A NOD-Like Receptor Signaling-Based Gene Signature Identified as a
Novel Prognostic Biomarker for Predicting Overall Survival of Colorectal
Cancer Patients
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Published:2022-01
Issue:1
Volume:17
Page:77-88
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ISSN:1574-8936
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Container-title:Current Bioinformatics
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language:en
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Short-container-title:CBIO
Author:
Qi Xin1ORCID,
Zuo Jiachen1,
Yan Donghui1,
Hu Guang2,
Wang Rui1,
Chen Jiajia1,
Fu Jiaolong1
Affiliation:
1. School of Chemistry and Life Sciences, Suzhou University of Science and Technology, 215011 Suzhou, China
2. Center for Systems Biology, Department of Bioinformatics, School of Biology and Basic Medical Sciences, Soochow University, 215123 Suzhou, China
Abstract
Background:
Colorectal Cancer (CRC) is the most frequently diagnosed gastrointestinal
tract malignant tumor worldwide, which is closely associated with distant metastasis and poor prognosis.
Due to high degree of heterogeneity, reliable prognostic biomarkers are urgently needed to guide the
therapeutic intervention of CRC patients.
Objective:
The present study aimed to develop a NOD-Like Receptors (NLRs) signaling-based gene
signature that can successfully predict the overall survival of CRC patients.
Methods:
Firstly, differentially expressed NLR signaling-related genes were identified between primary
and metastatic human CRC samples. Genes with prognostic value were then screened through univariate
Cox regression analysis. Next, the NLR signaling-based prognostic signature was constructed by
LASSO-penalized Cox regression analysis, and its predictive ability was further confirmed in an independent
cohort. Furthermore, functional studies including GO, GSEA, ssGSEA and chemotherapeutic
response analyses were performed to explore the role of the NLR signaling-based signature in CRC
pathogenesis and therapy.
Results:
The established prognostic signature that consisted of 7 NLR signaling-related genes can effectively
stratify the high-risk and low-risk CRC patients in both training and validation cohorts. Moreover,
the signature proved to be an independent indicator of overall survival in CRC patients. Functional annotation
and chemotherapeutic response analyses showed that the signature was closely associated with
immune status and chemotherapeutic sensitivity of CRC patients.
Conclusion:
The novel NLR signaling-based gene signature could serve as a potential tool for survival
prediction and therapeutic evaluation, thereby contributing to the personalized prognostic management
of CRC patients.
Funder
National Natural Science Foundation of China
Natural Science Foundation of the Jiangsu Higher Education Institutions of China
Publisher
Bentham Science Publishers Ltd.
Subject
Computational Mathematics,Genetics,Molecular Biology,Biochemistry
Cited by
2 articles.
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