Identification and Verification of Potential Ferroptosis-Related Biomarkers in Cervical Cancer

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS

ACS Applied Bio Materials Pub Date : 2024-04-01 DOI:10.1166/jbn.2024.3810

Zhaodi Liu, Yang Liu, Xinyue Wu, Xiangnan Feng, Wei Liang

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Abstract

This study screened important genes contributing to morbidity from differential ferroptosis-related genes (FRGs) in cervical cancer and to establish a risk assessment model with ferroptosis-related LncRNAs. Total RNA sequencing data were extracted from The cancer genome atlas (TCGA), Gene Expression Omnibus (GEO) and Genotype-Tissue Expression (GTEx). By differential analysis, we identified ferroptosis-related hub genes close to prevalence of cervical cancer. According to receiver operator curves (ROC) curves, hub genes have good diagnostic performance. The diagnostic potential of hub genes for occurrence of the disease was further assessed and verified. Further, a risk-assessing model based on ferroptosis-related LncRNAs was established. Finally, the differential expressions of hub genes were verified through qRT-PCR. Five hub genes were identified, and we found through GO, KEGG and immune infiltration, that the hub genes are connection with cervical cancer. The Area Under Curve (AUC) values were all greater than 0.8 in ROC curve, and the hub genes presented differences between disease and control groups in validation set GSE29570. We created a risk assessment model with 16 ferroptosis-related LncRNAs. There was a difference in survival between high-risk and low-risk groups. The AUC result for risk assessment model reached 0.792, and there were significant expression differences of Hub genes in Huvec and Hela cells. The study screened 5 hub genes and constructed the risk-assessment model based on 16 LncRNAs associated with ferroptosis genes.

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宫颈癌中潜在的铁蛋白沉积相关生物标记物的鉴定与验证

本研究从宫颈癌中不同的铁蛋白沉积相关基因（FRGs）中筛选出导致发病的重要基因，并利用铁蛋白沉积相关的LncRNAs建立风险评估模型。我们从癌症基因组图谱（TCGA）、基因表达总库（GEO）和基因型-组织表达（GTEx）中提取了总RNA测序数据。通过差异分析，我们发现了与宫颈癌发病率密切相关的铁突变相关枢纽基因。根据接收操作者曲线（ROC），中枢基因具有良好的诊断性能。我们进一步评估并验证了枢纽基因对疾病发生的诊断潜力。此外，还建立了一个基于铁突变相关 LncRNA 的风险评估模型。最后，通过 qRT-PCR 验证了枢纽基因的差异表达。通过GO、KEGG和免疫浸润，我们发现五个中枢基因与宫颈癌有关。在 ROC 曲线中，曲线下面积（AUC）值均大于 0.8，并且在验证集 GSE29570 中，中心基因在疾病组和对照组之间存在差异。我们用 16 个与铁沉着病相关的 LncRNA 建立了一个风险评估模型。高危组和低危组的生存率存在差异。风险评估模型的AUC结果达到0.792，Hub基因在Huvec细胞和Hela细胞中的表达存在显著差异。该研究筛选了5个Hub基因，并根据16个与铁突变基因相关的LncRNA构建了风险评估模型。

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

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464

期刊介绍： ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.