相关实验视频

Updated: Jun 6, 2025

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

与衰老相关的LncRNAs:卵巢癌结果的开创性指标

Shao-Bei Fan¹, Xiao-Feng Xie¹, Wang Wei²

¹Department of Gynecology, Affiliated Xingtai People Hospital of Hebei Medical University, 16 Hongxing Road, Xingtai, Hebei 054001 People's Republic of China.

Phenomics (Cham, Switzerland)

|November 25, 2024

概括

这项研究确定了与衰老相关的长非编码RNA (SnRlncRNAs) 作为卵巢癌 (OC) 的关键预后生物标志物. 开发的风险特征为患者的结果和治疗反应提供了卓越的预测准确性.

科学领域:

妇科瘤学妇科瘤学
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:

卵巢癌 (OC) 是最致命的妇科恶性瘤,需要改进的预后工具.
长非编码RNAs (lncRNAs),特别是与衰老相关的lncRNAs (SnRlncRNAs),在OC进展和预后中发挥着关键作用.

研究的目的:

为了识别和验证SnRlncRNAs作为卵巢癌的预后生物标志物.
开发一个强大的风险特征来预测OC患者的结果和治疗反应.

主要方法:

使用GTEx和TCGA数据集来识别SnRlncRNAs.
使用共同表达,差异表达,考克斯回归和LASSO构建了一个风险特征.
使用依赖时间的ROC,多变量考克斯回归和ICGC数据验证了签名.
进行了GSEA和共识聚类,用于途径和子组分析.

主要成果:

一个经过验证的风险标志显示出强大的预测准确性,超过了传统的临床指标 (阶段,等级).
低风险患者表现出增加的免疫透和差异性的药物敏感性.
共识聚类确定了四个不同的患者子组,根据17个SnRlncRNAs的不同生存率.

结论:

开发的基于SnRlncRNA的风险特征是卵巢癌的可靠预后工具.
这些生物标志物为改善临床决策,风险分层和预测抗癌疗法的反应提供了潜力.

关键词:

生物信息学是一种生物信息学.集群集群是一个集群集群.长长的非编码RNAs.卵巢癌是发生在卵巢中的癌症.衰老是一种衰老.

更多相关视频

In vitro Enrichment of Ovarian Cancer Tumor-initiating Cells

In vitro Enrichment of Ovarian Cancer Tumor-initiating Cells

Published on: February 18, 2015

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence

Published on: November 2, 2014

相关概念视频

lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

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...

Non-LTR Retrotransposons

Non-LTR Retrotransposons

As the name suggests, non-LTR retrotransposons lack the long terminal repeats characteristic of the LTR retrotransposons. Additionally, both LTR and non-LTR retrotransposons use distinct mechanisms of mobilization. Non-LTR retrotransposons are further divided into two classes - Long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs), both of which occur abundantly in most mammals, including humans. Some of the active non-LTR retrotransposons in humans are L1...