Implantable, 3D-Printed Alginate Scaffolds with Bismuth Sulfide Nanoparticles for the Treatment of Local Breast Cancer via Enhanced Radiotherapy.

Surgical removal of tumor tissue remains the primary clinical approach for addressing breast cancer; however, complete tumor excision is challenging, and the remaining tumor cells can lead to tumor recurrence and metastasis over time, which substantially deteriorates the life quality of the patients. With the aim to improve local cancer radiotherapy, this work reports the fabrication of alginate (Alg) scaffolds containing bovine serum albumin (BSA)-coated bismuth sulfide (Bi2S3@BSA) nanoradiosensitizers using three-dimensional (3D) printing. Under single-dose X-ray irradiation in vitro, Alg-Bi2S3@BSA scaffolds significantly increase the formation of reactive oxygen species, enhance the inhibition of breast cancer cells, and suppress their colony formation capacity. In addition, scaffolds implanted under tumor tissue in murine model show high therapeutic efficacy by reducing the tumor volume growth rate under single-dose X-ray irradiation, while histological observation of main organs reveals no cytotoxicity or side effects. 3D-printed Alg-Bi2S3@BSA scaffolds produced with biocompatible and biodegradable materials may potentially lower the recurrence and metastasis rates in breast cancer patients by inhibiting residual tumor cells following postsurgery as well as exhibit anticancer properties in other solid tumors.

Association between carotid intima-media thickness and presence of coronary artery disease in chronic obstructive pulmonary disease patients.

OBJECTIVE: Chronic obstructive pulmonary disease (COPD) is a risk factor for cardiovascular disease (CVD). Carotid intima-media thickness (CIMT) is the sign of subclinical atherosclerosis. Therefore, the aim of this study was to evaluate whether CIMT measurement is related with significant coronary artery disease (CAD) in patients with COPD, similar to those without COPD. METHODS: One hundred and eight patients with previously diagnosed COPD and 78 patients without COPD who underwent coronary angiography (CAG) were enrolled in this prospective cross-sectional study. Carotid artery ultrasonography was performed on all patients after coronary angiography by another operator who was blind to the CAG results. The patients were divided into four subgroups as follows: group 1: COPD (-) and CAD (-); group 2: COPD (-) and CAD (+); group 3: COPD (+) and CAD (+); and group 4: COPD (+) and CAD (-). Patients with previous coronary revascularization, carotid artery disease, and lung disease other than COPD were not enrolled in this study. The student's t-test, chi-square analysis, multiple logistic regression analysis, and receiver operating characteristic (ROC) curve were used for statistical analysis. RESULTS: CIMT was found to be highest in patients with both significant CAD and COPD (group 3) (p<0.05). Among the 108 COPD patients, the odds ratio associated with the CIMT >1.25 mm to predict CAD was 12.4. The area under the ROC curve for a cut-off value of 1.25 mm for CIMT to predict CAD in COPD patients was calculated as 0.913, with a sensitivity of 89.7% and specificity of 86.7%. CONCLUSION: CIMT has a predictive value for the presence of CAD in patients with COPD. Further studies are needed to validate our results.

Forced expiratory volume in one second can predict SYNTAX score in patients with chronic obstructive pulmonary disease.

BACKGROUND: The SYNTAX score is an angiographic score that predicts coronary artery disease (CAD) complexity. It has been shown to be useful for decision making about percutaneous coronary intervention or coronary artery bypass grafting among patients with CAD. Higher SYNTAX scores are indicative of more complex disease. Chronic obstructive pulmonary disease (COPD) is characterised by limitation of airflow. Measurement of forced expiratory volume in one second (FEV1) in spirometry is used for diagnosis and to determine the severity of the disease. AIM: To evaluate the relationship between FEV1 and SYNTAX score in patients with COPD. METHODS: Seventy-eight patients with a previous diagnosis of COPD and 48 patients without COPD were enrolled. Spirometry and coronary angiography were performed in all patients. SYNTAX score was calculated and compared between the two groups. The correlation between FEV1 and SYNTAX score was analysed. RESULTS: SYNTAX score was higher in patients with COPD than in patients without COPD (23.22 ± 12.10 vs. 17.92 ± 11.21, respectively; p = 0.013). Multivariate analysis demonstrated that COPD was independently predictive for intermediate and high SYNTAX score (odds ratio 4.833; 95% confidence interval 2.228-10.485; p < 0.001). Mean FEV1 (% predicted) was 64.7 ± 11.4 and negatively correlated with SYNTAX score in COPD group (r = -0.266 and p = 0.018). The receiver operating characteristic analysis yielded a cutoff value of 65.5 for the FEV1 to predict SYNTAX score ≥ 23, with sensitivity and specificity being 78.6% and 70%, respectively. CONCLUSIONS: COPD is a predictor of higher SYNTAX scores. FEV1 is associated with more severe and complex CAD.