ABSTRACT
BACKGROUND: Although the prognosis of ovarian cancer can be significantly improved through standardized surgery and chemotherapy, 70% of epithelial ovarian cancer (EOC) patients would suffer from drug resistance and recurrence during the long chemotherapy cycle. OBJECTIVE: To explore the impact of a training mode based on the integration of virtual reality technology and mindfulness on anxiety, depression, and cancer-related fatigue in ovarian cancer patients during chemotherapy. METHOD: Through virtual reality technology, a mindfulness training software was designed and developed, and a mindfulness training mode based on virtual reality technology was constructed. Using a self-controlled design, 48 ovarian cancer patients undergoing chemotherapy who were hospitalized in a tertiary hospital in Beijing from August 2022 to May 2023 were conveniently selected as the research subjects. The patients were subjected to four weeks of mindfulness training based on virtual reality technology, and the acceptance of the mindfulness training mode using virtual reality technology was evaluated. The Hospital Anxiety and Depression Scale (HADS) and Cancer Related Fatigue Scale (CRF) were used to evaluate the anxiety, depression, and fatigue of patients before and after intervention. RESULTS: The virtual reality based mindfulness training mode includes four functional modules: personalized curriculum, intelligent monitoring, emotion tracking, and Funny Games. 48 patients had a high acceptance score (139.21 ± 10.47), and after using mindfulness training mode based on virtual reality technology, anxiety, depression, and cancer-related fatigue in ovarian cancer patients during chemotherapy were significantly reduced, with a statistically significant difference (p< 0.001). CONCLUSION: Ovarian cancer patients during chemotherapy have a high acceptance of virtual reality based mindfulness training mode. The application of this mode can reduce the psychological problems of anxiety, depression, and cancer-related fatigue in ovarian cancer patients during chemotherapy, and is worth promoting and using.
Subject(s)
Mindfulness , Ovarian Neoplasms , Virtual Reality , Humans , Female , Depression/etiology , Depression/therapy , Anxiety/etiology , Anxiety/therapy , Ovarian Neoplasms/complications , Ovarian Neoplasms/drug therapy , Fatigue/etiology , Fatigue/therapy , Fatigue/psychologyABSTRACT
Large numbers of microRNAs (miRNAs) reportedly play important roles in plant development. However, none has been reported in Pinellia pedatisecta, an important aroid medicinal plant that possesses the only pedate leaf blades and the largest tubers and inflorescences among all Pinellia species. To detect the miRNAs from P. pedatisecta, an in situ synthesized custom miRNA microarray was employed, following the verification for the presence of the miRNAs through reverse transcription polymerase chain reaction (RT-PCR) and the quantitative RT-PCR (qRT-PCR). A total of 99 miRNAs belonging to 22 miRNA families were identified. The RT-PCR was applied to 14 miRNAs detected to validate the microarray results. The qRT-PCR that targeted seven miRNAs showed different expression levels of miRNAs in different tissues. The current research is the first to report on the miRNAs in P. pedatisecta and will enable further investigation of their roles in P. pedatisecta development.