Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
Medicine (Baltimore). 2022 Sep 9;101(36):e30469. doi: 10.1097/MD.0000000000030469.
Because of the limitations of therapeutic approaches, patients suffering from lung adenocarcinoma (LUAD) have unsatisfactory prognoses. Studies have shown that neurotransmitters participated in tumorigenesis and development. In LUAD, the expression of neurotransmitter release cycle-related genes (NRCRGs) has been reported to be disordered. This study aimed to study the correlation between NRCRGs and LUAD. In this study, based on the Cancer Genome Atlas cohort, consensus clustering analyses were performed on ten neurotransmitter release cycle-related (NRCR) differentially expressed genes. Neurotransmitter release cycle (NRC) scores were derived by the Least Absolute Shrinkage and Selection Operator-Cox regression model constituted by 3 NRCRGs. Univariate and multivariate Cox regression analyses were performed to evaluate the prognosis value of the NRC score. In addition, single-Sample Gene Set Enrichment Analysis and CIBERSORT were conducted in the Cancer Genome Atlas cohort. Finally, gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses were also performed. As a result, the NRC-low group showed a good prognosis instead of the NRC-high group. NRC score was identified to be an independent prognosis factor for LUAD. In general, the NRC score based on the prognostic model was found to be closely correlated with immunotherapy-related anti-cancer immunity and inflamed tumor microenvironment. Functional enrichment results demonstrated that differentially expressed genes between 2 NRC groups were closely correlated with DNA replication, cell-substrate adhesion, Golgi vesicle transport, MAPK signal pathway, and many others. Novel biomarkers were offered for predicting the prognoses of LUAD patients. The NRC score might contribute to guiding LUAD patients with immunotherapy selection.
由于治疗方法的局限性，患有肺腺癌 (LUAD) 的患者预后不佳。研究表明，神经递质参与肿瘤的发生和发展。在 LUAD 中，已报道神经递质释放循环相关基因 (NRCRGs) 的表达紊乱。本研究旨在研究 NRCRGs 与 LUAD 之间的相关性。在这项研究中，基于癌症基因组图谱队列，对十个神经递质释放循环相关 (NRCR) 的差异表达基因进行了共识聚类分析。通过由 3 个 NRCRGs 组成的最小绝对收缩和选择算子-Cox 回归模型，得出神经递质释放循环 (NRC) 评分。进行单变量和多变量 Cox 回归分析，以评估 NRC 评分的预后价值。此外，在癌症基因组图谱队列中进行了单样本基因集富集分析和 CIBERSORT。最后，还进行了基因本体和京都基因与基因组百科全书分析。结果，NRC-低组的预后良好，而不是 NRC-高组。NRC 评分被确定为 LUAD 的独立预后因素。总的来说，基于预后模型的 NRC 评分与免疫治疗相关的抗癌免疫和炎症肿瘤微环境密切相关。功能富集结果表明，2 个 NRC 组之间的差异表达基因与 DNA 复制、细胞-基质粘附、高尔基小泡运输、MAPK 信号通路等密切相关。为预测 LUAD 患者的预后提供了新的生物标志物。NRC 评分可能有助于指导 LUAD 患者进行免疫治疗选择。
