RESUMEN
Background : Prostate cancer is the second most common cancer in the male that affects the health, social and economic life of person. Different compounds such as Wharton's jelly, have been used to treat prostate cancer. Wharton's jelly is a tissue rich in cells with mesenchymal morphology. Wharton's jelly compound inhibited the growth of various cancer cells, including ovarian, osteosarcoma, breast, and prostate cancers, and also reduced the expression of CXCR4 and VLA-4 genes involved in the metastasis process. Materials and Methods: To do this research, Wharton's jelly stem cells and DU145 cancer cell line were cultured. After cell culture, the effect of Wharton's jelly on this cell line was evaluated by scratching and MTT assay. The expression of CXCR4 and VLA-4 genes was also evaluated by Real-time PCR. Results: The results of MTT and Scratching tests showed that Wharton's jelly inhibited the growth of DU145 cancer cells and also decreased the expression level of CXCR4 and VLA-4 genes. Conclusion: The results of this study showed that Wharton's jelly can be considered as an effective compound for decreasing metastasis of prostate cancer.
RESUMEN
Severe acute respiratory syndrome (SARS) is a highly contagious viral respiratory illness. This illness is spurred on by a coronavirus known as SARS-associated coronavirus (SARS-CoV). SARS was first detected in Asia in late February 2003. The genome of this virus is very similar to the SARS-CoV-2. Therefore, the study of SARS-CoV disease and the identification of effective drugs to treat this disease can be new clues for the treatment of SARS-Cov-2. This study aimed to discover novel potential drugs for SARS-CoV disease in order to treating SARS-Cov-2 disease based on a novel systems biology approach. To this end, gene co-expression network analysis was applied. First, the gene co-expression network was reconstructed for 1441 genes, and then two gene modules were discovered as significant modules. Next, a list of miRNAs and transcription factors that target gene co-expression modules' genes were gathered from the valid databases, and two sub-networks formed of transcription factors and miRNAs were established. Afterward, the list of the drugs targeting obtained sub-networks' genes was retrieved from the DGIDb database, and two drug-gene and drug-TF interaction networks were reconstructed. Finally, after conducting different network analyses, we proposed five drugs, including FLUOROURACIL, CISPLATIN, SIROLIMUS, CYCLOPHOSPHAMIDE, and METHYLDOPA, as candidate drugs for SARS-CoV-2 coronavirus treatment. Moreover, ten miRNAs including miR-193b, miR-192, miR-215, miR-34a, miR-16, miR-16, miR-92a, miR-30a, miR-7, and miR-26b were found to be significant miRNAs in treating SARS-CoV-2 coronavirus.