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文章:

人工智能驱动的精准肿瘤学揭示RTK-RAS变异对FOLFOX治疗早发性结直肠癌的预后影响

Prognostic Impact of RTK–RAS Alterations in FOLFOX-Treated Early-Onset Colorectal Cancer Revealed by Artificial Intelligence-Driven Precision Oncology

原文发布日期:13 January 2026

DOI: 10.3390/cancers18020239

类型: Article

开放获取: 是

 

英文摘要:

Background/Objectives: Early-onset colorectal cancer (EOCRC; diagnosed before age 50) is rising at an accelerated rate, with a disproportionate impact on underserved populations. While alterations in the receptor tyrosine kinase–RAS (RTK–RAS) signaling pathway play a fundamental role in colorectal cancer (CRC) biology, their prognostic significance in the setting of FOLFOX chemotherapy—particularly across different age groups and ancestral backgrounds—remains insufficiently characterized. We sought to characterize age-, ancestry-, and treatment-specific associations between RTK–RAS alterations and clinical outcomes using an AI-enabled precision oncology framework. Methods: We analyzed 2515 CRC cases, including 266 Hispanic/Latino (H/L) and 2249 non-Hispanic White (NHW) patients, stratified by age at onset, ancestry, and FOLFOX treatment status. Mutation frequencies were assessed using Fisher’s exact and chi-square tests, while overall survival was analyzed with Kaplan–Meier methods. The AI-HOPE and AI-HOPE–RTK–RAS conversational artificial intelligence platforms were used to integrate clinical, genomic, and treatment data via multi-parameter, natural language–based queries. Results: In early-onset Hispanic/Latino patients, ERBB2 and NF1 mutations occurred at significantly lower frequencies in FOLFOX-treated cases compared with untreated cases (p= 0.01 for both). In late-onset H/L patients, NTRK2 mutations were depleted in FOLFOX-treated tumors (p= 0.04). In untreated early-onset H/L patients, MAPK3 and NF1 mutations were enriched relative to NHW counterparts. Among early-onset NHW patients, IGF1R and ERRFI1 mutations were less frequent with FOLFOX exposure, while multiple RTK–RAS genes were reduced in FOLFOX-treated late-onset NHW patients. Survival analyses revealed worse overall survival in FOLFOX-untreated early-onset NHW patients with RTK–RAS alterations (p= 0.029), but improved survival in FOLFOX-treated late-onset NHW patients (p= 0.048). Conclusions: RTK–RAS pathway alterations demonstrate strong age-, ancestry-, and treatment-specific prognostic effects and may serve as precision biomarkers of differential chemotherapy response. AI-enabled analytics substantially accelerated integrative biomarker discovery, supporting their utility for advancing precision oncology in EOCRC.

 

摘要翻译: 

背景/目的:早发性结直肠癌(EOCRC;诊断年龄小于50岁)正以前所未有的速度增长,并对医疗服务不足的人群造成尤为严重的影响。尽管受体酪氨酸激酶–RAS(RTK–RAS)信号通路的改变在结直肠癌(CRC)的生物学机制中起着基础性作用,但其在FOLFOX化疗方案中的预后意义——特别是在不同年龄组和不同祖先背景的患者中——仍未得到充分阐明。本研究旨在利用人工智能赋能的精准肿瘤学框架,揭示RTK–RAS改变与临床结局之间与年龄、祖先背景及治疗特异性相关的关联。方法:我们分析了2515例结直肠癌病例,包括266例西班牙裔/拉丁裔(H/L)患者和2249例非西班牙裔白人(NHW)患者,并按发病年龄、祖先背景及FOLFOX治疗状态进行分层。使用Fisher精确检验和卡方检验评估突变频率,并使用Kaplan–Meier方法分析总生存期。通过AI-HOPE和AI-HOPE–RTK–RAS对话式人工智能平台,整合临床、基因组和治疗数据,进行基于自然语言的多参数查询。结果:在接受FOLFOX治疗的早发性西班牙裔/拉丁裔患者中,ERBB2和NF1突变的发生频率显著低于未治疗患者(两者p=0.01)。在晚发性H/L患者中,NTRK2突变在接受FOLFOX治疗的肿瘤中显著减少(p=0.04)。在未接受治疗的早发性H/L患者中,MAPK3和NF1突变的发生率高于非西班牙裔白人早发性患者。在早发性NHW患者中,IGF1R和ERRFI1突变在接受FOLFOX治疗后频率降低;而在晚发性NHW患者中,多个RTK–RAS基因在接受FOLFOX治疗后表达减少。生存分析显示,在伴有RTK–RAS改变的未接受FOLFOX治疗的早发性NHW患者中,总生存期更差(p=0.029),但在接受FOLFOX治疗的晚发性NHW患者中生存期有所改善(p=0.048)。结论:RTK–RAS通路改变显示出强烈的年龄、祖先背景及治疗特异性预后效应,并可能作为个体化化疗反应的精准生物标志物。人工智能辅助分析显著加速了整合性生物标志物的发现,支持其在推动EOCRC精准肿瘤学发展中的应用价值。

 

原文链接:

Prognostic Impact of RTK–RAS Alterations in FOLFOX-Treated Early-Onset Colorectal Cancer Revealed by Artificial Intelligence-Driven Precision Oncology

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