基于与阿诺基斯相关的基因的整合性诺莫格拉姆模型增强了结直肠癌的预后评估
Yuexiao Zhang1, Xia Xue1, Fazhan Li1
1Henan Key Laboratory of Helicobacter Pylori & Microbiota and Gastrointestinal Cancer, Marshall B. J. Medical Research Center, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, PR China.
Heliyon
|July 23, 2024
概括
这项研究确定了与结直肠癌 (CRC) 抗性相关的关键基因,以开发预后模型. 该模型提高了预测CRC患者结果的准确性,有助于临床决策.
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:
- 阿诺基的耐药性在结直肠癌 (CRC) 进展中起着至关重要的作用,影响诊断和治疗策略.
- 了解阿诺基斯耐药性的分子机制对于改善CRC患者的治疗结果至关重要.
- 关键基因与 CRC 中的 anoikis 耐药性相关,需要识别用于预后应用.
研究的目的:
- 为了确定参与结直肠癌 (CRC) 中的耐药性的关键基因.
- 利用这些已识别的基因,建立一种新的CRC预后模型.
- 开发一个用户友好的工具,用于个性化预测CRC患者的风险.
主要方法:
- 差异基因表达和单变Cox分析被用于选CRC相关基因.
- 拉索机器学习算法确定了关键的基因相关基因 (CRC-AKG).
- 构建了一个名ogram预测模型,结合LASSO风险评分和临床预测因素,并使用基于Web的动态工具进行验证.
主要成果:
- 确定了10个CRC-AKG,并计算了预后风险评分.
- 风险评分,TNM阶段和年龄是CRC预后的重要独立风险因素 (p < 0.05).
- 该预后模型通过交互式网络工具展示了高准确度 (3年AUC=0.815) 和强大的概括性,揭示了瘤微环境和风险评分之间的相关性.
结论:
- 这项研究强调了阿诺基斯在CRC中的作用,为临床决策提供了新的见解.
- 开发的预后模型和交互工具提高了CRC风险评估的准确性和实用性.
- 整合临床和测序数据为结直肠癌的个性化预后预测提供了强大的方法.
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