READ ME File For Dataset in support of the thesis 'The clinical utility of (epi)genomic biomarkers in chronic lymphocytic leukaemia'

Dataset DOI: https://doi.org/10.5258/SOTON/D3336

ReadMe Author: Louise Carr, University of Southampton ORCID ID 0000-0002-0653-7250

This dataset supports the thesis entitled 
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: 2025

DESCRIPTION OF THE DATA
[This should include a detailed description of the data, how it was collected/created, any specialist software needed to view the data]

This dataset contains:
Data is available for each of the main results chapter; chapter 2, 4, and 6.
Chapter 2- list of publications that were manually examined using a set eligibility criteria as part of the manuscript search for the systematic review.
Chapter 4- Master spreadsheet containing information on telomere length and eptype variable for all 519 CLL patients used in the statistical cohort in chapter 4.
Chapter 6- Master spreadsheet containing information on variables  for all 495 CLL patients used in the statistical cohort in chapter 6. Variables included in the spreadsheet are; telomere length, CNAs, and somatic mutations. 
All patients are from clinical trials and have been refered to using the anonymised patient ID. 

Date of data collection: 02/09/2019- 29/08/2024

Related projects/Funders:
This work was funded by Cancer Research UK and the Medical Research Council (MRC). 

Related publication:
Carr. L et al (2024) Telomere length and DNA methylation epitype both provide independent prognostic information in CLL patients; data from the UK CLL4, ARCTIC and ADMIRE clinical trials. DOI: 10.1111/bjh.19765

Date that the file was created: Janurary, 2025