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BCR-ABL1 POSITIVE ACUTE LYMPHOBLASTIC LEUKAEMIA IN GHANAIAN
PATIENTS
BY VICTOR OBENG OFORI
STUDENT ID: 10550491
THIS THESIS IS SUBMITTED TO THE UNIVERSITY OF GHANA, LEGON IN
PARTIAL FULFILMENT OF THE REQUIREMENT FOR THE AWARD OF MPHIL
HAEMATOLOGY DEGREE
DEPARTMENT OF HAEMATOLOGY
SCHOOL OF BIOMEDICAL AND ALLIED HEALTH SCIENCES
COLLEGE OF HEALTH SCIENCES
JULY 2018
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DECLARATION
I, Victor Obeng Ofori, a student of the Haematology Department, hereby make a declaration that
this work is original and was carried out by me under the supervision by supervisors whose
signatures are below.
Student: Signature: _____ Date:
VICTOR OBENG OFORI
Supervisors:
Signature: _______________________________ Date:
AMMA ANIMA BENNEH-AKWASI KUMA – MBChB, FGCPS, FWACP
Department of Haematology, University of Ghana
Signature: ________________________________ Date:
EDEGHONGHON OLAYEMI – MSc., MBBS, FWACP
Department of Haematology, University of Ghana
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DEDICATION
I dedicate this project to Almighty God for being my source of strength and wisdom and also to
my dear mother, Vida Obeng Addai for her inspiration and support. I also dedicate this work to
my dear wife, Rebecca Abora and my lovely daughter, Vida Obeng Addai Ofori.
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ACKNOWLEDGEMENT
I would like to express my profound gratitude to Professor Susan Crocker, Department of
Pathology and Molecular Medicine at Queens University, Canada. Professor Crocker made this
work possible by arranging for me to visit her laboratory at Queens to carry out the benchwork
and reviewed this work. I would also like to thank Brooke Ring-Snetsinger of Queens
Laboratory for Molecular Pathology (QLMP) for her patience and the time she devoted to train
me on the fluorescent in-situ hybridisation technique. I am also grateful to Shakeel Virk, Andy
Zhang and all the other staff and students of QLMP for their assistance.
I wish to give special thanks to my supervisors Dr. Amma Anima Benneh and Dr. Edeghonghon
Olayemi of Haematology Department (University of Ghana) for their supervision and counseling
which has enabled me complete this work. I would also like to thank the other lecturers in the
Department (Prof. J. K. Acquaye and Dr. Yvonne Dei-Adomako) for their advice and
encouragement. To Francisco Torto and all the administrative and technical staff in the
Haematology department who assisted me in various ways, I thank you. Many thanks to the staff
of the Central laboratory (Haematology Special) and Haematology Day care unit of the Korle Bu
Teaching Hospital.
I express my appreciation to Dr. Tom Ndanu (School of Medicine and Dentistry, University of
Ghana) for his assistance in the statistical aspect of the work. Francis Krampa, Alice Charwudzi
and all those who assisted me in diverse ways, I duly acknowledge your efforts.
Finally, many thanks to Brosaman Company Ltd and Achimota Mile 7 Church of Christ who
supported me with funds to be able to carry out this work.
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TABLE OF CONTENTS
DECLARATION ............................................................................................................................................... ii
DEDICATION ................................................................................................................................................. iii
ACKNOWLEDGEMENT .................................................................................................................................. iv
TABLE OF CONTENTS ..................................................................................................................................... v
LIST OF TABLES ............................................................................................................................................. ix
LIST OF FIGURES ............................................................................................................................................ x
ABBREVIATIONS ....................................................................................................................................... xi
ABSTRACT ................................................................................................................................................xiii
CHAPTER ONE ................................................................................................................................................ i
INTRODUCTION .......................................................................................................................................... i
1.1 Background ...................................................................................................................................... i
1.2 Problem statement ......................................................................................................................... 3
1.3 Justification ..................................................................................................................................... 4
1.4 Aim .................................................................................................................................................. 5
1.5 Specific Objectives .......................................................................................................................... 5
CHAPTER TWO .............................................................................................................................................. 6
LITERATURE REVIEW ................................................................................................................................. 6
2.1 Definitions ....................................................................................................................................... 6
2.2 Classification ................................................................................................................................... 7
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2.3 Epidemiology ................................................................................................................................... 8
2.4 Aetiology ......................................................................................................................................... 9
2.5 Cytogenetics and Molecular genetics ........................................................................................... 10
2.6 Risk Factors ................................................................................................................................... 11
2.7 Pathogenesis ................................................................................................................................. 13
2.8 Clinical features and laboratory findings ...................................................................................... 14
2.9 Laboratory Diagnosis..................................................................................................................... 15
2.10 Treatment ................................................................................................................................... 16
2.11 Prognosis ..................................................................................................................................... 17
2.12 Monitoring .................................................................................................................................. 18
CHAPTER 3 .................................................................................................................................................. 19
METHODOLOGY ...................................................................................................................................... 19
3.1 Study design .................................................................................................................................. 19
3.2 Study site ....................................................................................................................................... 19
3.3 Study Population ........................................................................................................................... 20
3.4 Inclusion criteria ............................................................................................................................ 20
3.5 Exclusion criteria ........................................................................................................................... 20
3.6 Sample size determination ........................................................................................................... 20
3.7 Selection of samples and data collection ...................................................................................... 21
3.8 Materials and Methods ................................................................................................................. 22
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3.9 Procedure ...................................................................................................................................... 23
3.10 Data Handling .............................................................................................................................. 27
3.11 Statistical analysis ....................................................................................................................... 27
CHAPTER 4 .................................................................................................................................................. 28
RESULTS .................................................................................................................................................. 28
4.1 Fluorescence In Situ Hybridization results and frequency of the BCR-ABL1 gene in samples. ..... 30
4.2 Selected FISH Images .................................................................................................................... 31
4.3 Demographics ............................................................................................................................... 36
4.5 Descriptive and Inferential Statistics of Clinical features and BCR-ABL1 gene ............................. 38
4.6 Descriptive and Inferential Statistics of Haematological parameters .......................................... 40
4.7 Descriptive and Inferential Statistics of BCR-ABL1 gene and Clinical Outcome ........................... 41
4.8 Features of the BCR-ABL1 Positive Cases ...................................................................................... 42
CHAPTER 5 .................................................................................................................................................. 43
DISCUSSION AND CONCLUSION .............................................................................................................. 43
5.1 Frequency ...................................................................................................................................... 43
5.2 Age and Gender ............................................................................................................................ 44
5.3 Clinical Features ............................................................................................................................ 45
5.4 Haematological Parameters .......................................................................................................... 45
5.5 Clinical Outcome ........................................................................................................................... 47
5.6 Limitations of the Study ................................................................................................................ 47
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5.7 Conclusion ..................................................................................................................................... 47
5.8 Recommendation .......................................................................................................................... 48
REFERENCES ............................................................................................................................................ 49
APPENDIX A ................................................................................................................................................. 61
APPENDIX B ............................................................................................................................................. 64
APPENDIX C ................................................................................................................................................. 68
APPENDIX D ................................................................................................................................................. 69
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LIST OF TABLES
Table 1: IMMUNOPHENOTYPIC CLASSIFICATION OF ACUTE LYMPHOBLASTIC LEUKAEMIA
...................................................................................................................................................................... 7
Table 2: DRUGS USED IN THE TREATMENT OF ACUTE LYMPHOBLASTIC LEUKAEMIA ....... 16
Table 3: FISH RESULTS FOR BCR-ABL1 FUSION GENE ................................................................... 30
Table 4: BCR-ABL1 FUSION GENE AND SEX ...................................................................................... 36
Table 5: BCR-ABL1 FUSION GENE AND AGE ..................................................................................... 37
Table 6: BCR-ABL1 FUSION GENE AND CLINICAL FEATURES ...................................................... 39
Table 7: BCR-ABL1 FUSION GENE AND HAEMATOLOGICAL PARAMETERS ............................. 40
Table 8: BCR-ABL1 FUSION GENE AND CLINICAL OUTCOME ...................................................... 41
Table 9: FEATURES OF BCR-ABL1 POSITIVE CASES ....................................................................... 42
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LIST OF FIGURES
Figure 1: FLOW DIAGRAM FOR THE SELECTION OF BONE MARROW ASPIRATE SLIDES FOR
THE STUDY .............................................................................................................................................. 29
Figure 2: Negative Control ......................................................................................................................... 31
Figure 3: BCR-ABL1 fusion Negative Case ............................................................................................... 32
Figure 4: Positive Control ........................................................................................................................... 33
Figure 5:BCR-ABL1 fusion Positive Case ................................................................................................. 34
Figure 6: BCR-ABL1 fusion case showing a single fusion signal .............................................................. 35
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ABBREVIATIONS
ABL1 – Abelson murine leukaemia viral oncogene homolog 1
AKT – Ak strain transforming
ALL - Acute lymphoblastic leukaemia
ATCC ® - American Type Culture Collection
BCR - Breakpoint cluster region
BCR-ABL1 - Breakpoint cluster region - Abelson murine leukaemia viral oncogene homolog 1
CDKN2A – Cyclin-dependent kinase inhibitor 2A gene
DAPI - 4,6 – Diamidino v- 2- Phenylindole, Dihydrochloride)
CDKN2B - Cyclin-dependent kinase inhibitor 2B gene
DNA – Deoxyribonucleic acid
E2A – Transcription factor E2-alpha gene
EBF1 - Early B-cell factor 1 gene
FISH – Fluorescence in situ hybridisation
GST T1- Glutathione S transferase theta 1 gene
ETV6-RUNX1 -ETS-variant 6 -runt-related transcription factor 1 gene
Hb - Haemoglobin
IL-7R – Interleukin-7 receptor
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IKZF1 - Ikaros family zinc finger 1 gene
JAK – Janus kinase
KBTH - Korle Bu Teaching Hospital
MAPK - Mitogen-activated protein kinase
MD - Monroe Dunaway
mTor – Mammalian target of rapamycin
MTR – 5 – methyl tetrahydrofolate-homocysteine methyltransferase gene
MW - Mann-Whitney
MLL-AF4 - Mixed-lineage leukaemia -ALL-1 fused gene on chromosome 4
PAX5 - Paired box 5 gene
PBS – Phosphate buffered saline
PI3 – Phosphatidylinositol -4,5- bisphosphate 3 - kinase
Plt – Platelet
RAS - Rat sarcoma
SSC – Saline-sodium citrate
STAT – Signal transducer and activator of transcription proteins
WBC - White blood cell
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ABSTRACT
Background: Acute lymphoblastic leukaemia (ALL) is the accumulation of lymphoblasts in the
bone marrow as a result of malignant transformation resulting in proliferation of immature
lymphoid progenitors or lymphoblasts. It results from perturbation of several genetic loci. The
chimeric BCR-ABL1 gene fusion is one of such genetic alterations. Even though the presence of
BCR-ABL1 has been associated with poor prognosis, the incorporation of tyrosine kinase
inhibitors in treatment protocols has been shown to be of enormous benefit. In Ghana as well as
most African countries, research work on its prevalence and clinical associations is limited.
Aim: To determine the frequency and associated laboratory and clinical features of the chimeric
BCR-ABL1 gene in patients diagnosed with acute lymphoblastic leukaemia at the Department of
Haematology, Korle Bu Teaching Hospital (KBTH).
Methods: This is retrospective cross-sectional study. Methanol-fixed archived bone marrow
aspirate slides of patients diagnosed with ALL at the Department of Haematology, KBTH were
retrieved. Data on clinical features (signs) and haematological parameters was obtained from the
patients’ medical records. The presence of the chimeric BCR-ABL1 fusion gene was determined
on the bone marrow aspirate slides by fluorescent in situ hybridization (FISH).
Results: A total of 17 cases were studied of which 13 (76.5%) were males and 4 (23.5%) were
females. The ages of the participants ranged from 15 to 67 years ((mean = 31.5 years, SD =
16.9 years). A frequency of 29.4% was obtained for the BCR-ABL1 fusion gene. Of the clinical
features studied, lymphadenopathy was present in 7 (40%) of study cases whereas splenomegaly
and hepatomegaly were present in 4 (23.5%) and 5 (35.7%) respectively. No significant
association was established between BCR-ABL1 positivity and these clinical features. All
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subjects had severe to moderate anaemia with haemoglobin concentration ranging from 3.7 to
8.7g/dL. The mean haemoglobin concentration for BCR-ABL1 positive cases was higher than
that of the negative cases (7.26 versus 6.62 g/dL respectively), however, statistical significance
was not reached (P = 0.506). The mean white blood cell count, bone marrow blast percentages
and platelet counts were lower in BCR-ABL1 positive cases than in the negative cases (36.83,
73.00 and 54.60 ×109/L versus 73.53, 82.18 and 74.33×109/L respectively) although no
significant association was established between these haematological parameters and BCR-ABL1
positivity (P = 0.879, 0.721 and 0.506 respectively). Also, there was no statistically significant
difference in clinical outcome between the BCR-ABL1 positive and negative cases.
Conclusion: The BCR-ABL1 fusion gene is present in nearly one third of adult acute
lymphoblastic leukaemia cases seen in this study and has no significant association with the
clinical features and haematological parameters of the disease. A larger study will be needed to
make a decision with regard to the modification of treatment regimen for adult BCR-ABL1
positive ALL.
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CHAPTER ONE
INTRODUCTION
1.1 Background
Acute lymphoblastic leukaemia (ALL) is the accumulation of lymphoblasts in the bone marrow
as a result of malignant transformation resulting in proliferation of immature lymphoid
progenitors or lymphoblasts (Ahmed, Dawson, Smith, & Wood, 2006). It arises from several
kinds of genetic alterations which affect haemopoietic stem cells, early progenitor cells or genes
that regulate the growth and differentiation of lymphoid cells (Nagarajan, 2010; Rose, 2013).
Among these mutations is the ETV6-RUNX1 and hyperdiploidy which are generally associated
with good prognosis and hypodiploidy, MLL-AF4 and the BCR-ABL1 which are associated with
poor prognosis (Mrozek, Harper, & Aplan, 2009). The BCR-ABL1 fusion gene results from
translocations involving chromosomes 9 and 22 and gives rise to BCR-ABL1 positive ALL
(Fainstein et al., 1987). Even though this mutation has been associated with poor prognosis, the
addition of tyrosine kinase inhibitors such as imatinib, nilotinib or dasatinib to treatment
protocols has been shown to produce improved haematologic and cytogenetic remission rates
(Ottmann et al., 2007). This study is aimed at obtaining the frequency and associated clinical
features of the BCR-ABL1 fusion mutation among patients diagnosed with acute lymphoblastic
leukaemia at the Korle Bu Teaching Hospital (KBTH).
Acute lymphoblastic leukaemia has an estimated global incidence of 1 to 4.75 per 100, 000
people (Redaelli, Laskin, Stephens, Botteman, & Pashos, 2005). Acute Lymphoblastic leukaemia
accounts for about 20% of leukaemias in adults and 80% of childhood acute leukaemias making
it the most common leukaemia in children. (Jabbour, O'Brien, Konopleva, & Kantarjian, 2015).
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It has been shown to have the highest frequency of nearly 34% among all leukaemias diagnosed
in the Korle Bu Teaching Hospital in Ghana (Ekem & Dei-Adomako, 2015). A frequency of
16.9% was obtained in a study carried out in Nigeria (Damulak, Egesie, Jatau, Ogbenna, &
Adediran, 2017). Furthermore, the findings of a study conducted at the Komfo Anokye Teaching
Hospital in Ghana revealed that ALL accounted for 10% of childhood cancers, the second most
common after Burkitt’s Lymphoma (Painstil et al., 2015).
The chimeric BCR-ABL1 gene mutation occurs at varying frequencies in ALL in the range of 1-
5% and 11-29% in pediatric and adult cases respectively (Mrozek et al., 2009). The prevalence
of BCR-ABL1 gene fusion in adult ALL cases from a multicenter study involving five cancer
groups which includes the Cancer and Leukaemia group B and the MD Anderson Cancer Center
is 20% whereas 15% was obtained in a population-based study of adult ALL cases in the United
Kingdom (Anthony V Moorman, Chilton, et al., 2010; Roberts et al., 2015).In a study conducted
in the South-western area of the Cape Province of South Africa, 9% of the patients diagnosed
with ALL were blacks whereas 43% and 48% were of mixed ancestry (coloured) and white
respectively (Jacobs, 1985). To date, no further studies have investigated the incidence of BCR-
ABL1 fusion in this population and many other regions in Africa resulting in a paucity of
information.
The cumulative mortality of 5-year survivors of childhood ALL at 25 years after diagnosis has
been shown to be 13% in a cohort study conducted in United States and Canada. (Mody et al.,
2008). The overall 5-year survival of newly diagnosed cases of adult ALL is 38% whereas 7%
was observed for relapsed cases (Fielding et al., 2007).
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Early allogenic bone marrow transplantation has been associated with improved overall survival
in adult ALL cases particularly those associated with poor prognosis including those having the
BCR-ABL1 gene fusion (75% 6-year overall survival compared with 41% for delayed autologous
stem cell transplantations) (Hunault et al., 2004). Furthermore, the incorporation of tyrosine
kinase inhibitors to therapeutic protocols has been associated with improved survival in BCR-
ABL1 positive ALL (Brissot et al., 2015; Fielding et al., 2014).
1.2 Problem statement
Acute lymphoblastic leukaemia is the accumulation of lymphoblasts in the bone marrow
secondary to mutations in lymphoid stem cells (Ahmed et al., 2006; Hoffbrand & Moss, 2015).
The chimeric BCR-ABL1 fusion gene which is the molecular equivalent of the Philadelphia
chromosome results from translocation of the ABL cellular oncogene on chromosome 9 to the
BCR gene on chromosome 22(Mullighan, 2012). This results in the synthesis of either a 210kD
or 190kD protein with enhanced tyrosine kinase activity compared with the normal 145kD
protein (Hoffman et al., 2012; Kumar, Abbas, Fausto, & Aster, 2009).
The BCR-ABL1 fusion gene has been implicated as poor prognostic indicator in adult as well as
childhood ALL as it has been associated with decreased overall and event free survival rates
(Fletcher et al., 1991; Pullarkat, Slovak, Kopecky, Forman, & Appelbaum, 2008). Its frequency
varies across different populations. Research on its frequency and clinical associations in Africa
is limited and none has been carried out in Ghana. Since the prevalence of this mutant gene in
ALL and its association with clinical features is unknown in Ghana, patients diagnosed with
ALL are not routinely screened for its presence as it is costly. Treatment regimen is therefore not
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adjusted for those who may be positive for the mutation even though tyrosine kinase inhibitors
(TKIs) may be of enormous benefit to such patients and are available in Ghana.
Acute lymphoblastic leukaemia has an estimated global incidence of 1 to 4.75 per 100, 000
people (Redaelli et al., 2005). The chimeric BCR-ABL1 gene mutation occurs at varying
frequencies in ALL in the range of 1-5% and 11-29% in pediatric and adult cases respectively
(Mrozek et al., 2009).
In a study conducted in the South-western area of the Cape Province of South Africa, 9% of the
patients diagnosed with ALL were blacks whereas 43% and 48% were of mixed ancestry and
white respectively (Jacobs, 1985). To date, no further studies have investigated the incidence of
BCR-ABL1 fusion in this population and many other regions in Africa. Therefore, the prevalence
and the associated clinical signs and haematological parameters of this genetic alteration in
patients diagnosed with acute lymphoblastic leukaemia in Ghana are not known.
The overall 5-year survival of newly diagnosed cases of adult ALL is 38% whereas 7% was
observed for relapsed cases (Fielding et al., 2007). The incorporation of tyrosine kinase
inhibitors to therapeutic protocols has been associated with improved survival in BCR-ABL1
positive ALL (Brissot et al., 2015; Fielding et al., 2014).
1.3 Justification
Optimum outcome is achieved if treatment modalities in ALL is tailored according to the
cytogenetic and/or molecular genetic abnormalities present since they are associated with
different prognosis (Cario et al., 2005; Anthony V Moorman, Ensor, et al., 2010; Slovak et al.,
2000). This study will provide information on the prevalence as well as associated clinical
features and haematological parameters of the BCR-ABL1 fusion mutation among patients
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diagnosed with ALL at the Department of Haematology, KBTH. The findings of this study may
serve as the basis for informed decision making with regards to screening for BCR-ABL1 gene as
part of the panel of tests for ALL patients and the establishment of the proper treatment protocol
for the BCR-ABL1 positive cases thereby improving patient outcomes.
1.4 Aim
To determine the frequency and the associated laboratory and clinical features of the chimeric
BCR-ABL1 gene in patients diagnosed with Acute lymphoblastic leukaemia at the Department of
Haematology, Korle Bu Teaching Hospital (KBTH).
1.5 Specific Objectives
1. To determine the frequency of the chimeric BCR-ABL1 gene fusion in adult ALL
patients seen at the Haematology Department, Korle Bu Teaching Hospital (KBTH).
2. To determine the association between BCR – ABL1 positivity and clinical features of
adult ALL patients.
3. To determine the association between BCR – ABL 1 positivity and haematological
parameters (white blood cell counts, platelet counts, haemoglobin concentrations and
bone marrow blast percentage) of adult ALL patients.
4. To determine association between BCR-ABL1 positivity and treatment outcome of adult
ALL patients.
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CHAPTER TWO
LITERATURE REVIEW
2.1 Definitions
Acute lymphoblastic leukaemia (ALL) is the accumulation of lymphoblasts in the bone marrow
secondary to mutations in lymphoid stem cells (Ahmed et al., 2006; Hoffbrand & Moss, 2015). It
is characterized by the presence of more than 20% leukaemic blasts in the bone marrow at
clinical presentation although a lesser percentage is also definitive if specific leukaemic
cytogenetic or molecular genetic abnormalities are present (Hoffbrand & Moss, 2015).
Among the genetic mutations implicated in the development of ALL is the chimeric BCR-ABL1
fusion gene which is the molecular equivalent of the Philadelphia chromosome which results
from translocation of the ABL cellular oncogene on chromosome 9 to the BCR gene on
chromosome 22 (Shtivelman, Lifshitz, Gale, & Canaani, 1985). This results in the synthesis of
either a 190kD or 210kD protein with enhanced tyrosine kinase activity compared with the
normal 145kD protein (Hoffman et al., 2012; Kumar et al., 2009). The p190 is the more
common in ALL than the p210. The frequency of the p190 is in the region 50 to 70% and 80%
for adult and pediatric cases respectively may occur simultaneously with the p210 in up to 19%
of BCR-ABL1 positive ALL(Hoffman et al., 2013). The incidence of the BCR-ABL1 gene has
been shown to vary across different ethnic groups in a study conducted in childhood ALL
(Ariffin et al., 2007).
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2.2 Classification
Acute lymphoblastic leukaemia may be either of a B-cell or a T-cell lineage. About 85% of the
cases are B cell with equal incidence in both sexes whereas the remaining 15% has male
predominance and originate from the T cell. (Hoffbrand & Moss, 2015) The table below shows
the detailed immunophenotypic classification. The determination of
the immunophenotype usually by flow cytometry aids in the establishment of diagnosis,
monitoring response to therapy and prognostic assessment (Alves et al., 2012).
Table 1: IMMUNOPHENOTYPIC CLASSIFICATION OF ACUTE LYMPHOBLASTIC
LEUKAEMIA
Early Pre- Mature Pro-T Pre-T Cortical Mature REFERENCES
Pre-B B B T T
TdT + + - + + + +/- 1.(Abeloff,
HLA- + + + +/- - - - Armitage,
DR Niederhuber, Kastan,
CD10 - +/- +/- +/- +/- +/- - & McKenna, 2008)
CD19 + + + - - - -
CD22 + + + - - - - 2. (Cairo & Perkins,
CD79a + + + - - - - 2012)
cIgM - + - - - - -
sIg - - + - - - -
cCD3 - - - + + +/- -
mCD3 - - - - - +/- +
Ccd7 - - - + + + +
CD2 - - - - + + +
CD1a - - - - - + +
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Some myeloid associated cluster of differentiation (CD) antigens are aberrantly expressed in
ALL especially in BCR-ABL1 positive cases. These markers which include CD13, CD33, CD14
and CD15 are good indicators of the presence of leukaemic blasts and minimal residual disease
although they have no prognostic importance (Stefan Faderl et al., 2010).
Acute lymphoblastic leukaemia may be classified as BCR-ABL1 positive or negative (the
molecular counterpart of Philadelphia positive or negative ALL) based on the results of BCR-
ABL1 testing whether positive or negative respectively and this is of prognostic significance
(Nashed, Rao, & Gulley, 2003; Terwilliger & Abdul-Hay, 2017).
2.3 Epidemiology
Acute Lymphoblastic leukaemia occurs in both pediatric and adult populations with peak
incidence at the age of 2 to 5 years (Hiroto Inaba, Mel Greaves, & Charles G. Mullighan, 2013;
Levy, 2010). The second peak incidence occurs in adults over 50 years (Lysaght et al., 2013). It
has an estimated global incidence of 1 to 4.75 per 100, 000 people (Redaelli et al., 2005). It has
been shown to have the highest frequency of nearly 34% among all leukaemias diagnosed in the
Korle Bu Teaching Hospital in Ghana (Ekem & Dei-Adomako, 2015) . About 60,000 new cases
are recorded annually in the United States of America with a male to female ratio of 1.3:1
(Hiroto Inaba et al., 2013).
The chimeric BCR-ABL1 gene mutation occurs at varying frequencies in ALL in the range of 1-
5% and 11-29% in pediatric and adult cases respectively (Mrozek et al., 2009). A frequency of
42% to 44% beyond age 44 has been reported in Germany (T. Burmeister et al., 2008). It was
detected in 22% of the 18 cases of childhood ALL that were studied in Sudan (Siddiqui et al.,
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2010). Also, 12.5% of the 40 cases of childhood and adult ALL cases in a study conducted in
Nigeria were BCR-ABL1 positive (Ajuba et al., 2016). A prevalence of 28.3% was recorded in
one study in India (Chopra et al., 2015).
In a study carried out in Saudi Arabia, none of the 16 cases of adult ALL investigated was
positive for the BCR-ABL1 fusion gene (El-Sissy, El-Mashari, Bassuni, & EL-SWAAYED,
2006).
In one study, no significant association was found to exist between BCR-ABL1 positivity and
age as well as gender (Hamid & Bokharaei, 2017)
The two main types of the BCR-ABL1 fusion transcripts (p190 and p210) occur in ALL but the
p190 is more prevalent (Cimino et al., 2006; Gleißner et al., 2002). In a study of 56 adult ALL
cases in the United States of America by the Cancer and Leukaemia Group B (CALGB), the
p190 variant accounted for 77% of the cases whereas the p210 was detected in the remaining
23% (Westbrook et al., 1992).
2.4 Aetiology
The acute lymphoblastic leukaemias arise from genetic mutations in the haemopoietic cells or
early progenitor cells (Rose, 2013). The mutations result in malignant transformations of these
cells by three mechanisms which include the following:
I) Enhanced rate of self-renewal and proliferation;
II) Impaired apoptosis resulting in survival advantage and
III) arrest of cellular differentiation (Hoffbrand & Moss, 2015).
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These events result in overproduction of lymphoblasts which accumulate in the bone marrow and
replace the normal cells as well as spill over into blood and infiltrate organs (Rose, 2013).
Also, mutations in the genes that regulate the growth and differentiation of lymphoid cells
resulting in abnormal production of their respective proteins have also been implicated in the
pathogenesis of acute lymphoblastic leukaemia (Nagarajan, 2010).
2.5 Cytogenetics and Molecular genetics
Some of the genetic alterations found in ALL include altered chromosome number (hyerdiploidy
and hypodiploidy), translocations which include t(12,21), t(4,11) and t(9,22) which give rise to
ETV6-RUNX1 , MLL-AF4 and the BCR-ABL1 fusion genes respectively (Mrozek et al., 2009).
In order for ALL to be manifested, these chromosomal abnormalities often act in tandem with
some other genetic lesions which include deletions or silencing of CDKN2A gene, alterations in
the PAX 5 gene and deletional changes affecting the E2A, EBF1 and IKZF family genes (Pui,
Robison, & Look, 2008). Of these, PAX 5 is the most common mutated gene and occurs in
nearly 32% of cases (Mullighan et al., 2007)
IKZF1 gene deletion mutations have been shown to play major contributory role in the
development of BCR-ABL1 positive acute lymphoblastic leukaemia (I. Iacobucci et al., 2009).
Also, PAX 5, CDKN2A/ARF and CDKN2B deletions have been associated with BCR-ABL1
positive ALL (Iacobucci et al., 2011).
The exact causes of the genetic mutation in most cases of ALL are not well elucidated; however,
certain inherited and environment factors have been implicated in the aetiogenesis of these
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events as they have been associated with increased risk of development of ALL and are
discussed below (Chang et al., 2007).
In a higher proportion of cases, the disease arises spontaneously in otherwise healthy individuals
without any predisposing factors (Terwilliger & Abdul-Hay, 2017)
2.6 Risk Factors
The risk factors are both inherited and environmental and include the following:
2.61 Inherited factors
The inherited genetic disorders that increases the predisposition to the development of ALL are
Down’s syndrome, Klinefelter’s syndrome, Fanconi’s anaemia, Bloom’s syndrome and ataxia-
telangiectasia (Chang et al., 2007; Pui et al., 2008). These risk factors are associated with only a
minority of cases (less than 5%) except in children with Down’s syndrome in which the risk is
increased to about 40-fold below age five (H. Inaba, M. Greaves, & C. G. Mullighan, 2013; Paul,
Kantarjian, & Jabbour, 2016).
Even though ALL in Down’s syndrome (trisomy 21) has not been associated with any
cytogenetic abnormality, the over-expression of proto-oncogenes due to the extra 21st
chromosome may account for the leukaemic transformations (Chang et al., 2007; Harris, 2015).
Fanconi’s anaemia, Bloom’s syndrome and ataxia-telangiectasia are associated with increased
chromosomal instability which increases the risk of developing ALL (Chang et al., 2007).
The initiating mutation events (first hit) in childhood ALL occur in utero or early infancy during
which lymphocyte expansion and recombinase activity are climactic whereas the promotional
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mutation (second hit) which occurs afterwards and result in clinical manifestation of ALL is as a
result of exaggerated response of the immune system to exogenous antigens resulting in over-
proliferation of lymphoid cells (Bope & Kellerman, 2011).
2.62 Environmental risk factors
Exposure to certain drugs such as ALLN (N-acetyl-Leu-Leu-Norleu-al ), alkylating agents and
topoisomerase II inhibitors such as etoposide and epipodophyllotoxins have been associated with
increased risk of ALL development (Appelbaum, Forman, Negrin, & Blume, 2011).
Chemicals such as benzene, pesticides, automobile exhaust , parental alcohol consumption and
cigarette smoking have been proposed as etiologic risk factors and are being investigated (Estey,
Faderl, & Kantarjian, 2007).
Also, in utero and post-natal exposure to radiation from atomic bombs (atomic bomb survivors
of Hiroshima and Nagasaki), nuclear explosions and medical treatment has been implicated in
the aetiology of ALL (Cullings, 2014; Weiner & Cairo, 2002). Even though diagnostic X-rays
have not been associated with ALL development, intrauterine foetal exposures have been linked
with increased risk of ALL in childhood (Vokes & Golomb, 2011). Low-frequency
electromagnetic field has not been shown to pose any risk (Weiner & Cairo, 2002).
Even though no specific infectious agent has been implicated in the aetiogenesis of ALL, the
second hit mutations resulting from abnormal immune response to infectious agents in infants
who were not exposed to common infections in the first years of life has been linked with
increased risk of ALL (Hayat, 2013; Pui et al., 2008).
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Increased birth weight and advanced maternal age are have also been suggested as risk factors
but with little evidence (Weiner & Cairo, 2002). Neonatal vitamin K administration and
increased maternal intake of diets rich in nitrites have also been proposed (Pui & Evans, 1998).
Even though an association was found between maternal exposure to second-hand tobacco
smoking during pregnancy as well as childhood exposures and ALL, none was observed for
maternal smoking and paternal smoking during pregnancy (Farioli et al., 2014).
2.7 Pathogenesis
The exact pathogenetic mechanism by which ALL occurs is not known as only a minority of
cases have been directly linked to risk factors. Among the proposed mechanisms include a
pathological exaggerated immune response after exposure of non-immune individuals with
prenatal leukaemia cell lines to common environmental pathogens; influenza viruses have been
implicated in childhood ALL (Greaves, 2018; Kroll, Draper, Stiller, & Murphy, 2006).
Polymorphism and alterations of genes involved in some metabolic and cell-signalling pathways
are believed to play a role in ALL pathogenesis. The polymorphic expression of the GST T1 null
variant of the glutathione S- transferase family of genes has been associated with increased
development of adult ALL (Rollinson et al., 2000) . This most likely results from DNA damage
arising from decreased detoxification of carcinogens and removal of reactive oxygen species
which are key functions of the gene (Singh & Michael, 2009).
The MTR 2756GG variant of the methionine synthase gene (MTR 2756 A>G) involved in the
transfer of single carbon atoms in DNA methylation has been associated with the development of
acute lymphoblastic leukaemia (Lightfoot et al., 2010).
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Genetic alterations resulting in enhanced kinase signalling such as those involving the
PI3K/AKT/mTOR, IL-7R/JAK/STAT and RAS/MAPK pathways have been associated with the
leukaemogenesis of T-ALL (Bongiovanni, Saccomani, & Piovan, 2017).
2.8 Clinical features and laboratory findings
Clinical features include anaemia, thrombocytopenia and neutropenia which is as a result of
bone marrow failure, as well as organ infiltration which manifests as lymphadenopathy,
moderate splenomegaly, hepatomegaly and meningeal syndrome (Ferri, 2015). Mediastinal mass
also occurs in ALL but has been associated with T-lineage rather than B-lineage ALL (Rossi et
al., 1993). Constitutional symptoms such as fever, weight loss and night sweats as well as easy
bruising,, dyspnoea, fatigue and infection emanating from decreased blood cell counts are the
most prevalent symptoms in ALL (Terwilliger & Abdul-Hay, 2017).
In a study conducted in Egypt, lymphadenopathy, splenomegaly and hepatomegaly occurred at
frequencies of 58, 58 and 54% respectively in adult ALL (Elbossaty, 2017). However, a
combined frequency of 40% was obtained in another study of Adult ALL in Netherlands
(Daenen et al., 1998).
BCR-ABL1 positive ALL cases have been linked with higher white cell count and haemoglobin
levels as compared to BCR-ABL1 negative cases. There is a similar incidence of splenomegaly,
lymphadenopathy, mediastinal mass and hepatomegaly (Gleißner et al., 2002; Westbrook et al.,
1992). However, no statistically significant difference was established between haemoglobin and
white blood cell counts of BCR-ABL1 positive and negative cases (Westbrook et al., 1992).
Also, lower platelet counts (P=0.07) and higher peripheral blood blast counts (P=0.02) have
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been linked with the BCR-ABL1 positive ALL compared with the negative cases (Pullarkat et al.,
2008).
2.9 Laboratory Diagnosis
The initial laboratory tests to be carried out include complete blood count and examination of
Romanowsky stained peripheral blood and bone marrow aspirate slides for the presence of
increased numbers of lymphoblasts exceeding 20% of nucleated cells (Theml & Diem, 2011).
The lineage of the lymphoblasts as well as stage of maturation is confirmed by
immunophenotyping usually by flow cytometric detection for the expression of cluster of
differentiation marker antigens. The use of cytochemical stains such as periodic acid Schiff
reagent may be used to different ALL from acute myeloid leukaemia (Sun, 2012).
The next stage of diagnosis involves karyotyping in which chromosomes are examined for gross
genetic changes such as deletions and translocations which include the t(9,22) (Ludwig & Thiel,
2012). The determination of the specific genetic lesions involved in these gross chromosomal
changes such as the BCR-ABL1 gene for t(9,22) may be carried out using molecular cytogenetic
tests such as fluorescent in situ hybridisation or molecular genetic tests such as next generation
sequencing, microarray analysis and polymerase chain reaction-based techniques (Leonard,
2016).
Typical fluorescent in situ hybridisation signal patterns for detection of BCR-ABL1 fusion gene
include 2 fusion signals, 1 red and 1green, whereas one fusion signal is observed in deletions
involving both the BCR and ABL genes; normal signals appear as 2 red and 2 green dots (Jain et
al., 2012).
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2.10 Treatment
The treatment of ALL is achieved with chemotherapy involving mainly 4 stages namely
induction, consolidation, central nervous system prophylaxis and maintenance therapy (S. Faderl
& Kantarjian, 2011). The table below shows the various stages and the drugs that may be used.
Table 2: DRUGS USED IN THE TREATMENT OF ACUTE LYMPHOBLASTIC LEUKAEMIA
Remission Consolidation CNS Maintenance References
Induction Prophylaxis
vincristine Daunorubicin Mercaptopurine (Hoffbrand &
anthracycline Cytarabine Intrathecal Vincristine Moss, 2015).
Vincristine methotrexate methotrexate (Florin, Ludwig,
asparaginase and Etoposide Aronson, &
cyclophosphamide mitoxantrone Werner, 2011)
(optional)
The drugs in the table above are used in various combinations and cycles with age, gender and
leucocyte counts at the onset of the disease being key determinants of treatment modalities.
Treatment may last between 2 and 3 years and the intensity of the regimen, duration and
whether or not stem cell transplantation will be carried out depends on the specific subtype and
the risk of relapse (Kaye` & Kaye, 2004). High intensity regimen are used for pediatric and
young adults as well as high risk factors such as presenting white blood cell counts exceeding 50
× 109/uL whereas low doses are used for older adults (Rabin & Poplack, 2011).
The addition of tyrosine kinase inhibitors such as imatinib to treatment protocols in BCR-ABL1
positive ALL has been associated with increased overall and disease-free survival rates (Bassan
et al., 2010; Schultz et al., 2009).
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2.11 Prognosis
The prognosis of ALL is poorer in adults than children and adolescents with 5-year survival rates
of 40% and 90% respectively (Hunger et al., 2012; Pulte et al., 2014)
Even though BCR-ABL1 positive and negative cases of ALL have been shown to have similar
remission rates, more early relapses have been associated with BCR-ABL1 positive ALL
(Westbrook et al., 1992). Secondly, in a Cancer and Leukaemia Group B study in the United
States of America, the median survival duration in BCR-ABL1 positive and negative ALL was
11.2 and 21.8 months respectively but was statistically insignificant (p-value 0.26) (Westbrook et
al., 1992). In a multicenter study conducted in Germany, the 3-year survival probability in BCR-
ABL1 positive versus negative ALL was 0.19 (+/-0.04SE) and 0.55(+/-0.04SE) respectively (p-
0.0001) (Gleißner et al., 2002). Also, the BCR-ABL1 positive ALL has been significantly
associated with decreased overall and 5-year event-free survival compared to negative cases (A.
V. Moorman et al., 2007). However, in an Italian based study, the expression of the PAX5
wild-type without IKZF1 deletion in BCR-ABL1 positive ALL has been associated with good
prognosis (prolonged disease-free survival and low incidence of relapse) compared with cases
expressing normal PAX5 and 1KZF1 deletion (Ilaria Iacobucci et al., 2009).
In a study conducted in Nigeria, no association was found between BCR-ABL1 positivity and
white cell count (p = 0.416) ) (Ajuba et al., 2016) even though higher WBC count is associated
with ALL and considered a poor prognostic factor (Advani & Lazarus, 2010; S. Faderl &
Kantarjian, 2011) . In a south African based study of a heterogenous ethnic pediatric population,
no significant statistical association was found between 5-year event free survival rate and
clinical features (hepatomegaly, splenomegaly and mediastinal mass) as well as
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immunophenotype (p = 0.9, 0.38, 0.41 and 0.87 respectively) (Wessels, Hesseling, Buurman,
Oud, & Nel, 1997).
2.12 Monitoring
The detection of BCR-ABL1 rearrangement has been proven to provide significant guidance in
the diagnosis, prognosis, monitoring of response to treatment and drug resistance in acute
lymphoblastic leukaemia (Jiang et al., 2016). The detection of BCR-ABL1 transcripts by the
polymerase chain reaction technique has been proven to be useful in the detection of minimal
residual disease in Philadelphia-positive ALL as it aids in the monitoring of the effect of
treatment and detection of relapse (Miyamura et al., 1992).
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CHAPTER 3
METHODOLOGY
3.1 Study design
This is a retrospective cross-sectional study in which methanol-fixed archived bone marrow
slides of patients diagnosed with ALL were used.
3.2 Study site
The study was carried out at the Department of Haematology, Korle Bu Teaching Hospital. The
hospital is the third largest hospital in Africa and the leading referral centre in Ghana
(https://kbth.gov.gh/korle-bu-trust-fund.html, 2016).The Department of Haematology provides
laboratory and clinical services for patients with various haematological disorders from all over
Ghana as well as neighbouring West African countries. About 4800 patients are seen at the
department each year. In the hospital, an average 28 cases of ALL are diagnosed each year with
12 of them being adults.
The bench work of the project was carried out by the investigator at the Queen’s Laboratory for
Molecular Pathology at Queen’s University in Canada where training in the fluorescent-in situ
hybridisation technique was acquired and the bench work carried out within a three-month
period. This trip was necessitated by the fact that the FISH procedure could hardly be carried out
in Ghana due to unavailability of necessary equipment and technical expertise.
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3.3 Study Population
The population consists of diagnosed cases of ALL at the Department of Haematology, KBTH
from January 2013 to MAY 2017.
3.4 Inclusion criteria
1. Study cases must be patients ≥15 years old.
2. Cases should have been morphologically diagnosed as ALL.
3. The unstained bone marrow aspirate slides of cases should be available.
3.5 Exclusion criteria
1. Cases whose archived bone marrow aspirate slides and/or laboratory report at diagnosis
were not available were excluded.
2. Cases with incomplete data from folders were excluded.
3.6 Sample size determination
The sample size was determined using the Cochran’s sample size formula which is given by the
following equation:
n = Z 2p(1 – p)
d2
Where
n = minimum sample size
Z is Z score (Z=1.96 for confidence level of 95%)
Prevalence of BCR-ABL1 fusion gene in ALL = 11 – 29%....... (Mrozek et al., 2009)
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Using the minimum value of the prevalence range ⇒ p = expected proportion= 11%
d = accepted margin of error = 5%
1.96×1.96×0.11(1 – 0.11)
Therefore n = = 150.43
0.05×0.05
But the study is retrospective cross-sectional (January 2013 to December 2015) with a finite
population made up of a total of 37 cases.
This finite population is corrected using the formula below:
n’= n ×N)/[n +(N – 1)] ……………………………….(Naing, Winn, & Rusli, 2006)
where n’= corrected sample size for a finite population
N = finite population size = 37
n = sample size without taking the finite population correction into consideration = 151
∴ n’ = 151 × 35/ [151 + (37 – 1)] = 28.6 ≈ 30.
However, only 25 of the 37 cases seen in the study period had archived bone marrow aspirate
slides available. Therefore, even though 30 is obtained from the sample size calculation above,
the sample size used for the study was 25. Hence 25 bone marrow aspirate slides were selected
for the study.
3.7 Selection of samples and data collection
Unstained bone marrow aspirate slides of study cases (adults ALL) were retrieved from storage
using laboratory numbers obtained from the Haematology laboratory log book. The storage
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comprised of all bone marrow aspirate slides of all haematological disorders prepared from
January 2013 to May 2017.
The data abstraction form shown on appendix A was used to obtain the following information
from the patients’ medical records:
i) Clinical features present at presentation (i.e. hepatomegaly, splenomegaly,
lymphadenopathy and/or presence of mediastinal mass)
ii) Laboratory variables were obtained from FBC which was performed at the time bone
marrow aspirate was taken for diagnosis (i.e. haemoglobin concentration, white cell and
platelet counts). The blast percentages were obtained from bone marrow aspirate smears.
3.8 Materials and Methods
The fluorescence in-situ hybridisation (FISH) technique was used for the detection of the BCR-
ABL1 fusion gene in the unstained archived bone marrow aspirate slides.
Equipment and apparatus used include the following:
1. ThermoBrite Denaturation/Hybridisation System (Abbot Molecular)
2. Fluorescent Microscope (OLYMPUS BX61)
3. Computer with imaging software - GENASIS FISHView and Case Data Manager (CDM)
(from Applied Spectral Imaging)
4. Phase Contrast Microscope (Zeiss Axio Lab. A1)
5. Water bath
6. Microcentrifuge
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7. Vortex Mixer
8. Digital Thermometer
9. Micropipettes
The reagents used are listed in appendix C.
3.9 Procedure
The fluorescent in-situ hybridisation technique was performed by the investigator using the
protocol of the Queens Laboratory for Molecular Pathology (Queens University, Canada):
procedure as described below:
Preparation of Positive and Negative Control Smears
A positive control smear was prepared from a cell culture of a commercially prepared BCR-
ABL1 positive cell line [K-562 (ATCC ® CCL -243)]. A peripheral blood smear prepared from a
BCR-ABL1 negative anonymised subject which was provided by the Queens Laboratory for
Molecular Pathology was used as a negative control slide. Both slides were fixed in methanol for
3 minutes.
The FISH procedure was carried out on study cases and control slides as per the protocol of the
Queens laboratory for Molecular pathology which is as follows:
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DNA Unmasking
The slides were immersed in methanol for 1 minute followed by incubation in 2× SSC at room
temperature for 5 minutes.
The slides were then incubated in 0.2N HCl for 5minutes. 500ul of pepsin was added to the
prewarmed 49.5ml of 0.01N HCl in water bath at 37oC. The resulting mixture was mixed well.
The slides were taken from the 0.2N HCl solution and excess liquid remove with paper towel
and immediately immersed into the pepsin/HCl solution incubating at 37oC for 7 to 15 minutes.
The Slides were washed in ddH2O for 10minutes followed by fixation in 1% formaldehyde for 5
minutes, immersion in 1% phosphate buffered saline for 5 minutes and sequential dehydration in
70%, 85% and 100% ethanol for 2 minutes in each solution.
The slides were observed under phase contrast microscope for digestion progress (Unfinished
digestion is signified by the appearance of white shiny cells with undefined nuclei whereas cells
with clear blue nuclei shows complete digestion). If digestion is not finished, the slides were re-
immersed in pepsin/HCl solution for a longer period and the subsequent steps followed until the
phase contrast microscope shows a finished digestion.
Denaturation and Hybridization
The slides were air dried completely prior to the addition of the probe in the hybridisation steps
which is described in the following paragraphs:
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The ThermoBrite Denaturation/Hybridisation system was turned on and the program set for the
following parameters:
Denaturation time: 2 mins; Denaturation temperature: 73oC ;
Hybridisation Time: 24 hrs; Hybridisation temperature: 37oC .
The DNA probe (Vysis LSI BCR/ABL DC/DF translocation probe), Vysis LSI/WCP
hybridisation buffer and the purified water were removed from storage and the reagents allowed
to reach room temperature. The BCR/ABL DNA probe and the hybridisation buffer were
vortexed for 2 to 3 seconds followed by centrifugation for 2 to 3 seconds.
Seven microlitres (7uL) of the hybridisation buffer, 2uL of purified water and 1uL of the
BCR/ABL DNA probe were transferred into a microcentrifuge. The mixture was vortexed and
centrifuged for 2 to 3 seconds each.
A micropipette was used to apply 10uL of the probe mixture to the target area of each slide. A
cover slip was immediately applied without introducing bubbles. The coverslip was sealed using
a syringe filled with rubber cement.
Two ThermoBrite humidity cards saturated with distilled water were inserted into the slot
positions in the unit lid of the ThermoBrite Hybridisation/Denaturation system.
The slides were placed on the heating surface of the ThermoBrite Hybridisation/Denaturation
system when prompted and was ensured that, the frosted edge of the slide hanged over the
heating surface, lay flat and properly aligned into the marked positions in the slide locator. The
ThermoBrite lid was closed and the program was started for denaturation and hybridisation to
occur overnight.
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Post-Hybridisation Wash
The post-hybridisation wash was carried out according to the following procedure:
The room was darkened and the coverslip removed from the slide by peeling off rubber cement.
The slides were incubated in 2× SSC/0.3% IgePal solution (180uL IgePal in 60ml 2× SSC) at
73oC for 2 minutes. The temperature was increased by 0.5oC for each slide if the slides were
more than one. The slides were washed in 2× SSC for 5minutes and air-dried in upright position
under foil cap.
Counterstaining
Counterstaining was carried out by the application of 10uL DAPI to the middle of each slide.
Coverslip was applied and air bubbles pushed out. They were stored in the dark at -20oC until
fluorescent microscopy was carried out in the following step.
Fluorescent Microscopy
The fluorescent microscopy room was darkened and immersion oil added to the slides. They
were then observed under the fluorescent microscope using the spectrum orange, spectrum green
and the dual filter which allows the visualisation of ABL1, BCR and BCR/ABL1 gene
respectively. A total of 100 interphase nuclei were scored for each slide. Images of the slides
were captured using the imaging software GENASIS FISH View and processed using Case Data
Manger (CDM). Representative images have been shown in section 4.2.
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3.10 Data Handling
Study cases were assigned unique identification numbers. It is these identification numbers that
were used to label the respective bone marrow aspirate slides and also for subsequent data
processing.
The data was stored on a password protected computer. The names of subjects were not used in
the data but were however kept in a different file. Only the Investigator and his supervisors had
access to data obtained from the study.
3.11 Statistical analysis
The data was entered into Microsoft Excel and exported to Statistical Package for the Social
Sciences (SPSS) for analysis. Data was expressed using summary and descriptive statistics such
as frequency, percentages and median as appropriate and presented in tabular form. Chi Square,
Fisher exact test and non-parametric test (Mann-Whitney U-test) were used to assess the
association between categorical factors.
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CHAPTER 4
RESULTS
A total of 25 bone marrow aspirate slides were selected for the study. However, FISH was
successfully carried out on 17 as 8 slides were not suitable to be used for the test. Four of the slides
upon examination under the microscope had structures suspected to be fungal hyphae covering the
entire slide thus they could not be used for analysis. The remainder could not withstand experiment
procedures as the glass slides used to prepare the bone marrow aspirate smears were not
electrostatically charged type as such the cells were lost during the experimental procedure.
Therefore, only slides from 17 patients were available for analysis as shown in figure 1.
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Retrieval of Marrow Aspirate Slides of Haematological Cases
from Storage (≈ 1600 patients’s slides)
≈
Selection of Adult ALL Slides (52 SLIDES). Study population
includes only adult ALL cases. Pediatrics ALL and all cases other
than ALL were not included. .
Selection of Adult ALL Slides with Folders and Laboratory Report
Available (25 Slides). Post-treatment ALL slides and slides with
n o f olders and laboratory report available were not included. .
Selection of Adult ALL Slides Based on Quality for FISH
A n alysis(17 Slides). Slides with no observable haemopoietic
cells prior to FISH experiment and slides in which cells were lost
during experiment were rejected.
Figure 1: FLOW DIAGRAM FOR THE SELECTION OF BONE MARROW
ASPIRATE SLIDES FOR THE STUDY
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4.1 Fluorescence In Situ Hybridization results and frequency of the BCR-ABL1 gene in
samples.
The table below shows the results of detection of the presence of BCR-ABL1 fusion gene on
unstained bone marrow aspirate slides of study cases by fluorescent in situ hybridization.
Table 3: FISH RESULTS FOR BCR-ABL1 FUSION GENE
BCR-ABL1 gene
results Frequency Percent
Negative 12 70.6
Positive 5 29.4
Total 17 100.0
From the table above, it can be seen that, 29.4% (5 cases) were positive for the BCR-ABL1 gene.
Therefore, the frequency of the BCR-ABL1 fusion gene for the adult Acute Lymphoblastic
Leukaemia samples tested in this study was 29.4%.
The cut-off point for positivity was 1% and 15% for double fusion and single fusion respectively.
Of the 5 positive cases, 4 were double fusion and one had single fusion.
The percentage scores for positive cases of the gene were 46%, 37%, 9% and 8% for double
fusion and 20% for single fusion.
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4.2 Selected FISH Images
The figure below shows a fluorescent photomicrograph of the negative control slide. No fusion
signals are present.
Figure 2: Negative Control
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The figure below shows the fluorescent photomicrograph of a study participant with no fusion
signals present (negative case)
Figure 3: BCR-ABL1 fusion Negative Case
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The figure below shows the fluorescent photomicrograph the BCR-ABL1 positive control smear.
Double fusion signals which appear yellow are seen in the lower left and topmost nuclei.
Figure 4: Positive Control
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The figure below shows a fluorescent photomicrograph of a BCR-ABL1 positive case. Double
fusion signals (either yellow dots or orange and green dots in juxtaposition) are seen in the two
nuclei in the middle.
Figure 5:BCR-ABL1 fusion Positive Case
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In the figure below, a single fusion signal (yellow) is seen in the larger cell.
Figure 6: BCR-ABL1 fusion case showing a single fusion signal
KEY TO INTERPRETATION OF IMAGES
BCR-GENE – Green signals (dots)
ABL GENE – Orange signals (dots)
BCR-ABL1 FUSION GENE – Orange and green signals in juxtaposition or yellow signal are
seen for BCR-ABL1 positive cases. Double fusion cases have 2 signals whereas 1 signal is seen
single fusion cases). BCR-ABL negative cases show separated green and orange signals but no
fusion signals).
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4.3 Demographics
Table 4: BCR-ABL1 FUSION GENE AND SEX
BCR-ABL1 P-value
RESULTS (Fisher
exact
Negative Positive Total test)
SEX female Frequency 3 1 4
% within
75.0% 25.0% 100.0%
SEX 0.67
male Frequency 9 4 13
% within
69.2% 30.8% 100.0%
SEX
Total Frequency 12 5 17
% within
70.6% 29.4% 100.0%
SEX
In the study 76.5% (13) of the samples were drawn from males and 23.5% (4) were from
females. From the table above, the proportion of BCR-ABL1 positive cases was lower compared
to BCR-ABL1 negative cases (25.0% versus 75.0% within the female category and 30.8% versus
69.2% within the male category). From the Chi-Square test, there is a likelihood of no significant
association between BCR-ABL1 positivity and sex of study cases. (p-value = 0.67).
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4.4 Age
Participants in the study were categorized into two groups; adolescent and young adult group
(AYA group) and older adult group with the age ranges from 15 to 39 years and 40 years and
above respectively based on the guidelines of the National Comprehensive Cancer Network
(NCCN), U.S.A. The corresponding mean ages were 22.2 (+/-7.7) years and 53.8 (+/-10.0) years
respectively.
The ages of participants ranged from 15 years to 67 years (mean = 31.5 +/- 16.9 years). Table 5
shows the proportion of each group.
Table 5: BCR-ABL1 FUSION GENE AND AGE
BCR-ABL1 P-value
RESULTS (Fisher
exact
Negative Positive Total test)
Age AYA Frequency 7 5 12
Group % within
58.3% 41.7% 100.0%
AYA group 0.245
Older Frequency 5 0 5
Adults % within
Older Adult 100.0% 0.0% 100.0%
group
Total Frequency 12 5 17
% within both
AYA Older 70.6% 29.4% 100.0%
Adult group.
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In the table above, BCR-ABL1 positive cases constitute a lower proportion than BCR-ABL1
negative cases within each age group (41.7% versus 58.3% in the AYA group and 0.0% versus
100.0% in the Older Adult group. The p-value is = 0.245, hence there is no significant
association between the BCR-ABL1 gene positivity and age groups (adolescent and young adult
group and older adults. There
were 12 cases (70.6%) in the AYA group and 5 cases (29.4%) in the Older Adult group.
4.5 Descriptive and Inferential Statistics of Clinical features and BCR-ABL1 gene
Table 6 show the frequencies of clinical features and test of association with the BCR-ABL1
gene. Cases which showed the presence of a clinical features are indicated by ‘Yes’ and ‘No’ if
otherwise.
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Table 6: BCR-ABL1 FUSION GENE AND CLINICAL FEATURES
P-value
Clinical Feature BCR-ABL1 Total (Fisher
RESULTS exact test)
Negative Positive
No 6 4 10
LYMPHADENOPATHY 60% 40% 100.0%
Yes 6 1 7 0.338
85.7% 14.3% 100.0%
No 9 4 13
SPLENOMEGALY 69.2% 30.8% 100.0%
Yes 3 1 4
75.0% 25.0% 100.0% 0.67
No 8 4 12
HEPATOMEGALY 66.7% 33.3% 100.0%
Yes 4 1 5 0.528
80.0% 20.0% 100.0%
Total 12 5 17
70.6% 29.4% 100.0%
From the Chi-Square analysis above, there is a likelihood of no significant association between
BCR-ABL1 gene positivity and lymphadenopathy, splenomegaly and hepatomegaly of study
cases. (P-values = > 0.05).
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4.6 Descriptive and Inferential Statistics of Haematological parameters
Table 7: BCR-ABL1 FUSION GENE AND HAEMATOLOGICAL PARAMETERS
P-value
BCR-ABL1 MW-U
RESULTS N Mean Std. Deviation test
WBC Count Negative 12 73.53×109/L 138.87×109/L 0.879
Positive 5 36.83×109/L 39.21×109/L
Hb Concentration Negative 12 6.63g/dL 1.82g/dL 0.506
Positive 5 7.26g/dL 1.34g/dL
BLAST Negative 11 82.18% 28.16 0.851
PERCENTAGE
Positive 4 73.00% 29.72
PLATELET Count Negative 12 74.33×109/L 59.86×109/L 0.721
Positive 5 54.60×109/L 37.75×109/L
From the table above, From the table above, the mean haemoglobin concentration for BCR-ABL1
positive cases was higher than that for the negative cases, whereas the mean white blood cell
count, bone marrow blast percentages and platelet counts were lower in BCR-ABL1 positive
cases than in the negative cases. However, the Mann-Whitney test p-values are >0.05, hence no
significant association exist between BCR-ABL1 gene positivity and these parameters.
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4.7 Descriptive and Inferential Statistics of BCR-ABL1 gene and Clinical Outcome
CLINICAL OUTCOME
Table 8: BCR-ABL1 FUSION GENE AND CLINICAL OUTCOME
FISH RESULTS
Negative Positive Total
CLINICAL Mortality Frequency 3 1 4
OUTCOME
% within Mortality 75.0% 25.0% 100.0%
Default Frequency 2 1 3
% within Default 66.7% 33.3% 100.0%
Undetermine Frequency 7 3 10
d
% within Undetermined 70.0% 30.0% 100.0%
Total Frequency 12 5 17
% within CLINICAL
70.6% 29.4% 100.0%
OUTCOME
On the basis of inability to determine the clinical outcome 13 out of 17 study samples
(undertermined =10, default = 3), no inferential assumption will be draw for clinical outcome.
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4.8 Features of the BCR-ABL1 Positive Cases
The table below features of the BCR-ABL1 positive cases in this study
Table 9: FEATURES OF BCR-ABL1 POSITIVE CASES
CASE 1 CASE 2 CASE 3 CASE 4 CASE 5
BCR-ABL1 results Positive Positive Positive Positive Positive
Age 16 24 36 16 15
Sex Female Male Male Male Male
Blast percentage 36 95 - 66 99
WBC count 1.60 88.4 67.04 24.76 2.33
Platelet count 12 109 27 67 58
Haemoglobin 5.8 8.5 8.5 7.6 5.9
concentration
Lymphadenopathy No No No No Yes
Splenomegaly No No No Yes No
Hepatomegaly No No No Yes No
Treatment Undetermined Undetermined Defaulted Undetermined Death
outcome
Fusion pattern Double Double double double single
Percentage of 37 8 46 9 20
fusion signals
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CHAPTER 5
DISCUSSION AND CONCLUSION
The results of this study show that the BCR-ABL1 gene fusion is present in nearly one-third of
adult cases of ALL diagnosed in the Haematology Department of the Korle Bu Teaching
Hospital which were tested. Additionally, the findings suggested no statistically significant
association between positivity for this chimeric fusion gene and clinical features, haematological
parameters.
5.1 Frequency
The findings of this study show that, the BCR-ABL1 fusion gene is present in nearly one third
(29.4%) of adults diagnosed with acute lymphoblastic leukaemia at the Korle Bu Teaching
Hospital which were tested.
The frequency of 29.4% in this study is consistent with the prevalence rates 28.3% in the study
conducted by Chopra et al. in India and the 11-29% Mrozek et al. in a review of adult ALL
studies in USA, UK and France. However, it is higher than the 12.5% value obtained by Ajuba et
al. in Nigeria. The wide difference in frequency between this study and that of Ajuba et. al (both
conducted in Sub-Saharan Africa) could arise from the fact that the cases considered in this study
were adults whereas the subjects for Ajuba et al. were both children and adults. The frequency
of the BCR-ABL gene in ALL is age dependent being higher in adults than children as shown by
Mrozek et al. The frequency in this study is in contrast to the study in Saudi Arabia in which
none of the 16 adult ALL cases was positive for the BCR-ABL fusion gene El-Sissy ET (El-
Sissy et al., 2006). Ethnic difference may possibly account for the disparities as Ariffin et al
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showed variation in frequency between ethnic groups in their study in Singapore involving
Indians, Malays and Chinese.
5.2 Age and Gender
There was no significant association between BCR-ABL1 positivity and the age groups of cases
tested in this study (AYA and older adult). However, all the BCR-ABL1 positive cases belonged
to the adolescent and young adult (AYA) group. This contrast the report of increased frequency
of BCR-ABL1 with increasing age reaching 42% to 44% beyond age 44 in Germany (Thomas
Burmeister et al., 2008) . The exact reasons for the occurrence of the fusion gene in only the
AYA group is not clear. However, the decreased representation of the older adult group in this
study cannot be ruled out. Ghana has a young population with 58.5% aged 0 to 24 years and
only 11% beyond age 50 years. This contrasts the population structure of advanced countries
such as U.S.A, Germany and Japan where the population is relatively old with respective
proportions of 33.0%, 24.7% and 22.5% in the 0 to 24 years age group whereas 34.2%, 40.3%
and 45% are beyond age 50 years(Nations, 2017). The lower proportions old age population in
Ghana which possibly reflected in this study can be attributed to the fact that there is relatively
low life expectancy at birth (61.3 years) in Ghana compared to that of the U.S.A, Germany and
Japan which is 78.9, 80.8 and 83.6 years respectively (United-Nations., 2017).
Similarly, this study suggests no significant association between BCR-ABL1 positivity and sex
although 4 out of 5 cases of the BCR-ABL1 positive cases were males. This may be explained by
the low proportion of females (23.5%) in this study.
These findings of no significant association between BCR-ABL1 positivity and age as well as
gender in study cases confirms the study of Hamid and Bokharaei in Iran.
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5.3 Clinical Features
Secondly, the findings of this study suggest no significant association between BCR-ABL1
positivity and clinical features (lymphadenopathy, splenomegaly and, hepatomegaly) of study
cases.
Similarly, Westbrook et al. in a Cancer and Leukaemia Group B study in USA found no
statistically significant association between BCR-ABL1 positivity and these clinical features.
Studies involving clinical features and BCR-ABL1 positive ALL from Africa (especially West
Africa) are virtually not available.
Of the clinical features considered in this study, Lymphadenopathy was present 41.2% of all the
cases in this study of which 14.3% were BCR-ABL1 positive whereas 23.5% of the cases studied
showed splenomegaly of which one quarter was BCR-ABL1 positive. While hepatomegaly
evident in 35.7% of study cases with exactly one fifth showing BCR-ABL1 positivity, no incident
of mediastinal mass was reported in this study. The frequencies of the organomegalies are lower
than what has been reported in the study by Elbossaty et al. in Egypt in which
lymphadenopathy, splenomegaly and hepatomegaly occurred in 58, 58 and 54% of adult ALL
patients. However, it is consistent with the findings in Netherlands by Daenen et al. in which
organomegalies (lymphadenopathy, splenomegaly and hepatomegaly) were less prevalent with a
combined frequency of 40% in adult ALL.
5.4 Haematological Parameters
The mean white blood cell count, bone marrow blast percentages and platelet counts were lower
in BCR-ABL1 positive cases than negative (36.83, 73.00 and 54.60 versus 73.53, 82.18 and 74.33
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respectively). Contrastingly, the mean haemoglobin concentration for BCR-ABL1 positive cases
was higher than in negative cases (7.26 versus 6.62 respectively). However, no significant
association was established between these mean values of these haematological parameters and
BCR-ABL1 positivity (P = 0.879, 0.721, 0.506 and 0.851 for WBC counts, platelets counts,
haemoglobin concentration and blast percentage respectively).
The results of this study confirm the findings of Ajuba et al. in Nigeria in which no statistically
significant association was observed between BCR-ABL1 positivity and white blood cell count,
platelet count and haemoglobin concentration (P = 0.187, 0.658 and 0.303 respectively).
The findings of no statistically significant difference white blood cell count and haemoglobin
concentration in this study is in contrast to the findings in the study by Gleiβner et al. in
Germany in which BCR-ABL1 positive cases showed statistically significantly higher WBC
count and haemoglobin concentration than BCR-ABL1 negative cases. However, this study found
no statistically significant difference in platelet counts and blast percentage in BCR-ABL1
positive and negative cases as was reported by Gleiβner et al.
All the cases in this study had severe to moderate anaemia with haemoglobin concentration
ranging from 3.7 to 8.7g/dL. Also, with the exception of one, all cases in the study
(approximately 94%) showed thrombocytopenia. These observed frequencies and degree of
anaemia and thrombocytopenia is higher compared to developed countries based on studies
conducted in Denmark and Italy (Chiaretti et al., 2013; Toft, Schmiegelow, Klausen, &
Birgens, 2012). This may result from delayed presentation of the patients in this study to the
Haematology clinic and hence late diagnosis and treatment thus allowing leukaemia cells
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sufficient time to suppress normal erythropoiesis. This challenge is common in developing
countries such as Ghana due to inadequate number of Haematology centers.
5.5 Clinical Outcome
The clinical outcome of most of the cases which were studied could not be determined. This
arose from the fact that a total of 13 (76.5%) of study cases who constituted the default and
undetermined categories ceased clinic attendance based on financial constraint or unknown
reasons respectively.
5.6 Limitations of the Study
Inadequate filing system (for slides and folders), unavailability of corresponding clinical and
laboratory data from folders and laboratory and reduced number of good quality bone marrow
aspirate slides prevented one from obtaining the calculated sample size of 30; seventeen cases
were thus studied.
Secondly, the overall survival of majority study participants could not be determined due to
truncated clinic attendance.
5.7 Conclusion
With a frequency of 29.4%, the BCR-ABL1 fusion gene is an important molecular genetic lesion
in adult ALL cases in this study. There was no significant association between BCR-ABL1
positivity and clinical features as well as haematological parameters of cases which were studied.
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As no information of the BCR-ABL1 gene fusion in acute lymphoblastic leukaemia is available in
Ghana due to the fact that no research has been carried out on it, this study thus provides an
initial information on its presence, and association with clinical features and treatment outcome
for stakeholders involved in the diagnosis and treatment of acute lymphoblastic leukaemia to
make an informed decision with regard to the need for a bigger study.
The BCR-ABL1 fusion gene is thus expressed in adult acute lymphoblastic leukaemia cases seen
in the country and has no significant association with the clinical features and haematological
parameters of the disease the cases which were studied. A larger study will be needed to mak a
determination concerning the modification of treatment regimen for adult BCR-ABL1 positive
ALL.
5.8 Recommendation
The investigator of this study suggests a larger multicenter prospective study in Ghana on BCR-
ABL1 positive acute lymphoblastic leukaemia involving the characterization of the associated
molecular signatures such as the IKZF1 and the PAX genes so as to throw more light the
expression of the disease in Ghanaian patients.
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APPENDIX A
DATA ABSTRACTION FORM (Pages 21-22)
Personal Information
PATIENT UNIQUE ID NUMBER:
AGE: SEX: DATE OF
DIAGNOSIS:
Clinical Feature
“A” will be circled for each of the clinical sign numbered 1-4 below if they are present and “B”
if not indicated. Any others sign must be written in the space provide in front of number 5 below.
1. Lymphadenopathy - A. YES B. NO
2. Mediastinal mass - A. YES B. NO
3. Splenomegaly - A. YES B. NO
4. Hepatomegaly - A. YES B. NO
5. Other signs - …………………………………………………………………
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Clinical Outcome
Date of diagnosis (A):
Last date seen at clinic (B):
Outcome of treatment: A. remission B. death C. default D. failure
E. others: ………………………………………
Survival duration = duration between A and B=
Haematological Parameters
PERIPHERAL BLOOD:
White cell count -
Platelet count -
Haemoglobin concentration –
BONE MARROW:
Blast percentage:
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FISH results for BCR-ABL1 fusion gene:
“A “or “B “will be circled below if bone marrow aspirate slide is BCR-ABL1 positive or
negative respectively.
A. POSITIVE B. NEGATIVE
Percentage score (If FISH results above is positive) - ..................%
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APPENDIX B
TABLES OF RESULTS OF WBC COUNTS, PLATELET COUNTS, HAEMOGLOBIN
CONCENTRATION AND BLAST PERCENTAGES
Table 1: WBC RESULTS
WBC Valid Cumulative
(×109/L) Frequency Percent Percent Percent
Valid .95 1 5.9 5.9 5.9
1.60 1 5.9 5.9 11.8
1.61 1 5.9 5.9 17.6
2.33 1 5.9 5.9 23.5
6.41 2 11.8 11.8 35.3
7.20 1 5.9 5.9 41.2
9.60 1 5.9 5.9 47.1
16.43 1 5.9 5.9 52.9
24.76 1 5.9 5.9 58.8
38.58 1 5.9 5.9 64.7
42.50 1 5.9 5.9 70.6
67.04 1 5.9 5.9 76.5
88.40 1 5.9 5.9 82.4
106.00 1 5.9 5.9 88.2
160.70 1 5.9 5.9 94.1
485.91 1 5.9 5.9 100.0
Total 17 100.0 100.0
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TABLE 2: PLATELET COUNTS
Valid Cumulative
PLT (×109/L) Frequency Percent Percent Percent
Valid 1.0 1 5.9 5.9 5.9
8.0 1 5.9 5.9 11.8
9.0 1 5.9 5.9 17.6
12.0 1 5.9 5.9 23.5
27.0 1 5.9 5.9 29.4
29.0 1 5.9 5.9 35.3
49.0 1 5.9 5.9 41.2
58.0 1 5.9 5.9 47.1
64.0 1 5.9 5.9 52.9
65.0 1 5.9 5.9 58.8
67.0 1 5.9 5.9 64.7
96.0 1 5.9 5.9 70.6
109.0 1 5.9 5.9 76.5
122.0 1 5.9 5.9 82.4
125.0 1 5.9 5.9 88.2
132.0 1 5.9 5.9 94.1
192.0 1 5.9 5.9 100.0
Total 17 100.0 100.0
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Table 3: HAEMOGLOBIN CONCENTRATIONS
Valid Cumulative
Hb(g/dL) Frequency Percent Percent Percent
Valid 3.7 1 5.9 5.9 5.9
3.8 1 5.9 5.9 11.8
4.5 1 5.9 5.9 17.6
5.7 1 5.9 5.9 23.5
5.8 1 5.9 5.9 29.4
5.9 1 5.9 5.9 35.3
6.0 1 5.9 5.9 41.2
7.2 1 5.9 5.9 47.1
7.6 2 11.8 11.8 58.8
7.9 1 5.9 5.9 64.7
8.0 2 11.8 11.8 76.5
8.4 1 5.9 5.9 82.4
8.5 2 11.8 11.8 94.1
8.7 1 5.9 5.9 100.0
Total 17 100.0 100.0
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TABLE 4: BLAST PERCENTAGE
Valid Cumulative
Frequency Percent Percent Percent
Valid 1.0 1 5.9 6.7 6.7
36.0 1 5.9 6.7 13.3
62.0 1 5.9 6.7 20.0
75.0 1 5.9 6.7 26.7
79.0 1 5.9 6.7 33.3
80.0 1 5.9 6.7 40.0
93.0 1 5.9 6.7 46.7
94.0 1 5.9 6.7 53.3
95.0 3 17.6 20.0 73.3
97.0 2 11.8 13.3 86.7
98.0 1 5.9 6.7 93.3
99.0 1 5.9 6.7 100.0
Total 15 88.2 100.0
Missing System 2 11.8
Total 17 100.0
N.B. The blast percentage for two participants were not available.
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APPENDIX C
The reagents for FISH procedure are listed below:
1. Vysis LSI BCR/ABL, dual colour, dual fusion translocation probe set which comprised:
a. Vysis LSI BCR/ABL, dual colour, dual fusion translocation probe
b. Vysis LSI /WCP hybridisation buffer
2. DAPI counterstain
3. Methanol
4. Ethanol
5. 2× Saline – Sodium Citrate (SSC) for molecular biology
6. 1×Phosphate buffered saline
7. 1% Formaldehyde
8. IgePal (Octyl phenyl-polyethylene glycol) for molecular biology
9. Rubber cement (ELMER’S)
10. 0.01N HCL
11. 0.2N HCL
12. Pepsin
13. Double distilled water (ddH2O)
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APPENDIX D
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