METHODS: fDTP2 was prepared by mounting fWGA on DTX-loaded nanoparticles (DTP2) using the two-step carbodiimide method. Morphology of fDTP2 was examined using scanning electron microscopy (SEM) and transmission electron microscopy (TEM). Dynamic light scattering (DLS) study was carried out to determine the mean diameter, polydispersity index (PDI) and zeta potential of fDTP2. Cellular uptake efficiency was examined using fluorescence microplate reader. Biocompatibility and active internalization of fDTP2 were conducted on HT-29.
RESULTS: fDTP2 was found to exhibit a DTX loading efficiency of 19.3%. SEM and TEM tests revealed spherical nanoparticles. The in vitro DTX release test showed a cumulative release of 54.7%. From the DLS study, fDTP2 reported a 277.7 nm mean diameter with PDI below 0.35 and -1.0 mV zeta potential. HT-29 which was fDTP2-treated demonstrated lower viability than L929 with a half maximal inhibitory concentration (IC50) of 34.7 µg/mL. HT-29 (33.4%) internalized fDTP2 efficiently at 2 h incubation. The study on HT-29 active internalization of nanoparticles through fluorescence and confocal imaging indicated such.
CONCLUSION: In short, fDTP2 demonstrated promise as a colonic drug delivery DTX transporter.
METHODS: We recruited 10 patients with advanced breast cancer with ECOG (Eastern Cooperative Oncology Group) performance status score of zero to two, who needed chemotherapy in the first or second-line setting to receive two-weekly docetaxel for 8 cycles. The primary endpoint was safety and secondary endpoints were response rate and progression free survival.
RESULTS: The most reported adverse events were haematological (anaemia 100% and neutropenia 90%). The febrile neutropenia rate was 10%. The overall response rate was 20%. The median progression free survival was 5.0 months.
CONCLUSION: Two-weekly docetaxel may be a reasonable alternative treatment regimen for patients with advanced breast cancer in the first or second-line setting. This regimen is yet to be compared with standard 3-weekly schedule in a phase 3 randomised clinical trial.
MATERIALS & METHODS: Niosomes were prepared using film hydration and ultrasonication methods. Transferrin was coupled to the surface of niosomes via chemical linker. Nanovesicles were characterized for size, zeta potential, morphology, stability and biological efficacy.
RESULTS: When evaluated in MDA-MB-231 cells, entrapment of T3 in niosomes caused 1.5-fold reduction in IC50 value compared with nonformulated T3. In vivo, the average tumor volume of mice treated with tumor-targeted niosomes was 12-fold lower than that of untreated group, accompanied by marked downregulation of three genes involved in metastasis.
CONCLUSION: Findings suggested that tumor-targeted niosomes served as promising delivery system for T3 in cancer therapy.
METHODS: A total of 131 consecutive patients exhibiting NMIBC at primary diagnosis were retrospectively investigated whether they had undergone any HAL-guided TURBT prior to RC. Uni- and multivariable analyses were used to evaluate the impact of HAL-TURBT on cancer-specific (CSS) and overall survival (OS). The median follow-up was 38 months (IQR 13-56).
RESULTS: Of the 131 patients, 69 (52.7%) were managed with HAL- and 62 (47.3%) with white light (WL)-TURBT only prior to RC. HAL-TURBT was associated with a higher number of TURBTs prior to RC (p = 0.002) and administration of intravesical chemotherapy (p = 0.043). A trend towards a higher rate of tumor-associated immune cell infiltrates in RC specimens (p = 0.07) and a lower utilization rate of post-operative systemic chemotherapy (p = 0.10) was noted for patients who were treated with HAL-TURBT. The 5-year CSS/OS was 90.9%/74.5% for the HAL-group and 73.8%/55.8% for the WL-group (p = 0.042/0.038). In multivariable analysis, lymph node tumor involvement (p = 0.007), positive surgical margins (p = 0.001) and performance of WL-TURBT only (p = 0.040) were independent predictors for cancer-specific death.
CONCLUSIONS: The present data suggest that the resection of NMIBC under HAL exerts a beneficial impact on outcomes of patients who will need to undergo RC during their course of disease. This finding may be due to improved risk stratification as the resection under HAL may allow more patients to be treated timely and adequately.
METHODS: This paper presents two hybrid methodologies that combines optimal control theory with multi-objective swarm and evolutionary algorithms and compares the performance of these methodologies with multi-objective swarm intelligence algorithms such as MOEAD, MODE, MOPSO and M-MOPSO. The hybrid and conventional methodologies are compared by addressing CMOOP.
RESULTS: The minimized tumor and drug concentration results obtained by the hybrid methodologies demonstrate that they are not only superior to pure swarm intelligence or evolutionary algorithm methodologies but also consumes far less computational time. Further, Second Order Sufficient Condition (SSC) is also used to verify and validate the optimality condition of the constrained multi-objective problem.
CONCLUSION: The proposed methodologies reduce chemo-medicine administration while maintaining effective tumor killing. This will be helpful for oncologist to discover and find the optimum dose schedule of the chemotherapy that reduces the tumor cells while maintaining the patients' health at a safe level.