Yu Xin, Guo Xiaoyu, Li Wenge, Li Juanjuan
Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
Department of Ophthalmology, Renmin Hospital of Wuhan University, Wuhan, China.
Transl Cancer Res. 2024 Feb 29;13(2):771-781. doi: 10.21037/tcr-23-1486. Epub 2024 Feb 28.
Centrosome aberration (CA) plays a vital role in tumorigenesis and metastasis under pathophysiological conditions. The existence of CA was first reported in uveal melanoma (UVM) recently. Our study aimed to investigate the association of centrosome-related genes with UVM prognosis.
The Cancer Genome Atlas (TCGA)-UVM and Gene Expression Omnibus series (GSE) 22138 were included in the study. Least absolute shrinkage and selection operator (LASSO) and Cox regression were combined to screen out key genes and construct a centrosome-related gene signature. Kaplan-Meier (KM) survival curves were used to evaluate the survival differences between the 2 groups. Gene enrichment, immune infiltration, and mutation profile were used to explore the underlying mechanism.
A centrosome-related gene signature was constructed: Risk score =-3.27071 × MAP6 - 5.03735 × CCDC40 - 2.68459 × PRKCD + 1.826349 × IGFBP4 + 11.66582 × RAB6C - 4.86899 × CCND3. The survival possibilities of the two groups were significantly different. The high-risk group showed cancer progression, inflammation, and immune restriction characteristics when compared with the low-risk group. BAP1 mutation was associated with high risk and SF3B1 mutation was associated with low risk according to the signature.
Our study first investigated the role of centrosome-related genes in UVM overall survival (OS). We then constructed a centrosome-related gene signature for UVM, which provides new insights into the role of CA in UVM and identifies novel centrosome-related biomarkers.
在病理生理条件下,中心体畸变(CA)在肿瘤发生和转移中起着至关重要的作用。最近首次报道了CA存在于葡萄膜黑色素瘤(UVM)中。我们的研究旨在探讨中心体相关基因与UVM预后的关联。
本研究纳入了癌症基因组图谱(TCGA)-UVM和基因表达综合数据库(GSE)22138。结合最小绝对收缩和选择算子(LASSO)及Cox回归筛选关键基因并构建中心体相关基因特征。采用Kaplan-Meier(KM)生存曲线评估两组之间的生存差异。利用基因富集、免疫浸润和突变谱来探索潜在机制。
构建了一个中心体相关基因特征:风险评分=-3.27071×MAP6 - 5.03735×CCDC40 - 2.68459×PRKCD + 1.826349×IGFBP4 + 11.66582×RAB6C - 4.86899×CCND3。两组的生存可能性有显著差异。与低风险组相比,高风险组表现出癌症进展、炎症和免疫限制特征。根据该特征,BAP1突变与高风险相关,SF3B1突变与低风险相关。
我们的研究首次探讨了中心体相关基因在UVM总生存期(OS)中的作用。然后我们为UVM构建了一个中心体相关基因特征,这为CA在UVM中的作用提供了新的见解,并确定了新的中心体相关生物标志物。