Charting differences between tumors and normal tissue is a mainstay of cancer research. However, clonal tumor expansion from complex normal tissue architectures potentially obscures cancer-specific ...events, including divergent epigenetic patterns. Using whole-genome bisulfite sequencing of normal B cell subsets, we observed broad epigenetic programming of selective transcription factor binding sites coincident with the degree of B cell maturation. By comparing normal B cells to malignant B cells from 268 patients with chronic lymphocytic leukemia (CLL), we showed that tumors derive largely from a continuum of maturation states reflected in normal developmental stages. Epigenetic maturation in CLL was associated with an indolent gene expression pattern and increasingly favorable clinical outcomes. We further uncovered that most previously reported tumor-specific methylation events are normally present in non-malignant B cells. Instead, we identified a potential pathogenic role for transcription factor dysregulation in CLL, where excess programming by EGR and NFAT with reduced EBF and AP-1 programming imbalances the normal B cell epigenetic program.
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IJS, NUK, SBMB, UL, UM, UPUK
Intrahepatic cholangiocarcinoma (iCCA) is the second most common primary liver cancer. It is defined by cholangiocytic differentiation and has poor prognosis. Recently, epigenetic processes have been ...shown to play an important role in cholangiocarcinogenesis. We performed an integrative analysis on 52 iCCAs using both genetic and epigenetic data with a specific focus on DNA methylation components. We found recurrent isocitrate dehydrogenase 1 (IDH1) and IDH2 (28%) gene mutations, recurrent arm‐length copy number alterations (CNAs), and focal alterations such as deletion of 3p21 or amplification of 12q15, which affect BRCA1 Associated Protein 1, polybromo 1, and mouse double minute 2 homolog. DNA methylome analysis revealed excessive hypermethylation of iCCA, affecting primarily the bivalent genomic regions marked with both active and repressive histone modifications. Integrative clustering of genetic and epigenetic data identified four iCCA subgroups with prognostic relevance further designated as IDH, high (H), medium (M), and low (L) alteration groups. The IDH group consisted of all samples with IDH1 or IDH2 mutations and showed, together with the H group, a highly disrupted genome, characterized by frequent deletions of chromosome arms 3p and 6q. Both groups showed excessive hypermethylation with distinct patterns. The M group showed intermediate characteristics regarding both genetic and epigenetic marks, whereas the L group exhibited few methylation changes and mutations and a lack of CNAs. Methylation‐based latent component analysis of cell‐type composition identified differences among these four groups. Prognosis of the H and M groups was significantly worse than that of the L group. Conclusion: Using an integrative genomic and epigenomic analysis approach, we identified four major iCCA subgroups with widespread genomic and epigenomic differences and prognostic implications. Furthermore, our data suggest differences in the cell‐of‐origin of the iCCA subtypes.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
Despite much evidence on epigenetic abnormalities in cancer, it is currently unclear to what extent epigenetic alterations can be associated with tumors’ clonal genetic origins. Here, we show that ...the prostate intratumor heterogeneity in DNA methylation and copy-number patterns can be explained by a unified evolutionary process. By assaying multiple topographically distinct tumor sites, premalignant lesions, and lymph node metastases within five cases of prostate cancer, we demonstrate that both DNA methylation and copy-number heterogeneity consistently reflect the life history of the tumors. Furthermore, we show cases of genetic or epigenetic convergent evolution and highlight the diversity in the evolutionary origins and aberration spectrum between tumor and metastatic subclones. Importantly, DNA methylation can complement genetic data by serving as a proxy for activity at regulatory domains, as we show through identification of high epigenetic heterogeneity at androgen-receptor-bound enhancers. Epigenome variation thereby expands on the current genome-centric view on tumor heterogeneity.
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•Epigenetic intratumor heterogeneity reflects prostate tumors’ clonal genetic origins•Tumor and metastatic subclones exhibit diverse evolutionary origins•Distinct tumor lineages show convergent evolution of methylation patterns•Degree of methylation variability at a locus depends on genetic and epigenetic context
Several recent studies have examined the clonal origins of tumor populations on the basis of genetic variability. Brocks et al. now show that subclonal lineages also differ in their DNA methylation patterns and that methylation heterogeneity is consistent with the tumors’ genetic history. Furthermore, high methylation variability at enhancers bound by androgen receptor, which are known to play a role in prostate tumorigenesis, suggests that DNA methylation data can serve as a proxy for the functional state of tumor subclones.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Although clonal selection by genetic driver aberrations in cancer is well documented, the ability of epigenetic alterations to promote tumor evolution is undefined. We used 450k arrays and ...next-generation sequencing to evaluate intratumor heterogeneity and evolution of DNA methylation and genetic aberrations in chronic lymphocytic leukemia (CLL). CLL cases exhibit vast interpatient differences in intratumor methylation heterogeneity, with genetically clonal cases maintaining low methylation heterogeneity and up to 10% of total CpGs in a monoallelically methylated state. Increasing methylation heterogeneity correlates with advanced genetic subclonal complexity. Selection of novel DNA methylation patterns is observed only in cases that undergo genetic evolution, and independent genetic evolution is uncommon and is restricted to low-risk alterations. These results reveal that although evolution of DNA methylation occurs in high-risk, clinically progressive cases, positive selection of novel methylation patterns entails coevolution of genetic alteration(s) in CLL.
BackgroundCombination checkpoint blockade with anti-PD-1 and anti-CTLA-4 antibodies has shown promising efficacy in melanoma. However, the underlying mechanism in humans remains unclear. A better ...understanding of the cellular and molecular mechanisms of αPD-1 and αCTLA-4 individually, and in combination, will guide the development of safer and more effective combination immunotherapy strategies.MethodsWe performed multimodal (scRNA + TCR + epitope) analysis across time in 32 stage IV melanoma patients treated with anti-PD-1, anti-CTLA-4, or anti-PD-1 + anti-CTLA-4 (combination) therapy. In order to understand the effect of checkpoint blockade on T cells at a single-clone resolution, we developed a novel algorithm Cyclone to track temporal clonal dynamics and their underlying cell states.ResultsAnti-CTLA-4 induced more durable immune responses than anti-PD-1, whereas combination therapy mobilized greater and more sustained immune responses. Using Cyclone, we identified 6 clonotypic trajectories with distinct temporal patterns. These analyses revealed that checkpoint blockade induced waves of immune responses composed of distinct clonotypes that peaked at different timepoints. Combination therapy generated clonal effector and exhausted CD8 T cells (TEX) responses that peaked at 6–9 weeks after treatment. Focused analyses of TEX in additional cohorts identified that anti-CTLA-4 induced robust expansion and proliferation of progenitor TEX, which synergized with anti-PD-1 to generate a large and durable reinvigoration of TEX. Immune profiling of a cohort of patients that first received anti-CTLA-4, followed by anti-PD-1 revealed that these enhanced progenitor responses were largely due to anti-CTLA-4 therapy. The induction of progenitor TEX by anti-CTLA-4 were independently validated using samples collected from the Checkmate 238 clinical trial of adjuvant nivolumab versus ipilimumab in resectable melanoma.ConclusionsFirst, durable immune responses represent waves of immune responses generated by different T cell clones. Second, progenitor TEX induced by CTLA-4 blockade may contribute to durable immune responses through self-renewal and replenishing of the TEX pool.Ethics ApprovalPatients were consented for blood collection under the University of Pennsylvania Abramson Cancer Center’s melanoma research program tissue collection protocol UPCC 08607, in accordance with the Institutional Review Board. For specimens from Checkmate 238, PBMC were obtained following informed consent under an IRB-approved protocol at NYU.
Mobile genomics: tools and techniques for tackling transposons O'Neill, Kathryn; Brocks, David; Hammell, Molly Gale
Philosophical transactions of the Royal Society of London. Series B. Biological sciences,
03/2020, Volume:
375, Issue:
1795
Journal Article
Peer reviewed
Open access
Next-generation sequencing approaches have fundamentally changed the types of questions that can be asked about gene function and regulation. With the goal of approaching truly genome-wide ...quantifications of all the interaction partners and downstream effects of particular genes, these quantitative assays have allowed for an unprecedented level of detail in exploring biological interactions. However, many challenges remain in our ability to accurately describe and quantify the interactions that take place in those hard to reach and extremely repetitive regions of our genome comprised mostly of transposable elements (TEs). Tools dedicated to TE-derived sequences have lagged behind, making the inclusion of these sequences in genome-wide analyses difficult. Recent improvements, both computational and experimental, allow for the better inclusion of TE sequences in genomic assays and a renewed appreciation for the importance of TE biology. This review will discuss the recent improvements that have been made in the computational analysis of TE-derived sequences as well as the areas where such analysis still proves difficult. This article is part of a discussion meeting issue 'Crossroads between transposons and gene regulation'.
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BFBNIB, NMLJ, NUK, PNG, SAZU, UL, UM, UPUK
Analogous to life on earth, tumor cells evolve through space and time and adapt to different micro-environmental conditions. As a result, tumors are composed of millions of genetically diversified ...cells at the time of diagnosis. Profiling these variants contributes to understanding tumors’ clonal origins and might help to better understand response to therapy. However, even genetically homogenous cell populations show remarkable diversity in their response to different environmental stimuli, suggesting that genetic heterogeneity does not explain the full spectrum of tumor plasticity. Understanding epigenetic diversity across cancer cells provides important additional information about the functional state of subclones and therefore allows better understanding of tumor evolution and resistance to current therapies.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
Scientific data has been transformed into music in order to raise awareness in the non-scientific community. While the general public is nowadays familiar with the genetic code, there is still a lack ...of knowledge regarding epigenetic regulation. By making use of the binary nature of the methylome, we here describe a method that transforms methylation patterns into music. The resulting musical pieces show decent complexity and allow the audible recognition between music and underlying methylation state. This approach might therefore facilitate the recognition of complex methylation patterns and increase awareness for epigenetic regulation in the general public.
A complex network of regulatory pathways links transcription to cell growth and proliferation. Here we show that cellular quiescence alters chromatin structure by promoting trimethylation of histone ...H4 at lysine 20 (H4K20me3). In contrast to pericentric or telomeric regions, recruitment of the H4K20 methyltransferase Suv4-20h2 to rRNA genes and IAP elements requires neither trimethylation of H3K9 nor interaction with HP1 proteins but depends on long noncoding RNAs (lncRNAs) that interact with Suv4-20h2. Growth factor deprivation and terminal differentiation lead to upregulation of these lncRNAs, increase in H4K20me3, and chromatin compaction. The results uncover a lncRNA-mediated mechanism that guides Suv4-20h2 to specific genomic loci to establish a more compact chromatin structure in growth-arrested cells.
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•PAPAS, a lncRNA in antisense orientation to rDNA, is upregulated in quiescent cells•PAPAS interacts with Suv4-20h2 and mediates H4K20me3 at rDNA•H4K20me3 induces global chromatin compaction upon quiescence•LncRNAs mediate H4K20me3 and chromatin compaction at IAP retrotransposons
The switch from cellular proliferation to quiescence is linked to transcriptional downregulation. Bierhoff et al. show that upon growth arrest rRNA genes and IAP retroelements are epigentically silenced by long noncoding RNAs (lncRNAs), which mediate histone H4 lysine 20 trimethylation (H4K20me3) by recruiting the methyltransferase Suv4-20h2.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
DNA methyltransferase inhibitors (DNMTi) approved for older AML patients are clinically tested in combination with histone deacetylase inhibitors (HDACi). The mechanism of action of these drugs is ...still under debate. In colon cancer cells, 5-aza-2'-deoxycytidine (DAC) can downregulate oncogenes and metabolic genes by reversing gene body DNA methylation, thus implicating gene body methylation as a novel drug target. We asked whether DAC-induced gene body demethylation in AML cells is also associated with gene repression, and whether the latter is enhanced by HDACi.Transcriptome analyses revealed that a combined treatment with DAC and the HDACi panobinostat or valproic acid affected significantly more transcripts than the sum of the genes regulated by either treatment alone, demonstrating a quantitative synergistic effect on genome-wide expression in U937 cells. This effect was particularly striking for downregulated genes. Integrative methylome and transcriptome analyses showed that a massive downregulation of genes, including oncogenes (e.g., MYC) and epigenetic modifiers (e.g., KDM2B, SUV39H1) often overexpressed in cancer, was associated predominantly with gene body DNA demethylation and changes in acH3K9/27. These findings have implications for the mechanism of action of combined epigenetic treatments, and for a better understanding of responses in trials where this approach is clinically tested.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ