Immune-Related lncRNAs to Construct Novel Signatures and Predict the Prognosis of Rectal Cancer

Colorectal cancer (CRC) is one of the most common cancers. Almost 1/3 of CRC are rectal cancer, and 95% of rectal cancers are rectal adenocarcinoma (READ). Increasing evidences indicated that long noncoding RNAs (lncRNAs) have important role in the genesis and development of cancers. The purpose of...

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Main Authors: Xiao-Liang Xing, Chaoqun Xing, Zhi Huang, Zhi-Yong Yao, Yuan-Wu Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.661846/full
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author Xiao-Liang Xing
Xiao-Liang Xing
Chaoqun Xing
Chaoqun Xing
Zhi Huang
Zhi Huang
Zhi-Yong Yao
Zhi-Yong Yao
Yuan-Wu Liu
author_facet Xiao-Liang Xing
Xiao-Liang Xing
Chaoqun Xing
Chaoqun Xing
Zhi Huang
Zhi Huang
Zhi-Yong Yao
Zhi-Yong Yao
Yuan-Wu Liu
author_sort Xiao-Liang Xing
collection DOAJ
description Colorectal cancer (CRC) is one of the most common cancers. Almost 1/3 of CRC are rectal cancer, and 95% of rectal cancers are rectal adenocarcinoma (READ). Increasing evidences indicated that long noncoding RNAs (lncRNAs) have important role in the genesis and development of cancers. The purpose of our present study was to identify the differential expression lncRNAs which potentially related with immune cells infiltration and establish a risk assessment model to predict the clinical outcome for READ patients. We obtained three immune-related differential expression lncRNAs (IR-DELs) (C17orf77, GATA2-AS1, and TPT1-AS1) by differential expression analysis following correlation analysis and Cox regression analysis. A risk assessment model were constructed by integrating these analysis results. We then plotted the 1-, 3-, and 5-year ROC curves depending on our risk assessment model, which suggested that all AUC values were over 0.7. In addition, we found that the risk assessment model was correlated with several immune cells and factors. This study suggested that those three signatures (C17orf77, GATA2-AS1, and TPT1-AS1) screened by pairing IR-DELs could be prognosis markers for READ patients and might benefit them from antitumor immunotherapy.
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spelling doaj.art-a8b3133fda814cebb4fe704d6f5243df2022-12-21T20:01:00ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-08-011110.3389/fonc.2021.661846661846Immune-Related lncRNAs to Construct Novel Signatures and Predict the Prognosis of Rectal CancerXiao-Liang Xing0Xiao-Liang Xing1Chaoqun Xing2Chaoqun Xing3Zhi Huang4Zhi Huang5Zhi-Yong Yao6Zhi-Yong Yao7Yuan-Wu Liu8School of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, ChinaDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, ChinaSchool of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, ChinaDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, ChinaSchool of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, ChinaDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, ChinaSchool of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, ChinaDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, ChinaBeijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, ChinaColorectal cancer (CRC) is one of the most common cancers. Almost 1/3 of CRC are rectal cancer, and 95% of rectal cancers are rectal adenocarcinoma (READ). Increasing evidences indicated that long noncoding RNAs (lncRNAs) have important role in the genesis and development of cancers. The purpose of our present study was to identify the differential expression lncRNAs which potentially related with immune cells infiltration and establish a risk assessment model to predict the clinical outcome for READ patients. We obtained three immune-related differential expression lncRNAs (IR-DELs) (C17orf77, GATA2-AS1, and TPT1-AS1) by differential expression analysis following correlation analysis and Cox regression analysis. A risk assessment model were constructed by integrating these analysis results. We then plotted the 1-, 3-, and 5-year ROC curves depending on our risk assessment model, which suggested that all AUC values were over 0.7. In addition, we found that the risk assessment model was correlated with several immune cells and factors. This study suggested that those three signatures (C17orf77, GATA2-AS1, and TPT1-AS1) screened by pairing IR-DELs could be prognosis markers for READ patients and might benefit them from antitumor immunotherapy.https://www.frontiersin.org/articles/10.3389/fonc.2021.661846/fullREADimmuneLncRNAsoverall survivalrisk model
spellingShingle Xiao-Liang Xing
Xiao-Liang Xing
Chaoqun Xing
Chaoqun Xing
Zhi Huang
Zhi Huang
Zhi-Yong Yao
Zhi-Yong Yao
Yuan-Wu Liu
Immune-Related lncRNAs to Construct Novel Signatures and Predict the Prognosis of Rectal Cancer
Frontiers in Oncology
READ
immune
LncRNAs
overall survival
risk model
title Immune-Related lncRNAs to Construct Novel Signatures and Predict the Prognosis of Rectal Cancer
title_full Immune-Related lncRNAs to Construct Novel Signatures and Predict the Prognosis of Rectal Cancer
title_fullStr Immune-Related lncRNAs to Construct Novel Signatures and Predict the Prognosis of Rectal Cancer
title_full_unstemmed Immune-Related lncRNAs to Construct Novel Signatures and Predict the Prognosis of Rectal Cancer
title_short Immune-Related lncRNAs to Construct Novel Signatures and Predict the Prognosis of Rectal Cancer
title_sort immune related lncrnas to construct novel signatures and predict the prognosis of rectal cancer
topic READ
immune
LncRNAs
overall survival
risk model
url https://www.frontiersin.org/articles/10.3389/fonc.2021.661846/full
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