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Temozolomide: a milestone in the pharmacotherapy of brain tumors.

Temozolomide (TMZ) is an alkylating agent earlier approved for recurrent anaplastic astrocytoma and approved for the treatment of newly diagnosed glioblastoma in the USA and Europe in 2005. TMZ shows good blood-brain barrier penetration and exhibits a favorable side effect profile. Its key mode of action appears to be methylation at N(7) and O(6)-positions of guanine. The level of expression and activity of the DNA repair enzyme O(6)-methylguanine DNA methyltransferase is thought to be a major predictor of response to TMZ. The demonstration of prolonged survival when TMZ was added to radiotherapy in the European Organisation for Research and Treatment of Cancer 26981/22981/NCIC CE.3 trial has been a breakthrough in the treatment of newly diagnosed glioblastoma. The early preliminary evidence for activity in recurrent malignant gliomas further resulted in a broad evaluation of TMZ for other tumors in neuro-oncology, mainly low-grade gliomas, brain metastases and primary cerebral lymphomas.

Antineoplastic Agents, Alkylating↗

Mutational signature of the proximate bladder carcinogen N-hydroxy-4-acetylaminobiphenyl: inconsistency with the p53 mutational spectrum in bladder cancer.

We studied the mutagenicity of the proximate bladder carcinogen, N-hydroxy-4-acetylaminobiphenyl (N-OH-AABP) in embryonic fibroblasts of the Big Blue mouse. Treatment of these cells with increasing concentrations of N-OH-AABP for 24 h resulted in a dose-dependent increase in mutation frequency of the cII transgene up to 12.8-fold over the background. Single base substitutions comprised 86% of the N-OH-AABP-induced mutations and 74% of the spontaneous cII mutations (sequenced number of mutant plaques, 141 and 145, respectively). Of these, 63 and 36%, respectively, occurred at guanine residues along the cII gene. Whereas G to T transversions predominated in the induced cII mutations (47%), insertion was the most spontaneously derived cII mutation (19%). Mapping of N-OH-AABP-induced DNA adducts along the cII gene by terminal transferase-dependent PCR showed the formation of DNA adducts at specific nucleotide positions. Five preferential DNA adduction sites were established, of which four were major mutation sites for N-OH-AABP, especially for G to T transversions. This unique mutational signature of N-OH-AABP in the cII gene was, however, in sharp contrast with the mutational spectrum of the p53 gene in human bladder cancer. G to A transitions are the dominant type of p53 mutations (53%), being also prevalent in almost all of its five mutational hotspots (codons 175, 248, 273, 280, and 285). In addition, the majority of mutations in three of these hotspots (codons 175, 248, and 273) are at a methylated CpG site, whereas in the cII gene neither the preferential N-OH-AABP DNA adduction sites nor the induced mutational hotspots are biased toward methylated CpG dinucleotides. We conclude that N-OH-AABP leaves a characteristic mutational signature in the cII transgene, which is consistent with its preferential DNA adduction profile. However, the pattern of mutation induced by N-OH-AABP in the cII gene is largely at odds with the mutational spectrum of the p53 gene in human bladder cancer.

Aminobiphenyl Compounds↗

Epigenetic reprogramming throughout preimplantation development and consequences for assisted reproductive technologies.

Knowledge about preimplantation development is important both for basic reproductive biology and for practical applications, including livestock breeding and regenerative medicine. During preimplantation development, epigenetic modifications such as DNA methylation and histone modifications are involved in the regulation of imprinted and non-imprinted genes, in the initiation of X chromosome inactivation, and the adjustment of telomere length. The underlying events are particularly vulnerable to external factors. Characterization of expression profiles in in vivo-derived embryos of different developmental stages and understanding the mechanisms and dynamics underlying the reprogramming process are the first steps towards the analysis of the complex gene regulatory networks. They provide a baseline for the analysis of manipulated embryos of all mammalian species, including humans, to improve embryo technologies and related therapeutic applications.

Animals↗

Interaction between DNA-damage protein GADD34 and a new member of the Hsp40 family of heat shock proteins that is induced by a DNA-damaging reagent.

GADD34 is one of a subset of proteins induced after DNA damage or cell growth arrest. To examine the function of GADD34, we used the yeast two-hybrid system to clone the protein that interacts with murine GADD34. As bait we used the product of the partial GADD34 cDNA, including the regions rich in proline, glutamic acid, serine and threonine (PEST) and gamma(1)34.5 regions. A cDNA clone, named GAHSP40, which is a mouse DnaJ family protein with a high similarity to human HLJ1 was cloned. The interaction between GADD34 and GAHSP40 in cultured cells was confirmed by a co-immunoprecipitation experiment and in NIH 3T3 cells by two-hybrid analysis in vivo. For binding of the two proteins, the gamma(1)34.5-similar region of GADD34 was necessary; however, the PEST region was also involved and the C-terminus of GAHSP40, but not the J-domain, was important. GAHSP40 was detected in all mouse tissues examined, but a different transcript was found in the testis. Both GADD34 mRNA and GAHSP40 mRNA were significantly elevated by treatment with methyl methanesulphonate, although the time courses were different. In addition, both GAHSP40 and GADD34 mRNA were induced by heat shock.

3T3 Cells↗

Characterizing the physical genome.

The genome of an organism is a dynamic physical entity, comprising genomic DNA bound to many different proteins and organized into chromosomes. A thorough characterization of the physical genome is relevant to our understanding of processes such as the regulation of gene expression, DNA replication and repair, recombination, chromosome segregation, epigenetic inheritance and genomic instability. Methods based on microarrays are beginning to provide a detailed picture of this physical genome, and they complement the genome-wide studies of mRNA expression profiling that have previously been so successful.

Animals↗

32P-postlabeling analysis of IQ, MeIQx and PhIP adducts formed in vitro in DNA and polynucleotides and found in vivo in hepatic DNA from IQ-, MeIQx- and PhIP-treated monkeys.

The 32P-postlabeling method was used to examine the adducts in DNA, polynucleotides, and mononucleotides reacted in vitro with the N-hydroxy and N-acetoxy derivatives of 2-amino-3-methylimidazo[4,5-f]quinoline (IQ), 2-amino-3, 8-dimethylimidazo[4,5-f]quinoxaline (MeIQx) or 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP). Adduct profiles were compared to those found in vivo in liver of cynomolgus monkeys fed IQ, MeIQx or PhIP. The N-acetoxy derivatives of IQ, MeIQx and PhIP (generated in situ from the corresponding N-hydroxylamine in the presence of acetic anhydride) each formed three principal adducts in DNA. Adduct 1 of IQ, MeIQx and PhIP was chromatographically identical to the 32P-labeled bis(phosphate) derivative of N-(deoxyguanosin-8-yl)-IQ, N-(deoxyguanosin-8-yl)-MeIQx, and N-(deoxyguanosin-8-yl)-PhIP respectively, and this adduct comprised approximately 65% of total adduct levels found in DNA in vitro. The C8-guanine adduct and the two minor adducts were also found in poly(dG-dC). poly(dG-dC), suggesting that the two minor adducts of IQ, MeIQx and PhIP are also formed on the guanine base. The N-acetoxy derivatives of IQ, MeIQx, and to a much lesser extent PhIP, also formed adducts with adenine-containing polynucleotides including poly(dA), poly(dA).poly(dT) and poly(dA-dT).poly(dA-dT), but these adenine adducts were chromatographically different from those found in DNA. The three guanine adducts of N-acetoxy-IQ, -MeIQx and -PhIP found in vitro in DNA and in guanine-containing polynucleotides were also found in the liver of monkeys fed IQ, MeIQx or PhIP respectively, indicating that metabolic activation via N-hydroxylation and esterification occurred in vivo in monkeys. With each compound, the C8-guanine adduct was the predominant adduct found in vivo. The results indicate similarities among IQ, MeIQx and PhIP in the DNA adducts formed in vitro and in vivo and substantiate the use of the 32P-postlabeling method for comparative adduct studies.

Animals↗

The role of circulating tumor DNA (ctDNA) to detect minimal residual disease in locally advanced gastroesophageal carcinoma: the BUTTERFLY study.

BACKGROUND: Despite advances in perioperative and neoadjuvant strategies, patients with locally advanced gastroesophageal cancers remain at high risk of recurrence after curative intent treatment. No validated biomarkers are available to detect minimal residual disease (MRD) or to guide post-operative risk-adapted management. Circulating tumor DNA (ctDNA) has emerged as a noninvasive tool for disease monitoring; single-parameter or tumor-informed assays, however, may lack sensitivity in low-tumor burden settings. Multimodal, tumor-agnostic approaches may overcome these limitations. METHODS: The BUTTERFLY study is a prospective, multicenter observational study enrolling patients with stage II-III gastric, gastroesophageal junction, or esophageal cancer treated with perioperative chemotherapy or neoadjuvant chemoradiotherapy followed by surgery. It evaluates the diagnostic performance and prognostic value of an academic, tumor-agnostic, multimodal ctDNA assay for MRD detection and prognostic stratification. Serial plasma samples are collected from baseline through post-operative follow-up and at relapse. Cell-free DNA is analyzed using the Agnostic Liquid Biopsy Multimodal Advancement (ALMA) platform, integrating tumor fraction estimation, somatic copy number alterations, fragmentomic features, single-nucleotide variants, and whole-genome methylation profiling. Multimodal features are combined with clinical variables using machine learning-based models to enhance MRD detection and relapse risk stratification. The primary endpoint includes sensitivity and specificity of ALMA-defined ctDNA/MRD status at the 4-8 weeks after surgery landmark, whereas secondary endpoints assess diagnostic performance at other time points and associations between ctDNA status and dynamics with disease-free survival, overall survival, treatment response, and lead time to recurrence. FUTURE PERSPECTIVES: If validated, this tumor-agnostic, multimodal ctDNA approach may enable earlier molecular relapse detection and support personalized post-operative management strategies.

circulating tumor DNA (ctDNA)↗

The role of CpG motifs in immunostimulation and gene therapy.

The mammalian immune system has evolved mechanisms to recognize and respond to 'danger' signals arising from pathogens. Among those danger signals are the unmethylated CpG dinucleotide motifs found in bacteria. At least some of the recognition of these sequences is through cellular components of the innate immune system, such as macrophages. Cytokines released by these cells in response to CpG motifs in turn activate other immune cells, such as NK cells and T cells, and can drive the development of adaptive immune responses. These proinflammatory, Th1 responses can also be generated intentionally with small oligodeoxynucleotides containing stimulatory CpG motifs, and have beneficial properties as vaccine adjuvants and in cancer immunotherapy. These proinflammatory responses have also been seen in gene therapy applications, especially in systemic delivery systems in which plasmid DNA vectors have been introduced with a vehicle such as a cationic lipid. For many gene therapy applications, finding ways to counter the immunostimulatory properties of plasmid DNA vectors is an important approach designed to enhance the vector safety profile, thereby increasing its effective therapeutic index.

B-Lymphocytes↗

Methylation of the promoter region may be involved in tissue-specific expression of the mouse terminal deoxynucleotidyl transferase gene.

The terminal deoxynucleotidyl transferase gene (TdT) is expressed in mice only in early B and T lymphoid precursors a few days after birth. Transactivating factors have been shown to contribute to the lymphoid specific expression of TdT, but they do not account entirely for the restriction of its expression to early precursors. Since tissue-specific expression can be modulated by other mechanisms such as DNA methylation and DNA accessibility, we evaluated the methylation pattern of the TdT gene in various expressing and non-expressing tissues and cell lines. Lymphoid and non-lymphoid organs differed significantly in their methylation profiles. In the thymus nearly complete demethylation of a Hha I site in the promoter was associated with high levels of TdT transcription. There was similar, but weaker demethylation of the TdT promoter in bone marrow, possibly due to the presence of a few TdT expressing B cell precursors. The same methylation status was also associated with TdT expression in different B and T cell lines. Kinetic studies of TdT gene demethylation and TdT transcription during thymus development showed that changes in methylation status were also involved in the differential expression of TdT in fetal and adult life. Footprinting experiments revealed the existence of three regions specifically protected by nuclear extracts from TdT -expressing cells. Together, these results suggest that promoter demethylation is involved in the control of TdT expression and implicate new promoter regions in this regulation.

Age Factors↗

Quantitative whole-genome analysis of DNA-protein interactions by in vivo methylase protection in E. coli.

A global methylation-based technique was used to identify, display, and quantitate the in vivo occupancy of numerous protein-binding sites within the Escherichia coli genome. The protein occupancy profiles of these sites showed variation across different growth conditions and genetic backgrounds. Of the 25 sites identified in this study, 24 occurred within 5' noncoding regions. Protein occupancy at 13 of these sites was supported by independent biochemical and genetic evidence. Most of the remaining 12 sites fell upstream of genes with no previously known function. A multivariate statistical analysis was utilized to group such uncharacterized genes with well-characterized ones, providing insights into their function based on a common pattern of transcriptional regulation.

DNA Modification Methylases↗

Detection of cell-type-specific differentially methylated regions in epigenome-wide association studies.

MOTIVATION: DNA methylation at cytosine-phosphate-guanine (CpG) sites is one of the most important epigenetic markers. Therefore, epidemiologists are interested in investigating DNA methylation in large cohorts through epigenome-wide association studies (EWAS). However, the observed EWAS data are bulk data with signals aggregated from distinct cell types. Deconvolution of cell-type-specific signals from EWAS data is challenging because phenotypes can affect both cell-type proportions and cell-type-specific methylation levels. Recently, there has been active research on detecting cell-type-specific risk CpG sites for EWAS data. However, existing methods all assume that the methylation levels of different CpG sites are independent and perform association detection for each CpG site separately. Although these methods significantly improve the detection at the aggregated-level-identifying a CpG site as a risk CpG site as long as it is associated with the phenotype in any cell type, they have low power in detecting cell-type-specific associations for EWAS with typical sample sizes. RESULTS: Here, we develop a new method, Fine-scale inference for Differentially Methylated Regions (FineDMR), to borrow strengths of nearby CpG sites to improve the cell-type-specific association detection. Via a Bayesian hierarchical model built upon Gaussian process functional regression, FineDMR takes advantage of the spatial dependencies between CpG sites. FineDMR can provide cell-type-specific association detection as well as output subject-specific and cell-type-specific methylation profiles for each subject. Simulation studies and real data analysis show that FineDMR substantially improves the power in detecting cell-type-specific associations for EWAS data. AVAILABILITY AND IMPLEMENTATION: FineDMR is freely available at https://github.com/JiaRuofan/Detection-of-Cell-type-specific-DMRs-in-EWAS.

DNA Methylation↗

Chromatin immunoprecipitation in postmortem brain.

Methylation and other covalent modifications of nucleosome core histones are key regulators of chromatin structure and function, including epigenetic control of gene expression. For the human brain, however, very little is known about the regulation of histone modifications at specific genomic loci. Furthermore, chromatin immunoprecipitation protocols applicable to postmortem tissue are lacking, and the impact of potential confounds such as autolysis time or tissue pH is unknown. We treated cerebral cortex from human postmortem brain and mice by micrococcal nuclease digestion or, alternatively, by formaldehyde-crosslinking and sonication. We show that the bulk of nucleosomal DNA remains attached to histones during the first 30 h after death. Immunoprecipitation with antibodies against methylated histones was at least 10-fold more effective in unfixed, micrococcal nuclease-digested samples, in comparison to extracts prepared by fixation and sonication. Histone methylation differences across various genomic sites were maintained within a wide range of autolysis times and tissue pH. Therefore, immunoprecipitation of micrococcal nuclease-digested tissue extracts is a feasible approach to profile histone methylation at defined genomic loci in postmortem brain.

Aged↗

Epigenetic changes in virus-associated human cancers.

Epigenetics of human cancer becomes an area of emerging research direction due to a growing understanding of specific epigenetic pathways and rapid development of detection technologies. Aberrant promoter hypermethylation is a prevalent phenonmena in human cancers. Tumor suppressor genes are often hypermethylated due to the increased activity or deregulation of DNMTs. Increasing evidence also reveals that viral genes are one of the key players in regulating DNA methylation. In this review, we will focus on hypermethylation and tumor suppressor gene silencing and the signal pathways that are involved, particularly in cancers closely associated with the hepatitis B virus, simian virus 40 (SV40), and Epstein-Barr virus. In addition, we will discuss current technologies for genome-wide detection of epigenetically regulated targets, which allow for systematic DNA hypermethylation analysis. The study of epigenetic changes should provide a global view of gene profile in cancer, and epigenetic markers could be used for early detection, prognosis, and therapy of cancer.

DNA Methylation↗

Lack of CpG island methylator phenotype defines a clinical subtype of T-cell acute lymphoblastic leukemia associated with good prognosis.

PURPOSE: To examine cancer genes undergoing epigenetic inactivation in a set of T-cell acute lymphoblastic leukemias (T-ALLs) to obtain the CpG island methylator phenotype (CIMP) in the disease and its possible correlation with clinical features and outcome of the patients. PATIENTS AND METHODS: Methylation-specific polymerase chain reaction was used to analyze methylation of the ADAMTS-1, ADAMTS-5, APAF-1, ASPP-1, CDH1, CDH13, DAPK, DIABLO, DKK-3, LATS-1, LATS-2, NES-1, p14, p15, p16, p57, p73, PARK-2, PTEN, sFRP1/2/4/5, SHP-1, SYK, TMS-1, and WIF-1 genes in samples from 50 consecutive T-ALL patients (19 children and 31 adults). Results were compared with results obtained in 286 B-cell acute lymphoblastic leukemias (B-ALLs). RESULTS: A total of 88% of the T-ALL samples had at least one gene methylated. According to the number of methylated genes observed in each individual sample, 12 patients (24%) were included in the CIMP- group (zero to two methylated genes), and 38 patients (76%) were included in the CIMP+ group (> two methylated genes). Clinical features and remission rate did not differ significantly among both groups of patients. Estimated disease-free survival (DFS) rate at 12 years and overall survival (OS) rate at 13 years were 100% and 91% for the CIMP- group and 20% and 17% for the CIMP+ group, respectively (P = .0006 and P = .003, respectively). Multivariate analysis demonstrated that methylation profile was an independent prognostic factor in predicting DFS (P = .05) and OS (P = .02). A group of five genes (SYK-1, ASPP-1, sFRP-2, sFRP-5, and WIF-1) showed specificity for T-ALL compared with B-ALL. CONCLUSION: Our results suggest that the methylation profile may be a potential new biomarker of risk prediction in T-ALL.

Adolescent↗

Oligonucleotide-based microarray for DNA methylation analysis: principles and applications.

Gene silencing via promoter CpG island hypermethylation offers tumor cells growth advantages. This epigenetic event is pharmacologically reversible, and uncovering a unique set of methylation-silenced genes in tumor cells can bring a new avenue to cancer treatment. However, high-throughput tools capable of surveying the methylation status of multiple gene promoters are needed for this discovery process. Herein we describe an oligonucleotide-based microarray technique that is both versatile and sensitive in revealing hypermethylation in defined regions of the genome. DNA samples are bisulfite-treated and PCR-amplified to distinguish CpG dinucleotides that are methylated from those that are not. Fluorescently labeled PCR products are hybridized to arrayed oligonucleotides that can discriminate between methylated and unmethylated alleles in regions of interest. Using this technique, two clinical subtypes of non-Hodgkin's lymphomas, mantle cell lymphoma, and grades I/II follicular lymphoma, were further separated based on the differential methylation profiles of several gene promoters. Work is underway in our laboratory to extend the interrogation power of this microarray system in multiple candidate genes. This novel tool, therefore, holds promise to monitor the outcome of various epigenetic therapies on cancer patients.

CpG Islands↗

Base-substitution profiles of externally activated polycyclic aromatic hydrocarbons and aromatic amines determined in a lacZ reversion assay.

Using an improved set of lactose-auxotrophic Escherichia coli tester strains, the proportion of the six possible transitions and transversions after mutagen exposure was assessed. Mutagenic specificity was determined in plate-incorporation assays using lactose-containing minimal medium for the selection of revertants, either after application of directly acting mutagens or by including a metabolic activation system with rat liver S9-extract. The differential and dose-dependent response of the six tester strains was shown by treating the bacteria with described diagnostic mutagens and other directly DNA damaging substances, e.g., N-methyl-N-nitrosoguanidine (MNNG) and benzo[a]pyrene-diolepoxide (BPDE). Polycyclic aromatic hydrocarbons and aromatic amines were investigated in the presence of an external metabolic activation system. Benzo[a]pyrene (BaP) yielded similar mutation profiles as its ultimate mutagen BPDE, if 100-fold increased doses were applied. In contrast to the mutation profile of BaP, which was dominated by G:C-T:A transversions, mutagenesis with benzo[c]phenanthrene (BcPh) produced predominantly A:T-T:A transversions. The same base change was observed with 5-methylchrysene and found to be missing with 5,6-dimethylchrysene, while both compounds caused G:C-A:T transitions. The aromatic amines 4-aminobiphenyl (4-ABP), 2-aminoanthracene (2-AA) and 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhlP) yielded similar yet distinguishable mutation profiles. Base-substitution reversion profiles of the chemical mutagens were in agreement with those obtained in other systems and with molecular analysis of mutants induced by these agents.

Amines↗

Aberrant CpG island hypermethylation profile is associated with atypical and anaplastic meningiomas.

Hypermethylation of promoter CpG islands is a common epigenetic event in a variety of human cancers. The aim of this study was to investigate whether promoter hypermethylation of cancer-related genes is involved in the development and progression of meningiomas. The methylation status at the promoter region of 10 cancer-related genes was examined by methylation-specific polymerase chain reaction in a cohort of 48 meningiomas including 16 benign, 19 atypical, and 13 anaplastic variants. The relationship of promoter hypermethylation and transcriptional silencing was determined by treatment of cells with demethylating agent 5-aza-2'-deoxycytidine followed by reverse transcription-polymerase chain reaction. Our results showed that 50% (24/48) of meningiomas exhibited promoter hypermethylation in at least one of the genes but not in normal leptomeninges, indicating that aberrant hypermethylation is tumor-specific. Promoter hypermethylation was detected in glutathione S -transferases P1 at 27%, thrombospondin-1 at 15%, retinoblastoma 1 at 10%, cyclin-dependent kinase inhibitor 2A at 10%, O 6 -methylguanine-DNA methyltransferase at 6%, and death-associated protein kinase 1, von Hippel-Lindau, p14 ARF , and cyclin-dependent kinase inhibitor 2B, each at 4%. No promoter hypermethylation was detected in the tissue inhibitor of metalloproteinase 3 gene. Treatment of IOMM-Lee meningioma cell line with 5-aza-2'-deoxycytidine restored expression of O 6 -methylguanine-DNA methyltransferase and death-associated protein kinase 1, providing evidence that promoter hypermethylation contributes to transcriptional silencing. The frequencies of methylation of any single gene in benign, atypical, and malignant meningiomas were 6% (1/16), 74% (14/19), and 69% (9/13), respectively. Of 48 tumors, 13 (27%) showed that concurrent hypermethylation of two or more genes studied were of atypical or anaplastic type. Statistical analysis revealed that the incidence of promoter hypermethylation of any single gene, of multiple genes, or of glutathione S -transferase P1 was significantly associated with atypical and anaplastic meningiomas ( P < .0001, P = .004, and P = .004, respectively). In conclusion, this study demonstrates that aberrant hypermethylation profile is associated with atypical and anaplastic meningiomas, suggesting that epigenetic change may be involved in malignant progression of meningiomas.

Adult↗