Vlachou, Denise, Bjarnason, Georg A., Giacchetti, Sylvie, Lévi, Francis A. and Rand, D. A. (David A.) (2019) TimeTeller : a new tool for precision circadian medicine and cancer prognosis. Working Paper. Cold Spring Harbor: bioRXiv. (Unpublished)

An open access version can be found in:

• bioRxiv

Request Changes to record.

Abstract

Recent studies have established that the circadian clock influences onset, progression and therapeutic outcomes in a number of diseases including heart disease and cancer. There are, however, no tools to monitor the functional state of the circadian clock and its downstream targets in humans. We provide such a tool and demonstrate its clinical relevance by an application to breast cancer where we find a strong link between overall survival and our measure of clock dysfunction. We use a machine-learning approach and construct an algorithm called TimeTeller which uses the multi-dimensional state of the genes in a transcriptomics analysis of a single biological sample to assess the level of circadian clock dysfunction. We demonstrate how this can distinguish differences between healthy and diseased tissue and demonstrate that the clock dysfunction metric is a potentially new prognostic and predictive breast cancer biomarker that is independent of the main established prognostic factors.

Item Type:	Working or Discussion Paper (Working Paper)
Divisions:	Faculty of Medicine > Warwick Medical School > Biomedical Sciences Faculty of Medicine > Warwick Medical School > Biomedical Sciences > Translational & Experimental Medicine Faculty of Medicine > Warwick Medical School
Publisher:	bioRXiv
Place of Publication:	Cold Spring Harbor
Official Date:	2019
Dates:	Date Event 2019 Available
Institution:	University of Warwick
Status:	Peer Reviewed
Publication Status:	Unpublished
Access rights to Published version:	Restricted or Subscription Access
Open Access Version:	bioRxiv

Request changes or add full text files to a record

Repository staff actions (login required)

View Item