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

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 stud...

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Autores principales: Ren, Shoulei, Cao, Wenli, Ma, Jianzeng, Li, Hongchun, Xia, Yutao, Zhao, Jianwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947234/
https://www.ncbi.nlm.nih.gov/pubmed/36845384
http://dx.doi.org/10.3389/fgene.2023.1132242
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author Ren, Shoulei
Cao, Wenli
Ma, Jianzeng
Li, Hongchun
Xia, Yutao
Zhao, Jianwen
author_facet Ren, Shoulei
Cao, Wenli
Ma, Jianzeng
Li, Hongchun
Xia, Yutao
Zhao, Jianwen
author_sort Ren, Shoulei
collection PubMed
description 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.
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spelling pubmed-99472342023-02-24 Correlation evaluation between cancer microenvironment related genes and prognosis based on intelligent medical internet of things Ren, Shoulei Cao, Wenli Ma, Jianzeng Li, Hongchun Xia, Yutao Zhao, Jianwen Front Genet Genetics 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. Frontiers Media S.A. 2023-02-09 /pmc/articles/PMC9947234/ /pubmed/36845384 http://dx.doi.org/10.3389/fgene.2023.1132242 Text en Copyright © 2023 Ren, Cao, Ma, Li, Xia and Zhao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Ren, Shoulei
Cao, Wenli
Ma, Jianzeng
Li, Hongchun
Xia, Yutao
Zhao, Jianwen
Correlation evaluation between cancer microenvironment related genes and prognosis based on intelligent medical internet of things
title Correlation evaluation between cancer microenvironment related genes and prognosis based on intelligent medical internet of things
title_full Correlation evaluation between cancer microenvironment related genes and prognosis based on intelligent medical internet of things
title_fullStr Correlation evaluation between cancer microenvironment related genes and prognosis based on intelligent medical internet of things
title_full_unstemmed Correlation evaluation between cancer microenvironment related genes and prognosis based on intelligent medical internet of things
title_short Correlation evaluation between cancer microenvironment related genes and prognosis based on intelligent medical internet of things
title_sort correlation evaluation between cancer microenvironment related genes and prognosis based on intelligent medical internet of things
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947234/
https://www.ncbi.nlm.nih.gov/pubmed/36845384
http://dx.doi.org/10.3389/fgene.2023.1132242
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