RESUMO
As prostate cancer (PCa) is one of the most commonly diagnosed cancer worldwide, identifying potential prognostic biomarkers is crucial. In this study, the survival information, gene expression, and protein expression data of 344 PCa cases were collected from the Cancer Proteome Atlas (TCPA) and the Cancer Genome Atlas (TCGA) to investigate the potential prognostic biomarkers. The integrated prognosis-related proteins (IPRPs) model was constructed based on the risk score of each patients using machine-learning algorithm. IPRPs model suggested that Elevated RAD50 expression (p = 0.016) and down-regulated SMAD4 expression (p = 0.017) were significantly correlated with unfavorable outcomes for PCa patients. Immunohistochemical (IHC) staining and western blot (WB) analysis revealed significant differential expression of SMAD4 and RAD50 protein between tumor and normal tissues in validation cohort. According to the overall IHC score, patients with low SMAD4 (p < 0.0001) expression and high RAD50 expression (p = 0.0001) were significantly correlated with poor outcomes. Besides, expression of SMAD4 showed significantly negative correlation with most immune checkpoint molecules, and the low SMAD4 expression group exhibited significantly high levels of LAG3 (p < 0.05), TGFß (p < 0.001), and PD-L1 (p < 0.05) compared with the high SMAD4 expression group in the validation cohort. Patients with low SMAD4 expression had significantly higher infiltration of memory B cells (p = 0.002), CD8 + T cells (p < 0.001), regulatory T cells (p = 0.006), M2-type macrophages (p < 0.001), and significantly lower infiltration of naïve B cells (p = 0.002), plasma cells (p < 0.001), resting memory CD4 + T cells (p < 0.001) and eosinophils (p = 0.045). Candidate proteins were mainly involved in antigen processing and presentation, stem cell differentiation, and type I interferon pathways. Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-022-00070-1.
RESUMO
Dan-hong injection (DHI) is extracted from Salvia miltiorrhiza (SM) and Carthamus tinctorius (CT) and is widely used for the treatment of cardiovascular diseases. Our previous results showed DHI could improve hemorheology in rats. Since complex cellular interactions such as inflammation and oxidative stress are believed to be implicated in the pathogenesis of cardiovascular events, investigation of such pathological factors will contribute substantially to the understanding of the features and mechanisms of DHI. Therefore, in this study we used a rat model of blood stasis to explore the overall effects of DHI by detecting twenty three indexes, which were related to inflammation, immune response, vascular endothelial function, myocardial energy metabolism, oxidative stress, platelet aggregation, liver and renal function. Meanwhile, the interaction between SM and CT was discussed by comparing the effects of each single herb. DHI could significantly decrease the serum contents of IL-1ß, TNF-α, IL-6, IL-8, IgM, IgG, IgA, MPO, hs-CRP, MDA, LDH, CK-MB, PAF, ALP and Cr, while elevate NO, SOD, TP and UA levels, indicating that DHI could inhibit inflammation and platelet aggregation, thereby relieving immune response and peroxidation, protecting vascular endothelial and organ function, and then prevent and treat cardiovascular diseases. In terms of compatibility, SM and CT showed complementary effects on markers of inflammatory and oxidative status, vascular endothelial damage and myocardial energy metabolism. On the other hand, they counteracted each other and SM reduced the side effects of creatinine caused by CT. This study contributes to comprehensively understand the pharmacodynamics effects and mechanism of DHI.