A Novel Pyroptosis-Associated Long Noncoding RNA Signature to Predict the Prognosis of Patients with Colorectal Cancer

Sijun Chen, Jianwei Zhu, Xiaofei Zhi Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, People’s Republic of ChinaCorrespondence: Xiaofei ZhiDepartment of General Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, People’s R...

Full description

Bibliographic Details
Main Authors: Chen S, Zhu J, Zhi X
Format: Article
Language:English
Published: Dove Medical Press 2021-09-01
Series:International Journal of General Medicine
Subjects:
Online Access:https://www.dovepress.com/a-novel-pyroptosis-associated-long-noncoding-rna-signature-to-predict--peer-reviewed-fulltext-article-IJGM
id doaj-1832e556b68549e18c3c888797effd84
record_format Article
spelling doaj-1832e556b68549e18c3c888797effd842021-09-28T18:54:47ZengDove Medical PressInternational Journal of General Medicine1178-70742021-09-01Volume 146111612369221A Novel Pyroptosis-Associated Long Noncoding RNA Signature to Predict the Prognosis of Patients with Colorectal CancerChen SZhu JZhi XSijun Chen, Jianwei Zhu, Xiaofei Zhi Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, People’s Republic of ChinaCorrespondence: Xiaofei ZhiDepartment of General Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, People’s Republic of ChinaTel +86 18851323088Email zhi.xiaofei@ntu.edu.cnPurpose: Pyroptosis plays an important role in tumor progression. However, there is no pyroptosis-associated long noncoding RNA (lncRNA) signature to predict the prognosis of patients with colorectal cancer (CRC).Materials and Methods: The RNA sequencing data (RNA-seq) and corresponding clinical information relating to CRC patients were obtained from the Cancer Genome Atlas (TCGA) database and the GSE39582 dataset. Univariate Cox regression analysis was used to identify pyroptosis-associated lncRNAs linked to CRC prognosis. Subsequently, multivariate Cox regression analysis was performed to construct a pyroptosis-associated lncRNAs signature within the TCGA cohort, which was then validated using the GSE39582 dataset. We used Kaplan–Meier (K-M) analysis, principal component analysis (PCA), and receiver operating characteristic curve (ROC) analysis to evaluate our novel lncRNA signature. Finally, gene set enrichment analysis (GSEA) was performed to explore the potential function of the lncRNA signature.Results: We constructed a pyroptosis-associated lncRNA signature comprising four lncRNAs (ELFN1-AS1, PCAT6, TNRC6C-AS1, and ZEB1-AS1). CRC patients were subdivided into high- and low-risk groups based on median risk scores. The results of the K-M, PCA, and ROC analyses showed that this signature could accurately predict the prognosis of CRC patients. Univariate and multivariate Cox regression analyses showed that the pyroptosis-associated signature was an independent prognostic factor. Functional analysis suggested that tumor-associated pathways were enriched for in the high-risk CRC patient group.Conclusion: Our study established an effective prognostic signature for CRC patients that may represent a potential therapeutic target.Keywords: colorectal cancer, gene signature, overall survival, pyroptosis, lncRNAhttps://www.dovepress.com/a-novel-pyroptosis-associated-long-noncoding-rna-signature-to-predict--peer-reviewed-fulltext-article-IJGMcolorectal cancergene signatureoverall survivalpyroptosislncrna
collection DOAJ
language English
format Article
sources DOAJ
author Chen S
Zhu J
Zhi X
spellingShingle Chen S
Zhu J
Zhi X
A Novel Pyroptosis-Associated Long Noncoding RNA Signature to Predict the Prognosis of Patients with Colorectal Cancer
International Journal of General Medicine
colorectal cancer
gene signature
overall survival
pyroptosis
lncrna
author_facet Chen S
Zhu J
Zhi X
author_sort Chen S
title A Novel Pyroptosis-Associated Long Noncoding RNA Signature to Predict the Prognosis of Patients with Colorectal Cancer
title_short A Novel Pyroptosis-Associated Long Noncoding RNA Signature to Predict the Prognosis of Patients with Colorectal Cancer
title_full A Novel Pyroptosis-Associated Long Noncoding RNA Signature to Predict the Prognosis of Patients with Colorectal Cancer
title_fullStr A Novel Pyroptosis-Associated Long Noncoding RNA Signature to Predict the Prognosis of Patients with Colorectal Cancer
title_full_unstemmed A Novel Pyroptosis-Associated Long Noncoding RNA Signature to Predict the Prognosis of Patients with Colorectal Cancer
title_sort novel pyroptosis-associated long noncoding rna signature to predict the prognosis of patients with colorectal cancer
publisher Dove Medical Press
series International Journal of General Medicine
issn 1178-7074
publishDate 2021-09-01
description Sijun Chen, Jianwei Zhu, Xiaofei Zhi Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, People’s Republic of ChinaCorrespondence: Xiaofei ZhiDepartment of General Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, People’s Republic of ChinaTel +86 18851323088Email zhi.xiaofei@ntu.edu.cnPurpose: Pyroptosis plays an important role in tumor progression. However, there is no pyroptosis-associated long noncoding RNA (lncRNA) signature to predict the prognosis of patients with colorectal cancer (CRC).Materials and Methods: The RNA sequencing data (RNA-seq) and corresponding clinical information relating to CRC patients were obtained from the Cancer Genome Atlas (TCGA) database and the GSE39582 dataset. Univariate Cox regression analysis was used to identify pyroptosis-associated lncRNAs linked to CRC prognosis. Subsequently, multivariate Cox regression analysis was performed to construct a pyroptosis-associated lncRNAs signature within the TCGA cohort, which was then validated using the GSE39582 dataset. We used Kaplan–Meier (K-M) analysis, principal component analysis (PCA), and receiver operating characteristic curve (ROC) analysis to evaluate our novel lncRNA signature. Finally, gene set enrichment analysis (GSEA) was performed to explore the potential function of the lncRNA signature.Results: We constructed a pyroptosis-associated lncRNA signature comprising four lncRNAs (ELFN1-AS1, PCAT6, TNRC6C-AS1, and ZEB1-AS1). CRC patients were subdivided into high- and low-risk groups based on median risk scores. The results of the K-M, PCA, and ROC analyses showed that this signature could accurately predict the prognosis of CRC patients. Univariate and multivariate Cox regression analyses showed that the pyroptosis-associated signature was an independent prognostic factor. Functional analysis suggested that tumor-associated pathways were enriched for in the high-risk CRC patient group.Conclusion: Our study established an effective prognostic signature for CRC patients that may represent a potential therapeutic target.Keywords: colorectal cancer, gene signature, overall survival, pyroptosis, lncRNA
topic colorectal cancer
gene signature
overall survival
pyroptosis
lncrna
url https://www.dovepress.com/a-novel-pyroptosis-associated-long-noncoding-rna-signature-to-predict--peer-reviewed-fulltext-article-IJGM
work_keys_str_mv AT chens anovelpyroptosisassociatedlongnoncodingrnasignaturetopredicttheprognosisofpatientswithcolorectalcancer
AT zhuj anovelpyroptosisassociatedlongnoncodingrnasignaturetopredicttheprognosisofpatientswithcolorectalcancer
AT zhix anovelpyroptosisassociatedlongnoncodingrnasignaturetopredicttheprognosisofpatientswithcolorectalcancer
AT chens novelpyroptosisassociatedlongnoncodingrnasignaturetopredicttheprognosisofpatientswithcolorectalcancer
AT zhuj novelpyroptosisassociatedlongnoncodingrnasignaturetopredicttheprognosisofpatientswithcolorectalcancer
AT zhix novelpyroptosisassociatedlongnoncodingrnasignaturetopredicttheprognosisofpatientswithcolorectalcancer
_version_ 1716865167135866880