精密医学
DNA测序
仿形(计算机编程)
计算生物学
医学
精确肿瘤学
肿瘤科
个性化医疗
靶向治疗
免疫疗法
生物信息学
内科学
生物
计算机科学
基因
癌症
遗传学
操作系统
作者
Xinran Tang,Michael F. Berger,David B. Solit
标识
DOI:10.1016/j.trecan.2024.06.009
摘要
Genomic profiling of hundreds of cancer-associated genes is now a component of routine cancer care. DNA sequencing can identify mutations, mutational signatures, and structural alterations predictive of therapy response and assess for heritable cancer risk, but it has been less useful for identifying predictive biomarkers of sensitivity to cytotoxic chemotherapies, antibody drug conjugates, and immunotherapies. The clinical adoption of molecular profiling platforms such as RNA sequencing better suited to identifying those patients most likely to respond to immunotherapies and drug combinations will be critical to expanding the benefits of precision oncology. This review discusses the potential advantages of innovative molecular and functional profiling platforms designed to replace or complement targeted DNA sequencing and the major hurdles to their clinical adoption.
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