Delineating SWI/SNF gene and subtype expression in cancer

Vilma Canfjorden1, Malin Lindén1,2, Tobias Österlund1,2,3

  • 1Department of Laboratory Medicine, Sahlgrenska Center for Cancer Research, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 413 90, Gothenburg, Sweden.

Epigenetics & Chromatin
|August 21, 2026
PubMed
Abstract

Insights

SWI/SNF gene mutations impact cancer epigenetics. This study reveals distinct SWI/SNF gene expression signatures across 33 tumor types, offering insights for targeted cancer therapies.

Area of Science:

  • Cancer Genomics
  • Epigenetics
  • Chromatin Remodeling

Background:

  • Mutations in SWI/SNF chromatin remodeling complex genes occur in ~20% of cancers.
  • These mutations can disrupt epigenetic regulation and lead to abnormal gene expression.
  • Understanding SWI/SNF gene expression across cancer types and its relation to mutations is crucial.

Purpose of the Study:

  • To comprehensively profile SWI/SNF gene and subtype expression across diverse cancer types.
  • To investigate the influence of tissue of origin and SWI/SNF mutations on gene expression.
  • To identify distinct SWI/SNF expression signatures and their potential clinical implications.

Main Methods:

  • Analyzed DNA and mRNA expression data for all 29 SWI/SNF genes from ~11,000 samples across 33 tumor types via The Cancer Genome Atlas.
  • Compared SWI/SNF gene expression levels and subtype variations (cBAF, PBAF, GBAF) across tumor types.
  • Correlated SWI/SNF gene mutations with downstream gene expression changes.

Main Results:

  • Identified significant variations in ACTL6B, DPF1, DPF3, and SMARCD3 expression among tumor types.
  • Discovered distinct SWI/SNF gene expression signatures in 10 out of 33 tumor types, partly influenced by tissue of origin.
  • Found that SWI/SNF mutations minimally affect gene expression but are linked to altered epigenetic regulation programs in specific cancers.

Conclusions:

  • Provides a detailed landscape of SWI/SNF gene and subtype expression across human cancers.
  • Highlights the potential of SWI/SNF expression patterns as biomarkers.
  • Suggests SWI/SNF pathway alterations as targets for novel cancer therapies.

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