Abstract
Recent pan-cancer studies have shown the importance of coupling DNA methylation patterns with transcriptome profiles to reveal tumor subgroups with clinically relevant distinct characteristics. While the coupling patterns remain in most cases matter for further study and/or interpretation, it is emerging that all associations between epigenetic changes and specific cancer histotypes can facilitate the development of novel epidrugs. In particular, together with chemotherapy and chemoprevention of cancer, these epidrugs will target specific enzymes involved in the complex regulation of gene expression. This perspective surveys recent cancer epigenetic findings on target drugs and therapeutic strategies, and focuses on the epigenetic modifications that can reverse a stable differentiated state of adult cell towards neoplastic phenotypes. The relevance of such developments may thus pave the way for patient’s customized personalized therapies.
Keywords: Epigenetic memory, cancer epigenomics, cancer therapy, epi-drugs, precision medicine, translational medicine.
Call for Papers in Thematic Issues
Artificial Intelligence in Bioinformatics
Bioinformatics is an interdisciplinary field that analyzes and explores biological data. This field combines biology and information system. Artificial Intelligence (AI) has attracted great attention as it tries to replicate human intelligence. It has become common technology for analyzing and solving complex data and problems and encompasses sub-fields of machine ...read more
Latest Advancements in Biotherapeutics.
The scope of this thematic issue is to comprehensively explore the rapidly evolving landscape of biotherapeutics, emphasizing breakthroughs in precision medicine. Encompassing diverse therapeutic modalities, the issue will delve into the latest developments in monoclonal antibodies, CRISPR/Cas gene editing, CAR-T cell therapies, and innovative drug delivery systems, such as nanoparticle-based ...read more
Machine Learning and Artificial Intelligence for Medical Data Analysis and Human Information Analysis in Healthcare
The intersection of machine learning (ML) and artificial intelligence (AI) with the pharmaceutical industry is revolutionizing traditional paradigms in drug discovery and development. These technologies have introduced innovative approaches to analyzing complex datasets and predicting chemical properties, leading to more efficient identification and optimization of drug candidates. By employing sophisticated ...read more
Related Journals
Anti-Cancer Agents in Medicinal Chemistry
Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry
Current Bioactive Compounds
Current Cancer Drug Targets
Combinatorial Chemistry & High Throughput Screening
Current Cancer Therapy Reviews
Current Diabetes Reviews
Current Drug Safety
Current Drug Targets
Current Drug Therapy
Related Books
Anthocyanins: Pharmacology and Nutraceutical Importance
Computer-Aided Drug Discovery Methods: A Brief Introduction
The Roles and Responsibilities of Clinical Pharmacists in Hospital Settings
Bioactive Compounds from Medicinal Plants for Cancer Therapy and Chemoprevention
Opportunities for Biotechnology Research and Entrepreneurship
Drug Addiction Mechanisms in the Brain
Software and Programming Tools in Pharmaceutical Research
Objective Pharmaceutics: A Comprehensive Compilation of Questions and Answers for Pharmaceutics Exam Prep
Medicinal Chemistry of Drugs Affecting Cardiovascular and Endocrine Systems
Research Methodology and Project Management in Biotechnology
51
5
2
1