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Evaluating a rapid method to quantify multiple gene expression in acute myeloid leukaemia

Acute myeloid leukaemia (AML) is a clonal disease characterized by the proliferation and accumulation of myeloid progenitor cells in the bone marrow and peripheral blood. Prognostic markers are needed to predict patient’s response to therapy and reduce under- or over-treatment. Age, white blood coun...

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Main Author: Lee, Cin Dee
Format: Thesis
Language:English
Published: 2013
Subjects:
Gene expression - Research
Acute myeloid leukemia
Online Access:http://psasir.upm.edu.my/id/eprint/78425/1/IB%202013%2046%20ir.pdf
http://psasir.upm.edu.my/id/eprint/78425/
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spelling my.upm.eprints.784252022-01-17T07:44:20Z http://psasir.upm.edu.my/id/eprint/78425/ Evaluating a rapid method to quantify multiple gene expression in acute myeloid leukaemia Lee, Cin Dee Acute myeloid leukaemia (AML) is a clonal disease characterized by the proliferation and accumulation of myeloid progenitor cells in the bone marrow and peripheral blood. Prognostic markers are needed to predict patient’s response to therapy and reduce under- or over-treatment. Age, white blood counts and cytogenetics are currently routine prognostic markers but are limited by the test and the number of patients who can benefit from it. Large scale gene profiling methods have further identified genetic aberrations such as microdeletions and mutations associated with pathogenesis of disease and outcome. Thus, further screening and confirmation using reliable and accurate high-throughput methods are required. A pool of genes with potential markers was isolated from good and poor prognosis patients in the previous study, where subtractive hybridisation was applied on randomly selected patient based on their prognosis. The expressions of these markers were then evaluated on leukaemia cell lines. This study, aims to further examine the expression of these markers on AML samples and confirm its prognostic properties. Thirty newly diagnosed acute myeloid leukaemia (AML) cases were included in the study. The diagnosis and treatment outcome of these cases were retrieved from haematological reports and clinical data from the hospital involved. Nineteen potential genes identified from earlier study and four housekeeping genes were selected and the level of expression was determined using the GeXP method and confirmed using the real-time PCR method. Results revealed that several genes including CALM2, CSTB and TMSB4X may be related to good prognosis while SON, PGK1 and SF3B1 may be related to poor prognostic in acute myeloid leukaemias. The GeXP method has several advantages over real-time PCR including the requirement for less samples, simultaneous optimization and examination of all target and reference genes in a reaction and no requirement for repeated standard curves which are all important considerations to the study of clinical samples. This study has provided much insight into reliable techniques for selection of biomarkers and identified potential prognostic markers for acute myeloid leukaemias. This will in turn lead towards more-directed therapy for patients. 2013-07 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/78425/1/IB%202013%2046%20ir.pdf Lee, Cin Dee (2013) Evaluating a rapid method to quantify multiple gene expression in acute myeloid leukaemia. Masters thesis, Universiti Putra Malaysia. Gene expression - Research Acute myeloid leukemia
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
topic Gene expression - Research
Acute myeloid leukemia
spellingShingle Gene expression - Research
Acute myeloid leukemia
Lee, Cin Dee
Evaluating a rapid method to quantify multiple gene expression in acute myeloid leukaemia
description Acute myeloid leukaemia (AML) is a clonal disease characterized by the proliferation and accumulation of myeloid progenitor cells in the bone marrow and peripheral blood. Prognostic markers are needed to predict patient’s response to therapy and reduce under- or over-treatment. Age, white blood counts and cytogenetics are currently routine prognostic markers but are limited by the test and the number of patients who can benefit from it. Large scale gene profiling methods have further identified genetic aberrations such as microdeletions and mutations associated with pathogenesis of disease and outcome. Thus, further screening and confirmation using reliable and accurate high-throughput methods are required. A pool of genes with potential markers was isolated from good and poor prognosis patients in the previous study, where subtractive hybridisation was applied on randomly selected patient based on their prognosis. The expressions of these markers were then evaluated on leukaemia cell lines. This study, aims to further examine the expression of these markers on AML samples and confirm its prognostic properties. Thirty newly diagnosed acute myeloid leukaemia (AML) cases were included in the study. The diagnosis and treatment outcome of these cases were retrieved from haematological reports and clinical data from the hospital involved. Nineteen potential genes identified from earlier study and four housekeeping genes were selected and the level of expression was determined using the GeXP method and confirmed using the real-time PCR method. Results revealed that several genes including CALM2, CSTB and TMSB4X may be related to good prognosis while SON, PGK1 and SF3B1 may be related to poor prognostic in acute myeloid leukaemias. The GeXP method has several advantages over real-time PCR including the requirement for less samples, simultaneous optimization and examination of all target and reference genes in a reaction and no requirement for repeated standard curves which are all important considerations to the study of clinical samples. This study has provided much insight into reliable techniques for selection of biomarkers and identified potential prognostic markers for acute myeloid leukaemias. This will in turn lead towards more-directed therapy for patients.
format Thesis
author Lee, Cin Dee
author_facet Lee, Cin Dee
author_sort Lee, Cin Dee
title Evaluating a rapid method to quantify multiple gene expression in acute myeloid leukaemia
title_short Evaluating a rapid method to quantify multiple gene expression in acute myeloid leukaemia
title_full Evaluating a rapid method to quantify multiple gene expression in acute myeloid leukaemia
title_fullStr Evaluating a rapid method to quantify multiple gene expression in acute myeloid leukaemia
title_full_unstemmed Evaluating a rapid method to quantify multiple gene expression in acute myeloid leukaemia
title_sort evaluating a rapid method to quantify multiple gene expression in acute myeloid leukaemia
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/78425/1/IB%202013%2046%20ir.pdf
http://psasir.upm.edu.my/id/eprint/78425/
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score 13.211869

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