Ooko Ednah, Ali Nadeen T, Efferth Thomas
Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Department of Biological Sciences, School of Natural and Applied Sciences, Masinde Muliro University of Science and Technology, Kakamega 190-50100, Kenya.
Biology (Basel). 2024 Oct 3;13(10):793. doi: 10.3390/biology13100793.
We investigated the mRNA expression of 124 cuproptosis-associated genes in 7489 biopsies from 20 different tumor types of The Cancer Genome Atlas (TCGA). The KM plotter algorithm has been used to calculate Kaplan-Meier statistics and false discovery rate (FDR) corrections. Interaction networks have been generated using Ingenuity Pathway Analysis (IPA). High mRNA expression of 63 out of 124 genes significantly correlated with shorter survival times of cancer patients across all 20 tumor types. IPA analyses revealed that their gene products were interconnected in canonical pathways (e.g., cancer, cell death, cell cycle, cell signaling). Four tumor entities showed a higher accumulation of genes than the other cancer types, i.e., renal clear cell carcinoma ( = 21), renal papillary carcinoma ( = 13), kidney hepatocellular carcinoma ( = 13), and lung adenocarcinoma ( = 9). These gene clusters may serve as prognostic signatures for patient survival. These signatures were also of prognostic value for tumors with high mutational rates and neoantigen loads. Cuproptosis is of prognostic significance for the survival of cancer patients. The identification of specific gene signatures deserves further exploration for their clinical utility in routine diagnostics.
我们研究了来自癌症基因组图谱（TCGA）中20种不同肿瘤类型的7489份活检样本中124个铜死亡相关基因的mRNA表达情况。使用KM plotter算法计算了Kaplan-Meier统计量和错误发现率（FDR）校正值。利用 Ingenuity 通路分析（IPA）生成了相互作用网络。在所有20种肿瘤类型中，124个基因中有63个基因的高mRNA表达与癌症患者较短的生存时间显著相关。IPA分析显示，它们的基因产物在经典通路（如癌症、细胞死亡、细胞周期、细胞信号传导）中相互关联。四种肿瘤实体显示出比其他癌症类型更多的基因积累，即肾透明细胞癌（= 21）、肾乳头状癌（= 13）、肾肝细胞癌（= 13）和肺腺癌（= 9）。这些基因簇可作为患者生存的预后标志物。这些标志物对具有高突变率和新抗原负荷的肿瘤也具有预后价值。铜死亡对癌症患者的生存具有预后意义。鉴定特定的基因标志物在常规诊断中的临床应用值得进一步探索。
