Department of ICU, the Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Jiangsu Province, Huai'an, No.1, Huanghe West Road, Huaiyin District, 223300, China.
BMC Med Genomics. 2023 Nov 28;16(1):305. doi: 10.1186/s12920-023-01748-9.
To explore the necroptosis-related genes (NRGs) signature and its predictive values in lung adenocarcinoma (LUAD).
The training cohort consisted of tumor samples from The Cancer Genome Atlas, and the validation set comprised data from the Gene Expression Omnibus. Univariate and multivariate Cox regression analyses were applied to identify the prognostic NRG signature as an independent molecular indicator. Correlation analysis was used for the association assessment between the NRG signature and immune checkpoint molecules.
NRGs involved in necroptosis and immune NOD-like receptor signaling. The NRG signature based on eight NRGs can divide tumors into high-risk and low-risk groups, which was significantly associated with worse survival. Multivariate Cox regression analysis showed that this NRG signature remained an independent prognostic indicator. Stratification analyses demonstrated that this NRG signature was still effective for predicting survival in each stratum of age, gender, and tumor stage. The ROC curve showed a good predictive ability using the NRG signature in the validation cohort (AUC = 0.81). The NRG signature was related to immune checkpoint molecules PD - 1, PD-L1, and PD-L2.
The NRG signature could be a novel predictor of the prognosis and may become a potential therapeutic target in LUAD.
探索肺腺癌（LUAD）中与坏死性凋亡相关的基因（NRGs）特征及其预测价值。
训练队列由癌症基因组图谱中的肿瘤样本组成，验证集包含来自基因表达综合数据库的数据。应用单因素和多因素 Cox 回归分析来确定作为独立分子指标的预后 NRG 特征。采用相关性分析评估 NRG 特征与免疫检查点分子之间的关联。
NRGs 涉及坏死性凋亡和免疫 NOD 样受体信号转导。基于 8 个 NRGs 的 NRG 特征可将肿瘤分为高风险和低风险组，与生存不良显著相关。多因素 Cox 回归分析表明，该 NRG 特征仍然是独立的预后指标。分层分析表明，该 NRG 特征在年龄、性别和肿瘤分期的每个亚层中仍然可以有效地预测生存。验证队列中的 ROC 曲线显示 NRG 特征具有良好的预测能力（AUC=0.81）。NRG 特征与免疫检查点分子 PD-1、PD-L1 和 PD-L2 相关。
NRG 特征可以作为 LUAD 预后的新预测因子，并可能成为潜在的治疗靶点。
