Characterizing epigenetic changes in cancer

Methods for cancer epigenetics studies provide insight into tumorigenic pathways and cancer progression

Cancer Epigenetics

Studies of epigenetic alterations in cancer, such as aberrant methylation and altered transcription factor binding, can provide insight into important tumorigenic pathways. As altered methylation often activates or silences genes, changes in the epigenome can affect gene expression and the rate of cancer progression.

Next-generation sequencing (NGS) and microarray technologies can detect altered methylation patterns and other epigenetic changes in cancer. Illumina works with cancer epigenetics experts to ensure its NGS and array solutions meet the field's rapidly evolving needs.

cancer epigenetics illustration

Aberrant methylation is a common epigenetic alteration in cancer. Methylation analysis with NGS enables researchers to identify and track cancer methylation patterns by sequencing the methylated genome.

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Tracking Tumor Evolution

Dr. Christopher Mason describes how tumor evolution can be tracked by sequencing the transcriptome, epigenome, and epitranscriptome.

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Methylation arrays enable epigenome-wide association studies that can analyze multiple cancer samples in parallel. Arrays quantitatively interrogate methylation sites across the genome, providing researchers with insight into the regulation of cancer-related genes and pathways.

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Study Reveals Decreased Average Methylation Levels Years Before Breast Cancer Diagnosis

A cancer epigenetics study of pre-diagnostic blood samples identifies epigenome-wide hypomethylation changes that may predict breast cancer risk.

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Altered transcription factor binding is a common epigenetic pattern in cancer. Chromatin immunoprecipitation sequencing (ChIP-Seq) experiments provide a complete snapshot of DNA regions associated with a protein of interest.

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ChIP-Seq and Microarray Reveal a Sox9- Controlled Cancer-Specific Gene Network

Study identifies the molecular mechanisms regulated by Sox9 that link tumor initiation and invasion.

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Infinium MethylationEPIC BeadChip Kit
  • Microarray featuring expert-selected content
  • Coverage of > 850,000 methylation sites per sample at single-nucleotide resolution
  • FFPE compatibility
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iScan Array Scanner
  • High sample throughput
  • Flexibility for multiple applications
  • High data quality
  • Automation compatibility
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TruSeq DNA Methylation Kit
  • Whole-genome bisulfite sequencing with 50–100 ng DNA input
  • Includes CpG, CHH, and CHG regions
  • Fully captures sample diversity
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Methylation and Metastasis

Researchers investigate the epigenetics behind cancer metastasis using DNA methylation microarrays and NGS.

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Methylation and Metastasis
Racial variation in breast tumor promoter methylation in the Carolina Breast Cancer Study

Researchers use an Illumina methylation array on tumor and PBLs to identify differences in breast tumor development between African American and non-African American women.

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Medulloblastoma subgroups remain stable across primary and metastatic compartments

A methylation fingerprint is used to stratify medulloblastoma subgroups for improved characterization.

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Prostate cancer epigenetic biomarkers: next-generation technologies

A review of recent epigenetic discoveries in prostate cancer, highlighting their potential as biomarkers for diagnosis, segmentation, and monitoring.

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Guide to Methylation Analysis Methods

This comprehensive guide to array- and sequencing-based methods can be a useful resource in cancer epigenetics studies.

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Genomic Technologies for Cancer Research

Learn how sequencing and arrays can help researchers achieve a deeper understanding of cancer epigenetics and tumor progression.

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Cancer Research Review

An overview of recent cancer research publications featuring Illumina technology.

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Cancer and Immune System Research Review

An overview of recent research publications exploring the interaction between tumor cells and the immune system.

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NGS to Survey Chromatin Landscape
NGS to Survey Chromatin Landscape

New epigenetics method maps open chromatin regions to give a multidimensional portrait of gene regulation in complex disease.

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