Epigenetic risk assessment and biomarker development for breast cancer (EpiMark)
Epigenetic risk assessment and biomarker development for breast cancer (EpiMark)
Disciplines
Biology (70%); Medical-Theoretical Sciences, Pharmacy (30%)
Keywords
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DNA Methylation,
Epigenetic Biomarkers,
Breast Cancer,
Bioinformatics
Despite the availability of new chemotherapeutic agents and progress in screening, breast cancer is still the most common cancer affecting women in developed countries. Epigenetic changes are ubiquitous in primary breast cancer, but less is known about the dietary/lifestyle and endogenous determinants of these changes. This project`s underlying hypothesis is that environmental factors and endogenous cues trigger changes in the methylome, that these changes contribute to the onset of breast cancer, and that they can serve as biomarkers in primary and secondary prevention. The project`s three main objectives are: (1) to identify DNA methylome changes in breast cancer and surrogate tissue using a large sample of several thousand subjects from a prospective cohort, (2) to establish dietary/lifestyle and endogenous determinants of epigenetic changes, and (3) to assess the predictive value of methylation markers in clinical settings. This project is based on the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, a study conducted in 23 centres in 10 European countries, and will use powerful epigenomic technology for biomarker discovery and validation. This study will provide unique insights into the role of risk factors in driving the epigenetic changes that are associated with breast cancer, and will reveal potential targets for biomarker discovery and future preventative strategies. Within the EpiMark project, the contribution of the group led by Christoph Bock at the CeMM Research Center for Molecular Medicine (http://epigenomics.cemm.oeaw.ac.at) and the work of the Biomedical Sequencing Facility (http://biomedical- sequencing.at) focuses on large-scale DNA methylation mapping in fresh-frozen and formalin-fixed paraffin- embedded patient samples as well as on integrative bioinformatic analysis of the generated datasets.
This project was part of a European initiative aiming to identify a robust association between changes in DNA methylation and the development of breast cancer, and to evaluate such an association as a potential biomarker. Co-ordinated by the International Agency for Research on Cancer (IARC) of the World Health Organization (WHO), the project consortium focused on the development and application of methods to analyze DNA methylation in patient samples. The CeMM contribution to the TRANSCAN EpiMark project has given rise to four main results, three of which have already led to a scientific publication in a high-profile journal: 1. We have developed a high-throughput pipeline for DNA methylation profiling in large sample sets, based on an optimized RRBS protocol (https://doi.org/10.1016/j.celrep.2015.11.024). Us- ing this protocol, we have profiled the >1,000 samples for the TRANSCAN EpiMark project as well as a large number of additional samples in collaborations with researchers worldwide. 2. Complementing the RRBS protocols focus on high sample throughput, we have developed a dedicated protocol for low-input and single-cell DNA methylation profiling termed WGBS / scWGBS (https://doi.org/10.1016/j.celrep.2015.02.001), which opens up new opportunities for dissecting tumor heterogeneity and analyzing plasma-derived cell-free DNA samples. 3. To help analyze and interpret the DNA methylation differences observed between different sample sets, we have developed the LOLA software tool (an R/Bioconductor package) for region set enrichment analysis (https://doi.org/10.1093/bioinformatics/btv612). With >3,500 user downloads, this software is already widely used for analyzing genomic region datasets. 4. Most importantly, we have used our RRBS protocol for DNA methylation profiling of >1,000 samples from a prospective breast cancer risk cohort and reference samples provided by the consortium. The resulting dataset constitutes the basis for ongoing analyses by TRANSCAN EpiMark project partners, and a consortium-level publication is planned and in preparation.
- Wim Van Criekinge, Ghent University - Belgium
- Suzette Delaloge, Institut Gustave Roussy - France
- Zdenko Herceg, The International Agency for the Research on Cancer (IARC) - France
- Rudolf Kaaks, Deutsches Krebsforschungszentrum - Germany
- Christoph Plass, Ruprecht-Karls-Universität Heidelberg - Germany
- Vessela Kristensen, University of Oslo - Norway
Research Output
- 2111 Citations
- 8 Publications
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2018
Title The DNA methylation landscape of glioblastoma disease progression shows extensive heterogeneity in time and space DOI 10.1038/s41591-018-0156-x Type Journal Article Author Klughammer J Journal Nature Medicine Pages 1611-1624 Link Publication -
2015
Title Differential DNA Methylation Analysis without a Reference Genome DOI 10.1016/j.celrep.2015.11.024 Type Journal Article Author Klughammer J Journal Cell Reports Pages 2621-2633 Link Publication -
2015
Title LOLA: enrichment analysis for genomic region sets and regulatory elements in R and Bioconductor DOI 10.1093/bioinformatics/btv612 Type Journal Article Author Sheffield N Journal Bioinformatics Pages 587-589 Link Publication -
2016
Title Chromatin accessibility maps of chronic lymphocytic leukaemia identify subtype-specific epigenome signatures and transcription regulatory networks DOI 10.1038/ncomms11938 Type Journal Article Author Rendeiro A Journal Nature Communications Pages 11938 Link Publication -
2014
Title Synergy and competition between cancer genome sequencing and epigenome mapping projects DOI 10.1186/gm557 Type Journal Article Author Bock C Journal Genome Medicine Pages 41 Link Publication -
2014
Title Comprehensive analysis of DNA methylation data with RnBeads DOI 10.1038/nmeth.3115 Type Journal Article Author Assenov Y Journal Nature Methods Pages 1138-1140 Link Publication -
2016
Title Quantitative comparison of DNA methylation assays for biomarker development and clinical applications DOI 10.1038/nbt.3605 Type Journal Article Author Bock C Journal Nature Biotechnology Pages 726-737 Link Publication -
2015
Title Single-Cell DNA Methylome Sequencing and Bioinformatic Inference of Epigenomic Cell-State Dynamics DOI 10.1016/j.celrep.2015.02.001 Type Journal Article Author Farlik M Journal Cell Reports Pages 1386-1397 Link Publication