下一代测序的预测价值,用于将晚期肝细胞癌患者与向免疫治疗和免疫治疗相匹配
Jiajia Du1, Erlei Zhang1, Zhiyong Huang1
1Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Frontiers in immunology
|April 26, 2024
概括
这项研究确定了包括PD-L1,TMB,TERT和TP53在内的关键生物标志物,以预测晚期肝细胞癌 (aHCC) 治疗反应. 这些发现有助于选择个性化向和免疫疗法,以获得更好的患者结果.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 免疫治疗是一种免疫疗法.
背景情况:
- 晚期肝细胞癌 (aHCC) 治疗格局随着向和免疫治疗的演变而变化.
- 需要预测性生物标志物来指导aHCC的第一线治疗选择.
研究的目的:
- 在晚期肝细胞癌中确定针对性和免疫治疗的预测和预后生物标志物.
- 开发个性化治疗策略的预后模型.
主要方法:
- 在127个aHCC患者样本上使用680基因下一代测序 (NGS) 进行基因组分析.
- 通过免疫组织化学评估PD-L1表达的评估.
- 开发一个包含遗传资料和临床数据的预后指数模型.
主要成果:
- PD-L1表达,瘤突变负担 (TMB),TERT突变和TP53野生型状态是整体存活 (OS) 的独立预后因素.
- 一个预后诺莫图显示出高准确度 (AUC 0.91-0.98) 预测1至3年的生存期.
- 与其他治疗相比,阿特佐利祖马布和贝瓦齐祖马布在高危人群中改善了生存状况.
结论:
- 使用PD-L1,TMB,TERT和TP53的预后模型可以识别aHCC患者可能受益于向和免疫治疗.
- 该模型支持个性化治疗方法,以改善aHCC患者的治疗结果.
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