Cargando…
Identification of the RP11-21C4.1/SVEP1 gene pair associated with FAT2 mutations as a potential biomarker in gastric cancer
Gastric cancer (GC) is one of the most common malignancies worldwide. Despite rapid advances in systemic therapy, GC remains the third leading cause of cancer-related deaths. We aimed to identify a novel prognostic signature associated with FAT2 mutations in GC. We analyzed the expression levels of...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8806586/ https://www.ncbi.nlm.nih.gov/pubmed/34308747 http://dx.doi.org/10.1080/21655979.2021.1953211 |
_version_ | 1784643484440854528 |
---|---|
author | Zhou, Lingshan Yang, Yuan Liu, Min Gan, Yuling Liu, Rong Ren, Man Zheng, Ya Wang, Yuping Zhou, Yongning |
author_facet | Zhou, Lingshan Yang, Yuan Liu, Min Gan, Yuling Liu, Rong Ren, Man Zheng, Ya Wang, Yuping Zhou, Yongning |
author_sort | Zhou, Lingshan |
collection | PubMed |
description | Gastric cancer (GC) is one of the most common malignancies worldwide. Despite rapid advances in systemic therapy, GC remains the third leading cause of cancer-related deaths. We aimed to identify a novel prognostic signature associated with FAT2 mutations in GC. We analyzed the expression levels of FAT2-mutant and FAT2-wildtype GC samples obtained from The Cancer Genome Atlas (TCGA). The Kaplan–Meier survival curve showed that patients with FAT2 mutations showed better prognosis than those without the mutation. Sixteen long non-coding RNAs (lncRNAs) and 62 messenger RNAs (mRNAs) associated with FAT2 mutations were correlated with the prognosis of GC. We then constructed a 4-mRNA signature and a 5-lncRNA signature for GC. Finally, we identified the most relevant RP11-21 C4.1/SVEP1 gene pair as a prognostic signature of GC that exhibited superior predictive performance in comparison with the 4-mRNA or 5-lncRNA signature by weighted gene correlation network analysis (WGCNA) and Cox proportional hazards regression analysis. In this study, we constructed a prognostic signature of GC by integrative genomics analysis, which also provided insights into the molecular mechanisms linked to FAT2 mutations in GC. |
format | Online Article Text |
id | pubmed-8806586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-88065862022-02-02 Identification of the RP11-21C4.1/SVEP1 gene pair associated with FAT2 mutations as a potential biomarker in gastric cancer Zhou, Lingshan Yang, Yuan Liu, Min Gan, Yuling Liu, Rong Ren, Man Zheng, Ya Wang, Yuping Zhou, Yongning Bioengineered Research Paper Gastric cancer (GC) is one of the most common malignancies worldwide. Despite rapid advances in systemic therapy, GC remains the third leading cause of cancer-related deaths. We aimed to identify a novel prognostic signature associated with FAT2 mutations in GC. We analyzed the expression levels of FAT2-mutant and FAT2-wildtype GC samples obtained from The Cancer Genome Atlas (TCGA). The Kaplan–Meier survival curve showed that patients with FAT2 mutations showed better prognosis than those without the mutation. Sixteen long non-coding RNAs (lncRNAs) and 62 messenger RNAs (mRNAs) associated with FAT2 mutations were correlated with the prognosis of GC. We then constructed a 4-mRNA signature and a 5-lncRNA signature for GC. Finally, we identified the most relevant RP11-21 C4.1/SVEP1 gene pair as a prognostic signature of GC that exhibited superior predictive performance in comparison with the 4-mRNA or 5-lncRNA signature by weighted gene correlation network analysis (WGCNA) and Cox proportional hazards regression analysis. In this study, we constructed a prognostic signature of GC by integrative genomics analysis, which also provided insights into the molecular mechanisms linked to FAT2 mutations in GC. Taylor & Francis 2021-07-24 /pmc/articles/PMC8806586/ /pubmed/34308747 http://dx.doi.org/10.1080/21655979.2021.1953211 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Zhou, Lingshan Yang, Yuan Liu, Min Gan, Yuling Liu, Rong Ren, Man Zheng, Ya Wang, Yuping Zhou, Yongning Identification of the RP11-21C4.1/SVEP1 gene pair associated with FAT2 mutations as a potential biomarker in gastric cancer |
title | Identification of the RP11-21C4.1/SVEP1 gene pair associated with FAT2 mutations as a potential biomarker in gastric cancer |
title_full | Identification of the RP11-21C4.1/SVEP1 gene pair associated with FAT2 mutations as a potential biomarker in gastric cancer |
title_fullStr | Identification of the RP11-21C4.1/SVEP1 gene pair associated with FAT2 mutations as a potential biomarker in gastric cancer |
title_full_unstemmed | Identification of the RP11-21C4.1/SVEP1 gene pair associated with FAT2 mutations as a potential biomarker in gastric cancer |
title_short | Identification of the RP11-21C4.1/SVEP1 gene pair associated with FAT2 mutations as a potential biomarker in gastric cancer |
title_sort | identification of the rp11-21c4.1/svep1 gene pair associated with fat2 mutations as a potential biomarker in gastric cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8806586/ https://www.ncbi.nlm.nih.gov/pubmed/34308747 http://dx.doi.org/10.1080/21655979.2021.1953211 |
work_keys_str_mv | AT zhoulingshan identificationoftherp1121c41svep1genepairassociatedwithfat2mutationsasapotentialbiomarkeringastriccancer AT yangyuan identificationoftherp1121c41svep1genepairassociatedwithfat2mutationsasapotentialbiomarkeringastriccancer AT liumin identificationoftherp1121c41svep1genepairassociatedwithfat2mutationsasapotentialbiomarkeringastriccancer AT ganyuling identificationoftherp1121c41svep1genepairassociatedwithfat2mutationsasapotentialbiomarkeringastriccancer AT liurong identificationoftherp1121c41svep1genepairassociatedwithfat2mutationsasapotentialbiomarkeringastriccancer AT renman identificationoftherp1121c41svep1genepairassociatedwithfat2mutationsasapotentialbiomarkeringastriccancer AT zhengya identificationoftherp1121c41svep1genepairassociatedwithfat2mutationsasapotentialbiomarkeringastriccancer AT wangyuping identificationoftherp1121c41svep1genepairassociatedwithfat2mutationsasapotentialbiomarkeringastriccancer AT zhouyongning identificationoftherp1121c41svep1genepairassociatedwithfat2mutationsasapotentialbiomarkeringastriccancer |