基于氧化应激相关基因的硅学和免疫组化分析对肺腺癌患者进行分层

IF 2.4 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL Cancer Biotherapy and Radiopharmaceuticals Pub Date : 2024-07-01 DOI:10.1089/cbr.2024.0094
Chongrong Qiu, Yuming Zhou, Xiaoliu Xiao, Tianjun Song, Dongyun Zeng, Jingliang Peng
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引用次数: 0

摘要

背景:肺腺癌(LUAD)患者的预后仍不尽相同;氧化应激(OS)与癌症进展广泛相关。因此,有必要探讨与氧化应激相关的基因在 LUAD 中的预后价值。方法在癌症基因组图谱-LUAD数据集中使用Cox回归和随机森林模型建立了OS相关预后特征。应用卡普兰-梅耶(K-M)生存曲线和时间依赖性接收者操作特征曲线来评估和验证该特征在训练队列和测试队列中的预测准确性。构建了一个提名图,并分别通过一致性指数(C-index)、校准曲线和 tROC 曲线进行了验证。ESTIMATE算法和CIBERSORT算法用于探索特征的免疫特征。在蛋白-蛋白相互作用网络中确定了预后特征的核心靶基因。结果显示建立了6个与OS相关的预后基因特征(CDC25C、ERO1A、GRIA1、TERT、CAV1、BDNF)。训练组和测试组的tROC和K-M生存曲线显示,该特征对预测LUAD患者的总生存期具有良好而稳健的预测能力。同时,风险评分是影响患者总生存期的独立预后因素。C指数(0.714)、校准曲线以及1年、2年和3年tROC曲线(曲线下面积分别为0.703、0.737和0.723)的结果表明,提名图对LUAD具有良好的预测效果和预后价值。随后,作者发现高危人群可能是免疫细胞耗竭或丧失了抗肿瘤功能。最后,作者预测了该特征的 10 个核心基因。结论他们的研究为确定 LUAD 患者的预后分层以及 LUAD 进展过程中 OS 相关基因的调控提供了新的认识。
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Stratification of Lung Adenocarcinoma Patients Based on In Silico and Immunohistochemistry Analyses of Oxidative Stress-Related Genes.

Background: Lung adenocarcinoma (LUAD) remains heterogeneous in the prognosis of patients; oxidative stress (OS) has been widely linked to cancer progression. Therefore, it is necessary to explore the prognostic value of the OS-associated genes in LUAD. Methods: An OS-associated prognostic signature was developed using the Cox regression and random forest model in The Cancer Genome Atlas-LUAD dataset. Kaplan-Meier (K-M) survival curve and time-dependent receiver operating characteristic (tROC) curves were applied to evaluate and validate the predictive accuracy of this signature among the training and testing cohorts. A nomogram was constructed and also verified by the concordance index (C-index), calibration curves, and tROC curves, respectively. ESTIMATE algorithm and CIBERSORT algorithms were conducted to explore the signature's immune characteristics. Core target genes of the prognostic signature were identified in the protein-protein interaction network. Results: A six OS-associated prognostic gene signature (CDC25C, ERO1A, GRIA1, TERT, CAV1, BDNF) was developed. The tROC and K-M survival curves in the training and testing cohorts revealed that the signature had good and robust predictive capability to predict the overall survival of LUAD patients. Meanwhile, the risk score was an independent prognostic factor influencing patients' overall survival. The results of the C-index (0.714), calibration curves, and the 1-, 2-, and 3-year tROC curves (area under the curve = 0.703, 0.737, and 0.723, respectively) suggested that the nomogram had good predictive efficacy and prognostic value for LUAD. Then, the authors found that the high-risk group may be depletion or loss of antitumor function of immune cells. Finally, 10 core genes of the signature were predicted. Conclusion: Their study may provide a novel understanding for the identification of prognostic stratification in LUAD patients, as well as the regulation of OS-associated genes in LUAD progression.

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来源期刊
CiteScore
7.80
自引率
2.90%
发文量
87
审稿时长
3 months
期刊介绍: Cancer Biotherapy and Radiopharmaceuticals is the established peer-reviewed journal, with over 25 years of cutting-edge content on innovative therapeutic investigations to ultimately improve cancer management. It is the only journal with the specific focus of cancer biotherapy and is inclusive of monoclonal antibodies, cytokine therapy, cancer gene therapy, cell-based therapies, and other forms of immunotherapies. The Journal includes extensive reporting on advancements in radioimmunotherapy, and the use of radiopharmaceuticals and radiolabeled peptides for the development of new cancer treatments.
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