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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...

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Autores principales: Zhou, Lingshan, Yang, Yuan, Liu, Min, Gan, Yuling, Liu, Rong, Ren, Man, Zheng, Ya, Wang, Yuping, Zhou, Yongning
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
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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.
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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
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