Validation of endoplasmic reticulum stress-related gene signature to predict prognosis and immune landscape of patients with non-small cell lung cancer.

IF 1.4 4区医学 Q4 ENGINEERING, BIOMEDICAL

Technology and Health Care Pub Date : 2024-09-12 DOI:10.3233/THC-241059

Yingying Cui, Xiaoli Zhou, Dan Zheng, Yumei Zhu

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引用次数: 0

Abstract

Background: Lung cancer is one of the most common cancers worldwide, with the incidence increasing each year. It is crucial to improve the prognosis of patients who have lung cancer. Non-Small Cell Lung Cancer (NSCLC) accounts for the majority of lung cancer. Though its prognostic significance in NSCLC has not been often documented, Endoplasmic Reticulum (ER) stress has been identified to be implicated in tumour malignant behaviours and resistance to treatment.

Objective: This work aimed to develop a gene profile linked to ER stress that could be applied to predictive and risk assessment for non-small cell lung cancer.

Methods: Data from 1014 NSCLC patients were sourced from The Cancer Genome Atlas (TCGA) database, integrating clinical and Ribonucleic Acid (RNA) information. Diverse analytical techniques were utilized to identify ERS-associated genes associated with patients' prognoses. These techniques included Kaplan-Meier analysis, univariate Cox regression, Least Absolute Shrinkage and Selection Operator regression analysis (LASSO) regression, and Pearson correlation analysis. Using a risk score model obtained from multivariate Cox analysis, a nomogram was created and validated to classify patients into high- and low-risk groups. The study employed the CIBERSORT algorithm and Single-Sample Gene Set Eenrichment Analysis (ssGSEA) to investigate the tumour immune microenvironment. We used the Genomics of Drug Sensitivity in Cancer (GDSC) database and R tools to identify medicines that could be responsive.

Results: Four genes - FABP5, C5AR1, CTSL, and LTA4H - were chosen to create the risk model. Overall Survival (OS) was considerably lower (P< 0.05) in the high-risk group. When it came to predictive accuracy, the risk model outperformed clinical considerations. Several medication types that are sensitive to high-risk groups were chosen.

Conclusion: Our study has produced a gene signature associated with ER stress that may be employed to forecast the prognosis and therapeutic response of non-small cell lung cancer patients.

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验证内质网应激相关基因特征以预测非小细胞肺癌患者的预后和免疫状况

背景：肺癌是全球最常见的癌症之一，发病率逐年上升。改善肺癌患者的预后至关重要。非小细胞肺癌（NSCLC）占肺癌的大多数。尽管内质网（ER）应激对 NSCLC 的预后意义尚未得到充分证实，但已发现它与肿瘤的恶性行为和抗药性有关：本研究旨在建立与ER应激相关的基因谱，并将其应用于非小细胞肺癌的预测和风险评估：方法：1014名NSCLC患者的数据来自癌症基因组图谱（TCGA）数据库，该数据库整合了临床和核糖核酸（RNA）信息。研究人员利用多种分析技术来确定与患者预后相关的ERS相关基因。这些技术包括卡普兰-梅耶分析、单变量考克斯回归、最小绝对收缩和选择操作者回归分析（LASSO）以及皮尔逊相关分析。利用多变量 Cox 分析得出的风险评分模型，创建并验证了将患者分为高风险组和低风险组的提名图。研究采用了CIBERSORT算法和单样本基因组富集分析（ssGSEA）来研究肿瘤免疫微环境。我们使用了癌症药物敏感性基因组学（GDSC）数据库和R工具来识别可能有反应的药物：我们选择了四个基因--FABP5、C5AR1、CTSL和LTA4H--来创建风险模型。高风险组的总生存期（OS）明显较低（P< 0.05）。就预测准确性而言，风险模型优于临床考虑因素。我们选择了几种对高危人群敏感的药物类型：我们的研究得出了与ER压力相关的基因特征，可用于预测非小细胞肺癌患者的预后和治疗反应。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Technology and Health Care HEALTH CARE SCIENCES & SERVICES-ENGINEERING, BIOMEDICAL

CiteScore

2.10

自引率

6.20%

发文量

282

审稿时长

>12 weeks

期刊介绍： Technology and Health Care is intended to serve as a forum for the presentation of original articles and technical notes, observing rigorous scientific standards. Furthermore, upon invitation, reviews, tutorials, discussion papers and minisymposia are featured. The main focus of THC is related to the overlapping areas of engineering and medicine. The following types of contributions are considered: 1.Original articles: New concepts, procedures and devices associated with the use of technology in medical research and clinical practice are presented to a readership with a widespread background in engineering and/or medicine. In particular, the clinical benefit deriving from the application of engineering methods and devices in clinical medicine should be demonstrated. Typically, full length original contributions have a length of 4000 words, thereby taking duly into account figures and tables. 2.Technical Notes and Short Communications: Technical Notes relate to novel technical developments with relevance for clinical medicine. In Short Communications, clinical applications are shortly described. 3.Both Technical Notes and Short Communications typically have a length of 1500 words. Reviews and Tutorials (upon invitation only): Tutorial and educational articles for persons with a primarily medical background on principles of engineering with particular significance for biomedical applications and vice versa are presented. The Editorial Board is responsible for the selection of topics. 4.Minisymposia (upon invitation only): Under the leadership of a Special Editor, controversial or important issues relating to health care are highlighted and discussed by various authors. 5.Letters to the Editors: Discussions or short statements (not indexed).