清脆的
选择(遗传算法)
基因传递
遗传增强
计算生物学
癌症治疗
亚基因组mRNA
基因选择
计算机科学
癌症
生物
基因
遗传学
人工智能
微阵列分析技术
基因表达
作者
Sathishbabu Paranthaman,Chinnappa A. Uthaiah,Shadab Md,Huda Mohammed Alkreathy
标识
DOI:10.1016/j.cis.2025.103497
摘要
Cancer is a complicated disease that results from the interplay between specific changes in cellular genetics and diverse microenvironments. The application of high-performance and customizable clustered regularly interspaced palindromic repeats/associated protein (CRISPR/Cas) nuclease systems has significantly enhanced genome editing for accurate cancer modeling and facilitated simultaneous genetic modification for cancer therapy and mutation identification. Achieving an effective CRISPR/Cas platform for cancer treatment depends on the identification, selection, and optimization of specific mutated genes in targeted cancer tissues. However, overcoming the off-target effects, specificity, and immunogenicity are additional challenges that must be addressed while developing a gene editing system for cancer therapy. From this perspective, we briefly covered the pipeline of CRISPR/Cas cancer therapy, identified target genes to optimize gRNAs and sgRNAs, and explored alternative delivery modalities, including viral, non-viral, and extracellular vesicles. In addition, the list of patents and current clinical trials related to this unique cancer therapy method is discussed. In summary, we have discussed comprehensive start-to-end pipeline strategies for CRISPR/Cas development to advance the precision, effectiveness, and safety of clinical applications for cancer therapy.
科研通智能强力驱动
Strongly Powered by AbleSci AI