METHODS: Eighty-two children with acute leukaemia were examined for ocular lesions within two days of diagnosis before starting chemotherapy. The detailed ocular examination of both eyes was carried out by the ophthalmologist irrespective of the presence or absence of eye symptoms in all cases.
RESULTS: Only 3 out of 82 children presented with eye symptoms (3.6%). However, ocular changes were found in 14 children (17%); ten with lymphoblastic and four with myeloid leukaemia. The ocular lesions observed were proptosis, intraretinal haemorrhages, white centered haemorrhages, cotton wool spots, macular haemorrhage, subhyaloid haemorrhage, vitreous haemorrhage, papilloedema, cortical blindness, sixth nerve palsy, and exudative retinal detachment with choroidal infiltration.
CONCLUSION: In view of the high prevalence of asymptomatic ocular lesions in childhood acute leukaemia, routine ophthalmic examination should be included as a part of evaluation at the time of diagnosis.
METHODS: A total of 127 patients with acute leukaemia (myeloid and lymphoid), of both genders, aged between 13 and 77 years, were examined by an ophthalmologist for retinal changes using direct/indirect ophthalmoscopy within 2 days of diagnosis before starting chemotherapy.
RESULTS: Retinal lesions were seen in 62 cases (49%), with intraretinal haemorrhages being the most common lesion (42%). A high white blood cell count was significantly associated with intraretinal haemorrhages (p = 0.04) and white-centred haemorrhages (p = 0.001), while a low platelet count was significantly associated with intraretinal haemorrhages (p = 0.03) in acute myeloid leukaemia patients.
CONCLUSIONS: A high white blood cell count may be considered as important as a low platelet count in the pathogenesis of leukaemic retinopathy.
MATERIALS AND METHODS: Two leukemic cell lines, MV4-11 (acute myeloid leukemia) and K562 (chronic myeloid leukemia), were studied. IC50 concentrations were determined and apoptosis and cell cycle regulation were studied by flow cytometric analysis. The expression of apoptosis and cell-cycle related regulatory proteins was assessed by Western blotting.
RESULTS: P sacharosa inhibited growth of MV4-11 and K562 cells in a dose-dependent manner. The mode of cell death was via induction of intrinsic apoptotic pathways and cell cycle arrest. There was profound up-regulation of cytochrome c, caspases, p21 and p53 expression and repression of Akt and Bcl-2 expression in treated cells.
CONCLUSIONS: These results suggest that P sacharosa induces leukemic cell death via apoptosis induction and changes in cell cycle checkpoint, thus deserves further study for anti-leukemic potential.
MATERIALS AND METHODS: We performed mutational analysis of exons 14-15 and 20 of the FLT3 gene in 54 AML patients using PCR-CSGE (conformational sensitive gel electrophoresis) followed by sequencing analysis to characterise FLT3 mutations in adult patients diagnosed with AML at Hospital USM, Kelantan, Northeast Peninsular Malaysia.
RESULTS: FLT3 exon 14-15 mutations were identified in 7 of 54 patients (13%) whereas no mutation was found in FLT3 exon 20. Six ITDs and one non-ITD mutation were found in exon 14 of the juxtamembrane (JM) domain of FLT3. FLT3-ITD mutations were associated with a significantly higher blast percentage (p-value=0.008) and white blood cell count (p-value=0.023) but there was no significant difference in median overall survival time for FLT3-ITD+/FLT3-ITD- within 2 years (p-value=0.374).
CONCLUSIONS: The incidence of FLT3-ITD in AML patients in this particular region of Malaysia is low compared to the Western world and has a significant association with WBC and blast percentage.
METHODS: We used a combination of proliferation and apoptosis assays to assess the effect of JB on AML cell lines and patient samples, with BH3 profiling being performed to identify early effects of the drug (4 h). Phosphokinase arrays were adopted to identify potential driver proteins in the cellular response to JB, the results of which were confirmed and extended using western blotting and inhibitor assays and measuring levels of reactive oxygen species.
RESULTS: AML cell growth was significantly impaired following JB exposure in a dose-dependent manner; potent colony inhibition of primary patient cells was also observed. An apoptotic mode of death was demonstrated using Annexin V and upregulation of apoptotic biomarkers (active caspase 3 and cleaved PARP). Using BH3 profiling, JB was shown to prime cells to apoptosis at an early time point (4 h) and phospho-kinase arrays demonstrated this to be associated with a strong upregulation and activation of both total and phosphorylated c-Jun (S63). The mechanism of c-Jun activation was probed and significant induction of reactive oxygen species (ROS) was demonstrated which resulted in an increase in the DNA damage response marker γH2AX. This was further verified by the loss of JB-induced C-Jun activation and maintenance of cell viability when using the ROS scavenger N-acetyl-L-cysteine (NAC).
CONCLUSIONS: This work provides the first evidence of cytotoxicity of JB against AML cells and identifies ROS-induced c-Jun activation as the major mechanism of action.
METHODS: Haematological cancer cases with ICD-10 coded C81-C96 and ICD-O coded /3 diagnosed from 1996 to 2015 were retrieved from Sarawak Cancer Registry. Adult was defined as those 15 years and above. Incidence rate (IR) was calculated based on yearly Sarawak citizen population stratified to age, gender, and ethnic groups. Age-standardised IR (ASR) was calculated using Segi World Standard Population.
RESULTS: A total of 3,947 cases were retrieved and analysed. ASR was 10 and male predominance (IR ratio 1.32, 95%CI 1.24,1.41). Haematological cancers generally had a U-shaped distribution with lowest IR at age 10-14 years and exponential increment from age 40 years onwards, except acute lymphoblastic leukaemia (ALL) with highest IR in paediatric 2.8 versus adult 0.5. There was a significant difference in ethnic and specific categories of haematological cancers, of which, in general, Bidayuh (IR ratio 1.13, 95%CI 1.00, 1.27) and Melanau (IR ratio 0.54, 95%CI 0.45, 0.65) had the highest and lowest ethnic-specific IR, respectively, in comparison to Malay. The ASR (non-Hodgkin lymphoma, acute myeloid leukaemia, ALL, chronic myeloid leukaemia, and plasma cell neoplasm) showed a decreasing trend over the 20 years, -2.09 in general, while Hodgkin lymphoma showed an increasing trend of + 2.80. There was crude rate difference between the 11 administrative divisions of Sarawak.
CONCLUSIONS: This study provided the IR and ASR of haematological cancers in Sarawak for comparison to other regions of the world. Ethnic diversity in Sarawak resulted in significant differences in IR and ASR.
METHOD AND ANALYSIS: We will conduct a systematic review of randomised controlled trials that investigate the effect and safety of GO for the treatment of patients with AML. We will search for any eligible articles from selected electronic databases. We will follow the Preferred Reporting Items for Systematic reviews and Meta-Analysis for study selection and reporting. We will use The Cochrane Handbook for Systematic Reviews of Interventions and Meta-Analysis as guidance to select eligible studies. All data will be extracted using a standardised data extraction form.
ETHICS AND DISSEMINATION: There was no patient involved in this study, therefore no ethical consideration is needed. The findings of this study will be disseminated in a peer-reviewed journal and any relevant conference presentation.
PROSPERO REGISTRATION NUMBER: CRD42019123286.
METHODS: We used multiplex array technology to simultaneously detect and quantify 32 plasma analyte (22 reported analytes and 10 novel analytes) levels in 38 patients.
RESULTS: In our study, 16 analytes are found to be significantly deregulated (13 higher, 3 lower, Mann-Whitney U-test, P-value <0.005), where 5 of them have never been reported before in AML. We predicted a seven-analyte-containing multiplex panel for diagnosis of AML and, among them, MIF could be a possible therapeutic target. In addition, we observed that circulating analytes show five co-expression signatures.
CONCLUSIONS: Circulating analyte expression in AML significantly differs from normal, and follow distinct expression patterns.