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Identification of New Therapeutic Targets for Gastric Cancer With Bioinformatics
We aimed to identify new targets affecting gastric cancer (GC) prognosis. Six target genes were identified from hub genes based on their relationship with important factors affecting tumor progression, like immune infiltration, purity, tumor mutation burden (TMB), and tumor microenvironment (TME) sc...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7461879/ https://www.ncbi.nlm.nih.gov/pubmed/33014013 http://dx.doi.org/10.3389/fgene.2020.00865 |
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author | Li, Yang Wang, Jin-Shen Zhang, Tao Wang, Hong-Chang Li, Le-Ping |
author_facet | Li, Yang Wang, Jin-Shen Zhang, Tao Wang, Hong-Chang Li, Le-Ping |
author_sort | Li, Yang |
collection | PubMed |
description | We aimed to identify new targets affecting gastric cancer (GC) prognosis. Six target genes were identified from hub genes based on their relationship with important factors affecting tumor progression, like immune infiltration, purity, tumor mutation burden (TMB), and tumor microenvironment (TME) score. The effect of target genes’ somatic mutations and copy number alteration (CNA) was examined to determine their effect on GC prognosis. Six target genes (FBN1, FN1, HGF, MMP9, THBS1, and VCAN) were identified. Reduced expression of each target gene, except MMP9, indicated better prognosis and lower grade in GC. FBN1, THBS1, and VCAN showed lower expression in stage I GC. Non-silencing mutations of the six genes played a role in significantly higher TMB and TME scores. THBS1 mutation was associated with earlier stage GC, and VCAN mutation was associated with lower grade GC. However, patients with target gene CNA displayed higher tumor purity. MMP9, THBS1, and VCAN CNA was associated with lower grade GC, while FBN1 CNA reflected earlier T stage. Additionally, the target genes may affect GC prognosis by influencing multiple oncogenic signaling pathways. FBN1, FN1, HGF, MMP9, THBS1, and VCAN may be new GC prognostic targets by affecting tumor purity, TMB, TME score, and multiple oncogenic signaling pathways. |
format | Online Article Text |
id | pubmed-7461879 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74618792020-10-01 Identification of New Therapeutic Targets for Gastric Cancer With Bioinformatics Li, Yang Wang, Jin-Shen Zhang, Tao Wang, Hong-Chang Li, Le-Ping Front Genet Genetics We aimed to identify new targets affecting gastric cancer (GC) prognosis. Six target genes were identified from hub genes based on their relationship with important factors affecting tumor progression, like immune infiltration, purity, tumor mutation burden (TMB), and tumor microenvironment (TME) score. The effect of target genes’ somatic mutations and copy number alteration (CNA) was examined to determine their effect on GC prognosis. Six target genes (FBN1, FN1, HGF, MMP9, THBS1, and VCAN) were identified. Reduced expression of each target gene, except MMP9, indicated better prognosis and lower grade in GC. FBN1, THBS1, and VCAN showed lower expression in stage I GC. Non-silencing mutations of the six genes played a role in significantly higher TMB and TME scores. THBS1 mutation was associated with earlier stage GC, and VCAN mutation was associated with lower grade GC. However, patients with target gene CNA displayed higher tumor purity. MMP9, THBS1, and VCAN CNA was associated with lower grade GC, while FBN1 CNA reflected earlier T stage. Additionally, the target genes may affect GC prognosis by influencing multiple oncogenic signaling pathways. FBN1, FN1, HGF, MMP9, THBS1, and VCAN may be new GC prognostic targets by affecting tumor purity, TMB, TME score, and multiple oncogenic signaling pathways. Frontiers Media S.A. 2020-08-18 /pmc/articles/PMC7461879/ /pubmed/33014013 http://dx.doi.org/10.3389/fgene.2020.00865 Text en Copyright © 2020 Li, Wang, Zhang, Wang and Li. http://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 Li, Yang Wang, Jin-Shen Zhang, Tao Wang, Hong-Chang Li, Le-Ping Identification of New Therapeutic Targets for Gastric Cancer With Bioinformatics |
title | Identification of New Therapeutic Targets for Gastric Cancer With Bioinformatics |
title_full | Identification of New Therapeutic Targets for Gastric Cancer With Bioinformatics |
title_fullStr | Identification of New Therapeutic Targets for Gastric Cancer With Bioinformatics |
title_full_unstemmed | Identification of New Therapeutic Targets for Gastric Cancer With Bioinformatics |
title_short | Identification of New Therapeutic Targets for Gastric Cancer With Bioinformatics |
title_sort | identification of new therapeutic targets for gastric cancer with bioinformatics |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7461879/ https://www.ncbi.nlm.nih.gov/pubmed/33014013 http://dx.doi.org/10.3389/fgene.2020.00865 |
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