• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于蛋白质组学和代谢组学的口腔鳞状细胞癌新预后指标的鉴定

Identification of novel prognostic indicators for oral squamous cell carcinoma based on proteomics and metabolomics.

作者信息

Yao Zhitao, An Wei, Tuerdi Maimaitituxun, Zhao Jin

机构信息

Department of Trauma and Orthopedics, the First Affiliated Hospital of Xinjiang Medical University, No. 137 South Liyushan Road, Urumqi 830054, China; Oral Disease Institute of Xinjiang Uyghur Autonomous Region, No.137 South Liyushan Road, Urumqi 830054, China.

Department of Trauma and Orthopedics, the First Affiliated Hospital of Xinjiang Medical University, No. 137 South Liyushan Road, Urumqi 830054, China; Oral Disease Institute of Xinjiang Uyghur Autonomous Region, No.137 South Liyushan Road, Urumqi 830054, China.

出版信息

Transl Oncol. 2023 Jul;33:101672. doi: 10.1016/j.tranon.2023.101672. Epub 2023 Apr 20.

DOI:10.1016/j.tranon.2023.101672
PMID:37084685
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10172993/
Abstract

BACKGROUND

The low 5-year survival rate of oral squamous cell carcinoma (OSCC) suggests that new prognostic indicators need to be identified to aid the clinical management of patients.

METHODS

Saliva samples from OSCC patients and healthy controls were collected for proteomic and metabolomic sequencing. Gene expressed profiling was downloaded from TCGA and GEO databases. After the differential analysis, proteins with a significant impact on the prognosis of OSCC patients were screened. Correlation analysis was performed with metabolites and core proteins were identified. Cox regression analysis was utilized to stratify OSCC samples based on core proteins. The prognostic predictive ability of the core protein was then evaluated. Differences in infiltration of immune cells between the different strata were identified.

RESULTS

There were 678 differentially expressed proteins (DEPs), 94 intersected DEPs among them by intersecting with differentially expressed genes in TCGA and GSE30784 dataset. Seven core proteins were identified that significantly affected OSCC patient survival and strongly correlated with differential metabolites (R > 0.8). The samples were divided into high- and low-risk groups according to median risk score. The risk score and core proteins were well prognostic factor in OSCC patients. Genes in high-risk group were enriched in Notch signaling pathway, epithelial mesenchymal transition (EMT), and angiogenesis. Core proteins were strongly associated with the immune status of OSCC patients.

CONCLUSIONS

The results established a 7-protein signatures with the hope of early detection and the capacity for risk assessment of OSCC patient prognosis. Further providing more potential targets for the treatment of OSCC.

摘要

背景

口腔鳞状细胞癌(OSCC)的5年生存率较低,这表明需要确定新的预后指标以辅助患者的临床管理。

方法

收集OSCC患者和健康对照的唾液样本进行蛋白质组学和代谢组学测序。从TCGA和GEO数据库下载基因表达谱。经过差异分析,筛选出对OSCC患者预后有显著影响的蛋白质。进行代谢物相关性分析并鉴定核心蛋白质。利用Cox回归分析根据核心蛋白质对OSCC样本进行分层。然后评估核心蛋白质的预后预测能力。确定不同分层之间免疫细胞浸润的差异。

结果

有678个差异表达蛋白(DEP),通过与TCGA和GSE30784数据集中的差异表达基因相交,其中有94个相交的DEP。鉴定出7种核心蛋白质,它们显著影响OSCC患者的生存,并与差异代谢物强烈相关(R>0.8)。根据中位风险评分将样本分为高风险组和低风险组。风险评分和核心蛋白质是OSCC患者良好的预后因素。高风险组中的基因在Notch信号通路、上皮间质转化(EMT)和血管生成中富集。核心蛋白质与OSCC患者的免疫状态密切相关。

结论

研究结果建立了一种7蛋白特征,有望早期检测并对OSCC患者预后进行风险评估。进一步为OSCC的治疗提供更多潜在靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/b05fb3e4da46/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/8b6753418ffb/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/de9fb1f1b61f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/c6514f1a403c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/72f4155b367c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/d2c6492b31f7/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/a5e93092f376/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/b05fb3e4da46/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/8b6753418ffb/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/de9fb1f1b61f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/c6514f1a403c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/72f4155b367c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/d2c6492b31f7/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/a5e93092f376/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3f/10172993/b05fb3e4da46/gr7.jpg

相似文献

1
Identification of novel prognostic indicators for oral squamous cell carcinoma based on proteomics and metabolomics.基于蛋白质组学和代谢组学的口腔鳞状细胞癌新预后指标的鉴定
Transl Oncol. 2023 Jul;33:101672. doi: 10.1016/j.tranon.2023.101672. Epub 2023 Apr 20.
2
Construction and validation of a metabolic-related genes prognostic model for oral squamous cell carcinoma based on bioinformatics.基于生物信息学构建和验证口腔鳞状细胞癌代谢相关基因预后模型。
BMC Med Genomics. 2022 Dec 24;15(1):269. doi: 10.1186/s12920-022-01417-3.
3
A Novel Immune-Related Gene Signature to Identify the Tumor Microenvironment and Prognose Disease Among Patients With Oral Squamous Cell Carcinoma Patients Using ssGSEA: A Bioinformatics and Biological Validation Study.基于 ssGSEA 的新型免疫相关基因特征识别口腔鳞状细胞癌患者肿瘤微环境和预测疾病预后:一项生物信息学和生物学验证研究。
Front Immunol. 2022 Jul 6;13:922195. doi: 10.3389/fimmu.2022.922195. eCollection 2022.
4
Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma.鉴定口腔鳞状细胞癌预后预测的免疫相关风险特征。
J Immunol Res. 2021 Aug 25;2021:6203759. doi: 10.1155/2021/6203759. eCollection 2021.
5
Potential prognostic value of a eight ferroptosis-related lncRNAs model and the correlative immune activity in oral squamous cell carcinoma.一个包含八个铁死亡相关 lncRNAs 的模型在口腔鳞状细胞癌中的潜在预后价值及相关免疫活性。
BMC Genom Data. 2022 Nov 16;23(1):80. doi: 10.1186/s12863-022-01097-z.
6
Systematic establishment and verification of an epithelial-mesenchymal transition gene signature for predicting prognosis of oral squamous cell carcinoma.用于预测口腔鳞状细胞癌预后的上皮-间质转化基因特征的系统建立与验证
Front Genet. 2023 Aug 10;14:1113137. doi: 10.3389/fgene.2023.1113137. eCollection 2023.
7
[MicroRNA model that can predict the prognosis of oral squamous cell carcinoma based on bioinformatics analysis].基于生物信息学分析的可预测口腔鳞状细胞癌预后的微小RNA模型
Hua Xi Kou Qiang Yi Xue Za Zhi. 2020 Dec 1;38(6):622-627. doi: 10.7518/hxkq.2020.06.003.
8
A Five-mRNA Expression Signature to Predict Survival in Oral Squamous Cell Carcinoma by Integrated Bioinformatic Analyses.基于综合生物信息学分析的五信使 RNA 表达特征预测口腔鳞状细胞癌患者的生存情况。
Genet Test Mol Biomarkers. 2021 Aug;25(8):517-527. doi: 10.1089/gtmb.2021.0066.
9
: a novel immune prognostic biomarker for oral squamous cell carcinoma and linked to expression in the tumor immune microenvironment.一种用于口腔鳞状细胞癌的新型免疫预后生物标志物,与肿瘤免疫微环境中的表达相关。
Ann Transl Med. 2022 Feb;10(3):144. doi: 10.21037/atm-21-6915.
10
Identification of an Immune Score-Based Gene Panel with Prognostic Power for Oral Squamous Cell Carcinoma.基于免疫评分的基因panel 鉴定具有口腔鳞状细胞癌预后价值。
Med Sci Monit. 2020 Jun 12;26:e922854. doi: 10.12659/MSM.922854.

引用本文的文献

1
Exploring the role of PANoptosis related genes in the prognosis of oral squamous cell carcinoma subtypes based on multi-omics analysis.基于多组学分析探究PAN凋亡相关基因在口腔鳞状细胞癌亚型预后中的作用。
Discov Oncol. 2025 Jul 11;16(1):1305. doi: 10.1007/s12672-025-03154-2.
2
evaluation of missense SNPs in cancer-associated Cystatin A protein and their potential to disrupt Cathepsin B interaction.癌症相关胱抑素A蛋白中错义单核苷酸多态性的评估及其破坏组织蛋白酶B相互作用的可能性。
Heliyon. 2025 Feb 5;11(3):e42478. doi: 10.1016/j.heliyon.2025.e42478. eCollection 2025 Feb 15.
3
Effects of Angiogenic Factors on the Epithelial-to-Mesenchymal Transition and Their Impact on the Onset and Progression of Oral Squamous Cell Carcinoma: An Overview.
血管生成因子对上皮间质转化的影响及其对口腔鳞状细胞癌发生发展的影响:综述。
Cells. 2024 Jul 31;13(15):1294. doi: 10.3390/cells13151294.
4
Critical Factors in Sample Collection and Preparation for Clinical Metabolomics of Underexplored Biological Specimens.未充分探索的生物样本临床代谢组学样本采集与制备中的关键因素
Metabolites. 2024 Jan 5;14(1):36. doi: 10.3390/metabo14010036.
5
[Latest Findings on Salivary Tumor Biomarkers].[唾液肿瘤生物标志物的最新研究发现]
Sichuan Da Xue Xue Bao Yi Xue Ban. 2023 May;54(3):462-468. doi: 10.12182/20230560112.