A simple label-free electrochemiluminescence (ECL) aptasensor was constructed for the detection of thrombin (TB). We explored the possibility of using π–π stacking to synthesis Ru(phen)32+-encapsulated CNTs nanocomposites (Ru(phen)32+@CNTs), which were immobilized on a glassy carbon electrode (GCE) surface by nafion to form the Ru(phen)32+@CNTs-Nf film as an ECL signal probe. Hollow gold nanospheres (HGNPs) were adsorbed onto the modified electrode to immobilize thrombin binding aptamer (TBA). When TB is bound by its TBA, the TB–TBA complex is electrical inertia, resulting in the decrease of ECL intensity. This work provided a new method for immobilizing the luminophore on an electrode surface and would extend the application of CNTs.
Abstract Purpose Ultrasonography is one of the most effective methods for diagnosing breast diseases, especially among Asian women. The Breast Imaging Reporting and Data System (BI-RADS) is widely used independently of age in diagnosing breast cancer via ultrasonography. This study aimed to develop a model that integrates age with the BI-RADS lexicon to improve the diagnostic accuracy of ultrasonography in diagnosing breast cancer among the Chinese population. Methods This study comprised two cohorts: the training cohort, including 975 women from the Renmin Hospital of Wuhan University, and the validation cohort, including 500 women from the Maternal and Child Health Hospital of Hubei Province. Logistic regression was used to construct a model combining BI-RADS scores with age and to determine the age-based prevalence of breast cancer to predict a cut-off age. The area under the curve (AUC) was used to determine the model’s diagnostic efficacy. Results The age with BI-RADS scores model had the best performance compared to the age-only model and BI-RADS scores-only model with an AUC of 0.872 (95% CI: 0.850–0.894, p < 0.001). Moreover, among participants aged < 30 years, the prevalence of breast cancer was lower than the lower limit of the reference range (2%) for the BI-RADS subcategory 4A lesions but within the reference range for BI-RADS category 3 lesions according to the linear regression analysis. Conclusions The integrated assessment model based on age and BI-RADS may improve the accuracy of ultrasonography in diagnosing breast lesions. Young patients with BI-RADS subcategory 4A lesions may be excluded from biopsy.
Objective: To investigate the therapeutic effects of two different drainage methods for preventing subcutaneous hydrops after breast cancer operation. Method: 216 patients with radical operation on breast cancer were divided into two groups at random: experimental group (106 cases, negative pressure suction was used), control group (110 cases, one-off negative pressure bags was used). Result: There were no significant differences on subcutaneous hydrops, necrosis of skin flap, intubation time and average hospitalization time after breast cancer operation between two groups(P0.05). Conclusion: The two drainage methods both could be used to prevent the subcutaneous hydrops after breast cancer operation and had the same efficacy.
Abstract Differential RNA expression is becoming increasingly valuable in evaluating tumor heterogeneity for a better understanding of malignant tumors and guiding personalized therapy. However, traditional techniques for analyzing cellular RNA are mainly focused on determining the absolute level of RNA, which may lead to inaccuracies in understanding tumor heterogeneity, primarily due to i) the subtle differences in certain RNA types that have similar total concentrations and ii) the existence of variations in RNA expression across different samples. Herein, a detachable DNA assembly module is proposed that is capable not only of quantifying the expression level of target RNA but also of innovatively evaluating its proportion within its RNA family population through a sequential assembly and disassembly route. Using the let‐7 family as an experimental model, a significant difference is discovered in let‐7a proportion between normal mammary epithelial cells and breast cancer cells, a characteristic that is often missed in bulk analysis of traditional techniques. By combining concentration and proportion information, the detachable DNA assembly module demonstrates markedly higher efficiency in discerning among various types of cells compared to traditional techniques. This innovative assembly module is expected to offer a new perspective to highlight tumor heterogeneity and guide personalized therapy.
In this study, three nano-materials comprising gold-platinum nanoparticles (Au-PtNPs), horseradish peroxidase nanoparticles (HRPNPs) and nickel hexacyanoferrate nanoparticles (NiHCFNPs) were used to construct a signal-off immunosensor. Au-PtNPs and NiHCFNPs were assembled on a glass carbon electrode (GCE) by electrodeposition and gold-cyanide bond formation, respectively; anti-fetoproteins (anti-AFP) were immobilized on the Au-PtNPs. HRPNPs were employed to block the possible remaining active sites and avoid nonspecific adsorption. Here, NiHCFNPs served as redox probes, while Au-PtNPs and HRPNPs were used for the synergistic catalysis of H(2)O(2) to amplify the signal. With more and more immunocomplex produced by the antibody-antigen reaction covering the biosensing surface, thus hindering electron transfer, the catalytic peak current will decrease quantitatively in relation to the concentration of target antigen. The resulting immunosensors exhibited a fast response and excellent sensitivity to α-fetoprotein (AFP), and showed two linear ranges in the concentration ranges of 0.06-13 ng mL(-1) and 13-200 ng mL(-1) with a detection limit of 0.017 ng mL(-1).
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