MiR-93 functions as a tumor promoter in prostate cancer by targeting disabled homolog 2 (DAB2) and an antitumor polysaccharide from green tea (Camellia sinensis) on their expression.

Our previous work has demonstrated that the role of miR-93 in prostate cancer (PC) progression. The aim of this study was to determine the downstream gene regulated by miR-93 and the molecular mechanisms underlying its roles in PC. Bioinformatics analysis and luciferase reporter assays predicted disabled homolog 2 (DAB2) as a direct target gene of miR-93.

Anti-tumor activity and the mechanism of a green tea (Camellia sinensis) polysaccharide on prostate cancer.

In this study, a homogeneous polysaccharide (GTP), with a molecular weight of 7.0 × 10 Da, was isolated from Green tea, which was only composed of glucose. The antitumor effects of GTP on prostate cancer (PC) cell line along with the possible mechanism was examined.

Histone Deacetylase (HDAC) Inhibitor, Suberoylanilide Hydroxamic Acid (SAHA), Induces Apoptosis in Prostate Cancer Cell Lines via the Akt/FOXO3a Signaling Pathway.

BACKGROUND Histone deacetylase (HDAC) inhibitors are emerging as a new class of anti-cancer drugs that promote cancer cell apoptosis, and include suberoylanilide hydroxamic acid (SAHA). The aim of this study was to investigate the mechanism of SAHA-induced apoptosis in human prostate cancer cell lines, DU145 and PC-3. MATERIAL AND METHODS Cell lines, DU145 and PC-3, were studied before and after treatment with SAHA.

[The highly expressed secreted phosphoprotein 1 gene in prostate cancer metastasis: a microarray-based bioinformatic analysis].

Objective: To investigate the composition, function, and regulatory mechanisms of the secreted phosphoprotein 1 (SPP1) gene in metastatic prostate cancer.

Methods: We obtained the data about the whole genomic expression profiles on prostate cancer metastasis from the GEO database, and performed data-mining and bioinformatic analysis using BRB-Array Tools and such softwares as Protparam, MotifScan, SignalP 4.0, TMHMM, NetPhos2.

[Single- and two-layer gradient centrifugation in sperm separation: comparison and appraisal].

Objective: To appraise the effect of single- and two-layer Percoll density gradient centrifugation in sperm separation.

Methods: Twenty semen specimens underwent single-(50%) and two-layer (90% and 45%) density gradient centrifugation, respectively. The sperm class analyzer (SCA) was used to analyze sperm density, motility and dynamic parameters and round cell density before and after the treatment.

[Literature-mining and bioinformatic analysis of androgen-independent prostate cancer-specific genes].

Objective: To compare the differences of the gene expressions in androgen-independent and androgen-dependent prostate cancer (ADPC), gain a deeper insight into the molecular mechanism of androgen-independent prostate cancer (AIPC), and find effective means for its clinical diagnosis and treatment.

Methods: Eats of genes highly-associated with prostate cancer were obtained by mining PubMed with the FACTA tool, and the specifically expressed genes in AIPC were analyzed with a set of bioinformatic tools including GATHER, PANTHER, STRING and ToppGene.

Results: A total of 128 genes specifically expressed in AIPC were identified, as compared with 23 that were specific to ADPC.

[Minute dose of tadalafil for nocturnal penile tumescence].

Objective: To investigate the efficacy of tadalafil on nocturnal penile tumescence (NPT).

Methods: Thirty-four patients with organic erectile dysfunction (ED) were treated with oral tadalafil at the dose of 10 mg/3 d before bedtime. A month later, 14 of the patients were observed for NPT by nocturnal electrobioimpedance volumetric assessment (NEVA).

[Identification of human testicular embryonal carcinoma proteins by two-dimensional gel electrophoresis and mass spectrometry].

Objective: To separate and identify human testicular embryonal carcinoma proteomics using two-dimensional electrophoresis (2-DE) and mass spectrometry.

Methods: Immobilized pH gradient two-dimensional polyacrylamide gel electrophoresis was used to separate the total proteins of the samples. After silver staining, PDQuest 7.

[Mining the specifically expressed genes in sperms based on the bioinformatics methods].

Objective: To analyze the specifically expressed genes in sperms for better understanding of the molecular characteristics of sperms.

Methods: The hybridization data the genes in the sperms, oocytes and 10 normal tissues were retrieved from the GEO database to identify the genes expressed specifically in sperms and the patterns of their regulation using such bioinformatic tools as GATHER, PANTHER and DAVID.

Results And Conclusions: Comparison of the spermatozoal gene expression profiles with those of the normal tissues identified 8998 differentially expressed probes, among which 25 genes were up-regulated by over 200 folds in the sperms.