Publications by authors named "Meiyang Sun"

Breast cancer (BC) is the most common gynecologic tumor worldwide where aberrant expression of microRNAs (miRNAs) is frequently involved. Here, we evaluated the function of miR-375 on BC development and the molecules implicated. Differentially expressed genes between tumor and paired normal tissues from BC patients were screened out by microarray analyses.

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To explore the role of dryocrassin ABBA (ABBA) in the prevention and treatment of Streptococcus pneumoniae (S. pneumoniae) infections in vitro, a minimal inhibitory concentration test, growth curve assay, hemolysis assay, BacLight LIVE/DEAD staining experiments, oligomerization inhibition assay, time-killing test, LDH release detection assay and cytotoxicity test were performed to evaluate the efficacy of ABBA against S. pneumoniae infections in vitro.

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Objective: To investigate the mechanism by which total alkaloids of (TASA) and matrine (MT) impair biofilm to increase the susceptibility of () to ciprofloxacin.

Methods: The minimum biofilm inhibitory concentration (mBIC) was determined using a 2-fold dilution method. Structure of biofilm of was examined by Confocal Laser Scanning Microscope (CLSM).

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Background: Listeria monocytogenes (L. monocytogenes) is a global opportunistic intracellular pathogen that can cause many infections, including meningitis and abortion in humans and animals; thus, L. monocytogenes poses a great threat to public safety and the development of the aquaculture industry.

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Streptococcus suis (S. suis) is one of the most common swine pathogens in the swine industry and leads to great harm to the normal progress of the swine industry. S.

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Objective: The study was designed to construct and validate a nomogram for predicting overall survival (OS) of male breast cancer (MBC) patients with infiltrating duct carcinoma (IDC).

Methods: The cohort was selected from the Surveillance, Epidemiology, and End Results (SEER) database between January 1, 2004 and December 31, 2013. Univariate and multivariate Cox proportional hazard (PH) regression models were performed.

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In the present study, we examined the factors affecting survival of women with inflammatory breast cancer (IBC) and constructed and validated a nomogram to predict overall survival (OS) in these patients. The cohort was selected from the Surveillance, Epidemiology, and End Results (SEER) program between 1 January 2004 and 31 December 2013. Univariate and multivariate Cox proportional hazards regression models were constructed.

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Aim Of Study: The current meta-analysis investigated the correlation between breast cancer type 1 (BRCA1) promoter methylation and the clinicopathological features of breast cancer (BC).

Materials And Methods: An electronic literature search was performed to identify and select cohort studies, by employing stringent inclusion and exclusion criteria, for data relevant to promoter methylation of BRCA1 and BC. Statistical analysis of the extracted data was performed using comprehensive meta-analysis 2.

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