Background And Objective: Radiation therapy (RT) is one of the important components of comprehensive treatment for breast cancer and has important value in improving the control rate of local areas, reducing the chance of recurrence and metastasis after breast cancer surgery, delaying disease progression, and improving the survival of breast cancer patients. The factors that affect the RT sensitivity of breast cancer are important. The above potential predictors of radiation efficacy can provide patients with a predictive method and therefore have significant value in clinical therapy.
View Article and Find Full Text PDFBackground: Choosing the appropriate treatment early and predicting the efficacy of neoadjuvant chemotherapy (NAC) for locally advanced breast cancer patients are of particular importance for clinicians. Developing and validating a multiparametric model for predicting NAC would be very meaningful for clinical practice.
Methods: This study included 91 patients with locally advanced breast cancer treated from 2016 to 2020.
Purpose: Neuroinflammation runs through the whole process of nervous system diseases and brain injury. Inflammasomes are thought to be especially relevant to immune homeostasis, and their dysregulation contributes to pyroptosis. The natural compound Ginsenoside Rg1 has been shown to possess anti-inflammatory effects; however, its underlying mechanisms are not entirely clear.
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