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基于智能医疗物联网的癌症微环境相关基因与预后的相关性评估

Correlation evaluation between cancer microenvironment related genes and prognosis based on intelligent medical internet of things.

作者信息

Ren Shoulei, Cao Wenli, Ma Jianzeng, Li Hongchun, Xia Yutao, Zhao Jianwen

机构信息

Oncology Department, Yangguangronghe Hospital, Weifang, Shandong, China.

Nerosurgery Department, Yangguangronghe Hospital, Weifang, Shandong, China.

出版信息

Front Genet. 2023 Feb 9;14:1132242. doi: 10.3389/fgene.2023.1132242. eCollection 2023.

DOI:10.3389/fgene.2023.1132242
PMID:36845384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9947234/
Abstract

The study of tumor microenvironment plays an important role in the treatment of cancer patients. In this paper, intelligent medical Internet of Things technology was used to analyze cancer tumor microenvironment-related genes. Through experiments designed and analyzed cancer-related genes, this study concluded that in cervical cancer, patients with high expression of P16 gene had a shorter life cycle and a survival rate of 35%. In addition, through investigation and interview, it was found that patients with positive expression of P16 and Twist genes had a higher recurrence rate than patients with negative expression of both genes; high expression of FDFT1, AKR1C1, and ALOX12 in colon cancer is associated with short survival; high expressions of HMGCR and CARS1 is associated with longer survival; overexpression of NDUFA12, FD6, VEZT, GDF3, PDE5A, GALNTL6, OPMR1, and AOAH in thyroid cancer is associated with shortened survival; high expressions of NR2C1, FN1, IPCEF1, and ELMO1 is associated with prolonged survival. Among the genes associated with the prognosis of liver cancer, the genes associated with shorter survival period are AGO2, DCPS, IFIT5, LARP1, NCBP2, NUDT10, and NUDT16; the genes associated with longevity are EIF4E3, EIF4G3, METTL1, NCBP1, NSUN2, NUDT11, NUDT4, and WDR4. Depending on the prognostic role of genes in different cancers, they can influence patients to achieve the effect of reducing patients' symptoms. In the process of disease analysis of cancer patients, this paper uses bioinformation technology and Internet of things technology to promote the development of medical intelligence.

摘要

肿瘤微环境的研究在癌症患者的治疗中起着重要作用。本文利用智能医疗物联网技术分析与癌症肿瘤微环境相关的基因。通过设计和分析癌症相关基因的实验,本研究得出结论:在宫颈癌中,P16基因高表达的患者生命周期较短,生存率为35%。此外,通过调查和访谈发现,P16和Twist基因表达阳性的患者比两者均为阴性表达的患者复发率更高;结肠癌中FDFT1、AKR1C1和ALOX12的高表达与生存期短有关;HMGCR和CARS1的高表达与生存期长有关;甲状腺癌中NDUFA12、FD6、VEZT、GDF3、PDE5A、GALNTL6、OPMR1和AOAH的过表达与生存期缩短有关;NR2C1、FN1、IPCEF1和ELMO1的高表达与生存期延长有关。在与肝癌预后相关的基因中,与生存期较短相关的基因有AGO2、DCPS、IFIT5、LARP1、NCBP2、NUDT10和NUDT16;与长寿相关的基因有EIF4E3、EIF4G3、METTL1、NCBP1、NSUN2、NUDT11、NUDT4和WDR4。根据基因在不同癌症中的预后作用,它们可以影响患者达到减轻患者症状的效果。在癌症患者的疾病分析过程中,本文利用生物信息技术和物联网技术推动医疗智能化的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a34/9947234/952ad922dee7/fgene-14-1132242-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a34/9947234/a3c31e55573f/fgene-14-1132242-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a34/9947234/d2387d4972ef/fgene-14-1132242-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a34/9947234/952ad922dee7/fgene-14-1132242-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a34/9947234/a3c31e55573f/fgene-14-1132242-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a34/9947234/d2387d4972ef/fgene-14-1132242-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a34/9947234/952ad922dee7/fgene-14-1132242-g003.jpg

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本文引用的文献

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