PURPOSE: The purpose of this study was to analyze and identify recent trends of published research in Asian Oncology Nursing (AON). METHODS: A total of 140 studies were analyzed using a tool developed by the researchers, focusing on research design, research subject, research themes, and type of interventions and outcome variables of experimental studies. RESULTS: AON lacked studies which were supported by research funds (27.9%), or used an experimental study design (10.0%). In particular, there were only 2 studies (1.4%) conducted with randomized controlled trials (RCT). Research subjects were various, including patients with cancer, family care givers, healthy population, and oncology nurses. Based on a framework of cancer control continuum, most studies addressed issues of the treatment phase, whereas few studies addressed issues of diagnosis, survivorship, or the end-of-life (EOL) phase. Regarding research themes, psychosocial nursing including quality of life, anxiety, and depression was most frequently reported. In the experimental studies, an education program was most frequently applied and psycho-social-spiritual variables and symptoms were most frequently used to evaluate the effects of the intervention. CONCLUSION: The results suggest that further expansion of RCT and studies regarding diagnosis, survivorship, and EOL phases are needed. Also, our findings may contribute toward the development of a Korean oncology nursing research agenda.
Anxiety ; Asian Continental Ancestry Group* ; Caregivers ; Depression ; Diagnosis ; Education ; Financial Management ; Humans ; Nursing ; Nursing Research ; Oncology Nursing* ; Quality of Life ; Research Design ; Research Subjects ; Survival Rate

PURPOSE: The purpose of this study was to describe the level of satisfaction with the role of Korean oncology advanced practice nurses (KOAPNs) among cancer patients, physicians, and nurses. METHODS: This study was conducted with 176 patients who had experienced KOPANs' care more than three times, as well as 82 physicians and 190 nurses who have worked with KOAPNs at four hospitals in Korea. RESULTS: The results indicate that 1) Overall satisfaction in the patient group was high (3.61) and they were most satisfied with the 'attentiveness' domain; 2) Overall satisfaction in the physician group was also high (3.61), however, that in the nurse group was relatively low (3.28); 'coordination & cooperation' showed the highest score for satisfaction in both groups, while 'research' domain showed the lowest score; 3) Cancer type in patients, working department in physicians or nurses, and duration working with KOAPNs in nurses showed significant association with satisfaction; and 4) The ratio of KOAPNs-to-patient, time since introduction of the KOAPNs policy, and incentive system were institutional factors showing significant association with it. CONCLUSION: These findings suggest the necessity for identification and standardization of the roles of KOAPNs, as well as promotion of awareness of KOAPNs' care.
Advanced Practice Nursing ; Humans ; Korea ; Motivation ; Oncology Nursing

The explosive growth of next-generation sequencing data has resulted in ultra-large-scale datasets and ensuing computational problems. In Korea, the amount of genomic data has been increasing rapidly in the recent years. Leveraging these big data requires researchers to use large-scale computational resources and analysis pipelines. A promising solution for addressing this computational challenge is cloud computing, where CPUs, memory, storage, and programs are accessible in the form of virtual machines. Here, we present a cloud computing-based system, Bio-Express, that provides user-friendly, cost-effective analysis of massive genomic datasets. Bio-Express is loaded with predefined multi-omics data analysis pipelines, which are divided into genome, transcriptome, epigenome, and metagenome pipelines. Users can employ predefined pipelines or create a new pipeline for analyzing their own omics data. We also developed several web-based services for facilitating downstream analysis of genome data. Bio-Express web service is freely available at https://www.bioexpress.re.kr/.

The explosive growth of next-generation sequencing data has resulted in ultra-large-scale datasets and ensuing computational problems. In Korea, the amount of genomic data has been increasing rapidly in the recent years. Leveraging these big data requires researchers to use large-scale computational resources and analysis pipelines. A promising solution for addressing this computational challenge is cloud computing, where CPUs, memory, storage, and programs are accessible in the form of virtual machines. Here, we present a cloud computing-based system, Bio-Express, that provides user-friendly, cost-effective analysis of massive genomic datasets. Bio-Express is loaded with predefined multi-omics data analysis pipelines, which are divided into genome, transcriptome, epigenome, and metagenome pipelines. Users can employ predefined pipelines or create a new pipeline for analyzing their own omics data. We also developed several web-based services for facilitating downstream analysis of genome data. Bio-Express web service is freely available at https://www.bioexpress.re.kr/.

Objective: We used paclitaxel and cisplatin, known to be effective in intraperitoneal chemotherapy, in a novel prototype of rotational intraperitoneal pressurized aerosol chemotherapy (RIPAC) and evaluated the pharmacokinetics, tissue concentrations, and toxicities in a pig model. Methods: We developed RIPAC, including the nozzle with the conical pendulum motion, and used 10% of intravenous doses of paclitaxel and cisplatin. We used high-performance liquid chromatography followed by tandem mass spectrometry to analyze serum and tissue concentrations. We applied a non-compartment model to study pharmacokinetics to analyze the time-dependent serum concentrations measured before RIPAC to 48 hours. We evaluated the difference in tissue concentrations between twelve peritoneal regions by the modified peritoneal cancer index. For evaluating toxicities, we observed hepatic and renal function until 4 days after RIPAC. Results: Six pigs underwent RIPAC using paclitaxel (n=3) and cisplatin (n=3). The peak serum concentration (Cmax) and the area under the curve were higher for cisplatin, while the time to the peak serum concentration (Tmax) was longer for paclitaxel. Moreover, the parietal peritoneum showed higher tissue concentrations than the visceral peritoneum, and the ratio of tissue to serum concentrations using Cmax was higher for paclitaxel (172.2–6,237.9) than for cisplatin (0.1–9.3). However, there were no renal and hepatic toxicities after RIPAC with paclitaxel or cisplatin. Conclusion Delayed absorption of paclitaxel sprayed by RIPAC into the peritoneum to the bloodstream may lead to higher tissue concentrations at different regions and lower serum concentrations than cisplatin.