人工智能增强的JAK-STAT路径变化的分子分析在FOLFOX治疗的早期结肠直肠癌中
Fernando C Diaz1, Brigette Waldrup2, Francisco G Carranza2
1Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27514, USA.
International journal of molecular sciences
|January 10, 2026
概括
早发性结肠直肠癌 (EOCRC) 呈现上升趋势,特别是在西班牙裔/拉丁裔人口中. 根据祖先和治疗方法,JAK-STAT路径的改变有所不同,可能作为预后标志物,特别是在代表性不足的群体中.
科学领域:
- 在瘤学瘤学.
- 遗传学 是一个遗传学.
- 生物信息学是一种生物信息学.
背景情况:
- 早期结直肠癌 (EOCRC) 发病率正在增加,在西班牙裔/拉丁裔 (H/L) 人口中显著增加.
- 在结直肠癌中,JAK-STAT信号轴至关重要,但其在FOLFOX化疗中对EOCRC的作用尚不清楚.
- 识别祖先和治疗特定的生物标志物对于EOCRC管理是紧急的.
研究的目的:
- 研究不同祖先的JAK-STAT通路变化的变异以及EOCRC中对FOLFOX化疗的反应.
- 探索EOCRC和晚期CRC (LOCRC) 中JAK-STAT变化的预后意义.
- 利用人工智能 (AI) 平台,在不同癌症群体中加速发现生物标志物.
主要方法:
- 对2515例结肠直肠癌 (CRC) 病例 (266例H/L;2249例非西班牙裔白人[NHW]) 的分析,按祖先,发病年龄和FOLFOX暴露分层.
- 使用费舍尔精确和千平方测试进行统计比较;通过Kaplan-Meier进行生存分析.
- 部署AI-HOPE和AI-HOPE-JAK-STAT平台,使用自然语言查询进行多参数生物标志物探索.
主要成果:
- 根据祖先和治疗方法,JAK-STAT通路的改变有显著差异,在没有接受FOLFOX的H/L EOCRC患者中得到丰富 (21.2%对4.1%;p=0.003).
- 在没有FOLFOX的NHW LOCRC患者中观察到类似的模式 (13.3%与7.5%相比;p=0.0002).
- 在未经处理的H/L EOCRC和未经处理的NHW EOCRC中,JAK-STAT变化更频繁 (21.2%对比9.9%;p=0.002),并且与几个NHW层的生存率改善相关.
结论:
- 在EOCRC中,JAK-STAT变化可能作为祖先和治疗依赖的预后标志物,特别是在H/L患者中.
- 在H/L小组中,样本规模有限,这凸显了需要进行更大规模的,祖先均衡的研究的需要.
- 人工智能平台可以加速生物标志物发现,并为癌症基因组学中代表性不足的人群推进精准医学.
关键词:
人工智能代理商的人工智能代理在FOLFOX化疗中使用FOLFOX.西班牙裔 / 拉丁裔 / 拉丁裔在JAK-STAT信号通道上.人工智能的人工智能是人工智能.生物标志物 生物标志物结肠直肠癌是什么意思早期发病的结肠直肠癌在健康方面存在差异.这是一种瘤抑制剂.更多相关视频
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