ArticleAvicenna journal of medical biotechnology
Identification of Critical Molecular Factors and Side Effects Underlying the Response to Thalicthuberine in Prostate Cancer: A Systems Biology Approach.
Article in Avicenna journal of medical biotechnology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Expression of DDSR1 Long Non-Coding RNA and Genes Involved in the DNA Damage Response in Sperm with DNA Fragmentation.Reproductive sciences (Thousand Oaks, Calif.) · 2024Article
- Technetium-99m-methylene diphosphonate single photon emission computed tomography/computed tomography combined with prostate-specific antigen/free prostate-specific antigen ratio for bone metastasis of prostate cancer.World journal of clinical cases · 2024Article
- Transcriptome analysis revealed differences in gene expression in sheep muscle tissue at different developmental stages.BMC genomic data · 2024Article
- Deciphering the similarities and disparities of molecular mechanisms behind respiratory epithelium response to HCoV-229E and SARS-CoV-2 and drug repurposing, a systems biology approach.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024Article
- Identification of Renal Transplantation Rejection Biomarkers in Blood Using the Systems Biology Approach.Iranian biomedical journal · 2023Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Uncontrolled mitosis of cancer cells and resistance cells to chemotherapy drugs are the challenges of prostate cancer. Thalicthuberine causes a mitotic arrest and a reduction of the effects of drug resistance, resulting in cell death. In this study, we applied bioinformatics and computational biology methods to identify functional pathways and side effects in response to Thalicthuberine in prostate cancer patients. Methods: Microarray data were retrieved from Results: The Conclusion: Our model suggested newly predicted crucial genes, molecular mechanisms, and possible side effects of this drug. However, further studies are required.
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