Abstract

BackgroundChromatin state provides a clear decipherable blueprint for maintenance of transcriptional patterns, exemplifying a mitotically stable form of cellular programming in dividing cells. In this regard, genomic studies of chromatin states within cancerous tissues have the potential to uncover novel aspects of tumor biology and unique mechanisms associated with disease phenotypes and outcomes. The degree to which chromatin state differences occur in accordance with breast cancer features has not been established.MethodsWe applied a series of unsupervised computational methods to identify chromatin and molecular differences associated with discrete physiologies across human breast cancer tumors.ResultsChromatin patterns alone are capable of stratifying tumors in association with cancer subtype and disease progression. Major differences occur at DNA motifs for the transcription factor FOXA1, in hormone receptor-positive tumors, and motifs for SOX9 in Basal-like tumors. We find that one potential driver of this effect, the histone chaperone ANP32E, is inversely correlated with tumor progression and relaxation of chromatin at FOXA1 binding sites. Tumors with high levels of ANP32E exhibit an immune response and proliferative gene expression signature, whereas tumors with low ANP32E levels appear programmed for differentiation.ConclusionsOur results indicate that ANP32E may function through chromatin state regulation to control breast cancer differentiation and tumor plasticity. This study sets a precedent for future computational studies of chromatin changes in carcinogenesis.

Highlights

  • Chromatin state provides a clear decipherable blueprint for maintenance of transcriptional patterns, exemplifying a mitotically stable form of cellular programming in dividing cells

  • Most chromatin differences occurred along Uniform Manifold Approximation and Projection (UMAP) dimension 2, where tumors within group 1 bore the greatest distinction from groups 2 and 3 (Fig. 1A - left)

  • We assessed how this chromatin-based grouping corresponded with established breast cancer subtypes, expecting that chromatin patterns would be somewhat associated with gene expression-based classification – based on the established relationships between chromatin accessibility and transcriptional regulation [1]

Read more

Summary

Introduction

Chromatin state provides a clear decipherable blueprint for maintenance of transcriptional patterns, exemplifying a mitotically stable form of cellular programming in dividing cells. In this regard, genomic studies of chromatin states within cancerous tissues have the potential to uncover novel aspects of tumor biology and unique mechanisms associated with disease phenotypes and outcomes. A recent study of 410 tumors from The Cancer Genome Atlas (TCGA) used chromatin accessibility measurements to identify more than 500,000 putative gene regulatory elements, including thousands of genomic locations where accessibility differences occurred in a disease-specific and tissue-specific manner [2]. Similar breast cancer focused studies are lacking and have the potential to identify parallel associations

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call