Integrated profiling reveals a global correlation between epigenetic and genetic alterations in mesothelioma
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ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Brock Christensen
PROVIDER: E-GEOD-21058 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Publications
Integrated profiling reveals a global correlation between epigenetic and genetic alterations in mesothelioma.
Christensen Brock C BC Houseman E Andres EA Poage Graham M GM Godleski John J JJ Bueno Raphael R Sugarbaker David J DJ Wiencke John K JK Nelson Heather H HH Marsit Carmen J CJ Kelsey Karl T KT
Cancer research 20100629 14
Development of mesothelioma is linked mainly to asbestos exposure, but the combined contributions of genetic and epigenetic alterations are unclear. We investigated the potential relationships between gene copy number (CN) alterations and DNA methylation profiles in a case series of pleural mesotheliomas (n = 23). There were no instances of significantly correlated CN alteration and methylation at probed loci, whereas averaging loci over their associated genes revealed only two genes with signif ...[more]
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Project description:Pathologic differentiation of tissue of origin in tumors found in the lung can be challenging, with differentiation of mesothelioma and lung adenocarcinoma emblematic of this problem. Indeed, proper classification is essential for determination of treatment regimen for these diseases, making accurate and early diagnosis critical. Here we investigate the potential of epigenetic profiles of lung adenocarcinoma, mesothelioma, and non-malignant pulmonary tissues (n=285) as differentiation markers in an analysis of DNA methylation at 1413 autosomal CpG loci associated with 773 cancer-related genes. Using an unsupervised recursively-partitioned mixture modeling technique for all samples, the derived methylation profile classes were significantly associated with sample type (P < 0.0001). In a similar analysis restricted to tumors, methylation profile classes significantly predicted tumor type (P < 0.0001). Random forests classification of CpG methylation of tumors - which splits the data into training and test sets - accurately differentiated MPM from lung adenocarcinoma over 99% of the time (P < 0.0001). In a locus-by-locus comparison of CpG methylation between tumor types, 1266 CpG loci had significantly different methylation between tumors following correction for multiple comparisons (Q < 0.05); 61% had higher methylation in adenocarcinoma. Using the CpG loci with significant differential methylation in a pathways analysis revealed significant enrichment of methylated gene-loci in Cell Cycle Regulation, DNA Damage Response, PTEN Signaling, and Apoptosis Signaling pathways in lung adenocarcinoma when compared to mesothelioma. Methylation-profile-based differentiation of lung adenocarcinoma and mesothelioma is highly accurate, informs on the distinct etiologies of these diseases, and holds promise for clinical application. Mesotheliomas (n=158) and grossly non-tumorigenic parietal pleura (n=18) were obtained following surgical resection at Brigham and Womenâ??s Hospital through the International Mesothelioma Program from a pilot study conducted in 2002 (n=70) and an incident case series beginning in 2005 (n=88) with a participation rate of 85%. We used biopsy specimens from patients treated for NSCLC at the Massachusetts General Hospital from 1992 â?? 1996 (18) including lung adenocarcinomas (n=57) and non-malignant pulmonary tissues (n=48) (of which 22 (39%) were taken from the adenocarcinoma patients) (18). Additional normal lung tissues were obtained from the National Disease Research Interchange from donors free of lung malignancy (n=4).
2010-06-25 | E-GEOD-16559 | biostudies-arrayexpress
Project description:Integrated profiling of somatic molecular alterations present in tumors is necessary to further our understanding of the tumorigenic process. We investigated the potential relationships between gene copy number alterations and DNA methylation profiles in a case series of pleural mesotheliomas (n=23). Gene copy number (CN) alterations profiled with 500K SNP arrays and DNA methylation measured at over 750 cancer-related genes with methylation bead-arrays were examined concomitantly. Considering each probed locus, there were no instances of significantly correlated CN alteration and methylation (no loci with Q < 0.05) and averaging loci over their associated genes revealed only two genes with significantly correlated CN and methylation alterations (Q < 0.04). In contrast to the lack of discrete correlations, the overall extent of tumor CN alteration was significantly associated with DNA methylation profile when comparing CN alteration extent among methylation profile classes (P < 0.02), and there was evidence that this association was partially attributable to prevalent allele loss observed at the maintenance DNA methyltransferase DNMT1. Taken together, this work indicates a strong association between global genetic and global epigenetic dysregulation in mesothelioma rather than a discrete, local coordination of gene inactivation, and further highlights the utility and necessity of integrative genomics approaches in cancer biology. Mesotheliomas were obtained following surgical resection at Brigham and Women’s Hospital through the International Mesothelioma Program from a pilot study conducted in 2002 and an incident case series beginning in 2005 as previously described (PMIDs: 19118007 and 19638575). All patients provided informed consent under the approval of the appropriate Institutional Review Boards. Clinical information, including histologic diagnosis was obtained from pathology reports. The study pathologist confirmed the histologic diagnoses and further assessed the percent tumor from resected specimens (mean >60%). DNA extraction and methylation analysis: DNA from fresh frozen tissue and matched whole blood was isolated with QIAamp DNA mini kit (Qiagen, Valencia, CA) following the manufacturer’s protocol. Tumor DNA was modified with sodium bisulfite using the EZ DNA Methylation Kit (Zymo Research, Orange, CA). Illumina GoldenGate® methylation bead arrays interrogated 1505 CpG loci associated with 803 cancer-related genes processed at the UCSF Institute for Human Genetics, Genomics Core Facility using methods described in (28). The GoldenGate methylation data used in the analysis has been previously described (PMIDs: 19118007 and 19638575).
2010-07-01 | E-GEOD-20989 | biostudies-arrayexpress
Project description:Epigenetic control of gene transcription is critical for normal human development and cellular differentiation. While alterations of epigenetic marks such as DNA methylation have been linked to cancers and many other human diseases, interindividual epigenetic variation in normal tissues due to aging, environmental factors, or innate susceptibility are poorly characterized. The plasticity, tissue-specific nature, and variability of gene expression are related to epigenomic states that vary across individuals. Thus, population-based investigations are needed to further our understanding of the fundamental dynamics of normal individual epigenomes. We analyzed 217 non-pathologic human tissues from 10 anatomic sites at 1413 autosomal CpG loci associated with 773 genes to investigate tissue-specific differences in DNA methylation, and to discern how aging and exposures contribute to normal variation in methylation. Methylation profile classes derived from unsupervised modeling were significantly associated with age (P < 0.0001), and were significant predictors of tissue origin (P < 0.0001). In solid tissues (n=119) we found striking, highly significant CpG island dependent correlations between age and methylation; loci in CpG islands gained methylation with age, loci not in CpG islands lost methylation with age (P < 0.001), and this pattern was consistent across tissues and in an analysis of blood-derived DNA. Our data clearly demonstrate age and exposure related differences in tissue-specific methylation, and significant age associated methylation patterns which are CpG island context dependent. This work provides novel insight into the role of aging and the environment in susceptibility to diseases such as cancer, and critically informs the field of epigenomics by providing evidence of epigenetic dysregulation by age-related methylation alterations. Collectively we reveal key issues to consider both in the construction of reference. The causes and extent of tissue-specific interindividual variation in human epigenomes are underappreciated and hence, poorly characterized. We surveyed over 200 carefully annotated human tissue samples from ten anatomic sites at 1413 CpGs for methylation alterations to appraise the nature of phenotypically, and hence potentially clinically important epigenomic alterations. Within tissue types, across individuals, we found variation in methylation that was significantly related to aging and environmental exposures such as tobacco smoking. Individual variation in age and exposure-related methylation may significantly contribute to increased susceptibility to several diseases. As the NIH-funded HapMap project is critically contributing to annotating the human reference genome defining normal genetic variability, our work raises key issues to consider in the construction of reference epigenomes. It is well recognized that understanding genetic variation is essential to understanding disease. Our work, and the known interplay of epigenetics and genetics, makes it equally clear that a more complete characterization of epigenetic variation and its sources must be accomplished to reach the goal of a complete understanding of disease. Additional research is absolutely necessary to define the mechanisms controlling epigenomic variation. We have begun to lay the foundations for essential normal tissue controls for comparison to diseased tissue, which will allow the identification of the most crucial disease-related alterations and provide more robust targets for novel treatments. Normal human tissues were assembled by a collaborative, multi-institutional network of investigators conducting molecular epidemiologic studies of human cancer. Tissues were obtained through Institutional Review Board approved studies already underway at these institutions, or were obtained from the National Disease Research Interchange (NDRI, Philadelphia, PA). Briefly, normal brain tissues (n=12) were contributed by the Wiencke lab at UCSF through the San Francisco Adult Glioma Study (Wiemels JL, Int J Ca 2002). Normal lung tissues (n=49) were obtained from adjacent non-tumor portions of lung in patients treated for NSCLC (Wiencke JK, Ca Res, 1995) or from the NDRI from non-diseased individuals at autopsy (n=4). Peripheral blood DNA was obtained from controls enrolled in a study of bladder cancer (n=15) (Karagas MR, Env Health Persp 1998), controls enrolled in a study of head and neck cancer (n=15) (Peters ES, CEBP 2005, 14:476-82), and newborn infants (n=55) (Urayama KY, CEBP, 2007, 16:1172). Non-tumorigenic pleural samples (n=18) were obtained from grossly disease-uninvolved regions of incident mesothelioma (Christensen BC, Carcinogenesis 2008). Head and neck anatomic sites (n=11), bladder (n=5), kidney (n=6), and small intestine (n=5) were obtained from the NDRI, all from individuals with no gross diseases or tumors of the obtained tissues. Non-pathologic placenta samples (n=19) were obtained as residual tissues from control infant term births as part of an ongoing hospital-based case-control study of intrauterine growth restriction at Women and Infants Hospital in Providence RI. All tissues obtained from patients with disease (lung, pleura) were histologically confirmed as normal by independent study pathologist review of tissue samples prior to DNA extraction.
2010-06-25 | E-GEOD-19434 | biostudies-arrayexpress
Project description:Using paired tumor and non-tumor lung tissues from 47 individuals we identified common changes in DNA methylation associated with the development of non-small cell lung cancer. Pathologically normal lung tissue taken at the time of cancer resection was matched to tumorous lung tissue and together were probed for methylation status using Illumina GoldenGate arrays. For each matched pair the change in methylation at each CpG was calculated (the odds ratio), and these ratios were averaged across individuals and ranked by magnitude to identify the CpGM-bM-^@M-^Ys with the greatest change in methylation associated with tumor development. Using paired tumor and non-tumor lung tissues from 47 individuals we identified common changes in DNA methylation associated with the development of non-small cell lung cancer. Pathologically normal lung tissue taken at the time of cancer resection was matched to tumorous lung tissue and together were probed for methylation status using Illumina GoldenGate arrays. For each matched pair the change in methylation at each CpG was calculated (the odds ratio), and these ratios were averaged across individuals and ranked by magnitude to identify the CpGM-bM-^@M-^Ys with the greatest change in methylation associated with tumor development.
2012-07-02 | E-GEOD-27902 | biostudies-arrayexpress
Project description:Solid tumors, including head and neck squamous cell carcinomas (HNSCC), arise as a result of genetic and epigenetic alterations in a sustained stress environment. Since it has been hypothesized that epigenetic alterations may act by providing the second carcinogenic hit in gene silencing, we sought to identify genome-wide DNA copy number alterations and CpG dinucleotide methylation events and examine the global/local relationships between these types of alterations in HNSCC. Importantly, we found that the global pattern of copy number alterations in these tumors was significantly associated with tumor methylation profiles. However at the local level, gene promoter regions did not exhibit a correlation between copy number and methylation , and the spectrum of genes affected by each type of alteration was unique. A case-series of 19 tumors and matched blood referents were hybrizided to Affymetrix Human Mapping 500k arrays and copy number was determined via HMM with Copy Number Analysis Tool v4.0.1. This study was designed to investigate the relationship between copy number and DNA methylation alterations in head and neck squamous cell carcinoma. Data in this submission relates to the methylation portion only. Each patient tumor has been de-identified and assigned a number (1-19). We included 11 normal head and neck samples, procured through the National Research Disease Interchange, that were used for reference when comparing tumor to normal. One ug of tissue DNA extracted using the Qiagen Blood and Tissue Kit was bisulfite-modified using a Zymo Research EZ DNA Methylation Kit. Samples were processed and arrayed on the Illumina GoldenGate Methylation Cancer Panel 1 at the University of California-San Francisco Institute for Genetics, Genomic Core Facility.
2010-06-23 | E-GEOD-20742 | biostudies-arrayexpress
Project description:Astrocytoma, oligodendroglioma, oligoastrocytoma, and ependymoma are the main histologic subtypes of glioma. The molecular character of these subtypes has profound implications for understanding their causes and treatment. We describe the epigenetic landscape of these tumor types using novel DNA methylation profiling tools. There is a robust association of methylation profile with tumor histology and IDH1 mutation status. Furthermore, tumors with IDH1 mutation independently predict a tumor hypermethylator phenotype, histology, TP53 mutation status, patient age, and survival. Integrating tumor epigenetic and genetic alterations, this work provides a critical step toward better defining the somatic nature of glioma which will have great potential to impact clinical approaches to disease. This work provides an important step forward in classification of malignant brain tumors using DNA methylation profiling, integrating knowledge regarding IDH1 mutation in gliomas. The epigenetic homogeneity of the IDH1 mutant subclass despite histologic diversity implies that IDH1 mutation is a “driver” or functional determinant of a distinct DNA methylation phenotype, suggesting a novel role for an altered metabolic profile in the brain. This association occurs across histologic subtypes and demonstrates a clear relationship between genetic alteration and epigenetic profile. Fresh frozen tumor tissues were obtained from the University of California San Francisco (UCSF) Brain Tumor Research Center tissue bank with appropriate institutional review board approval. Tumors were diagnosed between 1990 and 2003. Tumor samples were defined as secondary GBM if the patients had prior histological diagnosis of a low-grade glioma. Tumors had previously been reviewed by UCSF neuropathologists to assign histologic subtype and grade. Normal brain tissue samples were from cancer-free patients who underwent temporal lobe resection as treatment for epilepsy at UCSF.
2010-12-20 | E-GEOD-20395 | biostudies-arrayexpress
Project description:DNA methylation and hydroxymethylation have been implicated in normal development and differentiation, but our knowledge about the genome-wide distribution of 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) during cellular differentiation remains limited. Using in vitro model system of gradual differentiation of human embryonic stem (hES) cells into ventral midbrain-type neural precursor (NP) cells and terminally into dopamine (DA) neurons, we explored changes in 5mC or 5hmC patterns during lineage commitment. We used three techniques, 450K DNA methylation array, MBD-seq, and hMeDIP-seq, and found combination of these methods can provide comprehensive information on the genome-wide 5mC or 5hmC patterns. We observed dramatic changes of 5mC patterns during differentiation of hES cells into NP cells. Although genome-wide 5hmC distribution was more stable than 5mC, coding exons, CpG islands and shores showed dynamic 5hmC patterns during differentiation. In addition to the role of DNA methylation as a mechanism to initiating gene silencing, we also found DNA methylation as a locking system to maintain gene silencing. More than 1,000 genes including mesoderm development related genes acquired promoter methylation during neuronal differentiation even though they were already silenced in hES cells. Finally, we found that activated genes lost 5mC in transcription start site (TSS) but acquired 5hmC around TSS and gene body during differentiation. Our findings may provide clues for elucidating the molecular mechanisms underlying lineage specific differentiation of pluripotent stem cells during human embryonic development. Examination of hMeDIP-Seq and MBD-Seq in 3 cell types (human embryonic stem, neural precursor, and dopamine neuron cells)
2013-11-04 | E-GEOD-38214 | biostudies-arrayexpress
Project description:DNA methylation and hydroxymethylation have been implicated in normal development and differentiation, but our knowledge about the genome-wide distribution of 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) during cellular differentiation remains limited. Using in vitro model system of gradual differentiation of human embryonic stem (hES) cells into ventral midbrain-type neural precursor (NP) cells and terminally into dopamine (DA) neurons, we explored changes in 5mC or 5hmC patterns during lineage commitment. We used three techniques, 450K DNA methylation array, MBD-seq, and hMeDIP-seq, and found combination of these methods can provide comprehensive information on the genome-wide 5mC or 5hmC patterns. We observed dramatic changes of 5mC patterns during differentiation of hES cells into NP cells. Although genome-wide 5hmC distribution was more stable than 5mC, coding exons, CpG islands and shores showed dynamic 5hmC patterns during differentiation. In addition to the role of DNA methylation as a mechanism to initiating gene silencing, we also found DNA methylation as a locking system to maintain gene silencing. More than 1,000 genes including mesoderm development related genes acquired promoter methylation during neuronal differentiation even though they were already silenced in hES cells. Finally, we found that activated genes lost 5mC in transcription start site (TSS) but acquired 5hmC around TSS and gene body during differentiation. Our findings may provide clues for elucidating the molecular mechanisms underlying lineage specific differentiation of pluripotent stem cells during human embryonic development. Examination of genome-wide DNA methylation in 3 cell types (human embryonic stem, neural precursor, and dopamine neuron cells)
2013-11-04 | E-GEOD-38216 | biostudies-arrayexpress
Project description:Epigenetic regulation of tumor suppressor genes (TSGs) has been shown to play a central role in melanomagenesis. Integrating gene expression and methylation array analysis we identified novel candidate TSGs frequently methylated in melanoma. We validated the methylation status of the most promising TSGs using the highly sensitive, specific and comprehensive Sequenom Epityper assay in a large panel of melanoma cell lines and resected melanomas, and compared the findings with that from cultured melanocytes. We found transcript levels of UCHL1, COL1A2, THBS1 and TNFRSF10D were inversely correlated with promoter methylation. The effect of this methylation on expression was confirmed at the protein level. Identification of these candidate TSGs and how their silencing is related to melanoma development will increase our understanding of the etiology of this cancer and may provide tools for its early diagnosis. Analysed samples consisted of 11 melanoma cell lines and 1 neonatal foreskin melanocyte pool as a reference. Melanoma cell lines overlap with members of the DNA copy number analysis series GSE9003 and expression profiling series GSE7127 . The matching copy number data GEO samples IDs are noted in characteristics: Matching CN Sample ID and characteristics: Matching expn Sample ID columns respectively.
2011-10-24 | E-GEOD-28356 | biostudies-arrayexpress
Project description:The identification of surrogate methylation markers that can predict responses to preoperative chemoradiotherapy (CRT) in rectal cancer patients. Genome-wide association studies in clinical populations are theoretically capable of identifying markers that are capable of tumor regression after CRT. We used InfiniumM-BM-. Methylation Assay to detail methylation status of patientM-bM-^@M-^Ys group showing differential responsiveness to preoperative CRT and profiled SNP biomarkers. The chemoradiosensitivity of tumor tissue from the initial cohort of 45 patients was assessed using clinical responses of tumor regression grade (TRG). TRG was clinically categorized as complete response (CR) as TRG 1, dominant response (ER or finally as DR) as TRG 1 and 2, and efficient response (RYN or finally as ER) as TRG 1, 2, and 3 (TRG grade from Mandard et al, 1994). Examination of genome-wide DNA methylation in 45 colon cancer tissues. We separated patients into TRG1,2,3,4 and 5 group after chemoradiotherapy(CRT). As proposed by Mandard et al. TRG 1, complete tumor response; TRG2, residual cancer cells scattered through fibrosis; TRG 3, an increased number of residual cancer cells, with predominant fibrosis; TRG 4, residual cancer outgrowing fibrosis; and TRG 5, no regressive changes within the tumor: Responders (TRG 1 and 2) and nonresponders (TRG 3?5). Mandard et al. Cancer 1994 Group 1 and Group 2 in ER, CR and RYN was divided by TRG classification. CR: group 1 - TRG 2,3,4 and 5; group 2 - TRG 1 ER: group 1 - TRG 3,4,5; group 2 - TRG 1 and 2 RYN: group 1 - TRG 4 and 5; group 2 - TRG 1,2 and 3
2014-08-01 | E-GEOD-39958 | biostudies-arrayexpress