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Integrative Analysis of Siglec-15 mRNA in Human Cancers Based on Data Mining
Objective: Cancer is expected to be the leading cause of death worldwide within the 21st century and is the single most important obstacle to extending life expectancy. Unfortunately, the most effective approach to combating cancers remains a complex and unsolved problem. Siglec-15 is a member of th...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066007/ https://www.ncbi.nlm.nih.gov/pubmed/32201516 http://dx.doi.org/10.7150/jca.38747 |
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author | Li, Qiu-ting Huang, Zao-zao Chen, Yao-bin Yao, Hong-yi Ke, Zun-hui He, Xiao- xiao Qiu, Meng-jun Wang, Meng-meng Xiong, Zhi-fan Yang, Sheng-li |
author_facet | Li, Qiu-ting Huang, Zao-zao Chen, Yao-bin Yao, Hong-yi Ke, Zun-hui He, Xiao- xiao Qiu, Meng-jun Wang, Meng-meng Xiong, Zhi-fan Yang, Sheng-li |
author_sort | Li, Qiu-ting |
collection | PubMed |
description | Objective: Cancer is expected to be the leading cause of death worldwide within the 21st century and is the single most important obstacle to extending life expectancy. Unfortunately, the most effective approach to combating cancers remains a complex and unsolved problem. Siglec-15 is a member of the Siglec family and plays a conserved regulatory role in the immune system of vertebrates. Previous studies on Siglec-15 have focused on its function in osteoclast regulation. The purpose of this study was to explore the significance of Siglec-15 mRNA in human cancer mainly based on information obtained from online databases. Method: Data were collected from several online databases. Serial analysis of gene expression (SAGE) and Virtual Northern, UALCAN Database Analysis, Catalog of Somatic Mutations in Cancer (COSMIC) analysis, the cBio cancer genomics portal, Cancer Regulome tools and data, Kaplan-Meier Plotter Analysis and the UCSC Xena website were used to analyze the data. Results: Compared with normal tissues, Siglec-15 up-regulation was widely observed in tuomrs. Differences in Siglec-15 expression were associated with different prognoses. Siglec-15 mutations are widely observed in tumors and interact with different genes in different cancer types. Conclusion: Siglec-15 is a potential target for the expansion of cancer immunotherapy. |
format | Online Article Text |
id | pubmed-7066007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-70660072020-03-20 Integrative Analysis of Siglec-15 mRNA in Human Cancers Based on Data Mining Li, Qiu-ting Huang, Zao-zao Chen, Yao-bin Yao, Hong-yi Ke, Zun-hui He, Xiao- xiao Qiu, Meng-jun Wang, Meng-meng Xiong, Zhi-fan Yang, Sheng-li J Cancer Research Paper Objective: Cancer is expected to be the leading cause of death worldwide within the 21st century and is the single most important obstacle to extending life expectancy. Unfortunately, the most effective approach to combating cancers remains a complex and unsolved problem. Siglec-15 is a member of the Siglec family and plays a conserved regulatory role in the immune system of vertebrates. Previous studies on Siglec-15 have focused on its function in osteoclast regulation. The purpose of this study was to explore the significance of Siglec-15 mRNA in human cancer mainly based on information obtained from online databases. Method: Data were collected from several online databases. Serial analysis of gene expression (SAGE) and Virtual Northern, UALCAN Database Analysis, Catalog of Somatic Mutations in Cancer (COSMIC) analysis, the cBio cancer genomics portal, Cancer Regulome tools and data, Kaplan-Meier Plotter Analysis and the UCSC Xena website were used to analyze the data. Results: Compared with normal tissues, Siglec-15 up-regulation was widely observed in tuomrs. Differences in Siglec-15 expression were associated with different prognoses. Siglec-15 mutations are widely observed in tumors and interact with different genes in different cancer types. Conclusion: Siglec-15 is a potential target for the expansion of cancer immunotherapy. Ivyspring International Publisher 2020-02-10 /pmc/articles/PMC7066007/ /pubmed/32201516 http://dx.doi.org/10.7150/jca.38747 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Li, Qiu-ting Huang, Zao-zao Chen, Yao-bin Yao, Hong-yi Ke, Zun-hui He, Xiao- xiao Qiu, Meng-jun Wang, Meng-meng Xiong, Zhi-fan Yang, Sheng-li Integrative Analysis of Siglec-15 mRNA in Human Cancers Based on Data Mining |
title | Integrative Analysis of Siglec-15 mRNA in Human Cancers Based on Data Mining |
title_full | Integrative Analysis of Siglec-15 mRNA in Human Cancers Based on Data Mining |
title_fullStr | Integrative Analysis of Siglec-15 mRNA in Human Cancers Based on Data Mining |
title_full_unstemmed | Integrative Analysis of Siglec-15 mRNA in Human Cancers Based on Data Mining |
title_short | Integrative Analysis of Siglec-15 mRNA in Human Cancers Based on Data Mining |
title_sort | integrative analysis of siglec-15 mrna in human cancers based on data mining |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066007/ https://www.ncbi.nlm.nih.gov/pubmed/32201516 http://dx.doi.org/10.7150/jca.38747 |
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