Immune-Related Four-lncRNA Signature for Patients with Cervical Cancer
Cervical cancer (CC) is a common gynecological malignancy for which prognostic and therapeutic biomarkers are urgently needed. The signature based on immune-related lncRNAs (IRLs) of CC has never been reported. This study is aimed at establishing an IRL signature for patients with CC. A cohort of 32...
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2020-01-01
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Online Access: | http://dx.doi.org/10.1155/2020/3641231 |
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doaj-d850841b5e05403eb7626c3b1865a1c42020-11-30T09:11:21ZengHindawi LimitedBioMed Research International2314-61332314-61412020-01-01202010.1155/2020/36412313641231Immune-Related Four-lncRNA Signature for Patients with Cervical CancerJianfeng Zheng0Benben Cao1Xia Zhang2Zheng Niu3Jinyi Tong4Department of Obstetrics and Gynecology, Affiliated Hangzhou Hospital, Nanjing Medical University, Hangzhou, Zhejiang Province 310008, ChinaDepartment of fourth Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province 310006, ChinaDepartment of Obstetrics and Gynecology, Hangzhou Women’s Hospital, Hangzhou, Zhejiang Province 310008, ChinaDepartment of Obstetrics and Gynecology, Affiliated Hangzhou First People’s Hospital, Zhejiang University of Medicine, Hangzhou, Zhejiang Province 310006, ChinaDepartment of Obstetrics and Gynecology, Affiliated Hangzhou Hospital, Nanjing Medical University, Hangzhou, Zhejiang Province 310008, ChinaCervical cancer (CC) is a common gynecological malignancy for which prognostic and therapeutic biomarkers are urgently needed. The signature based on immune-related lncRNAs (IRLs) of CC has never been reported. This study is aimed at establishing an IRL signature for patients with CC. A cohort of 326 CC and 21 normal tissue samples with corresponding clinical information was included in this study. Twenty-eight IRLs were collected according to the Pearson correlation analysis between the immune score and lncRNA expression (p<0.01). Four IRLs (BZRAP1-AS1, EMX2OS, ZNF667-AS1, and CTC-429P9.1) with the most significant prognostic values (p<0.05) were identified which demonstrated an ability to stratify patients into the low-risk and high-risk groups by developing a risk score model. It was observed that patients in the low-risk group showed longer overall survival (OS) than those in the high-risk group in the training set, valid set, and total set. The area under the curve (AUC) of the receiver operating characteristic curve (ROC curve) for the four-IRL signature in predicting the one-, two-, and three-year survival rates was larger than 0.65. In addition, the low-risk and high-risk groups displayed different immune statuses in GSEA. These IRLs were also significantly correlated with immune cell infiltration. Our results showed that the IRL signature had a prognostic value for CC. Meanwhile, the specific mechanisms of the four IRLs in the development of CC were ascertained preliminarily.http://dx.doi.org/10.1155/2020/3641231 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jianfeng Zheng Benben Cao Xia Zhang Zheng Niu Jinyi Tong |
spellingShingle |
Jianfeng Zheng Benben Cao Xia Zhang Zheng Niu Jinyi Tong Immune-Related Four-lncRNA Signature for Patients with Cervical Cancer BioMed Research International |
author_facet |
Jianfeng Zheng Benben Cao Xia Zhang Zheng Niu Jinyi Tong |
author_sort |
Jianfeng Zheng |
title |
Immune-Related Four-lncRNA Signature for Patients with Cervical Cancer |
title_short |
Immune-Related Four-lncRNA Signature for Patients with Cervical Cancer |
title_full |
Immune-Related Four-lncRNA Signature for Patients with Cervical Cancer |
title_fullStr |
Immune-Related Four-lncRNA Signature for Patients with Cervical Cancer |
title_full_unstemmed |
Immune-Related Four-lncRNA Signature for Patients with Cervical Cancer |
title_sort |
immune-related four-lncrna signature for patients with cervical cancer |
publisher |
Hindawi Limited |
series |
BioMed Research International |
issn |
2314-6133 2314-6141 |
publishDate |
2020-01-01 |
description |
Cervical cancer (CC) is a common gynecological malignancy for which prognostic and therapeutic biomarkers are urgently needed. The signature based on immune-related lncRNAs (IRLs) of CC has never been reported. This study is aimed at establishing an IRL signature for patients with CC. A cohort of 326 CC and 21 normal tissue samples with corresponding clinical information was included in this study. Twenty-eight IRLs were collected according to the Pearson correlation analysis between the immune score and lncRNA expression (p<0.01). Four IRLs (BZRAP1-AS1, EMX2OS, ZNF667-AS1, and CTC-429P9.1) with the most significant prognostic values (p<0.05) were identified which demonstrated an ability to stratify patients into the low-risk and high-risk groups by developing a risk score model. It was observed that patients in the low-risk group showed longer overall survival (OS) than those in the high-risk group in the training set, valid set, and total set. The area under the curve (AUC) of the receiver operating characteristic curve (ROC curve) for the four-IRL signature in predicting the one-, two-, and three-year survival rates was larger than 0.65. In addition, the low-risk and high-risk groups displayed different immune statuses in GSEA. These IRLs were also significantly correlated with immune cell infiltration. Our results showed that the IRL signature had a prognostic value for CC. Meanwhile, the specific mechanisms of the four IRLs in the development of CC were ascertained preliminarily. |
url |
http://dx.doi.org/10.1155/2020/3641231 |
work_keys_str_mv |
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1715028101040177152 |