Abstract
Oncolytic virotherapy with mutants derived from Herpes simplex virus (HSV) type 1 exhibit significant antitumor effects in preclinical models. Several mutants have now been tested in clinical trials for a variety of cancer types, and all have been found to be safe. While there have been hints of antitumor efficacy with prolonged survival in some cases compared with historical controls, dramatic responses have been elusive. We review the clinical experience published to date and discuss some of the biologic factors that may be limiting for virus infection and spread, as well as new strategies currently under development to enhance antitumor efficacy.
Keywords: Herpes simplex virus, oncolytic viruses, tumor microenvironment, angiogenesis, extracellular matrix, cytokines, immune response
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
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