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Genome wide methylation array analysis in T-ALL

ABSTRACT: In short: Genome wide promoter DNA methylation profiling of 43 T-ALL samples and 5 T-cell controls (normal bone marrow and stimulated T-cells) . The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs. Manuscript abstract: Background: Treatment of pediatric T-cell acute lymphoblastic leukemia (T-ALL) has improved, but there is a considerable fraction of patients experiencing a poor outcome. There is a need for better prognostic markers and aberrant DNA methylation is a candidate in other malignancies, but its potential prognostic significance in T-ALL is hitherto undecided. Design and Methods: Genome wide promoter DNA methylation analysis was performed in pediatric T-ALL samples (n=43) using arrays covering >27000 CpG sites. Clinical outcome was evaluated in relation to methylation status and compared with a contemporary T-ALL group not tested for methylation (n= 32). Results: Based on CpG island methylator phenotype (CIMP), T-ALL samples were subgrouped as CIMP+ (high methylation) and CIMP- (low methylation). CIMP- T-ALL patients had significantly worse overall and event free survival (p=0.02 and p=0.001, respectively) compared to CIMP+ cases. CIMP status was an independent factor for survival in multivariate analysis including age, gender and white blood cell count. Analysis of differently methylated genes in the CIMP subgroups showed an overrepresentation of transcription factors, ligands and polycomb target genes. Conclusions: We identified global promoter methylation profiling as being of relevance for subgrouping and prognostication of pediatric T-ALL.

ORGANISM(S): Homo sapiens

PROVIDER: GSE42079 | GEO | 2013/07/01

SECONDARY ACCESSION(S): PRJNA179088

REPOSITORIES: GEO

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Genome wide methylation array analysis in T-ALL

Project description:In short: Genome wide promoter DNA methylation profiling of 43 T-ALL samples and 5 T-cell controls (normal bone marrow and stimulated T-cells) . The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs. Manuscript abstract: Background: Treatment of pediatric T-cell acute lymphoblastic leukemia (T-ALL) has improved, but there is a considerable fraction of patients experiencing a poor outcome. There is a need for better prognostic markers and aberrant DNA methylation is a candidate in other malignancies, but its potential prognostic significance in T-ALL is hitherto undecided. Design and Methods: Genome wide promoter DNA methylation analysis was performed in pediatric T-ALL samples (n=43) using arrays covering >27000 CpG sites. Clinical outcome was evaluated in relation to methylation status and compared with a contemporary T-ALL group not tested for methylation (n= 32). Results: Based on CpG island methylator phenotype (CIMP), T-ALL samples were subgrouped as CIMP+ (high methylation) and CIMP- (low methylation). CIMP- T-ALL patients had significantly worse overall and event free survival (p=0.02 and p=0.001, respectively) compared to CIMP+ cases. CIMP status was an independent factor for survival in multivariate analysis including age, gender and white blood cell count. Analysis of differently methylated genes in the CIMP subgroups showed an overrepresentation of transcription factors, ligands and polycomb target genes. Conclusions: We identified global promoter methylation profiling as being of relevance for subgrouping and prognostication of pediatric T-ALL. Bisulphite converted DNA from the 48 samples were hybridised to the Illumina Infinium 27k Human Methylation Beadchip v1.2

2013-07-01 | E-GEOD-42079 | biostudies-arrayexpress

Genome wide gene expression array analysis in T-ALL

Project description:In short: The objective with the gene expression array (Illumina HT-12 v.4) analysis of 17 T-ALL samples was to correlate gene expression levels with DNA promoter methylation status. Manuscript Abstract: Background: Treatment of pediatric T-cell acute lymphoblastic leukemia (T-ALL) has improved, but there is a considerable fraction of patients experiencing a poor outcome. There is a need for better prognostic markers and aberrant DNA methylation is a candidate in other malignancies, but its potential prognostic significance in T-ALL is hitherto undecided. Design and Methods: Genome wide promoter DNA methylation analysis was performed in pediatric T-ALL samples (n=43) using arrays covering >27000 CpG sites. Clinical outcome was evaluated in relation to methylation status and compared with a contemporary T-ALL group not tested for methylation (n= 32). Results: Based on CpG island methylator phenotype (CIMP), T-ALL samples were subgrouped as CIMP+ (high methylation) and CIMP- (low methylation). CIMP- T-ALL patients had significantly worse overall and event free survival (p=0.02 and p=0.001, respectively) compared to CIMP+ cases. CIMP status was an independent factor for survival in multivariate analysis including age, gender and white blood cell count. Analysis of differently methylated genes in the CIMP subgroups showed an overrepresentation of transcription factors, ligands and polycomb target genes. Conclusions: We identified global promoter methylation profiling as being of relevance for subgrouping and prognostication of pediatric T-ALL. RNA was extracted with TRIZOL according to manufacturer instructions. Total RNA was amplified bu the Illumina TotalPrep RNA Amplification kit. Gene expression array analysis was performed on the 17/43 pediatric T-ALL samples from which RNA was availible. 2 control samples of stimulted T-cells were included and one replicate.

2013-07-01 | E-GEOD-41621 | biostudies-arrayexpress

Genome wide gene expression array analysis in T-ALL

2013-07-01 | GSE41621 | GEO

DNA methylation adds prognostic value to minimal residual disease status in pediatric T-cell acute lymphoblastic leukemia

Project description:Background: Despite increased knowledge about genetic aberrations in pediatric T-cell acute lymphoblastic leukemia (T-ALL), no clinically feasible treatment-stratifying marker exists at diagnosis. Instead patients are enrolled in intensive induction therapies with substantial side effects. In modern protocols, therapy response is monitored by minimal residual disease (MRD) analysis, and used for post-induction risk group stratification. DNA methylation profiling is a candidate for subtype discrimination at diagnosis and we investigated its role as a prognostic marker in pediatric T-ALL. Procedure: Sixty-five diagnostic T-ALL samples from Nordic pediatric patients treated according to the NOPHO-ALL2008 protocol were analyzed by HumMeth450K genome wide DNA methylation arrays. Methylation status was analyzed in relation to clinical data and early T-cell precursor (ETP) phenotype. Results: Two distinct CpG Island Methylator Phenotype (CIMP) groups were identified. Patients with a CIMP negative profile had an inferior response to treatment compared to CIMP positive patients (3-year cumulative incidence of relapse (CIR3y) rate: 29% vs. 6%, p=0.01). Most importantly, CIMP classification at diagnosis allowed subgrouping of high risk T-ALL patients (MRD â?¥0.1% at day 29) into two groups with significant differences in outcome (CIR3y rates: CIMP negative 50% vs CIMP positive 12%; p=0.02). These groups did not differ regarding ETP-phenotype, but the CIMP negative group was younger (p=0.02) and had higher white blood cell count at diagnosis (p=0.004) compared with the CIMP positive group. Conclusions: CIMP classification at diagnosis in combination with MRD during induction therapy is a strong candidate for further risk classification and could confer important information in treatment decision-making. Bisulphite converted DNA from T-ALL samples were hybridised to the Illumina Infinium 450k Human Methylation Beadchip

2016-03-30 | E-GEOD-69954 | biostudies-arrayexpress

DNA methylation adds prognostic value to minimal residual disease status in pediatric T-cell acute lymphoblastic leukemia

Project description:Background: Despite increased knowledge about genetic aberrations in pediatric T-cell acute lymphoblastic leukemia (T-ALL), no clinically feasible treatment-stratifying marker exists at diagnosis. Instead patients are enrolled in intensive induction therapies with substantial side effects. In modern protocols, therapy response is monitored by minimal residual disease (MRD) analysis, and used for post-induction risk group stratification. DNA methylation profiling is a candidate for subtype discrimination at diagnosis and we investigated its role as a prognostic marker in pediatric T-ALL. Procedure: Sixty-five diagnostic T-ALL samples from Nordic pediatric patients treated according to the NOPHO-ALL2008 protocol were analyzed by HumMeth450K genome wide DNA methylation arrays. Methylation status was analyzed in relation to clinical data and early T-cell precursor (ETP) phenotype. Results: Two distinct CpG Island Methylator Phenotype (CIMP) groups were identified. Patients with a CIMP negative profile had an inferior response to treatment compared to CIMP positive patients (3-year cumulative incidence of relapse (CIR3y) rate: 29% vs. 6%, p=0.01). Most importantly, CIMP classification at diagnosis allowed subgrouping of high risk T-ALL patients (MRD ≥0.1% at day 29) into two groups with significant differences in outcome (CIR3y rates: CIMP negative 50% vs CIMP positive 12%; p=0.02). These groups did not differ regarding ETP-phenotype, but the CIMP negative group was younger (p=0.02) and had higher white blood cell count at diagnosis (p=0.004) compared with the CIMP positive group. Conclusions: CIMP classification at diagnosis in combination with MRD during induction therapy is a strong candidate for further risk classification and could confer important information in treatment decision-making.

2016-03-30 | GSE69954 | GEO

DNA methylation instability by BRAF-mediated TET silencing and lifestyle-exposure divides colon cancer pathways [BrafV637E knock-in ]

Project description:Promoter hypermethylation divides colon cancers into subtypes with and without a CpG island methylator phenotype (CIMP). Here, we performed genome-wide DNA methylation profiling of colonic normal and tumor tissues to dissect development of CpG hypermethylation in colon carcinogenesis. This identified age-environment related versus genetically driven CpG hypermethylation, the latter being associated with CIMP cancers. We found a strong association between BRAFV600E mutation and downregulation of the DNA demethylases TET1 and TET2. Expression of BRAFV600E in CIMP cancer cells suppressed TET1 transcription, which was sufficient to establish hypermethylation at CIMP genes promoters, including that of TET2. This phenotype was reverted by the BRAFV600E inhibitor vemurafenib. Thus, BRAFV600E, via impairment of cytosine de-methylation, is a genetic driver of CIMP in colon tumorigenesis.

2019-12-18 | GSE108606 | GEO

DNA methylation instability by BRAF-mediated TET silencing and lifestyle-exposure divides colon cancer pathways [Colo320 cell line]

2019-12-18 | GSE124915 | GEO

DNA methylation instability by BRAF-mediated TET silencing and lifestyle-exposure divides colon cancer pathways [Caco2 cell line]

2019-12-18 | GSE98533 | GEO

DNA methylation instability by BRAF-mediated TET silencing and lifestyle-exposure divides colon cancer pathways [3 cell lines]

2019-12-18 | GSE98532 | GEO

LOC283731 promoter hypermethylation prognosticates survival after radiochemotherapy in IDH1 wild-type glioblastoma patients

Project description:MGMT promoter methylation status is currently the only established molecular prognosticator in IDH wild-type glioblastoma multiforme (GBM). Therefore, we aimed to discover novel therapy-associated epigenetic biomarkers. After enrichment for hypermethylated fractions using methyl-CpG-immunoprecipitation (MCIp), we performed global DNA methylation profiling for 14 long-term (LTS; >36 months) and 15 short-term (STS; 6â??10 months) surviving GBM patients. Even after exclusion of the G-CIMP phenotype, we observed marked differences between the LTS and STS methylome. A total of 1,247 probes in 706 genes were hypermethylated in LTS and 463 probes in 305 genes were found to be hypermethylated in STS patients (p values < 0.05, log2 fold change Â± 0.5). We identified 13 differentially methylated regions (DMRs) with a minimum of four differentially methylated probes per gene. Indeed, we were able to validate a subset of these DMRs through a second, independent method (MassARRAY) in our LTS/STS training set (ADCY1, GPC3, LOC283731/ISLR2). These DMRs were further assessed for their prognostic capability in an independent validation cohort (n = 62) of non-G-CIMP GBMs from the TCGA. Hypermethylation of multiple CpGs mapping to the promoter region of LOC283731 correlated with improved patient outcome (p < 0.03). The prognostic performance of LOC283731 promoter hypermethylation was confirmed in a third independent study cohort (n = 89), and was independent of gender, performance (KPS) and MGMT status (p < 0.0485, HR = 0.63). Intriguingly, the prediction was most pronounced in younger GBM patients (<60 years). In conclusion, we provide compelling evidence that promoter methylation status of this novel gene is a prognostic biomarker in IDH1 wild-type/non-G-CIMP GBMs. Global DNA methylation profiling in 14 long-term and 15 short-term surviving glioblastoma patients. DNA of 7 normal brain samples were pooled to create a control DNA for two-color analysis.

2016-03-10 | E-GEOD-74561 | biostudies-arrayexpress

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