scholarly journals Proteogenomic view of cancer epigenetics: the impact of DNA methylation on the cancer proteome

2018 ◽  
Author(s):  
Majed Mohamed Magzoub ◽  
Marcos Prunello ◽  
Kevin Brennan ◽  
Olivier Gevaert

AbstractAberrant DNA methylation disrupts normal gene expression in cancer and broadly contributes to oncogenesis. We previously developed MethylMix, a model-based algorithmic approach to identify epigenetically regulated driver genes. MethylMix identifies genes where methylation likely executes a functional role by using transcriptomic data to select only methylation events that can be linked to changes in gene expression. However, given that proteins more closely link genotype to phenotype recent high-throughput proteomic data provides an opportunity to more accurately identify functionally relevant abnormal methylation events. Here we present ProteoMix, which refines nominations for epigenetic driver genes by leveraging quantitative high-throughput proteomic data to select only genes where DNA methylation is predictive of protein abundance. Applying our algorithm across three cancer cohorts we find that ProteoMix narrows candidate nominations, where the effect of DNA methylation is often buffered at the protein level. Next, we find that ProteoMix genes are enriched for biological processes involved in cancer including functions involved in epithelial and mesenchymal transition. ProteoMix results are also enriched for tumor markers which are predictive of clinical features like tumor stage and we find clustering on ProteoMix genes captures cancer subtypes.

2017 ◽  
Author(s):  
Yun-Ching Chen ◽  
Valer Gotea ◽  
Gennady Margolin ◽  
Laura Elnitski

AbstractRecent evidence shows that mutations in several driver genes can cause aberrant methylation patterns, a hallmark of cancer. In light of these findings, we hypothesized that the landscapes of tumor genomes and epigenomes are tightly interconnected. We measured this relationship using principal component analyses and methylation-mutation associations applied at the nucleotide level and with respect to genome-wide trends. We found a few mutated driver genes were associated with genome-wide patterns of aberrant hypomethylation or CpG island hypermethylation in specific cancer types. We identified associations between 737 mutated driver genes and site-specific methylation changes. Moreover, using these mutation-methylation associations, we were able to distinguish between two uterine and two thyroid cancer subtypes. The driver gene mutation-associated methylation differences between the thyroid cancer subtypes were linked to differential gene expression in JAK-STAT signaling, NADPH oxidation, and other cancer-related pathways. These results establish that driver-gene mutations are associated with methylation alterations capable of shaping regulatory network functions. In addition, the methodology presented here can be used to subdivide tumors into more homogeneous subsets corresponding to their underlying molecular characteristics, which could improve treatment efficacy.Author summaryMutations that alter the function of driver genes by changing DNA nucleotides have been recognized as a key player in cancer progression. Recent evidence showed that DNA methylation, a molecular signature that is used for controlling gene expression and that consists of cytosine residues with attached methyl groups in the context of CG dinucleotides, is also highly dysregulated in cancer and contributes to carcinogenesis. However, whether those methylation alterations correspond to mutated driver genes in cancer remains unclear. In this study, we analyzed 4,302 tumors from 18 cancer types and demonstrated that driver gene mutations are inherently connected with the aberrant DNA methylation landscape in cancer. We showed that those driver gene-associated methylation patterns can classify heterogeneous tumors in a cancer type into homogeneous subtypes and have the potential to influence the genes that contribute to tumor growth. This finding could help us to better understand the fundamental connection between driver gene mutations and DNA methylation alterations in cancer and to further improve the cancer treatment.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Federico Tinarelli ◽  
Elena Ivanova ◽  
Ilaria Colombi ◽  
Erica Barini ◽  
Edoardo Balzani ◽  
...  

Abstract Background DNA methylation has emerged as an important epigenetic regulator of brain processes, including circadian rhythms. However, how DNA methylation intervenes between environmental signals, such as light entrainment, and the transcriptional and translational molecular mechanisms of the cellular clock is currently unknown. Here, we studied the after-hours mice, which have a point mutation in the Fbxl3 gene and a lengthened circadian period. Methods In this study, we used a combination of in vivo, ex vivo and in vitro approaches. We measured retinal responses in Afh animals and we have run reduced representation bisulphite sequencing (RRBS), pyrosequencing and gene expression analysis in a variety of brain tissues ex vivo. In vitro, we used primary neuronal cultures combined to micro electrode array (MEA) technology and gene expression. Results We observed functional impairments in mutant neuronal networks, and a reduction in the retinal responses to light-dependent stimuli. We detected abnormalities in the expression of photoreceptive melanopsin (OPN4). Furthermore, we identified alterations in the DNA methylation pathways throughout the retinohypothalamic tract terminals and links between the transcription factor Rev-Erbα and Fbxl3. Conclusions The results of this study, primarily represent a contribution towards an understanding of electrophysiological and molecular phenotypic responses to external stimuli in the Afh model. Moreover, as DNA methylation has recently emerged as a new regulator of neuronal networks with important consequences for circadian behaviour, we discuss the impact of the Afh mutation on the epigenetic landscape of circadian biology.


2020 ◽  
Author(s):  
Marion Flum ◽  
Severin Dicks ◽  
Monika Schrempp ◽  
Alexander Nyström ◽  
Melanie Boerries ◽  
...  

AbstractLocal invasion is the initial step towards metastasis, the main cause of cancer mortality. In human colorectal cancer (CRC), malignant cells predominantly invade as cohesive collectives, and may undergo partial epithelial-mesenchymal transition (pEMT) at the invasive front. How this particular mode of stromal infiltration is generated is unknown. Here we investigated the impact of oncogenic transformation and the microenvironment on tumor cell invasion using genetically engineered organoids as CRC models. We found that inactivation of the Apc tumor suppressor combined with expression of oncogenic KrasG12D and dominant negative Trp53R172H did not cell-autonomously induce invasion in vitro. However, oncogenic transformation primed organoids for activation of a collective invasion program upon exposure to the prototypical microenvironmental factor TGFβ1. Execution of this program co-depended on a permissive extracellular matrix which was further actively remodeled by invading organoids. Although organoids shed some epithelial properties particularly at the invasive edge, TGFβ1-stimulated organoids largely maintained epithelial gene expression while additionally implementing a mesenchymal transcription pattern, resulting in a pEMT phenotype that did not progress to a fully mesenchymal state. Induction of this stable pEMT required canonical, Smad4-mediated TGFβ signaling, whereas the EMT master regulators Snail1 and Zeb1 were dispensable. Gene expression profiling provided further evidence for pEMT of TGFβ1-treated organoids and showed that their transcriptomes resemble those of human poor prognosis CMS4 cancers which likewise exhibit pEMT features. We propose that collective invasion in colorectal carcinogenesis is triggered by microenvironmental stimuli through activation of a novel, transcription-mediated form of non-progressive pEMT independently of classical EMT regulators.


2016 ◽  
Vol 36 (suppl_1) ◽  
Author(s):  
Hanna M Björck ◽  
Lei Du ◽  
Valentina Paloschi ◽  
Shohreh Maleki ◽  
Silvia Pulignani ◽  
...  

Introduction: Individuals with bicuspid aortic valves (BAV) are at increased risk of ascending aortic aneurysm than individuals with tricuspid aortic valves (TAV), but the underlying mechanism is not fully understood. Aberrant DNA methylation has been described in various human diseases, and we have shown that key enzymes in the methylation machinery are differentially expressed in the aortic intima-media of BAV and TAV patients. In the present study, we assessed the hypothesis that DNA methylation may play an important role during aneurysm formation in BAV. We undertook a global methylation approach to delineate biological processes associated with BAV aortopathy, using TAV as a reference. Methods: Ascending aortic biopsies were collected from 21 BAV and 24 TAV patients, with either a non-dilated or a dilated aorta, at the time of surgery. Global DNA methylation was measured in the intima-media layer using Illumina 450k Array. Gene expression was analyzed in the same samples using Affymetrix Exon Array. Results: Compared with TAV, the BAV dilated aorta was hypomethylated (P=0.031), correlating with an up-regulation of global gene expression. A total of 4913 differentially methylated regions (DMRs) were identified and Hallmark analysis of the DMR-associated genes with a fold change of 10% (n=3147) showed a gene signature of Epithelial Mesenchymal Transition (EMT) (FDR q=2.91e-29). This was further confirmed by functional annotation analysis of hypomethylated DMRs using the Genomic Regions Enrichment of Annotations Tool (Stanford University), showing association to actin filament bundle (P=7.09e-12), stress fibers (P=1.72e-11) and adherence junctions (P=2.97e-8). Interestingly, analysis of non-dilated BAV and TAV aorta revealed that genes involved in EMT were the most differentially methylated genes prior to dilatation (FDR q=1.18e-6). We further confirmed the EMT-related molecular signature by immunostaining of some key players of EMT. In conclusion, epigenetic profiling clearly revealed differential methylation between BAV and TAV aorta, particularly in EMT-related genes. Aberrant EMT in the ascending aorta prior to dilatation may constitute the basis for the increased aneurysm susceptibility in BAV patients.


Cancers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3411
Author(s):  
Laura Pignata ◽  
Orazio Palumbo ◽  
Flavia Cerrato ◽  
Basilia Acurzio ◽  
Enrique de Álava ◽  
...  

The embryonal renal cancer Wilms tumor (WT) accounts for 7% of all children’s malignancies. Its most frequent molecular defect is represented by DNA methylation abnormalities at the imprinted 11p15.5 region. Multiple imprinted methylation alterations dictated by chromosome copy-number variations have been recently demonstrated in adult cancers, raising the question of whether multiple imprinted loci were also affected in WT. To address this issue, we analyzed DNA methylation and chromosome profiles of 7 imprinted loci in 48 WT samples. The results demonstrated that methylation abnormalities of multiple imprinted loci occurred in 35% of the cases, but that they were associated with either chromosome aberrations or normal chromosome profiles. Multiple imprinted methylation changes were correlated with tumor stage and presence of metastasis, indicating that these epimutations were more frequent in highly aggressive tumors. When chromosome profiles were affected, these alterations were extended to flanking cancer driver genes. Overall, this study demonstrates the presence of multiple imprinted methylation defects in aggressive WTs and suggests that the mechanism by which they arise in embryonal and adult cancers is different.


2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Xindong Zhang ◽  
Lin Gao ◽  
Zhi-Ping Liu ◽  
Songwei Jia ◽  
Luonan Chen

As smoking rates decrease, proportionally more cases with lung adenocarcinoma occur in never-smokers, while aberrant DNA methylation has been suggested to contribute to the tumorigenesis of lung adenocarcinoma. It is extremely difficult to distinguish which genes play key roles in tumorigenic processes via DNA methylation-mediated gene silencing from a large number of differentially methylated genes. By integrating gene expression and DNA methylation data, a pipeline combined with the differential network analysis is designed to uncover driver methylation genes and responsive modules, which demonstrate distinctive expressions and network topology in tumors with aberrant DNA methylation. Totally, 135 genes are recognized as candidate driver genes in early stage lung adenocarcinoma and top ranked 30 genes are recognized as driver methylation genes. Functional annotation and the differential network analysis indicate the roles of identified driver genes in tumorigenesis, while literature study reveals significant correlations of the top 30 genes with early stage lung adenocarcinoma in never-smokers. The analysis pipeline can also be employed in identification of driver epigenetic events for other cancers characterized by matched gene expression data and DNA methylation data.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 2406-2406
Author(s):  
Mira Jeong ◽  
Deqiang Sun ◽  
Min Luo ◽  
Yun Huang ◽  
Myunggon Ko ◽  
...  

Abstract Identification of recurrent leukemia-associated mutations in genes encoding regulators of DNA methylation such as DNMT3A and TET2 have underscored the critical importance of DNA methylation in maintenance of normal physiology. To gain insight into how DNA methylation exerts the central role, we sought to determine the genome-wide pattern of DNA methylation in the normal precursors of leukemia cells: the hematopoietic stem cell (HSC), and investigate the factors that affect alterations in DNA methylation and gene expression. We performed whole genome bisulfite sequencing (WGBS) on purified murine HSCs achieving a total of 1,121M reads, resulting in a combined average of 40X coverage. Using Hidden Markov Model we identified 32,325 under-methylated regions (UMRs) with average proportion of methylation ≤ 10% and by inspecting the UMR size distribution, we discovered exceptionally large “methylation Canyons” which span highly conserved domains frequently containing transcription factors and are quite distinct from CpG islands and shores. Methylation Canyons are a distinct genomic feature that is stable, albeit with subtle differences, across cell-types and species. Canyon-associated genes showed a striking pattern of enrichment for genes involved in transcriptional regulation (318 genes, P=6.2 x 10-123), as well as genes containing a homeobox domain (111 genes, P=3.9 x 10-85). We compared Canyons with TF binding sites as identified from more than 150 ChIP-seq data sets across a variety of blood lineages (>10)19 and found that TF binding peaks for 10 HSC pluripotency TFs are significantly enriched in entirety of Canyons compared with their surrounding regions. Low DNA methylation is usually associated with active gene expression. However, half of Canyon genes associated with H3K27me3 showed low or no expression regardless of their H3K4me3 association while H3K4me3-only Canyon genes were highly expressed. Because DNMT3A is mutated in a high frequency of human leukemias24, we examined the impact of loss of Dnmt3a on Canyon size. Upon knockout of Dnmt3a, the edges of the Canyons are hotspots of differential methylation while regions inside of Canyon are relatively resistant. The methylation loss in Dnmt3a KO HSCs led Canyon edge erosion, Canyon size expansion and addition of 861 new Canyons for a total of 1787 Canyons. Canyons marked with H3K4me3 only were most likely to expand after Dnmt3a KO and the canyons marked only with H3K27me3 or with both marks were more likely to contract. This suggests Dnmt3a specifically is acting to restrain Canyon size where active histone marks (and active transcription) are already present. WGBS cannot distinguish between 5mC and 5hmC, so we determined the genome-wide distribution of 5hmC in WT and Dnmt3a KO HSCs using the cytosine-5-methylenesulphonate (CMS)-Seq method in which sodium bisulfate treatment convert 5hmC to CMS; CMS-containing DNA fragments are then immunoprecipitated using a CMS specific antiserum. Strikingly, 5hmC peaks were enriched specifically at the borders of Canyons. In particular, expanding Canyons, typically associated with highest H3K4me3 marking, were highly enriched at the edges for the 5hmC signal suggesting a model in which Tet proteins and Dnmt3a act concomitantly on Canyon borders opposing each other in alternately effacing and restoring methylation at the edges, particularly at sites of active chromatin marks. Using Oncomine data, we tested whether Canyon-associated genes were likely to be associated with hematologic malignancy development and found Canyon genes were highly enriched in seven signatures of genes over-expressed in Leukemia patients compared to normal bone marrow; in contrast, four sets of control genes were not similarly enriched. Further using TCGA data, we found that expressed canyon genes are significantly enriched for differentially expressed genes between patients with and without DNMT3A mutation (p value<0.05) Overall, 76 expressed canyon genes, including multiple HOX genes, are significantly changed in patients with DNMT3A mutation (p=0.0031). Methylation Canyons, the novel epigenetic landscape we describe may provide a mechanism for the regulation of hematopoiesis and may contribute to leukemia development. Disclosures: No relevant conflicts of interest to declare.


2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1041-1041
Author(s):  
Joaquina Martínez-Galan ◽  
Sandra Rios ◽  
Juan Ramon Delgado ◽  
Blanca Torres-Torres ◽  
Jesus Lopez-Peñalver ◽  
...  

1041 Background: Identification of gene expression-based breast cancer subtypes is considered a critical means of prognostication. Genetic mutations along with epigenetic alterations contribute to gene-expression changes occurring in breast cancer. However, the reproducibility of differential DNA methylation discoveries for cancer and the relationship between DNA methylation and aberrant gene expression have not been systematically analysed. The present study was undertaken to dissect the breast cancer methylome and to deliver specific epigenotypes associated with particular breast cancer subtypes. Methods: By using Real Time QMSPCR SYBR green we analyzed DNA methylation in regulatory regions of 107 pts with breast cancer and analyzed association with prognostics factor in triple negative breast cancer and methylation promoter ESR1, APC, E-Cadherin, Rar B and 14-3-3 sigma. Results: We identified novel subtype-specific epigenotypes that clearly demonstrate the differences in the methylation profiles of basal-like and human epidermal growth factor 2 (HER2)-overexpressing tumors. Of the cases, 37pts (40%) were Luminal A (LA), 32pts (33%) Luminal B (LB), 14pts (15%) Triple-negative (TN), and 9pts (10%) HER2+. DNA hypermethylation was highly inversely correlated with the down-regulation of gene expression. Methylation of this panel of promoter was found more frequently in triple negative and HER2 phenotype. ESR1 was preferably associated with TN(80%) and HER2+(60%) subtype. With a median follow up of 6 years, we found worse overall survival (OS) with more frequent ESR1 methylation gene(p>0.05), Luminal A;ESR1 Methylation OS at 5 years 81% vs 93% when was ESR1 Unmethylation. Luminal B;ESR1 Methylation 86% SG at 5 years vs 92% in Unmethylation ESR1. Triple negative;ESR1 Methylation SG at 5 years 75% vs 80% in unmethylation ESR1. HER2;ESR1 Methylation SG at 5 years was 66.7% vs 75% in unmethylation ESR1. Conclusions: Our results provide evidence that well-defined DNA methylation profiles enable breast cancer subtype prediction and support the utilization of this biomarker for prognostication and therapeutic stratification of patients with breast cancer.


2021 ◽  
Author(s):  
Robert Mukiibi ◽  
Carolina Peñaloza ◽  
Alejandro Gutierrez ◽  
José M. Yáñez ◽  
Ross D. Houston ◽  
...  

Salmon rickettsial septicaemia (SRS), caused by the intracellular bacteria Piscirickettsia Salmonis, generates significant mortalities to farmed Atlantic salmon, particularly in Chile. Due to its economic importance, a wealth of research has focussed on the biological mechanisms underlying pathogenicity of P. salmonis, the host response, and genetic variation in host resistance. DNA methylation is a fundamental epigenetic mechanism that influences almost every biological process via the regulation of gene expression and plays a key role in the response of an organism to stimuli. In the current study, the role of head kidney and liver DNA methylation in the response to P. salmonis infection was investigated in a commercial Atlantic salmon population. A total of 66 salmon were profiled using reduced representation bisulphite sequencing (RRBS), with head kidney and liver methylomes compared between infected animals (3 and 9 days post infection) and uninfected controls. These included groups of salmon with divergent (high or low) breeding values for resistance to P. salmonis infection, to examine the influence of genetic resistance. Head kidney and liver showed organ-specific global methylation patterns, but with similar distribution of methylation across gene features. Integration of methylation with RNA-Seq data revealed that methylation levels predominantly showed a negative correlation with gene expression, although positive correlations were also observed. Methylation within the first exon showed the strongest negative correlation with gene expression. A total of 911 and 813 differentially methylated CpG sites were identified between infected and control samples in the head kidney at 3 and 9 days respectively, whereas only 30 and 44 sites were differentially methylated in the liver. Differential methylation in the head kidney was associated with immunological processes such as actin cytoskeleton regulation, phagocytosis, endocytosis and pathogen associated pattern receptor signaling. We also identified 113 and 48 differentially methylated sites between resistant and susceptible fish in the head kidney and liver respectively. Our results contribute to the growing understanding of the role of methylation in regulation of gene expression and response to infectious diseases, and in particular reveal key immunological functions regulated by methylation in Atlantic salmon in response to P. salmonis.


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