根据头颈部鳞状细胞癌患者的杯突症和铁突症相关基因确定预后模型

IF 3.6 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
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引用次数: 0

摘要

背景头颈部鳞状细胞癌(HNSCC)是一种常见的浸润性恶性肿瘤,缺乏强有力的预测或预后生物标志物。铁凋亡和杯凋亡是细胞程序性死亡的两种新形式。我们的研究旨在结合杯突和铁突相关基因(CFRGs)构建一个预后模型,用于HNSCC的早期临床检测。我们评估了28个CFRGs,并分析了这些基因与HNSCC临床特征和预后之间的关系。采用共识聚类分析生成了三个 CFRGclusters。然后,我们研究了这些亚型中分子模式的关联性和预后意义。我们确定了预后相关基因的临床指标,并构建了预后CFRG_score。然后,我们建立了一个预测提名图,并通过校准曲线分析确认了其一致性和可靠性。结果正常组织和 HNSCC 肿瘤组织中的 DEGs 存在差异,我们筛选出了 28 个与 HNSCC 预后相关的 CFRGs。在与预后相关的分子亚型中发现了临床信息与预后之间的关联。我们对差异基因进行了富集分析,结果表明这些DEGs大多富集在与神经变性-多种疾病、阿尔茨海默病、朊病毒病、帕金森病和肌萎缩性脊髓侧索硬化症通路相关的生物过程中。我们建立了 CFRG_score 来预测 HNSCC 患者的生存率,结果发现 CFRG_score 越高,表明患者的 OS 越好,预后越好。此外,我们还建立了高度可靠的提名图,可以很好地预测预期预后。此外,我们通过 qRT-PCR 和免疫组化分析证实,HNSCC 组织中表皮生长因子受体、血管内皮生长因子受体、HSPA5、SLC3A2、CAV1 和 CD44 的表达情况一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identification of a prognostic model based on cuproptosis and ferroptosis-related genes in patients with head and neck squamous cell carcinoma

Identification of a prognostic model based on cuproptosis and ferroptosis-related genes in patients with head and neck squamous cell carcinoma

Background

Head and neck squamous cell carcinoma (HNSCC) is a common invasive malignant tumor that lacks powerful predictive or prognostic biomarkers. Ferroptosis and cuproptosis are two new forms of programmed cell death. Our study was aimed at constructing a prognostic model with a combination of cuproptosis and ferroptosis-related genes (CFRGs) for the early clinical detection of HNSCC.

Methods

We obtained the information of CFRGs, including the RNASeq data and corresponding clinical data in HNSCC patients from the TCGA and GEO databases. We assessed 28 CFRGs, and analyzed the relationship between those genes and their clinical features and prognosis of HNSCC. The consensus cluster analysis was employed to generate three CFRGclusters. Then, we investigated the association of molecular patterns and prognostic significance in these subtypes. The clinical indicators of the prognosis-related genes were identified and prognostic CFRG_score were constructed. We then built a predictive nomogram with confirmed consistency and reliability by calibration curve analysis. At last, we verified the expression of CFRGs in HNSCC tissues by qRT-PCR and immunohistochemical results.

Results

The DEGs were different between the normal and HNSCC tumor tissues and we screened out 28 CFRGs related to the prognosis in HNSCC. Associations between the clinical information and prognosis were found in the molecular subtypes related to prognosis. We utilized enrichment analysis of the differential genes and showed that those DEGs were mostly enriched in the biological processes associated with the pathways of neurodegeneration-multiple diseases, Alzheimer disease, Prion disease, Parkinson disease and Amyotrophic lateral sclerosis. CFRG_score was established to predict the survival of HNSCC patients and found that higher CFRG_score suggested favorable OS for patients, indicating the prediction of better prognosis. Moreover, we created highly reliable nomogram which could predict well for the expected prognosis. In addition, we confirmed that the expression of EGFR, VEGFA, HSPA5, SLC3A2, CAV1 and CD44 were consistent with qRT-PCR and immunohistochemical analysis in HNSCC tissues by qRT-PCR.

Conclusions

This prognostic model based on prognostic differential CFRG_score is strongly related to clinical characteristics, prognosis, and therapy in HNSCC patients and could be used as a promising tool which is dedicated to guiding the treatment of HNSCC.

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来源期刊
Current Research in Biotechnology
Current Research in Biotechnology Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
6.70
自引率
3.60%
发文量
50
审稿时长
38 days
期刊介绍: Current Research in Biotechnology (CRBIOT) is a new primary research, gold open access journal from Elsevier. CRBIOT publishes original papers, reviews, and short communications (including viewpoints and perspectives) resulting from research in biotechnology and biotech-associated disciplines. Current Research in Biotechnology is a peer-reviewed gold open access (OA) journal and upon acceptance all articles are permanently and freely available. It is a companion to the highly regarded review journal Current Opinion in Biotechnology (2018 CiteScore 8.450) and is part of the Current Opinion and Research (CO+RE) suite of journals. All CO+RE journals leverage the Current Opinion legacy-of editorial excellence, high-impact, and global reach-to ensure they are a widely read resource that is integral to scientists' workflow.
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