开发一种基于血管生成相关的lncRNAs的风险评分模型,用于结肠腺癌的预后预测
Xianguo Li1, Junping Lei2, Yongping Shi1
1Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.
Current medicinal chemistry
|November 14, 2023
概括
这项研究确定了结肠腺癌 (COAD) 中关键的血管生成相关的长非编码RNA (lncRNAs),以创建预后风险评分模型. 该模型预测患者的生存率,并指导治疗策略,提供COAD病变的洞察力.
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:
- 长非编码RNAs (lncRNAs) 在瘤进展和预后中发挥调节作用.
- 血管新生相关的lncRNAs在结肠腺癌 (COAD) 的特定参与仍未得到充分研究.
研究的目的:
- 在COAD中识别关键的血管生成相关的lncRNA.
- 开发一个风险评分模型来预测COAD患者的生存率.
- 提供 COAD 病原体的洞察力,并优化临床治疗策略.
主要方法:
- 使用了癌症基因组图谱 (TCGA) 和基因表达总汇 (GEO) 数据库.
- 采用单个样本基因组丰富分析 (ssGSEA) 进行途径评分和ConsensusClusterPlus用于基于lncRNA的亚型分类.
- 使用单变Cox,LASSO和逐步回归分析构建了一个风险评分模型,并使用Kaplan-Meier和时间依赖ROC曲线进行验证.
主要成果:
- 血管新生被确定为COAD的预后风险因素.
- 确定了三种分子亚型 (S1,S2,S3),其中S3的预后较差,免疫特征明显.
- 开发了一个8-lncRNA风险评分模型,预测存活率,免疫疗法反应和化疗敏感性,并提供了临床应用的诺姆图.
结论:
- 一个基于血管生成相关的lncRNAs的新型风险评分模型可以预测COAD预后.
- 这种模型可以指导抗血管原性治疗干预措施,并改善COAD治疗策略.
- 这些发现有助于更好地了解COAD和个性化治疗方法.
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