseases. Pathway analysis revealed frequent mutations of genes involved in mRNA processing. Among them, mutations of genes involved in 3’ splice site recognition, which were frequently mutated in MDS, were rare. Most of them were involved in release of intron, 3’-end processing or export to cytoplasm. In expression analysis, tumors were clustered into two clusters known as ccA and ccB, in which the ccA type was characterized by overexpressed genes involved in angiogenesis, whereas expression of genes in cell cycle regulators were a prominent feature in the ccB type tumors. In methylome analysis, 15 samples were clustered into hypermethylated subtype where all cases were included in the ccB type and were associated with poor prognosis. Homeobox genes were differently methylated in hypermethylated subtype which indicate deregulation of polycomb mediated gene silencing induce high-grade ccRCC. RUNX1 and SRPX2 were differently methylated between ccA type and ccB type, which may affect the differences of expression profile between two subtypes. In RNA sequencing, known fusion gene involving TFE3 and NONO was detected in single case. In total, 34 fusion genes were detected in 23 samples, although no recurrent fusion genes have been identified. Our results indicate that genomic analyses are useful for classification, prognostic prediction and development of treatment strategy in ccRCC. Citation Format: Yusuke Sato, Shigekatsu Maekawa, Yusuke Okuno, Yuichi Shiraishi, Aiko Sato, Genta Nagae, Teppei Shimamura, Yasunobu Nagata, Kenichi Yoshida, Masashi Sanada, Haruki Kume, Hiroyuki Aburatani, Satoru Miyano, Yukio Homma, Seishi Ogawa. Integrative analysis of clear cell renal cell carcinoma. [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 3184. doi:10.1158/1538-7445.AM2013-3184
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.AM2013-3184
    RVK:
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    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2013
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  • 17
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    Abstract 2092: Integrated genetic analysis of clear cell renal cell carcionoma
    American Association for Cancer Research (AACR) ; 2012
    In:  Cancer Research Vol. 72, No. 8_Supplement ( 2012-04-15), p. 2092-2092
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 72, No. 8_Supplement ( 2012-04-15), p. 2092-2092
    Abstract: Renal cell carcinoma (RCC) is the most common form of adult kidney cancer and accounts for 2-3% of all adult malignancies, in which clear cell carcinoma accounts for more than 80% of the cases. As for the pathogenesis of clear cell RCC, inactivation of the VHL gene has been reported in 80% of clear cell RCC and more recently, frequent mutations of epigenetic regulators, including PBRM1, SETD2, KDM5C and UTX, have been demonstrated through high-throughput mutation studies, including PBRM1 has been demonstrated in ∼40% of the cases. Nevertheless, probably, our knowledge of the full spectrum of gene mutations in RCC is still incomplete. In this study, to obtain a better understanding of molecular pathogenesis of clear cell RCC, we performed an integrated genetic study of clear cell RCC, where a total of 93 paired specimens were analyzed by massively parallel sequencing of SureSelect (Agilent)-enriched whole exomes, SNP array-based copy number analysis (Affymetrix), as well as gene expression profiling (Agilent). In whole exome sequencing, 42 somatic mutations per sample were identified on average, which involved not only previously reported genes, but also a number of novel gene targets. Among these, mutations of genes involved in chromatin regulation or histone modification were preferentially found in advanced cases. To understand whole picture of gene mutations of epigenetic mechanism in clear cell RCC, mutation analysis of 85 genes involved in chromatin regulation or histone modification were performed in 180 cases using multiplexed barcode sequencing. A total of 201 somatic mutations were validated and 74% cases had at least one somatic mutation. PBRM1 mutations were found in 43% cases and SETD2 were mutated in 10% of cases. When comparing clinical picture with mutation status, SETD2 mutation was associated with the risk of metastasis, while PBRM1 mutations had no impact on prognosis. Our results showed that in clear cell RCC, multiple component of complexes involved in epigenetic regulation undergo gene mutations, confirming that deregulated epigenetic apparatus play important roles in pathogenesis of clear cell RCC. In this meeting, we will present the result of our integrated genetic analysis of RCC and discuss the genetic basis of RCC in terms of copy number alterations, gene mutations, as well as gene expression profiles. 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 2092. doi:1538-7445.AM2012-2092
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.AM2012-2092
    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2012
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    In:  Journal of Urology Vol. 187, No. 4S ( 2012-04)
    Details
    In: Journal of Urology, Ovid Technologies (Wolters Kluwer Health), Vol. 187, No. 4S ( 2012-04)
    Type of Medium: Online Resource
    ISSN: 0022-5347 , 1527-3792
    URL: Article
    DOI: 10.1016/j.juro.2012.02.502
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    In:  Nucleic Acids Research Vol. 41, No. 7 ( 2013-4), p. e89-e89
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    Type of Medium: Online Resource
    ISSN: 1362-4962 , 0305-1048
    URL: Article
    DOI: 10.1093/nar/gkt126
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    In:  Nature Genetics Vol. 45, No. 11 ( 2013-11), p. 1293-1299
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    URL: Article
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