RESUMEN
Sesquiterpene lactones, a class of natural compounds abundant in the Asteraceae family, have gained attention owing to their diverse biological activities, and particularly their anti-proliferative effects on human cancer cells. In this study, we systematically investigated the structure-activity relationship of ten sesquiterpene lactones with the aim of elucidating the structural determinants for the STAT3 inhibition governing their anti-proliferative effects. Our findings revealed a significant correlation between the STAT3 inhibitory activity and the anti-proliferative effects of sesquiterpene lactones in MDA-MB-231 breast cancer cell lines. Among the compounds tested, alantolactone and isoalantolactone emerged as the most potent STAT3 inhibitors, highlighting their potential as candidates for anticancer drug development. Through protein-ligand docking studies, we revealed the structural basis of STAT3 inhibition by sesquiterpene lactones, emphasizing the critical role of hydrogen-bonding interactions with key residues, including Arg609, Ser611, Glu612, and Ser613, in the SH2 domain of STAT3. Furthermore, our conformational analysis revealed the decisive role of the torsion angle within the geometry-optimized structures of sesquiterpene lactones in their STAT3 inhibitory activity (R=0.80, p<0.01). These findings not only provide preclinical evidence for sesquiterpene lactones as promising phytomedicines against diseases associated with abnormal STAT3 activation, but also highlight the importance of stereochemical aspects in their activity.
RESUMEN
OBJECTIVE: We investigated the effect of our quality control (QC) program on the management strategy, completeness of the surgery, and clinical outcomes in advanced ovarian cancer. METHODS: A retrospective review of medical records from January 2005 to December 2019 identified 129 patients with advanced ovarian cancer. Cases were categorized into group 1 (2005-2013) and group 2 (2014-2019) before and after implementation of the QC program. Comparisons included clinicopathological variables, operative details, recurrence and survival outcomes. RESULTS: In Group 2 (n=44), after QC program implementation, primary debulking surgery (PDS) decreased (87.1% vs. 63.6%) and interval debulking surgery (IDS) increased (12.9% vs. 36.4%), indicating a shift in surgical strategy. Optimal resection rates improved significantly for PDS in group 2 (50.0% to 75.0%, p=0.007) and remained high for IDS in both groups (81.8% vs. 81.3%, p>0.999). Post-QC, advanced debulking procedures and co-operation with other departments increased in the IDS (p<0.05). Intra/post-operative complication rates were statistically comparable (p>0.05), whereas postoperative hospital stay was significantly shorter in group 2 (17 days vs. 22 days, p=0.001). Median recurrence-free survival increased after QC, although not statistically significant (19.18 months vs. 25.38 months, p=0.855). CONCLUSION: With QC program, treatment strategies and clinical outcomes were significantly improved in advanced ovarian cancer. Systematic QC monitoring program should be considered as routine surveillance for better surgical outcomes.
RESUMEN
Particulate matter 2.5 (PM2.5) is associated with reproductive health and adverse pregnancy outcomes. However, studies evaluating biological markers of PM2.5 are lacking, and identifying biomarkers for estimating prenatal exposure to prevent pregnancy complications is essential. Therefore, we aimed to explore urine metabolites that are easy to measure as biomarkers of exposure. In this matched case-control study based on the PM2.5 exposure, 30 high PM2.5 group (>15 µg/m3) and 30 low PM2.5 group (<15 µg/m3) were selected from air pollution on pregnancy outcome (APPO) cohort study. We used a time-weighted average model to estimate individual PM exposure, which used indoor PM2.5 and outdoor PM2.5 concentrations by atmospheric measurement network based on residential addresses. Clinical characteristics and urine samples were collected from participants during the second trimester of pregnancy. Urine metabolites were quantitatively measured using gas chromatography-mass spectrometry following multistep chemical derivatization. Statistical analyses were conducted using SPSS version 21 and MetaboAnalyst 5.0. Small for gestational age and gestational diabetes (GDM) were significantly increased in the high PM2.5 group, respectively (P = 0.042, and 0.022). Fifteen metabolites showed significant differences between the two groups (P < 0.05). Subsequent pathway enrichment revealed that four pathways, including pentose and glucuronate interconversion with three pentose sugars (ribose, arabinose, and xylose; P < 0.05). The concentration of ribose increased preterm births (PTB) and GDM (P = 0.044 and 0.049, respectively), and the arabinose concentration showed a tendency to increase in PTB (P = 0.044). Therefore, we identified urinary pentose metabolites as biomarkers of PM2.5 and confirmed the possibility of their relationship with pregnancy complications.