The University of Southampton
University of Southampton Institutional Repository

The clinical utility of (epi)genomic biomarkers in chronic lymphocytic leukaemia

The clinical utility of (epi)genomic biomarkers in chronic lymphocytic leukaemia
The clinical utility of (epi)genomic biomarkers in chronic lymphocytic leukaemia
Chronic lymphocytic leukaemia (CLL) presents as a biological and clinically heterogenous disease, with some patients requiring immediate intervention whilst other have a more benign disease. In this thesis, a large cohort of patients enrolled in chemo(immuno-) therapy clinical trials, CLL4, ARCTIC or ADMIRE, with extensive molecular characterisation is used to examine the clinical power of three novel CLL biomarkers, methylation based epitype, telomere length (TL) and genomic complexity (GC). Published work have reported that these biomarkers are clinically relevant. However, they have not been analysed together within a single clinical trial cohort. Also, a description of the biological context of these biomarkers is an additional aim. A systematic review with narrative synthesis was completed. Various experimental work and bioinformatic analysis, undertaken by myself, generated new copy number aberration (CNA) (n=153), TL (n=83) and variant (n=42) data using shallow whole genome sequencing, monochrome multiplex QPCR and HS2 target enrichment techniques, respectively. Extensive statistical and survival analysis was completed. Data classifying CLL patients into three epitype subgroups: naïvelike (n-CLL), intermediate (i-CLL), and memory-like CLL (m-CLL) was utilised. GC was defined as low (0-2 CNAs), intermediate (3-4 CNAs) and high (≥5 CNAs) GC. Published TL cut-offs (TL-Short <2.92kb, TL-Intermediate 2.92–3.57kb, TL-Long >3.57kb) was also used. Results found the n-CLL epitype, TL-S and high GC variables were associated with many other poor risk features and were predictive of a poor survival. A strong relationship between TL and epitype was also found. As well as confirming previously reported results, the key results of this project include: 1) a significant enrichment of i-CLL epitype in intermediate GC patients was found; 2) greater GC was correlated with shortening TL (TL-S) and an increased prevalence of the n-CLL epitype; 3) survival analysis showed that the i-CLL subgroup can be further stratified by TL, with TL-L predicting a prolonged survival; 4) Both TL and epitype have prognostic utility in identifying patients destined to have poor survival; 5) high GC, but not intermediate GC, was an predictor of a dismal overall survival independently of TP53 aberration or unmutated IGHV status. In conclusion, for the first time the clinical significance of TL, epitype and GC was examined together within a clinical trial cohort. Results suggest that the combination of TL and epitype can further stratify the mutated IGHV group. Additionally, the biological composition and clinical significance of three GC subgroups was described. This work supports the use of GC as a prognostic biomarker in the clinical setting. However, as reported in the systematic review, a consensus within the CLL community about the metric used to define GC and what technology should be used to detect GC needs to be reached before this biomarker can be fully validated.
University of Southampton
Carr, Louise Jane
9490f922-0499-4caa-a62b-1b18924e2466
Carr, Louise Jane
9490f922-0499-4caa-a62b-1b18924e2466
Parker, Helen
33e0cd81-d45f-49bc-9539-09345d79d895
Strefford, Jon
3782b392-f080-42bf-bdca-8aa5d6ca532f
Gibson, Jane
855033a6-38f3-4853-8f60-d7d4561226ae

Carr, Louise Jane (2025) The clinical utility of (epi)genomic biomarkers in chronic lymphocytic leukaemia. University of Southampton, Doctoral Thesis, 295pp.

Record type: Thesis (Doctoral)

Abstract

Chronic lymphocytic leukaemia (CLL) presents as a biological and clinically heterogenous disease, with some patients requiring immediate intervention whilst other have a more benign disease. In this thesis, a large cohort of patients enrolled in chemo(immuno-) therapy clinical trials, CLL4, ARCTIC or ADMIRE, with extensive molecular characterisation is used to examine the clinical power of three novel CLL biomarkers, methylation based epitype, telomere length (TL) and genomic complexity (GC). Published work have reported that these biomarkers are clinically relevant. However, they have not been analysed together within a single clinical trial cohort. Also, a description of the biological context of these biomarkers is an additional aim. A systematic review with narrative synthesis was completed. Various experimental work and bioinformatic analysis, undertaken by myself, generated new copy number aberration (CNA) (n=153), TL (n=83) and variant (n=42) data using shallow whole genome sequencing, monochrome multiplex QPCR and HS2 target enrichment techniques, respectively. Extensive statistical and survival analysis was completed. Data classifying CLL patients into three epitype subgroups: naïvelike (n-CLL), intermediate (i-CLL), and memory-like CLL (m-CLL) was utilised. GC was defined as low (0-2 CNAs), intermediate (3-4 CNAs) and high (≥5 CNAs) GC. Published TL cut-offs (TL-Short <2.92kb, TL-Intermediate 2.92–3.57kb, TL-Long >3.57kb) was also used. Results found the n-CLL epitype, TL-S and high GC variables were associated with many other poor risk features and were predictive of a poor survival. A strong relationship between TL and epitype was also found. As well as confirming previously reported results, the key results of this project include: 1) a significant enrichment of i-CLL epitype in intermediate GC patients was found; 2) greater GC was correlated with shortening TL (TL-S) and an increased prevalence of the n-CLL epitype; 3) survival analysis showed that the i-CLL subgroup can be further stratified by TL, with TL-L predicting a prolonged survival; 4) Both TL and epitype have prognostic utility in identifying patients destined to have poor survival; 5) high GC, but not intermediate GC, was an predictor of a dismal overall survival independently of TP53 aberration or unmutated IGHV status. In conclusion, for the first time the clinical significance of TL, epitype and GC was examined together within a clinical trial cohort. Results suggest that the combination of TL and epitype can further stratify the mutated IGHV group. Additionally, the biological composition and clinical significance of three GC subgroups was described. This work supports the use of GC as a prognostic biomarker in the clinical setting. However, as reported in the systematic review, a consensus within the CLL community about the metric used to define GC and what technology should be used to detect GC needs to be reached before this biomarker can be fully validated.

Text
Final_thesis_corrected_pdfa_3a - Version of Record
Available under License University of Southampton Thesis Licence.
Download (13MB)
Text
Final-thesis-submission-Examination-Miss-Louise-Carr
Restricted to Repository staff only

More information

Published date: March 2025

Identifiers

Local EPrints ID: 498928
URI: http://eprints.soton.ac.uk/id/eprint/498928
PURE UUID: e126a047-0191-46d8-ac52-0cef2bf99846
ORCID for Helen Parker: ORCID iD orcid.org/0000-0001-8308-9781
ORCID for Jon Strefford: ORCID iD orcid.org/0000-0002-0972-2881
ORCID for Jane Gibson: ORCID iD orcid.org/0000-0002-0973-8285

Catalogue record

Date deposited: 04 Mar 2025 18:11
Last modified: 11 Sep 2025 04:03

Export record

Contributors

Author: Louise Jane Carr
Thesis advisor: Helen Parker ORCID iD
Thesis advisor: Jon Strefford ORCID iD
Thesis advisor: Jane Gibson ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×