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A Prognostic Model Based on the Immune-Related lncRNAs in Colorectal Cancer

BACKGROUND: Colorectal cancer (CRC) is one of the most common malignant tumors with a poor prognosis. At present, the pathogenesis is not completely clear. Therefore, finding reliable prognostic indicators for CRC is of important clinical significance. In this study, bioinformatics methods were used...

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Autores principales: Qin, Fengxia, Xu, Houxi, Wei, Guoli, Ji, Yi, Yu, Jialin, Hu, Canhong, Yuan, Chunyi, Ma, Yuzhu, Qian, Jun, Li, Lingchang, Huo, Jiege
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093825/
https://www.ncbi.nlm.nih.gov/pubmed/33959151
http://dx.doi.org/10.3389/fgene.2021.658736
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author Qin, Fengxia
Xu, Houxi
Wei, Guoli
Ji, Yi
Yu, Jialin
Hu, Canhong
Yuan, Chunyi
Ma, Yuzhu
Qian, Jun
Li, Lingchang
Huo, Jiege
author_facet Qin, Fengxia
Xu, Houxi
Wei, Guoli
Ji, Yi
Yu, Jialin
Hu, Canhong
Yuan, Chunyi
Ma, Yuzhu
Qian, Jun
Li, Lingchang
Huo, Jiege
author_sort Qin, Fengxia
collection PubMed
description BACKGROUND: Colorectal cancer (CRC) is one of the most common malignant tumors with a poor prognosis. At present, the pathogenesis is not completely clear. Therefore, finding reliable prognostic indicators for CRC is of important clinical significance. In this study, bioinformatics methods were used to screen the prognostic immune-related lncRNAs of CRC, and a prognostic risk scoring model based on immune-related lncRNAs signatures were constructed to provide a basis for prognostic evaluation and immunotherapy of CRC patients. METHODS: The clinical information and RNA-seq data of CRC patients were obtained from The Cancer Genome Atlas (TCGA) database. The information of immune-related lncRNA was downloaded from the immunology database and analysis portal. The differentially expressed immune-related lncRNAs (IRLs) were screened by the edgeR package of R software. The prognostic value of IRLs was studied. Based on Cox regression analysis, a prognostic index (IRLPI) based on IRLs was established, and the relationship between the risk score and the clinicopathological characteristics of CRC was analyzed to determine the effectiveness of the risk score model as an independent prognostic factor. RESULTS: A total of 240 differentially expressed IRLs were identified between normal colorectal cancer tissues and normal colorectal cancer tissues, in which 8 were significantly associated with the survival of CRC patients (P < 0.05), including LINC00461, LINC01055, ELFN1-AS1, LMO7-AS1, CYP4A22-AS1, AC079612.1, LINC01351, and MIR31HG. And most of the lncRNAs related to survival were risk factors for the prognosis of CRC. The index established based on the 7 survival-related IRLs found to be highly accurate in monitoring CRC prognosis. Besides, IRLPI was significantly correlated with a variety of pathological factors and immune cell infiltration. CONCLUSION: Eight immune-related lncRNAs closely related to the prognosis of CRC patients were identified from the TCGA database. At the same time, an independent IRLPI was constructed, which may be helpful for clinicians to assess the prognosis of patients with CRC and to formulate individualized treatment plans.
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spelling pubmed-80938252021-05-05 A Prognostic Model Based on the Immune-Related lncRNAs in Colorectal Cancer Qin, Fengxia Xu, Houxi Wei, Guoli Ji, Yi Yu, Jialin Hu, Canhong Yuan, Chunyi Ma, Yuzhu Qian, Jun Li, Lingchang Huo, Jiege Front Genet Genetics BACKGROUND: Colorectal cancer (CRC) is one of the most common malignant tumors with a poor prognosis. At present, the pathogenesis is not completely clear. Therefore, finding reliable prognostic indicators for CRC is of important clinical significance. In this study, bioinformatics methods were used to screen the prognostic immune-related lncRNAs of CRC, and a prognostic risk scoring model based on immune-related lncRNAs signatures were constructed to provide a basis for prognostic evaluation and immunotherapy of CRC patients. METHODS: The clinical information and RNA-seq data of CRC patients were obtained from The Cancer Genome Atlas (TCGA) database. The information of immune-related lncRNA was downloaded from the immunology database and analysis portal. The differentially expressed immune-related lncRNAs (IRLs) were screened by the edgeR package of R software. The prognostic value of IRLs was studied. Based on Cox regression analysis, a prognostic index (IRLPI) based on IRLs was established, and the relationship between the risk score and the clinicopathological characteristics of CRC was analyzed to determine the effectiveness of the risk score model as an independent prognostic factor. RESULTS: A total of 240 differentially expressed IRLs were identified between normal colorectal cancer tissues and normal colorectal cancer tissues, in which 8 were significantly associated with the survival of CRC patients (P < 0.05), including LINC00461, LINC01055, ELFN1-AS1, LMO7-AS1, CYP4A22-AS1, AC079612.1, LINC01351, and MIR31HG. And most of the lncRNAs related to survival were risk factors for the prognosis of CRC. The index established based on the 7 survival-related IRLs found to be highly accurate in monitoring CRC prognosis. Besides, IRLPI was significantly correlated with a variety of pathological factors and immune cell infiltration. CONCLUSION: Eight immune-related lncRNAs closely related to the prognosis of CRC patients were identified from the TCGA database. At the same time, an independent IRLPI was constructed, which may be helpful for clinicians to assess the prognosis of patients with CRC and to formulate individualized treatment plans. Frontiers Media S.A. 2021-04-20 /pmc/articles/PMC8093825/ /pubmed/33959151 http://dx.doi.org/10.3389/fgene.2021.658736 Text en Copyright © 2021 Qin, Xu, Wei, Ji, Yu, Hu, Yuan, Ma, Qian, Li and Huo. https://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
Qin, Fengxia
Xu, Houxi
Wei, Guoli
Ji, Yi
Yu, Jialin
Hu, Canhong
Yuan, Chunyi
Ma, Yuzhu
Qian, Jun
Li, Lingchang
Huo, Jiege
A Prognostic Model Based on the Immune-Related lncRNAs in Colorectal Cancer
title A Prognostic Model Based on the Immune-Related lncRNAs in Colorectal Cancer
title_full A Prognostic Model Based on the Immune-Related lncRNAs in Colorectal Cancer
title_fullStr A Prognostic Model Based on the Immune-Related lncRNAs in Colorectal Cancer
title_full_unstemmed A Prognostic Model Based on the Immune-Related lncRNAs in Colorectal Cancer
title_short A Prognostic Model Based on the Immune-Related lncRNAs in Colorectal Cancer
title_sort prognostic model based on the immune-related lncrnas in colorectal cancer
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093825/
https://www.ncbi.nlm.nih.gov/pubmed/33959151
http://dx.doi.org/10.3389/fgene.2021.658736
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