Ma Huiying, Ge Yizhi, Li Yuhong, Wang Tingting, Chen Wei
Department of Radiation Oncology, The First People's Hospital of Jiande, Hangzhou, China.
Department of Radiation Oncology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, Jiangsu, China.
Medicine (Baltimore). 2024 Dec 6;103(49):e40727. doi: 10.1097/MD.0000000000040727.
To reveal the clinical value of cuproptosis-related genes on prognosis and metastasis in non-small cell lung cancer.
Gene expression profiles and clinical information of non-small cell lung cancer were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases. The data were grouped into training set, internal testing set, and external testing set. A risk prognostic model was constructed by Lasso-Cox regression analysis. Hub genes were identified and evaluated using immunohistochemistry and the transwell migration assay in 50 clinical patients.
A total of 17/19 cuproptosis-related genes were differentially expressed in tumors, 8 were significantly associated with prognosis, and 4 were markedly associated with metastasis. A risk model based on 2 cuproptosis-related genes was constructed and validated for predicting overall survival. The risk score was proven to be an independent risk factor for the prognosis of non-small cell lung cancer. Dihydrolipoamide S-acetyltransferase and dihydrolipoamide S-succinyltransferase, key genes in cuproptosis, were proven to be associated with non-small cell lung cancer prognosis and metastasis. Immunohistochemistry showed that their expression significantly predicted metastasis but failed to predict prognosis in non-small cell lung cancer patients. The transwell migration assay further increased the cellular reliability of our findings.
The cuproptosis-related genes prognostic model effectively predicted the prognosis of non-small cell lung cancer. Dihydrolipoamide S-acetyltransferase and dihydrolipoamide S-succinyltransferase may serve as predictive markers for metastasis in non-small cell lung cancer.
揭示铜死亡相关基因在非小细胞肺癌预后和转移中的临床价值。
从癌症基因组图谱（The Cancer Genome Atlas）和基因表达综合数据库（Gene Expression Omnibus）下载非小细胞肺癌的基因表达谱和临床信息。将数据分为训练集、内部测试集和外部测试集。通过套索-考克斯回归分析构建风险预后模型。使用免疫组织化学和transwell迁移试验对50例临床患者的枢纽基因进行鉴定和评估。
19个铜死亡相关基因中有17个在肿瘤中差异表达，8个与预后显著相关，4个与转移显著相关。构建并验证了基于2个铜死亡相关基因的风险模型以预测总生存期。风险评分被证明是非小细胞肺癌预后的独立危险因素。铜死亡中的关键基因二氢硫辛酰胺S-乙酰转移酶和二氢硫辛酰胺S-琥珀酰转移酶被证明与非小细胞肺癌的预后和转移相关。免疫组织化学显示它们的表达可显著预测非小细胞肺癌患者的转移，但不能预测预后。transwell迁移试验进一步提高了我们研究结果的细胞可靠性。
铜死亡相关基因预后模型有效预测了非小细胞肺癌的预后。二氢硫辛酰胺S-乙酰转移酶和二氢硫辛酰胺S-琥珀酰转移酶可能作为非小细胞肺癌转移的预测标志物。
