Predicting New Drug Indications for Prostate Cancer: The Integration of an In Silico Proteochemometric Network Pharmacology Platform with Patient‐Derived Primary Prostate Cells

Researchers integrated a computational proteochemometric systems network pharmacology platform, DrugGenEx‐Net, with primary, continuous cultures of conditionally reprogrammed normal and prostate cancer (PCa) cells derived from treatment‐naive patients with primary PCa.
[Prostate]
Naeem, A., Dakshanamurthy, S., Walthieu, H., Parasido, E., Avantaggiati, M., Tricoli, L., Kumar, D., Lee, R. J., Feldman, A., Noon, M. S., Byers, S., Rodriguez, O., & Albanese, C. (n.d.). Predicting new drug indications for prostate cancer: The integration of an in silico proteochemometric network pharmacology platform with patient-derived primary prostate cells. The Prostate, n/a(n/a). https://doi.org/10.1002/pros.24050 Cite
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MicroRNA-148a-3p Inhibits Progression of Hepatocelluar Carcimoma by Repressing SMAD2 Expression in an Ago2 Dependent Manner

Investigators found that SMAD2 was highly expressed in hepatocellular carcinoma (HCC) and elevated SMAD2 expression predicted shorter overall survival time for HCC patients. SMAD2 promoted mobility and proliferation of HCC cells in vitro.
[Journal of Experimental & Clinical Cancer Research]
Huang, Z., Wen, J., Yu, J., Liao, J., Liu, S., Cai, N., Liang, H., Chen, X., Ding, Z., & Zhang, B. (2020). MicroRNA-148a-3p inhibits progression of hepatocelluar carcimoma by repressing SMAD2 expression in an Ago2 dependent manner. Journal of Experimental & Clinical Cancer Research, 39(1), 150. https://doi.org/10.1186/s13046-020-01649-0 Cite
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An In-Silico Study of Cancer Cell Survival and Spatial Distribution within a 3D Microenvironment

Scientists present SALSA (ScAffoLd SimulAtor), a general purpose computational tool that can simulate the behavior of a population of cells cultured in a 3D scaffold.
[Scientific Reports]
Cortesi, M., Liverani, C., Mercatali, L., Ibrahim, T., & Giordano, E. (2020). An in-silico study of cancer cell survival and spatial distribution within a 3D microenvironment. Scientific Reports, 10(1), 12976. https://doi.org/10.1038/s41598-020-69862-7 Cite
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