The mutational landscape of normal human endometrial epithelium
By
Luiza Moore,
Daniel Leongamornlert,
Tim H. H. Coorens,
Mathijs A Sanders,
Peter James Ellis,
Kevin Dawson,
Francesco Maura,
Jyoti Nangalia,
Patrick S Tarpey,
Simon F Brunner,
Henry Lee-Six,
Raheleh Rahbari,
Sarah Moody,
Yvette Hooks,
Krishnaa Mahbubani,
Mercedes Jimenez-Linan,
Jan J. Brosens,
Christine A. Iacobuzio-Donahue,
Inigo Martincorena,
Kourosh Saeb-Parsy,
Peter J. Campbell,
Michael R. Stratton
Posted 24 Dec 2018
bioRxiv DOI: 10.1101/505685
(published DOI: 10.1038/s41586-020-2214-z)
All normal somatic cells are thought to acquire mutations. However, characterisation of the patterns and consequences of somatic mutation in normal tissues is limited. Uterine endometrium is a dynamic tissue that undergoes cyclical shedding and reconstitution and is lined by a gland-forming epithelium. Whole genome sequencing of normal endometrial glands showed that most are clonal cell populations derived from a recent common ancestor with mutation burdens differing from other normal cell types and manyfold lower than endometrial cancers. Mutational signatures found ubiquitously account for most mutations. Many, in some women potentially all, endometrial glands are colonised by cell clones carrying driver mutations in cancer genes, often with multiple drivers. Total and driver mutation burdens increase with age but are also influenced by other factors including body mass index and parity. Clones with drivers often originate during early decades of life. The somatic mutational landscapes of normal cells differ between cell types and are revealing the procession of neoplastic change leading to cancer.
Download data
- Downloaded 3,228 times
- Download rankings, all-time:
- Site-wide: 3,721
- In cancer biology: 54
- Year to date:
- Site-wide: 12,788
- Since beginning of last month:
- Site-wide: 8,492
Altmetric data
Downloads over time
Distribution of downloads per paper, site-wide
PanLingua
News
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!