Zhou Qing, Chen Xi, Chen Qiuyan, Hao Lu
Central Laboratory, The People's Hospital of Baoan Shenzhen, The Second Affiliated Hospital of Shenzhen University, Shenzhen, China.
Science and Education Department, Shenzhen Baoan Shiyan People's Hospital, Shenzhen 518000, P.R. China.
Crit Rev Eukaryot Gene Expr. 2023;33(6):1-16. doi: 10.1615/CritRevEukaryotGeneExpr.2023047785.
Tumor angiogenesis is considered to be an important part of the mechanism of tumor progression and metastasis, and its specific function in lung adenocarcinoma has not been fully studied. In this study, we used the transcriptome and genome data of lung adenocarcinoma patients to analyze the expression of 36 angiogenesis regulators in lung adenocarcinoma. Consensus clustering analysis divided lung adenocarcinoma samples into 4 subtypes, A, B, C, and D, and the expression of most angiogenesis regulators in subtype B was higher than that in other subtypes. Immunological analysis indicated that subtype B is likely to display the characteristics of a hot tumor with a more active TME. With the help of Lasso-Cox regression analysis, we successfully constructed a risk model involving five Angiogenesis Regulators genes (CCND2, JAG1, MSX1, STC1, TIMP1), which will be helpful for clinical personalized treatment and prognosis prediction. In addition, JAG1 has the highest mutation rate in tumors, and its cancer-promoting function is reflected in a variety of tumors, which provides important clues for the development of new broad-spectrum anti-cancer targets in the future. We successfully constructed a risk model involving five angiogenesis regulators genes (CCND2, JAG1, MSX1, STC1, TIMP1), which may be helpful for clinical personalized treatment and prognosis prediction. In addition, JAG1 has the highest mutation rate in tumors and plays a leading role in the protein interaction network. Its tumor-promoting function is reflected in a variety of tumors and may become a broad-spectrum anti-cancer target in the future.
肿瘤血管生成被认为是肿瘤进展和转移机制的重要组成部分，其在肺腺癌中的具体作用尚未得到充分研究。在本研究中，我们利用肺腺癌患者的转录组和基因组数据，分析了36种血管生成调节因子在肺腺癌中的表达。共识聚类分析将肺腺癌样本分为A、B、C和D 4种亚型，B亚型中大多数血管生成调节因子的表达高于其他亚型。免疫分析表明，B亚型可能表现出具有更活跃肿瘤微环境的热肿瘤特征。借助Lasso-Cox回归分析，我们成功构建了一个包含5个血管生成调节因子基因（CCND2、JAG1、MSX1、STC1、TIMP1）的风险模型，这将有助于临床个性化治疗和预后预测。此外，JAG1在肿瘤中的突变率最高，其促癌功能在多种肿瘤中均有体现，为未来开发新的广谱抗癌靶点提供了重要线索。我们成功构建了一个包含5个血管生成调节因子基因（CCND2、JAG1、MSX1、STC1、TIMP1）的风险模型，这可能有助于临床个性化治疗和预后预测。此外，JAG1在肿瘤中的突变率最高，在蛋白质相互作用网络中起主导作用。其促癌功能在多种肿瘤中均有体现，未来可能成为广谱抗癌靶点。
