计算生物学
癌症
生物
基因组学
蛋白质组学
基因
遗传增强
表观遗传学
靶向治疗
生物信息学
癌症治疗
基因表达
基因组
遗传学
DNA甲基化
作者
Amit Kumar,Swadesh K. Das,Luni Emdad,Paul B. Fisher
出处
期刊:Advances in Cancer Research
日期:2023-01-01
卷期号:: 253-315
被引量:3
标识
DOI:10.1016/bs.acr.2023.03.005
摘要
Current treatment of solid tumors with standard of care chemotherapies, radiation therapy and/or immunotherapies are often limited by severe adverse toxic effects, resulting in a narrow therapeutic index. Cancer gene therapy represents a targeted approach that in principle could significantly reduce undesirable side effects in normal tissues while significantly inhibiting tumor growth and progression. To be effective, this strategy requires a clear understanding of the molecular biology of cancer development and evolution and developing biological vectors that can serve as vehicles to target cancer cells. The advent and fine tuning of omics technologies that permit the collective and spatial recognition of genes (genomics), mRNAs (transcriptomics), proteins (proteomics), metabolites (metabolomics), epiomics (epigenomics, epitranscriptomics, and epiproteomics), and their interactomics in defined complex biological samples provide a roadmap for identifying crucial targets of relevance to the cancer paradigm. Combining these strategies with identified genetic elements that control target gene expression uncovers significant opportunities for developing guided gene-based therapeutics for cancer. The purpose of this review is to overview the current state and potential limitations in developing gene promoter-directed targeted expression of key genes and highlights their potential applications in cancer gene therapy.
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