Cargando…
Construction of a Prognostic Immune-Related LncRNA Risk Model for Gastric Cancer
Gastric cancer (GC) is one of the most common malignancies, and novel prognostic biomarkers for it are urgently required. This study is aimed at screening a group of immune-related lncRNAs (IRLs) in predicting the prognosis of GC patients. Genetic and clinical information from the 360 GC patients wa...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252720/ https://www.ncbi.nlm.nih.gov/pubmed/35794986 http://dx.doi.org/10.1155/2022/5137627 |
_version_ | 1784740331401510912 |
---|---|
author | Ding, Wei Sun, Pengcheng Tan, Yulin Jiang, Huaji Xi, Cheng Zhuang, Ling Xu, Yixin Xu, Xuezhong |
author_facet | Ding, Wei Sun, Pengcheng Tan, Yulin Jiang, Huaji Xi, Cheng Zhuang, Ling Xu, Yixin Xu, Xuezhong |
author_sort | Ding, Wei |
collection | PubMed |
description | Gastric cancer (GC) is one of the most common malignancies, and novel prognostic biomarkers for it are urgently required. This study is aimed at screening a group of immune-related lncRNAs (IRLs) in predicting the prognosis of GC patients. Genetic and clinical information from the 360 GC patients was included in this study. Eight IRLs in lncRNA-miRNA-mRNA network were screened out according to differential expression analysis. A novel risk score model with three IRLs (MIR4435-1HG, UCA1, and RP11-617F23.1) were identified, and patients were assigned to a high-risk group and a low-risk group. Patients in the low-risk group had a better prognosis. In addition, two nomograms were developed to predict the prognosis of GC. We evaluated the correlation between IRLs and the immune infiltration level of GC using TIMER. Furthermore, we verified that RP11-617F23.1 was significantly upregulated in human GC tissues compared with their adjacent tissues. And, patients with high RP11-617F23.1 expression in tumor tissues had poorer survival. In conclusion, we established a novel risk model based on IRLs for predicting the prognosis of GC. Meanwhile, a novel IRL, RP11-617F23.1, could serve as a predictor of prognosis for patients with GC. |
format | Online Article Text |
id | pubmed-9252720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92527202022-07-05 Construction of a Prognostic Immune-Related LncRNA Risk Model for Gastric Cancer Ding, Wei Sun, Pengcheng Tan, Yulin Jiang, Huaji Xi, Cheng Zhuang, Ling Xu, Yixin Xu, Xuezhong J Oncol Research Article Gastric cancer (GC) is one of the most common malignancies, and novel prognostic biomarkers for it are urgently required. This study is aimed at screening a group of immune-related lncRNAs (IRLs) in predicting the prognosis of GC patients. Genetic and clinical information from the 360 GC patients was included in this study. Eight IRLs in lncRNA-miRNA-mRNA network were screened out according to differential expression analysis. A novel risk score model with three IRLs (MIR4435-1HG, UCA1, and RP11-617F23.1) were identified, and patients were assigned to a high-risk group and a low-risk group. Patients in the low-risk group had a better prognosis. In addition, two nomograms were developed to predict the prognosis of GC. We evaluated the correlation between IRLs and the immune infiltration level of GC using TIMER. Furthermore, we verified that RP11-617F23.1 was significantly upregulated in human GC tissues compared with their adjacent tissues. And, patients with high RP11-617F23.1 expression in tumor tissues had poorer survival. In conclusion, we established a novel risk model based on IRLs for predicting the prognosis of GC. Meanwhile, a novel IRL, RP11-617F23.1, could serve as a predictor of prognosis for patients with GC. Hindawi 2022-06-25 /pmc/articles/PMC9252720/ /pubmed/35794986 http://dx.doi.org/10.1155/2022/5137627 Text en Copyright © 2022 Wei Ding et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ding, Wei Sun, Pengcheng Tan, Yulin Jiang, Huaji Xi, Cheng Zhuang, Ling Xu, Yixin Xu, Xuezhong Construction of a Prognostic Immune-Related LncRNA Risk Model for Gastric Cancer |
title | Construction of a Prognostic Immune-Related LncRNA Risk Model for Gastric Cancer |
title_full | Construction of a Prognostic Immune-Related LncRNA Risk Model for Gastric Cancer |
title_fullStr | Construction of a Prognostic Immune-Related LncRNA Risk Model for Gastric Cancer |
title_full_unstemmed | Construction of a Prognostic Immune-Related LncRNA Risk Model for Gastric Cancer |
title_short | Construction of a Prognostic Immune-Related LncRNA Risk Model for Gastric Cancer |
title_sort | construction of a prognostic immune-related lncrna risk model for gastric cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252720/ https://www.ncbi.nlm.nih.gov/pubmed/35794986 http://dx.doi.org/10.1155/2022/5137627 |
work_keys_str_mv | AT dingwei constructionofaprognosticimmunerelatedlncrnariskmodelforgastriccancer AT sunpengcheng constructionofaprognosticimmunerelatedlncrnariskmodelforgastriccancer AT tanyulin constructionofaprognosticimmunerelatedlncrnariskmodelforgastriccancer AT jianghuaji constructionofaprognosticimmunerelatedlncrnariskmodelforgastriccancer AT xicheng constructionofaprognosticimmunerelatedlncrnariskmodelforgastriccancer AT zhuangling constructionofaprognosticimmunerelatedlncrnariskmodelforgastriccancer AT xuyixin constructionofaprognosticimmunerelatedlncrnariskmodelforgastriccancer AT xuxuezhong constructionofaprognosticimmunerelatedlncrnariskmodelforgastriccancer |