Background/aim: The development of new biomarkers to predict cancer patient prognosis is expected to aid in treatment selection, contributing to improved outcomes. In this study, we extracted a candidate gene associated with patient prognosis from a public database and investigated the molecular and biological functions and clinical significance of the gene in gastric cancer.
Materials And Methods: We analyzed The Cancer Genome Atlas database and identified the family with sequence similarity 32 member a (FAM32A) as a candidate gene.
Background: The stability of antimicrobials in peritonitis during peritoneal dialysis (PD) solutions is a critical factor influencing treatment success. This study investigated the stability of daptomycin (DAP) when combined with icodextrin-based PD solution, by measuring DAP concentrations and observing any structural changes.
Methods: A dose of DAP (350 mg) was dissolved in 7 mL of saline in a clean bench.
Background: Dispensed drugs stored by patients are often in single-dose packages (SDPs) or are crushed and mixed after being removed from a press-through package (PTP) sheet. Information on their stability is extremely limited. To address this, we explored using chemiluminescence (CL) measurements to detect oxidative degradation.
View Article and Find Full Text PDFA complication of diabetes is neuropathic pain, which is difficult to control with medication. We have confirmed that neuropathic pain due to mechanical allodynia in diabetic mice is mediated by a characteristic neuropeptide in the spinal cord. We evaluated the strength of mechanical allodynia in mice using von Frey filaments.
View Article and Find Full Text PDFBackground/aim: Proximal gastrectomy (PG) is a therapy for early-stage proximal gastric cancer and offers advantages such as the preservation of food storage capacity and less body weight loss (BWL). Nevertheless, significant BWL following PG may occur, affecting the patient's well-being and survival. In this study, we aimed to identify the relevant factors for BWL following PG by analyzing an institutional database of patients.
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