一种基于辅因子和维生素代谢相关基因的结肠腺癌的新奇预后模型
Qinglin Yang1, Zhouyuan Du1, Haixin Yu1
1Department of Digestive Surgical Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Translational cancer research
|February 12, 2026
概括
一个新的6基因模型使用辅因子和维生素代谢基因预测结肠癌的生存率. 该工具通过识别可能对特定化疗反应的高风险患者,帮助制定个性化治疗策略.
科学领域:
- 在瘤学瘤学.
- 代谢重编程 代谢重编程
- 生物标志物发现发现
背景情况:
- 结肠癌 (COAD) 构成了全球显著的死亡风险,由于缺乏可靠的生物标志物,经常在晚期被诊断出来.
- 代谢重编程,包括辅因子和维生素代谢,在癌症进展中至关重要,但其在COAD的预后价值尚不清楚.
研究的目的:
- 开发和验证使用辅因子和维生素代谢相关基因 (CVMRGs) 的结肠癌新型预后模型.
主要方法:
- 来自TCGA和GEO数据库的转录数据的分析.
- 对214个CVMRG进行查,并确定了10个与预后相关的基因.
- 构建一个6基因风险模型 (DLAT,TH,AK7,ALDH2,ALAD,CYP26A1) 使用LASSO-Cox回归和通过生存分析,CMS相关性,ROC曲线,免疫分析和药物敏感性预测进行验证.
主要成果:
- 六基因风险模型独立预测了高准确度的整体存活率 (OS) (AUC 0.776-0.759) 并与高级TNM阶段相关联.
- 攻击性CMS4亚型的风险得分显著更高,与上皮介质转变 (EMT) 和免疫抑制相关.
- 高风险患者对黄和凝心素表现出敏感性,而低风险患者对regorafenib的反应更好.
结论:
- 基于CVMRGs的COAD新型预后模型能够准确预测存活率和个性化治疗策略.
- 该模型强调了代谢-免疫交叉和化疗反应异质性,为向的代谢疗法和免疫调节提供了一个框架.
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