1. Cyclin D1 as a therapeutic target of renal cell carcinoma- a combined transcriptomics, tissue microarray and molecular docking study from the Kingdom of Saudi Arabia
- Author
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Mohammed H. Al-Qahtani, Zeenat Mirza, Ahmad Al-Sayyad, Hend Fakhri NourEldin, Khalid B. Al-Ghamdi, Adel M. Abuzenadah, Sajjad Karim, Hasan M.A. Farsi, Jaudah Al-Maghrabi, Adeel G. Chaudhary, Alaa A. Al-boogmi, Fai T. Ashgan, Hans-Juergen Schulten, Manal M. Shabaad, and Abdelbaset Buhmeida
- Subjects
0301 basic medicine ,Cancer Research ,Microarray ,Therapeutic target ,Saudi Arabia ,urologic and male genital diseases ,Bioinformatics ,Tissue microarray ,Transcriptome ,03 medical and health sciences ,0302 clinical medicine ,Cyclin D1 ,hemic and lymphatic diseases ,Biomarkers, Tumor ,Genetics ,Cluster Analysis ,Humans ,Medicine ,Carcinoma, Renal Cell ,neoplasms ,HEY1 ,business.industry ,Gene Expression Profiling ,Wnt signaling pathway ,Renal cell carcinoma ,Kidney Neoplasms ,female genital diseases and pregnancy complications ,Fold change ,Molecular Docking Simulation ,Gene expression profiling ,030104 developmental biology ,Oncology ,Tissue Array Analysis ,030220 oncology & carcinogenesis ,Molecular docking ,Cancer research ,business ,Research Article - Abstract
Background Renal cell carcinoma (RCC) is a seventh ranked malignancy with poor prognosis. RCC is lethal at metastatic stage as it does not respond to conventional systemic treatments, and there is an urgent need to find out promising novel biomarkers for effective treatment. The goal of this study was to evaluate the biomarkers that can be potential therapeutic target and predict effective inhibitors to treat the metastatic stage of RCC. Methods We conducted transcriptomic profiling to identify differentially expressed genes associated with RCC. Molecular pathway analysis was done to identify the canonical pathways and their role in RCC. Tissue microarrays (TMA) based immunohistochemical stains were used to validate the protein expression of cyclinD1 (CCND1) and were scored semi-quantitatively from 0 to 3+ on the basis of absence or presence of staining intensity in the tumor cell. Statistical analysis determined the association of CCND1 expression with RCC. Molecular docking analyses were performed to check the potential of two natural inhibitors, rutin and curcumin to bind CCND1. Results We detected 1490 significantly expressed genes (1034, upregulated and 456, downregulated) in RCC using cutoff fold change 2 and p value
- Published
- 2016