Six-lncRNA Immune Prognostic Signature for Cervical Cancer

BackgroundThis study searched for immune-related long noncoding RNAs (lncRNAs) to predict the prognosis of patients with cervical cancer.MethodWe obtained immunologically relevant lncRNA expression profiles and clinical follow-up data from cervical cancer patients from The Cancer Genome Atlas databa...

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Main Authors: Qian Chen, Lang Hu, Dongping Huang, Kaihua Chen, Xiaoqiang Qiu, Bingqing Qiu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.533628/full
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author Qian Chen
Lang Hu
Dongping Huang
Kaihua Chen
Xiaoqiang Qiu
Bingqing Qiu
author_facet Qian Chen
Lang Hu
Dongping Huang
Kaihua Chen
Xiaoqiang Qiu
Bingqing Qiu
author_sort Qian Chen
collection DOAJ
description BackgroundThis study searched for immune-related long noncoding RNAs (lncRNAs) to predict the prognosis of patients with cervical cancer.MethodWe obtained immunologically relevant lncRNA expression profiles and clinical follow-up data from cervical cancer patients from The Cancer Genome Atlas database and the Molecular Signatures Database. Cervical cancer patients were randomly divided into a training group, testing group and combined group. The immune prognostic signature was constructed by Least Absolute Shrinkage and Selection Operator Cox regression, prognosis was analyzed by Kaplan–Meier curves between different groups, and the accuracy of the prognostic model was assessed by receiver operating characteristic-area under the curve (ROC-AUC) analysis.ResultsA six-lncRNA immune prognostic signature (LIPS) was constructed to predict the prognosis of cervical cancer. The six lncRNAs are as follows: AC009065.8, LINC01871, MIR210HG, GEMIN7-AS1, GAS5-AS1, and DLEU1. A ROC-AUC analysis indicated that the model could predict the prognosis of cervical cancer patients in different subgroups. A Kaplan–Meier analysis showed that patients with high risk scores had a poor prognosis; these results were equally meaningful in the subgroup analyses. Risk scores differed depending on the clinical pathology and tumor grade and were independent risk factors for cervical cancer prognosis. Gene set enrichment analysis revealed an association between the LIPS and the immune response, Wnt signaling pathway, and TGF beta signaling pathway.ConclusionOur study shows that the six-LIPS can predict the prognosis of cervical cancer and contribute to decisions regarding the immunotherapeutic strategy.
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spelling doaj.art-81e1ac3a1f5c473198a506a6fba110272022-12-22T00:28:40ZengFrontiers Media S.A.Frontiers in Genetics1664-80212020-10-011110.3389/fgene.2020.533628533628Six-lncRNA Immune Prognostic Signature for Cervical CancerQian Chen0Lang Hu1Dongping Huang2Kaihua Chen3Xiaoqiang Qiu4Bingqing Qiu5Department of Research, Guangxi Medical University Cancer Hospital, Nanning, ChinaGuangxi Medical University Cancer Hospital, Nanning, ChinaDepartment of Nutrition, School of Public Health, Guangxi Medical University, Nanning, ChinaDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, ChinaDepartment of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, ChinaDepartment of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, ChinaBackgroundThis study searched for immune-related long noncoding RNAs (lncRNAs) to predict the prognosis of patients with cervical cancer.MethodWe obtained immunologically relevant lncRNA expression profiles and clinical follow-up data from cervical cancer patients from The Cancer Genome Atlas database and the Molecular Signatures Database. Cervical cancer patients were randomly divided into a training group, testing group and combined group. The immune prognostic signature was constructed by Least Absolute Shrinkage and Selection Operator Cox regression, prognosis was analyzed by Kaplan–Meier curves between different groups, and the accuracy of the prognostic model was assessed by receiver operating characteristic-area under the curve (ROC-AUC) analysis.ResultsA six-lncRNA immune prognostic signature (LIPS) was constructed to predict the prognosis of cervical cancer. The six lncRNAs are as follows: AC009065.8, LINC01871, MIR210HG, GEMIN7-AS1, GAS5-AS1, and DLEU1. A ROC-AUC analysis indicated that the model could predict the prognosis of cervical cancer patients in different subgroups. A Kaplan–Meier analysis showed that patients with high risk scores had a poor prognosis; these results were equally meaningful in the subgroup analyses. Risk scores differed depending on the clinical pathology and tumor grade and were independent risk factors for cervical cancer prognosis. Gene set enrichment analysis revealed an association between the LIPS and the immune response, Wnt signaling pathway, and TGF beta signaling pathway.ConclusionOur study shows that the six-LIPS can predict the prognosis of cervical cancer and contribute to decisions regarding the immunotherapeutic strategy.https://www.frontiersin.org/article/10.3389/fgene.2020.533628/fullTCGAimmune prognostic signaturelncRNAcervical cancerGSEA
spellingShingle Qian Chen
Lang Hu
Dongping Huang
Kaihua Chen
Xiaoqiang Qiu
Bingqing Qiu
Six-lncRNA Immune Prognostic Signature for Cervical Cancer
Frontiers in Genetics
TCGA
immune prognostic signature
lncRNA
cervical cancer
GSEA
title Six-lncRNA Immune Prognostic Signature for Cervical Cancer
title_full Six-lncRNA Immune Prognostic Signature for Cervical Cancer
title_fullStr Six-lncRNA Immune Prognostic Signature for Cervical Cancer
title_full_unstemmed Six-lncRNA Immune Prognostic Signature for Cervical Cancer
title_short Six-lncRNA Immune Prognostic Signature for Cervical Cancer
title_sort six lncrna immune prognostic signature for cervical cancer
topic TCGA
immune prognostic signature
lncRNA
cervical cancer
GSEA
url https://www.frontiersin.org/article/10.3389/fgene.2020.533628/full
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AT kaihuachen sixlncrnaimmuneprognosticsignatureforcervicalcancer
AT xiaoqiangqiu sixlncrnaimmuneprognosticsignatureforcervicalcancer
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