MATERIALS AND METHODS: We reviewed the clinical notes of all patients prescribed with oral capecitabine chemotherapy for any tumour sites in University Malaya Medical Centre (UMMC) from 1st January 2009 till 31st June 2010. Information collected included patient demographics, histopathological features, treatment received including the different chemotherapy regimens and intent of treatment whether the chemotherapy was given for neoadjuvant, concurrent with radiation, adjuvant or palliative intent. The aim of this study is to establish the pattern of usage, FN and TRD rates with capecitabine in clinical practice outside of clinical trial setting. FN is defined as an oral temperature >38.5°or two consecutive readings of >38.0° for 2 hours and an absolute neutrophil count <0.5 x 109/L, or expected to fall below 0.5 x 109/L (de Naurois et al., 2010). Treatment related death was defined as death occurring during or within 30 days of last chemotherapy treatment.
RESULTS: Between 1st January 2009 and 30th June 2010, 274 patients were treated with capecitabine chemotherapy in UMMC. The mean age was 58 years (range 22 to 82 years). Capecitabine was used in 14 different tumour sites with the colorectal site predominating with a total of 128 cases (46.7%), followed by breast cancer (35.8%). Capecitabine was most commonly used in the palliative setting accounting for 63.9% of the cases, followed by the adjuvant setting (19.7%). The most common regimen was single agent capecitabine with 129 cases (47.1%). The other common regimens were XELOX (21.5%) and ECX (10.2%). The main result of this study showed an overall FN rate of 2.2% (6/274). The overall TRD rate was 5.1% (14/274). The FN rate for the single agent capecitabine regimen was 1.6% (2/129) and the TRD rate was 5.4% (7/129). All the TRDs were with single agent capecitabine regimen were used for palliative intent.
CONCLUSIONS: Oral capecitabine is used widely in clinical practice in a myriad of tumour sites and bears a low risk of febrile neutropaenia. However, capecitabine like any other intravenous chemotherapeutic agent carries a significant risk of treatment related death.
METHODS: TC-16 was screened for phytochemicals. Phenolic and flavonoid contents of TC-16 and its individual ingredients were determined, followed by assessment of antioxidant properties using in vitro assays including 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonate) (ABTS), 2,2-diphenyl-1-picrylhydrazyl (DPPH), ferric reducing antioxidant power (FRAP), oxygen radical absorbance capacity (ORAC) and β-carotene bleaching (BCB) assays. Interactions among the herbs were also investigated by calculating the difference in antioxidant activity and combination index.
RESULTS: Alkaloids, flavonoids, terpenoids, saponins and glycosides were present in TC-16. TC-16 possessed the highest phenolic (46.14 ± 1.40 mg GAE/g) and flavonoid (132.69 ± 1.43 mg CE/g) contents following C. longa. Synergistic antioxidant activity among the herbs was evident in ORAC and BCB assays which uses mainly hydrogen atom transfer-based antioxidant mechanisms.
CONCLUSIONS: TC-16 demonstrated roles in combating free radicals. In a PHF, synergistic interaction among the herbs is observed in some but not all mechanisms. Mechanisms showing synergistic interactions should be highlighted to maximise the beneficial property of the PHF.
OBJECTIVE: To develop effective hybrid techniques that combine the optimal control theory (OCT) with the evolutionary algorithm and multi-objective swarm algorithm. The developed technique is aimed to reduce the number of cancerous cells while utilizing the minimum necessary chemotherapy medications and minimizing toxicity to protect patients' health.
METHODS: Two hybrid techniques are proposed in this paper. Both techniques combined OCT with the evolutionary algorithm and multi-objective swarm algorithm which included MOEA/D, MOPSO, SPEA II and PESA II. This study evaluates the performance of two hybrid techniques in terms of reducing cancer cells and drug concentrations, as well as computational time consumption.
RESULTS: In both techniques, MOEA/D emerges as the most effective algorithm due to its superior capability in minimizing tumour size and cancer drug concentration.
CONCLUSION: This study highlights the importance of integrating OCT and evolutionary algorithms as a robust approach for optimizing cancer chemotherapy treatment.