scholarly journals In silico analysis of biomarker potentials of miRNA-mediated ceRNAs in prostate cancer

2018 ◽  
pp. 415-429
Author(s):  
Sercan Ergün
Keyword(s):  
Prostate Cancer ◽  
In Silico ◽  
In Silico Analysis ◽  
Silico Analysis

In silico analysis of non-synonymous single nucleotide polymorphism in a human KLK-2 gene associated with prostate cancer

Meta Gene ◽  
2019 ◽  
Vol 21 ◽  
pp. 100578
Author(s):  
Tooba Yousefi ◽  
Seyed Mostafa Mir ◽  
Jahanbakhsh Asadi ◽  
Mehdi Tourani ◽  
Ansar Karimian ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Single Nucleotide Polymorphism ◽  
In Silico ◽  
In Silico Analysis ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Silico Analysis

In silico analysis and DHPLC screening strategy identifies novel apoptotic gene targets of aberrant promoter hypermethylation in prostate cancer

The Prostate ◽  
2010 ◽  
Vol 71 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Therese M. Murphy ◽  
Linda Sullivan ◽  
Caroline Lane ◽  
Lisa O'Connor ◽  
Ciara Barrett ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
In Silico ◽  
In Silico Analysis ◽  
Promoter Hypermethylation ◽  
Screening Strategy ◽  
Apoptotic Gene ◽  
Silico Analysis

scholarly journals Proapoptosis Effect of Root of Eurycoma longifolia (Pasak Bumi) on the Prostate Cancer: In Silico Analysis

2020 ◽  
Vol 20 ◽  
pp. 03003
Author(s):  
Eka Yudha Rahman ◽  
Mulyohadi Ali ◽  
Basuki Bambang Purnomo ◽  
Nia Kania
Keyword(s):  
Prostate Cancer ◽  
In Silico ◽  
Caspase 3 ◽  
In Silico Analysis ◽  
Data Bank ◽  
Active Ingredients ◽  
Caspase 9 ◽  
Active Compounds ◽  
Eurycoma Longifolia ◽  
Silico Analysis

This study aimed to predict the proapoptosis effect of E. longifolia active compounds on prostate cancer by in silico analysis. Protein data such as BCL-2 (GI: 2506216), Caspase 3 (GI: 6978605), Caspase 8(GI: 11560103), data quassinoid (ID: 5459060 and chantin (ID: 97176) were collected from GenBank of NCBI. Protein BCL-2 collected from NCBI compare with Protein Data Bank (PDB) and UNIPROT. The docking process was carried out using software HEX 8.0. to compute the binding affinity between ligands (active compounds of Pasak Bumi) and protein target. The interaction between quassinoid and chantin was strongest and stable against caspase-9, indicating that the active ingredient in E. longifolia triggered caspase-9 activity after activation of BH3 domains in Bcl-2 in prostate cancer. The low energy binding between quassinoid and chantin with caspase-3 indicates the interaction between the active ingredients is not strong with caspase-3. E. longifolia active ingredients that are potentially used in the treatment of prostate cancer are quassinoid and chantin by inducing apoptotic mechanisms via both extrinsic and intrinsic pathways. The combination of active ingredients of E. longifolia that is quassinoid and chantin can be used as a strategy of prostate cancer therapy both through extrinsic and intrinsic pathways.

scholarly journals Molecular Mechanism Underlying Hesperetin-induced Apoptosis by in silico Analysis and in Prostate Cancer PC-3 Cells

2013 ◽  
Vol 14 (7) ◽  
pp. 4347-4352 ◽  
Author(s):  
Shanmugam Sambantham ◽  
Mahendran Radha ◽  
Arumugam Paramasivam ◽  
Balakrishnan Anandan ◽  
Ragunathan Malathi ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Molecular Mechanism ◽  
In Silico ◽  
In Silico Analysis ◽  
Induced Apoptosis ◽  
Silico Analysis

In silico analysis of the deleterious nsSNPs (missense) in the homeobox domain of humanHOXB13gene responsible for hereditary prostate cancer

2017 ◽  
Vol 90 (2) ◽  
pp. 188-199 ◽  
Author(s):  
Gopalakrishnan Chandrasekaran ◽  
Eu Chang Hwang ◽  
Taek Won Kang ◽  
Dong Deuk Kwon ◽  
Kwangsung Park ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
In Silico ◽  
In Silico Analysis ◽  
Hereditary Prostate Cancer ◽  
Silico Analysis

scholarly journals A Comparative in Silico Analysis of CD24’s Prognostic Value in Human and Canine Prostate Cancer

2021 ◽  
Vol 11 (3) ◽  
pp. 232
Author(s):  
Antonio Fernando Leis-Filho ◽  
Patrícia de Faria Lainetti ◽  
Mayara Simão Franzoni ◽  
Chiara Palmieri ◽  
Priscila Emiko Kobayshi ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
In Silico ◽  
Prognostic Value ◽  
Prognostic Significance ◽  
Phosphatidyl Inositol ◽  
In Silico Analysis ◽  
The Cancer Genome Atlas ◽  
Preclinical Model ◽  
Cell Surface Molecule ◽  
Silico Analysis

CD24 is a cell surface molecule anchored by glycosyl-phosphatidyl-inositol and expressed by different human cancers, including prostate cancer (PC). Some studies have demonstrated that CD24 expression is associated with poor patient outcome; however, few studies have investigated CD24 expression in spontaneous animal models of human PC, such as canine PC. This study aimed to evaluate the expression of CD24 in human PC using the in silico analysis of the data obtained from The Cancer Genome Atlas (TCGA) and comparing it with the previously published prostatic canine transcriptome data. In addition, CD24 expression was confirmed by immunohistochemistry in an independent cohort of canine prostatic samples and its prognostic significance assessed. The systematic review identified 10 publications fitting with the inclusion criteria of this study. Of the 10 manuscripts, 5 demonstrated a direct correlation between CD24 overexpression and patient prognoses. CD24 expression was also associated with PSA relapse (2/5) and tumor progression (1/5). However, the in silico analysis did not validate CD24 as a prognostic factor of human PC. Regarding canine PC, 10 out of 30 normal prostates and 27 out of 40 PC samples were positive for CD24. As in humans, there was no association with overall survival. Overall, our results demonstrated a significant CD24 overexpression in human and canine prostate cancer, although its prognostic value may be questionable. However, tumors overexpressing CD24 may be a reliable model for new target therapies and dogs could be used of a unique preclinical model for these studies.

A systematic review with in silico analysis on transcriptomic profile of gallbladder carcinoma

2020 ◽  
Vol 47 (6) ◽  
pp. 398-408
Author(s):  
Sonam Tulsyan ◽  
Showket Hussain ◽  
Balraj Mittal ◽  
Sundeep Singh Saluja ◽  
Pranay Tanwar ◽  
...  
Keyword(s):  
Systematic Review ◽  
Gallbladder Carcinoma ◽  
In Silico ◽  
In Silico Analysis ◽  
Transcriptomic Profile ◽  
Silico Analysis
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