Effectiveness of Changing the Class of Molecularly Targeted Agent after Disease Progression during Initial Molecularly Targeted Therapy for Luminal Advanced/Metastatic Breast Cancer.

BACKGROUND: The emergence of molecularly targeted agents (MTAs) has altered the treatment landscape for hormone receptor-positive (HR+), human epidermal growth factor 2-negative (HER2-) advanced breast cancer (ABC) /metastatic breast cancer (MBC). Multiple guidelines recommend molecularly targeted therapy as first-line treatment for HR+/HER2- ABC/MBC. However, optimal treatment for disease progression during MTA therapy remains undetermined. This study evaluated the suitability of different MTA types for this patient subgroup. METHODS: In this retrospective study, we analyzed the electronic health records of 56 patients with HR+/HER2- ABC/MBC receiving treatment with palbociclib, abemaciclib, or everolimus in our center between April 2014 and June 2021. RESULTS: Overall, 39, 14, and 35 regimens using palbociclib, abemaciclib, and everolimus, respectively, were identified. Three and 53 patients were premenopausal and postmenopausal, respectively. MTAs were included in the 1st-11th lines of treatment. Time to failure (TTF) was significantly different among the three MTAs. In contrast, TTF did not significantly differ among the 50 regimens that included CDK4/6 inhibitors, with/without prior mTOR inhibitor use, and the 35 regimens that included mTOR inhibitors, with/without prior CDK4/6 inhibitor use. CONCLUSIONS: The sequential use of different MTA classes did not affect the TTF of another MTA. mTOR inhibitor + exemestane is a favorable treatment option after CDK4/6 inhibitor + hormone therapy, and CDK4/6 inhibitor + hormone therapy is suitable for patients previously treated with mTOR inhibitor + exemestane. Although this study was retrospective and conducted at a single center, the present findings are useful for treatment selection in clinical practice.

Neutrophil extracellular traps-mediated Beclin-1 suppression aggravates atherosclerosis by inhibiting macrophage autophagy.

A growing body of evidence suggests that neutrophil extracellular traps (NETs) critically contribute to the development of atherosclerosis. However, the detailed mechanism of how NETs promote atherogenesis remains unknown. In this study, we explored the role of NETs for promoting atherosclerosis by modulating the activity of autophagy in macrophages. NETs were effectively induced by a nicotine administration to the HL-60 cell-derived neutrophil-like cells. Treatment with NETs markedly suppressed both autophagosome formation and autophagosome-lysosome fusion in 7-ketocholesterol-treated macrophages, which are accompanied by the enhancement of inflammasome activity. NETs upregulate epidermal growth factor receptor (EGFR) activity, which enhances Beclin-1 phosphorylation of the tyrosine residues of Beclin-1 by EGFR, inhibits the PI3 kinase activity of the Beclin1-Vps34 complex, and suppresses autophagosome formation in macrophages. Furthermore, NET-induced activation of EGFR allows Rubicon to increase its expression, thereby suppressing autophagosome-lysosome fusion. In vivo experiments revealed that the suppression of NET formation by ablating peptidyl arginine deiminase-4 in neutrophil leukocytes resulted in the attenuation of atherosclerotic plaques in a nicotine-administered HFD-fed ApoE -/- mice. Taken together, these results suggest that NET-mediated EGFR-Beclin-1 signaling in the macrophages promotes atherogenesis by autophagy inhibition-mediated inflammasome activation.

Molecular Targeted Therapy for Hormone Receptor-Positive, Human Epidermal Growth Factor 2-Negative Metastatic Breast Cancer in Clinical Practice.

BACKGROUND: The emergence of molecular targeted therapies (MTTs) has altered the treatment landscape for hormone receptor-positive (HR+), human epidermal growth factor 2-negative (HER2-) metastatic breast cancer (MBC). The objective of this study was to describe treatment patterns, clinical outcomes, and safety profiles for patients with HR+/HER2- MBC treated with palbociclib, abemaciclib, or everolimus in clinical practice. METHODS: Forty-five patients with HR+/HER2- MBC were enrolled; 40 received MTT as the third line or later and 5 received MTT as the first/second line. The results were compared with those of clinical trials. RESULTS: Median overall progression-free survival (PFS) was 5.3 months (95% confidence interval [CI] 2.8-8.4), and PFS was similar for patients receiving first/second line (5.5 months, 95% CI 1.8-) and third line or later (5.1 months, 95% CI 2.8-9.4) treatments. Eleven patients continued with the same regimen for >1 year; treatment is ongoing for 15 patients. In 23 patients (51%), everolimus was administered before cyclin-dependent kinase (CDK) 4/6 inhibitors. The most frequent grade 3 or worse adverse event (AE) with CDK4/6 inhibitors was neutropenia, whereas grade 3 or worse AEs with everolimus were Pneumocystis pneumonia, sepsis, and stomatitis. CONCLUSIONS: MTT was mostly used in third or later lines, and PFS was similar for patients receiving first/second line and third or later line treatments. However, this study included heavily treated patients and a small number of cases. Treatment options should consider maximal patient benefit, as indicated by the results of clinical trials.

Applying Intelligent Algorithms to Automate the Identification of Error Factors.

OBJECTIVES: Medical errors are the manifestation of the defects occurring in medical processes. Extracting and identifying defects as medical error factors from these processes are an effective approach to prevent medical errors. However, it is a difficult and time-consuming task and requires an analyst with a professional medical background. The issues of identifying a method to extract medical error factors and reduce the extraction difficulty need to be resolved. METHODS: In this research, a systematic methodology to extract and identify error factors in the medical administration process was proposed. The design of the error report, extraction of the error factors, and identification of the error factors were analyzed. RESULTS: Based on 624 medical error cases across four medical institutes in both Japan and China, 19 error-related items and their levels were extracted. After which, they were closely related to 12 error factors. The relational model between the error-related items and error factors was established based on a genetic algorithm (GA)-back-propagation neural network (BPNN) model. Additionally, compared to GA-BPNN, BPNN, partial least squares regression and support vector regression, GA-BPNN exhibited a higher overall prediction accuracy, being able to promptly identify the error factors from the error-related items. CONCLUSIONS: The combination of "error-related items, their different levels, and the GA-BPNN model" was proposed as an error-factor identification technology, which could automatically identify medical error factors.

The effect of workload on nurses' non-observance errors in medication administration processes: A cross-sectional study.

AIM: This study, based on actual medical error cases involving nurses, sought to identify non-observance errors-defying the standard operating procedures-in medication administration processes, and clarify the relationship between nursing workload and such behaviours. METHODS: Based on a cross-sectional survey, non-observance error cases were collected from three Japanese hospitals between January and December 2014, using self-reported data from participating nurses. Standard operating procedures and actual error content were compared to identify non-observance errors and workload. The statistical analysis was used to determine the relationship between non-observance error and workload. RESULTS: A total of 637 error cases were found in administering medication, of which 163 (25.6%) were workload-related non-observance errors. Individual analysis of the 163 cases identified seven workload issues that caused non-observance error and six categories of non-observance errors. The relationship between workload and such errors was also clarified. CONCLUSION: Our findings clarify the influence of workload on non-observance errors and may also help identify adjacent areas for specific improvements.

Pharmacokinetics and preventive effects of platinum nanoparticles as reactive oxygen species scavengers on hepatic ischemia/reperfusion injury in mice.

Reactive oxygen species (ROS) are involved in the pathophysiology of ischemia/reperfusion injury. To protect mouse hepatocytes from ischemia/reperfusion injury, we prepared two different sizes of citric acid-protected platinum nanoparticles (Pt-NPs), which exhibited ROS-scavenging activities and selective delivery to a specific type of liver cell. Small Pt-NPs (30 nm) reduced the superoxide anion, hydrogen peroxide, and hydroxyl radical levels in solution to a greater extent than did large Pt-NPs (106 nm). Large and small Pt-NPs predominantly accumulated in hepatic nonparenchymal cells after intravenous injection into mice. In a mouse model of ischemia/reperfusion injury, in which hepatic injury was induced by occluding the portal vein for 15 min followed by 6 h reperfusion, the increase in plasma alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activities was inhibited by a bolus intravenous injection of either large or small Pt-NPs. However, small Pt-NPs inhibited the increase in these markers of hepatic injury to a greater extent than did large Pt-NPs. These results indicate that Pt-NPs can be used to prevent hepatic ischemia/reperfusion injury. To our knowledge, this is the first report demonstrating the pharmacokinetics and efficacy of Pt-NPs to prevent hepatic ischemia/reperfusion injury.