查microRNAs作为肺腺癌的潜在预后生物标志物
Hongshuang Dai1, Lin Li2, Yikun Yang3
1State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center; National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Annals of medicine
|November 6, 2023
概括
研究人员确定了与肺腺癌 (LUAD) 预后相关的特定微RNA (miRNA). 使用这些miRNA的预测模型在预测患者结果方面表现出很好的准确性.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 遗传学 遗传学 是一个
背景情况:
- 肺腺癌 (LUAD) 是全球癌症相关死亡的主要原因之一.
- 准确的预后标记对于在LUAD患者中定制治疗策略至关重要.
研究的目的:
- 为了识别与LUAD预后相关的微RNAs (miRNAs).
- 使用已识别的miRNAs开发一个用于LUAD患者预后的预测模型.
主要方法:
- 在160个LUAD患者样本中使用基因芯片技术对miRNA的查.
- 使用RT-PCR和生存分析验证选择的miRNAs.
- 使用考克斯回归和卡普兰-梅尔曲线构建和评估预后预测模型.
主要成果:
- 发现一些miRNAs在早期复发和转移群体中被差异表达.
- 在早期复发和转移的患者中,miR-21-3p的表达显着更高 (p=0.02).
- 构建的预后模型与实际患者预后有很好的一致性 (Kappa=0.426,p<0.001),准确率为71.3%.
结论:
- 与LUAD预后相关的特定miRNAs被确定并验证.
- 开发了一种新的风险模型,用于预测LUAD患者的预后.
- 该模型与实际患者结果具有可靠的一致性,有助于临床决策.
相关概念视频
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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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