MATERIALS AND METHODS: This retrospective study examined NPC patients between 1st January 2001 and 31st December 2005 in Penang General Hospital. Survival analyses were performed using the Kaplan-Meier method and comparisons between groups were made using the log-rank test. Important prognostic factors including patient demographics, tumour and treatment factors were analysed using the Cox proportional hazard model.
RESULTS: A total of 285 patients were identified with a median age of 51 years, 72.6% being males. The majority were Chinese (66%) followed by Malays (31.9%). Primary tumour stages (T stages) 3 and 4 were present in 18.6% and 34% of patients respectively, and nodal disease was present in 80.4%. On overall AJCC staging, 29.1% had stage III and 50.2% had stage IV disease. Some 39.6% of patients had WHO type 3 histology and 7.4% had WHO type 1-2 histology with the remainder having NPC with no subtype reported. Concurrent chemo-irradiation was the commonest treatment received by patients (51.9%) followed by radiotherapy alone (41.8%). The 5 year overall survival and cause specific survival were 33.3% and 42.7% respectively. Age group, T stage, N stage and WHO histological subtype were independent prognostic factors for overall survival on multivariate analysis. For cause specific survival they were T stage and N stage.
CONCLUSION: The 5 years overall survival rate was 33.3%. This low figure is primarily due to late presentation. Efforts to detect NPC at earlier stages in Malaysia are urgently needed. These should include public education to increase awareness of the prevalence of this highly treatable disease.
METHODS: Venous blood samples from 46 pathologically confirmed PDAC patients were collected prospectively before surgery and immunoassayed using a specially designed TU-chip™. Captured CTCs were differentiated into epithelial (E), mesenchymal and hybrid (H) phenotypes. A further 45 non-neoplastic healthy donors provided blood for cell line validation study and CTC false positive quantification.
FINDINGS: A validated multivariable model consisting of disjunctively combined CTC phenotypes: "H-CTC≥15.0 CTCs/2ml OR E-CTC≥11.0 CTCs/2ml" generated an optimal prediction of metastasis with a sensitivity of 1.000 (95% CI 0.889-1.000) and specificity of 0.886 (95% CI 0.765-0.972). The adjusted Kaplan-Meier median OS constructed using Cox proportional-hazard models and stratified for E-CTC
MATERIALS AND METHODS: This was a cross-sectional descriptive study on a convenience sample of 100 Malaysian breast cancer survivors.
FINDINGS: The reported use of CAM among the breast cancer survivors was lower than in other studies but the types of CAM used had a similar pattern with nutrition supplements/vitamins being the most common. The factors that positively influenced the use of complimentary/traditional therapy were income and getting information from television or radio. Survivors with access to internet/blogs appear to have lower odds of using complimentary/traditional therapy compared to the respondents who reported no such access.
CONCLUSIONS: Information transmitted via television and radio appears to have a positive influence on CAM use by breast cancer patients compared to other information sources and it is important to ensure that such information is accurate and impartial.
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: Data were retrieved for major SGC patients diagnosed between 1988 and 2011 from Surveillance, Epidemiology, and End Results program.
RESULTS: We have included 5446 patients with major SGC. Most patients had parotid gland cancer (84.61%). Patients having >18 ELNs, >4 PLNs, and >33.33% LNR were associated with a worse survival. Moreover, older age, male patients, grade IV, distant stage, unmarried patients, submandibular gland cancer, and received chemotherapy but not received surgery were significantly associated with a worse survival.
CONCLUSIONS: We demonstrated that patients with >18 ELNs and >4 PLNs counts, and >33.33% LNR were high-risk group patients. We strongly suggest adding the ELNs and PLNs counts and/or LNR into the current staging system.
RESULTS: In the present cross-sectional descriptive study, analysis of ZAP-70 expression showed that 36/110 (32.7%) patients positively expressed ZAP-70 and insignificant higher presentation in intermediate and at advanced stages as well as no correlation was seen with hematological parameters and clinical features compared with negatively ZAP-70, on the other hand, 41/110 (37.3%) were CD38+ and no significant correlation was shown with the stage at presentation, clinical characteristics (except Splenomegaly, P = 0.02) and hematological parameters. However, in combined expressions of both ZAP-70 and CD38 together, 20/110 (18.2%) were concordantly ZAP-70+/CD38+, 53/110 (48.2%) concordantly ZAP-70-/CD38- and 37/110 (33.6%) either ZAP-70+ or CD38+, and these three groups showed insignificant correlation with clinical (except Splenomegaly, P = 0.03) and hematological parameters, and the stage at presentation. Our data showed the combined analysis of these two markers, lead to classify our patients into three subgroups (either concordant positive, negative or discordant expressions) with statistically insignificant correlation with clinical presentation (except Splenomegaly), hematological parameters and stage at presentation of B-CLL patients.
METHODS AND MATERIALS: Patients with T3-4, N2 M0 breast cancer diagnosed between January 2005 and December 2008 and who received at least one cycle of neoadjuvant chemotherapy were eligible for this study. Thirty-four patients were identified from the Chemotherapy Daycare Records and their medical records were reviewed retrospectively. The neoadjuvant chemotherapy regimen administered was at the discretion of the treating oncologist. Breast tumour size and nodal status was assessed at diagnosis, at each cycle and before surgery.
RESULTS: All 34 patients had invasive ductal cancer. The median age was 52 years (range 27-69). 65% had T4 disease and 76% were clinically lymph node positive at diagnosis. The median size of the breast tumour at presentation was 80 mm (range 42-200 mm). Estrogen and progesterone receptor positivity was seen in less than 40% and HER2 positivity, by immunohistochemistry, in 27%. The majority (85%) of patients had anthracycline based chemotherapy, without taxanes. The overall response rate (clinical CR+PR) was 67.6% and pathological complete responses were apparent in two (5.9%). 17.6% of patients defaulted part of their planned treatment. Recurrent disease was seen in 44.1% and the median time to relapse was 11.3 months. The three year disease free and overall survival rates were 52.5% and 58% respectively.
CONCLUSION: Neoadjuvant chemotherapy for locally advanced breast cancer in a Malaysian setting confers response and pCR rates comparable to published clinical trials. Patients undergoing neoadjuvant chemotherapy are at risk of defaulting part of their treatment and therefore their concerns need to be identified proactively and addressed in order to improve outcomes.
METHODS: In total, 80 samples of tumor and matched adjacent normal tissues were collected from breast cancer patients at Seberang Jaya Hospital (SJH) and Kepala Batas Hospital (KBH), both in Penang, Malaysia. The protein expression profiles of breast cancer and normal tissues were mapped by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). The Gel-Eluted Liquid Fractionation Entrapment Electrophoresis (GELFREE) Technology System was used for the separation and fractionation of extracted proteins, which also were analyzed to maximize protein detection. The protein fractions were then analyzed by tandem mass spectrometry (LC-MS/MS) analysis using LC/MS LTQ-Orbitrap Fusion and Elite. This study identified the proteins contained within the tissue samples using de novo sequencing and database matching via PEAKS software. We performed two different pathway analyses, DAVID and STRING, in the sets of proteins from stage 2 and stage 3 breast cancer samples. The lists of molecules were generated by the REACTOME-FI plugin, part of the CYTOSCAPE tool, and linker nodes were added in order to generate a connected network. Then, pathway enrichment was obtained, and a graphical model was created to depict the participation of the input proteins as well as the linker nodes.
RESULTS: This study identified 12 proteins that were detected in stage 2 tumor tissues, and 17 proteins that were detected in stage 3 tumor tissues, related to their normal counterparts. It also identified some proteins that were present in stage 2 but not stage 3 and vice versa. Based on these results, this study clarified unique proteins pathways involved in carcinogenesis within stage 2 and stage 3 breast cancers.
CONCLUSIONS: This study provided some useful insights about the proteins associated with breast cancer carcinogenesis and could establish an important foundation for future cancer-related discoveries using differential proteomics profiling. Beyond protein identification, this study considered the interaction, function, network, signaling pathway, and protein pathway involved in each profile. These results suggest that knowledge of protein expression, especially in stage 2 and stage 3 breast cancer, can provide important clues that may enable the discovery of novel biomarkers in carcinogenesis.