机器学习衍生的AS和AIS分数利用BCAA代谢和IL4I1活性用于预后和ccRCC中的量身定制治疗
Kang Qiang Weng1, Xin Li1, Xiao Bao Chen1
1Department of Urology, Fujian Medical University Union Hospital, Fuzhou, China.
Frontiers in cell and developmental biology
|March 13, 2026
概括
分支链氨基酸代谢影响清细胞细胞癌 (ccRCC) 的进展. 新的分数 (AS和AIS) 有助于个性化治疗,而IL4I1则成为潜在的治疗目标.
科学领域:
- 在瘤学瘤学.
- 代谢学 代谢学 代谢学
- 生物信息学是一种生物信息学.
背景情况:
- 细胞癌 (RCC),特别是清细胞ccRCC (ccRCC),是一个重大的全球健康挑战,晚期预后不佳.
- 晚期cccRCC的5年生存率仍然非常低,这强调了需要改进治疗策略的必要性.
研究的目的:
- 研究分支链氨基酸代谢在ccRCC进展和治疗反应中的作用.
- 开发ccRCC中患者分层和个性化治疗的新型预测得分.
- 探索在ccRCC病变发生过程中IL4I1的功能和分子相互作用.
主要方法:
- 使用单细胞数据分析和机器学习算法 (10种类型) 来创建氨基酸签名 (AS) 评分.
- 应用主要成分分析来开发氨基酸个性化签名 (AIS) 评分,以提供个性化治疗指导.
- 空间转录组学和单细胞多组学被用来研究IL4I1相互作用和调节机制.
主要成果:
- 分支链氨基酸代谢显著影响ccRCC的进展和治疗结果.
- AS评分有效地根据临床特征和药物敏感性区分ccRCC患者亚组.
- AIS评分在指导二线和免疫疗法方面具有实用性,特别是在向治疗失败时.
- 升高的IL4I1表达通过增强分支链氨基酸降解来促进ccRCC的生长和转移.
- VHL突变可能通过Hif-1a和SFMBT1上调IL4I1表达,加剧瘤进展.
结论:
- 分支链氨基酸代谢和IL4I1是ccRCC进展的关键因素.
- AS分类和AIS分数为个性化的ccRCC治疗策略提供了一个框架.
- IL4I1代表了提高ccRCC治疗疗效的有希望的治疗标.
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