Abstract
Non-coding microRNAs are involved in multiple regulatory mechanisms underlying response of cancer cells to stress leading to apoptosis, cell cycle arrest and autophagy. Many molecular layers are implicated in such cellular response including epigenetic regulation of transcription, RNA processing, metabolism, signaling. The molecular interrelationship between tumor protein (TP)-p53 family members and specific microRNAs is a key functional network supporting tumor cell response to chemotherapy and potentially playing a decisive role in chemoresistance of human epithelial cancers. TP63 was shown to modulate the expression of numerous microRNAs involved in regulation of epithelial cell proliferation, differentiation, senescence, “stemness” and skin maintenance, epithelial/ mesenchymal transition, and tumorigenesis in several types of epithelial cancers (e.g. squamous cell carcinoma, ovarian carcinoma, prostate carcinoma, gastric cancer, bladder cancer, and breast tumors), as well as in chemoresistance of cancer cells. TP63/microRNA network was shown to be involved in cell cycle arrest, apoptosis, autophagy, metabolism and epigenetic transcriptional regulation, thereby providing the groundwork for novel chemotherapeutic venues.
Keywords: Apoptosis, Autophagy, Cell cycle arrest, Cell metabolism, Chemoresistance, Epigenetics, microRNA, TP63.
Current Genomics
Title:Tumor Protein p63/microRNA Network in Epithelial Cancer Cells
Volume: 14 Issue: 7
Author(s): Edward A. Ratovitski
Affiliation:
Keywords: Apoptosis, Autophagy, Cell cycle arrest, Cell metabolism, Chemoresistance, Epigenetics, microRNA, TP63.
Abstract: Non-coding microRNAs are involved in multiple regulatory mechanisms underlying response of cancer cells to stress leading to apoptosis, cell cycle arrest and autophagy. Many molecular layers are implicated in such cellular response including epigenetic regulation of transcription, RNA processing, metabolism, signaling. The molecular interrelationship between tumor protein (TP)-p53 family members and specific microRNAs is a key functional network supporting tumor cell response to chemotherapy and potentially playing a decisive role in chemoresistance of human epithelial cancers. TP63 was shown to modulate the expression of numerous microRNAs involved in regulation of epithelial cell proliferation, differentiation, senescence, “stemness” and skin maintenance, epithelial/ mesenchymal transition, and tumorigenesis in several types of epithelial cancers (e.g. squamous cell carcinoma, ovarian carcinoma, prostate carcinoma, gastric cancer, bladder cancer, and breast tumors), as well as in chemoresistance of cancer cells. TP63/microRNA network was shown to be involved in cell cycle arrest, apoptosis, autophagy, metabolism and epigenetic transcriptional regulation, thereby providing the groundwork for novel chemotherapeutic venues.
Export Options
About this article
Cite this article as:
Ratovitski A. Edward, Tumor Protein p63/microRNA Network in Epithelial Cancer Cells, Current Genomics 2013; 14 (7) . https://dx.doi.org/10.2174/13892029113146660011
DOI https://dx.doi.org/10.2174/13892029113146660011 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
Call for Papers in Thematic Issues
Advanced AI Techniques in Big Genomic Data Analysis
The thematic issue on "Advanced AI Techniques in Big Genomic Data Analysis" aims to explore the cutting-edge methodologies and applications of artificial intelligence (AI) in the realm of genomic research, where vast amounts of data pose both challenges and opportunities. This issue will cover a broad spectrum of AI-driven strategies, ...read more
Emerging Molecular Mechanisms in Rare Genetic Skeletal Disorders: Linking Genomic Mutations to Clinical Outcomes.
Rare genetic skeletal disorders encompass a diverse group of conditions that impact bone and cartilage development, often due to pathogenic mutations in critical developmental genes. This thematic issue aims to explore the intricate molecular mechanisms underlying these disorders, providing insights into how specific genomic mutations translate into clinical phenotypes. Recent ...read more
Genomic Insights into Oncology: Harnessing Machine Learning for Breakthroughs in Cancer Genomics.
This special issue aims to explore the cutting-edge intersection of genomics and oncology, with a strong emphasis on original data and experimental validation. While maintaining the focus on how machine learning and advanced data analysis techniques are revolutionizing our understanding and treatment of cancer, this issue will prioritize contributions that ...read more
Integrating Artificial Intelligence and Omics Approaches in Complex Diseases
Recent advancements in AI and omics methodologies have revolutionized the landscape of biomedical research, enabling us to extract valuable information from vast amounts of complex data. By combining AI algorithms with omics technologies such as genomics, proteomics, metabolomics, and transcriptomics, researchers can obtain a more comprehensive and multi-dimensional analysis of ...read more
Related Journals

- Author Guidelines
- Bentham Author Support Services (BASS)
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Evaluation of the Oxidative Stress Level and Serum Prolidase Activity in Patients with Sleep Bruxism
Combinatorial Chemistry & High Throughput Screening Dinuclear Berenil-Platinum (II) Complexes as Modulators of Apoptosis in Human MCF-7 and MDA-MB231 Breast Cancer Cells
Anti-Cancer Agents in Medicinal Chemistry In-Situ Hybridization as a Molecular Tool in Cancer Diagnosis and Treatment
Current Medicinal Chemistry Development of Anticancer Agents from Plant-Derived Sesquiterpene Lactones
Current Medicinal Chemistry Therapeutic Targeting of Apoptotic Pathways in Cancer
Current Drug Targets New Insights into the Long Non-coding RNAs Dependent Modulation of Heart Failure and Cardiac Hypertrophy: From Molecular Function to Diagnosis and Treatment
Current Medicinal Chemistry Immunomodulatory Roles of VIP and PACAP in Models of Multiple Sclerosis
Current Pharmaceutical Design Nanotechnological Systems and Lung: A Perfect Combination for Lung Pharmaceutical Applications
Current Medicinal Chemistry Vitamin D and miRNAs in Cancer
Current Gene Therapy Understanding the Interaction Between Human Serum Albumin and Anti-Bacterial/ Anti-Cancer Compounds
Current Pharmaceutical Design The Pharmacogenomics “Side-effect” of TP53/EGFR in Non-small Cell Lung Cancer Accompanied with Atorvastatin Therapy: A Functional Network Analysis
Anti-Cancer Agents in Medicinal Chemistry Curcumin: A Natural Product for Diabetes and its Complications
Current Topics in Medicinal Chemistry Insights Into Effects of Ellagic Acid on the Nervous System: A Mini Review
Current Pharmaceutical Design Antioxidant Supplements, Genetics and Chemotherapy Outcomes
Current Cancer Therapy Reviews Understanding Plastid Vesicle Transport – Could it Provide Benefit for Human Medicine?
Mini-Reviews in Medicinal Chemistry New Features in the Treatment of Androgen-Independent Prostate Cancer
Current Pharmaceutical Design Targeted Alpha Therapy with 227Th-trastuzumab of Intraperitoneal Ovarian Cancer in Nude Mice
Current Radiopharmaceuticals Overview of Prostate Biomarkers as Potential Targets for Immunotherapy
Current Cancer Therapy Reviews The Epidemiological, Mechanistic and Potential Clinical Role of Androgen Receptor (AR) in Urothelial Carcinoma
Current Drug Targets Benzamides as Melanotropic Carriers for Radioisotopes, Metals, Cytotoxic Agents and as Enzyme Inhibitors
Current Medicinal Chemistry