在喉状细胞癌中基于转录学探索与ubiquitination相关的生物标志物和潜在的分子机制
Qiu Chen1,2, Zhimin Wu1, Yifei Ma3
1School of Clinical Medicine, Guizhou Medical University, Guiyang, Guizhou, 550004, China.
BMC medical genomics
|May 12, 2025
概括
这项研究确定了四种新的生物标志物 (WDR54,KAT2B,NBEAL2,LNX1),这些生物标志物与喉状细胞癌 (LSCC) 检测的随处可见性相关基因有关. 这些发现为改善临床诊断和了解LSCC分子机制提供了潜力.
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:
- 喉平细胞癌 (LSCC) 是一种流行癌症,死亡率很高.
- 在LSCC的发展和进展中,乌比基化起着至关重要的作用.
- 确定LSCC可靠的生物标志物对于早期诊断和治疗至关重要.
研究的目的:
- 在LSCC中识别和验证与无处不在相关基因 (UbRGs) 相关的新生物标志物.
- 探索LSCC的诊断价值和潜在的治疗目标.
- 阐明LSCC发展背后的分子机制.
主要方法:
- 差异表达分析和加权基因共表达网络分析 (WGCNA) 用于识别候选基因.
- 机器学习算法从交叉的基因组 (DEGs,WGCNA模块,UbRGs) 中选出潜在的生物标志物.
- 使用RT-qPCR和公共数据集 (TCGA-LSCC,GSE127165) 进行生物标志物验证,通过ROC曲线评估诊断准确度.
主要成果:
- 四个生物标志物 (WDR54,KAT2B,NBEAL2,LNX1) 被确定并验证,显示LSCC中一致的表达趋势.
- 这些生物标志物在预测LSCC的临床方面表现出显著的准确性.
- 相关癌症包括恶性瘤和结直肠癌,确定了潜在的治疗药物和调节性转录因子.
结论:
- 与UbRG相关的已识别的生物标志物 (WDR54,KAT2B,NBEAL2,LNX1) 对LSCC的临床诊断有很大的前景.
- 这些生物标志物为LSCC的分子机制提供了洞察力.
- 进一步的研究可以利用这些发现来针对LSCC治疗和改善患者的治疗结果.
相关概念视频
Regulation of Expression at Multiple Steps
850
The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
850
lncRNA - Long Non-coding RNAs
8.4K
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...
8.4K
Ribosome Profiling
3.4K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
3.4K


