Cancer Discov. 2021 Jul;11(7):OF2. doi: 10.1158/2159-8290.CD-NB2021-0350. Epub 2021 May 28.
Researchers used transcriptome analysis to predict patients' responses to treatments with 80% accuracy on average. The procedure relies on identifying pairs of interacting genes that are lethal to cells when both are inactivated or that enable tumors to evade treatments. The scientists showed that their approach accurately predicts patient responses to targeted therapies and checkpoint inhibitors for a variety of cancers.
研究人员使用转录组分析，平均以80%的准确率预测患者对治疗的反应。该程序依赖于识别相互作用的基因对，当这两个基因都失活时对细胞是致命的，或者使肿瘤能够逃避治疗。科学家们表明，他们的方法能够准确预测多种癌症患者对靶向治疗和检查点抑制剂的反应。
