PLoS Computational BiologyGenomicsPeer-reviewed journal article
Chromatin accessibility of primary human cancers ties regional mutational processes with tissues of origin
Abstract
BackgroundRegional distribution of somatic mutations in cancer genomes associates with DNA replication timing (RT) and chromatin accessibility (CA), however normal tissues and cell lines have contributed these insights while associations with the epigenomes of primary cancers remain uncharacterized. ResultsHere we model megabase-scale mutation burden in whole cancer genomes using [~]900 CA and RT profiles of primary cancers, normal tissues, and cell lines. CA profiles of primary cancers, rather than normal tissues, predict regional mutagenesis in most cancer types. Regional mutation burden associates with the CA profiles of matching cancer types, indicating tissue-specific determinants of mutagenesis. However, mutagenesis in squamous cell and lymphoid cancers instead associates with RT profiles. Mutational signatures also show tissue-specific associations with cancer epigenomes, especially for carcinogen-induced and unannotated signatures. Lastly, while each cancer type includes certain frequently-mutated genomic regions exceeding epigenome-informed predictions of mutation burden, these regions show a pan-cancer convergence to biological processes involved in development and cancer. Thus, modelling excess mutations using epigenomes highlights known cancer driver genes as well as frequently mutated non-coding regions. ConclusionsThe dominant association of regional mutation burden with cancer epigenomes suggests that many passenger mutations are determined by the epigenetic landscapes of transformed cells and may occur later in tumor evolution. CA-informed models help find cancer genes and pathways with positive selection and highlight regions where additional mutation burden is contributed by local mutational processes. This study underlines the complex interplay of mutational processes, genome function and evolution in cancer and tissues of origin.
- organism: human
- assay: whole-genome sequencing
- assay: ChIP-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 6
- FWCI
- 0.53
- Field percentile
- top 47%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Regional mutational signature activities in cancer genomes
C. Timmons, Q. Morris, C. F. Harrigan·bioRxiv·Jan 23, 2022
- Chromatin accessibility of primary cancers informs regional mutagenesis in metastases through multi-scale deep learning
Hanli Jiang, Alexander T. Bahcheli, … Jüri Reimand·bioRxiv·May 25, 2026
- Chromatin marks govern mutation landscape of cancer at early stage of progression
Kyungsik Ha, Hong-Gee Kim, Hwajin Lee·bioRxiv·Sep 12, 2016
- Functional and genetic determinants of mutation rate variability in regulatory elements of cancer genomes
Christian A. Lee, Diala Abd-Rabbo, Jüri Reimand·Genome biologyPeer-reviewed·May 3, 2021
- Cancer mutational processes vary in their association with replication timing and chromatin accessibility
Adar Yaacov, Oriya Vardi, … Shai Rosenberg·Cancer ResearchPeer-reviewed·Oct 26, 2021
- Topography of mutational signatures in human cancer
B. Otlu-Saritas, M. Diaz-Gay, … L. B. Alexandrov·bioRxiv·May 29, 2022