相关实验视频

Updated: Jun 4, 2025

Isolation of High-density Lipoproteins for Non-coding Small RNA Quantification

Isolation of High-density Lipoproteins for Non-coding Small RNA Quantification

Published on: November 28, 2016

综合性脂组学和RNA-seq揭示了在分化良好的和分化不良的逆皮质脂肪肉瘤中的预后生物标志物

Xiaopeng Wang¹, Jingjing Ye², Yan Wu³

¹Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Hepato-Pancreato-Biliary Surgery, Peking University Cancer Hospital & Institute, Beijing, 100142, P. R. China.

Cancer cell international

|December 19, 2024

概括

这项研究揭示了 retroperitoneal liposarcoma (RLPS) 亚型中明显的脂质代谢和基因表达,识别了用于诊断和预后的潜在生物标志物,用于区分良好的 (WDLPS) 和不区分的 (DDLPS) 脂质瘤.

科学领域:

在瘤学瘤学.
分子生物学分子生物学
生物化学生物化学

背景情况:

逆皮质脂肪瘤 (RLPS) 包含了诸如良好分化的脂肪瘤 (WDLPS) 和不分化的脂肪瘤 (DDLPS) 等亚型,它们在行为和预后上有所不同.
区分这些RLPS亚型的精确代谢和基因组特征在很大程度上仍未被描述.

研究的目的:

调查WDLPS和DDLPS的独特脂质组和转录组特征.
确定潜在的分子生物标志物,以区分RLPS亚型并预测患者的结果.

主要方法:

在19名WDLPS和29名DDLPS患者的RLPS组织样本上进行了脂质和RNA测序分析.
关键基因的蛋白质表达 (TIMP1,FN1,MMP11,GPNMB,ECM1) 通过西班牙斑块和免疫组织化学验证.
血清蛋白水平通过ELISA对128名RLPS患者进行评估,多变量分析将标记与整体存活率 (OS) 和无复发存活率 (RFS) 相关联.

主要成果:

在WDLPS和DDLPS之间观察到脂质代谢,特别是脂胆和三糖的显著差异.
RNA-seq鉴定了1630个差异表达的基因,这些基因在脂质代谢,发育和细胞外基质途径中丰富.
一个五个基因的签名 (TIMP1,FN1,MMP11,GPNMB,ECM1) 显示了高的诊断准确度 (AUC=0.904). 增加的ECM1和GPNMB血清水平与相应的较差RFS和OS相关.

结论:

显著的脂质代谢和转录途径区分了WDLPS和DDLPS.
血清中ECM1和GPNMB的水平作为RLPS的潜在预后标志物.
这些发现为改善RLPS亚型的诊断和预后策略提供了基础.

关键词:

生物标志物生物标志物利皮多米克 (Lipidomics) 是一种消化剂.有关RNA测序的RNA测序逆皮质脂肪肉瘤是一种逆皮质脂肪肉瘤.

更多相关视频

Label-Free Imaging of Lipid Storage Dynamics in Caenorhabditis elegans using Stimulated Raman Scattering Microscopy

Label-Free Imaging of Lipid Storage Dynamics in Caenorhabditis elegans using Stimulated Raman Scattering Microscopy

Published on: May 28, 2021

On-Site Sampling and Extraction of Brain Tumors for Metabolomics and Lipidomics Analysis

On-Site Sampling and Extraction of Brain Tumors for Metabolomics and Lipidomics Analysis

Published on: May 31, 2020

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...