A novel 10-gene immune-related lncRNA signature model for the prognosis of colorectal cancer

Background: The tumor immune microenvironment of colorectal cancer (CRC) affects tumor development, prognosis and immunotherapy strategies. Recently, immune-related lncRNA were shown to play vital roles in the tumor immune microenvironment. The objective of this study was to identify lncRNAs involv...

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Autores principales: Bin Ma, Lianqun Cao, Yongmin Li
Formato: article
Lenguaje:EN
Publicado: AIMS Press 2021
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Acceso en línea:https://doaj.org/article/33a01ea25f7447d08093e6cc77a278e6
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spelling oai:doaj.org-article:33a01ea25f7447d08093e6cc77a278e62021-11-29T06:37:47ZA novel 10-gene immune-related lncRNA signature model for the prognosis of colorectal cancer10.3934/mbe.20214771551-0018https://doaj.org/article/33a01ea25f7447d08093e6cc77a278e62021-11-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021477?viewType=HTMLhttps://doaj.org/toc/1551-0018Background: The tumor immune microenvironment of colorectal cancer (CRC) affects tumor development, prognosis and immunotherapy strategies. Recently, immune-related lncRNA were shown to play vital roles in the tumor immune microenvironment. The objective of this study was to identify lncRNAs involved in the immune response, tumorigenesis and progression of CRC and to establish an immune-related lncRNA signature for predicting the prognosis of CRC. Methods: We used data retrieved from the cancer genome atlas (TCGA) dataset to construct a 10-gene immune-related lncRNA pair (IRLP) signature model using a method based on the ranking and comparison of paired gene expression in CRC. The clinical prognosis, immune checkpoints and lncRNA-protein networks were analyzed to evaluate the signature. Results: The signature was closely associated with overall survival of CRC patients (p < 0.001 in both of the training and validating cohorts) and the 3-year AUC values for the training and validating cohorts were 0.884 and 0.739, respectively. And, there were positive correlations between the signature and age (p = 0.048), clinical stage (p < 0.01), T stage (p < 0.01), N stage (p < 0.001) and M stage (p < 0.01). In addition, the signature model appeared to be highly relevant to some checkpoints, including CD160, TNFSF15, HHLA2, IDO2 and KIR3DL1. Further, molecular functional analysis and lncRNA-protein networks were applied to understand the molecular mechanisms underlying the carcinogenic effect and progression. Conclusion: The 10-gene IRLP signature model is an independent prognostic factor for CRC patient and can be utilized for the development of immunotherapy.Bin MaLianqun Cao Yongmin Li AIMS Pressarticlecolorectal cancertcgaimmune-related lncrnaoverall survivalcheckpointBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 9743-9760 (2021)
institution DOAJ
collection DOAJ
language EN
topic colorectal cancer
tcga
immune-related lncrna
overall survival
checkpoint
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
spellingShingle colorectal cancer
tcga
immune-related lncrna
overall survival
checkpoint
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
Bin Ma
Lianqun Cao
Yongmin Li
A novel 10-gene immune-related lncRNA signature model for the prognosis of colorectal cancer
description Background: The tumor immune microenvironment of colorectal cancer (CRC) affects tumor development, prognosis and immunotherapy strategies. Recently, immune-related lncRNA were shown to play vital roles in the tumor immune microenvironment. The objective of this study was to identify lncRNAs involved in the immune response, tumorigenesis and progression of CRC and to establish an immune-related lncRNA signature for predicting the prognosis of CRC. Methods: We used data retrieved from the cancer genome atlas (TCGA) dataset to construct a 10-gene immune-related lncRNA pair (IRLP) signature model using a method based on the ranking and comparison of paired gene expression in CRC. The clinical prognosis, immune checkpoints and lncRNA-protein networks were analyzed to evaluate the signature. Results: The signature was closely associated with overall survival of CRC patients (p < 0.001 in both of the training and validating cohorts) and the 3-year AUC values for the training and validating cohorts were 0.884 and 0.739, respectively. And, there were positive correlations between the signature and age (p = 0.048), clinical stage (p < 0.01), T stage (p < 0.01), N stage (p < 0.001) and M stage (p < 0.01). In addition, the signature model appeared to be highly relevant to some checkpoints, including CD160, TNFSF15, HHLA2, IDO2 and KIR3DL1. Further, molecular functional analysis and lncRNA-protein networks were applied to understand the molecular mechanisms underlying the carcinogenic effect and progression. Conclusion: The 10-gene IRLP signature model is an independent prognostic factor for CRC patient and can be utilized for the development of immunotherapy.
format article
author Bin Ma
Lianqun Cao
Yongmin Li
author_facet Bin Ma
Lianqun Cao
Yongmin Li
author_sort Bin Ma
title A novel 10-gene immune-related lncRNA signature model for the prognosis of colorectal cancer
title_short A novel 10-gene immune-related lncRNA signature model for the prognosis of colorectal cancer
title_full A novel 10-gene immune-related lncRNA signature model for the prognosis of colorectal cancer
title_fullStr A novel 10-gene immune-related lncRNA signature model for the prognosis of colorectal cancer
title_full_unstemmed A novel 10-gene immune-related lncRNA signature model for the prognosis of colorectal cancer
title_sort novel 10-gene immune-related lncrna signature model for the prognosis of colorectal cancer
publisher AIMS Press
publishDate 2021
url https://doaj.org/article/33a01ea25f7447d08093e6cc77a278e6
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