与原相关的基因表达水平预测了预后和免疫治疗反应
Jianchao Wang1, Zhentian Liu2, Liyan Lin1
1Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
概括
胃癌的预后因缺乏生物标志物而有所不同. 一个新的原评分 (CS) 可以预测患者的治疗结果和免疫治疗反应,帮助开发有针对性的治疗方法.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 胃癌患者对治疗和预后的反应不同.
- 缺乏可靠的生物标志物阻碍了胃癌的个性化治疗选择.
研究的目的:
- 确定用于预测胃癌预后和治疗反应的新生物标志物.
- 评估与原相关的基因表达作为预测因素的实用性.
主要方法:
- 分析了来自103名胃癌患者的RNA测序数据.
- 用于集群分析的非负矩阵因子化.
- 原分数 (CS) 用ssGSEA计算,并在独立的队列 (TCGA,ACRG,免疫疗法) 中验证.
主要成果:
- 集群分析揭示了不同的瘤透状态.
- 与原相关的途径在集群之间被差异地激活.
- 在TCGA和ACRG队列中,CS独立预测了整体存活率 (p<0.05).
- 在免疫治疗中,更高的CS与更差的客观响应率 (ORR) 相相关 (p=0.0025).
- 高CS与抑制的细胞死亡途径和较差的瘤微环境有关.
结论:
- 原分数 (CS) 是胃癌的经过验证的独立预后因素.
- CS可能反映免疫疗法的有效性,并识别出患有较差瘤微环境的患者.
- CS为临床预后评估提供了一种新的方法,并指导开发原向疗法.
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