Immunoguided laser assisted microdissection techniques for DNA methylation analysis of archival tissue specimens

Franziska C Eberle1, Jeffrey C Hanson, J Keith Killian

  • 1Hematopathology Section, National Cancer Institute, National Institutes of Health, 8717 Grovemont Circle, Bethesda, MD 20892, USA.

Insights

Immunohistochemistry (IHC) for laser-assisted microdissection (LAM) does not alter DNA methylation in formalin-fixed paraffin-embedded (FFPE) tissues. This validated protocol enables large-scale genomic and epigenetic analysis of archival specimens.

Area of Science:

  • Epigenetics
  • Molecular Biology
  • Cancer Research

Background:

  • Altered DNA methylation is a hallmark of cancer, offering potential diagnostic and therapeutic targets.
  • Accurate analysis requires separating tumor cells from non-tumor cells, often using laser-assisted microdissection (LAM).
  • Immunohistochemistry (IHC) is used for cell identification in immunoguided LAM (ILAM), but its impact on DNA methylation is unknown.

Purpose of the Study:

  • To optimize antigen retrieval and IHC protocols for FFPE specimens compatible with ILAM.
  • To evaluate the effect of IHC staining on the DNA methylome.

Main Methods:

  • Developed and optimized an IHC protocol for FFPE tissue sections.
  • Performed immunoguided LAM (ILAM) on stained sections.
  • Extracted DNA from microdissected cells.
  • Analyzed DNA methylation using a high-throughput array on paired H&E and IHC samples.

Main Results:

  • Achieved specific staining suitable for ILAM.
  • DNA extracted from microdissected cells showed identical quality and high correlation (r = 0.94–0.98) in CpG methylation between H&E and IHC samples.
  • No significant differential methylation was detected in 99.7% of analyzed CpG targets (1501/1505).

Conclusions:

  • The established IHC protocol is valid for ILAM.
  • IHC staining does not significantly impact DNA methylation profiles.
  • This method facilitates large-scale genomic and epigenetic analyses of archival FFPE tissues using ILAM.

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