Coles, Steven ORCID: https://orcid.org/0000-0002-1109-6971 and Wadley, Alex (2017) Can BCAT1 Expression Level Help Predict Disease Progression in Chronic Lymphocytic Leukaemia. Cancer and Oncology: Open Access Journal, 1 (1).
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Abstract
Chronic lymphocytic leukaemia (CLL) is the most common blood
cancer in the UK, with an incidence of >3500 newly diagnosed
cases per year resulting in >1000 deaths. Disease prevalence
increases with age, where the majority of patients are >65 years
old [1]. CLL is a largely indolent disease and is routinely staged
according to the Binet system as follows; stage A (involving
0-2 lymphoid sites), stage B (involving 2-5 lymphoid cites) and
stage C (platelets < 1x1011/L or haemoglobin <10g/dL), the
latter stage reflecting loss of bone marrow function [2]. Whilst
for some stage A patients, the disease may remain stable for
many decades (median life expectancy of 13 years), for others
the disease progresses more rapidly [3]. This observation likely
reflects the genetic and molecular heterogeneity of CLL. As such
there are several prognostic risk factors used to stratify newly
diagnosed patients, which include; trisomy-12, 13q/17p/11q23
deletion, advanced stage, males>females, unmutated VH Ig
genes, raised lactate dehydrogenase activity and expression
of Zap70 and CD38 [4]. CLL is traditionally treated with a
combination of chemotherapeutic reagents, namely, Fludarabine/
Cyclophosphamide/Rituximab (FCR), however treatment remains
challenging within the elderly population [1]. Lately the Brutan’s
tyrosine kinase inhibitor, Ibrutinib, has shown great promise for
the treatment of CLL [5]. However, exceptions are identified as
well as treatment resistance prompting further research into CLL
treatment strategies [6].
Item Type: | Article |
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Additional Information: | The full-text of the online published article can be accessed via the Official URL. |
Uncontrolled Discrete Keywords: | CLL, lymphocyte, prognosis, oncogenesis, metabolism |
Subjects: | R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer) |
Divisions: | College of Health, Life and Environmental Sciences > School of Science and the Environment |
Related URLs: | |
Copyright Info: | Open Access article (UW LS APC) |
Depositing User: | Steven Coles |
Date Deposited: | 22 Nov 2017 08:56 |
Last Modified: | 17 Jun 2020 17:20 |
URI: | https://eprints.worc.ac.uk/id/eprint/6118 |
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