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Article: A Prognostic Nomogram for Predicting Overall Survival in Pediatric Wilms Tumor Based on an Autophagy-related Gene Signature

TitleA Prognostic Nomogram for Predicting Overall Survival in Pediatric Wilms Tumor Based on an Autophagy-related Gene Signature
Authors
KeywordsAutophagy
Gene signature
Nomogram
Prognostic model
TCGA
Wilms tumor
Issue Date26-Aug-2021
PublisherBentham Science Publishers
Citation
Combinatorial Chemistry & High Throughput Screening, 2022, v. 25, n. 8, p. 1385-1397 How to Cite?
Abstract

Background: Wilms Tumor (WT) is the most common primary renal malignancy in children. Autophagy plays dual roles in the promotion and suppression of various cancers.

Objective: The goal of our study was to develop a novel autophagy-related gene (ARG) prognostic nomogram for WT.

Methods: The Cancer Genome Atlas (TCGA) database was used. We screened the expression profiles of ARGs in 136 WT patients. The differentially expressed prognostic ARGs were evaluated by multivariate Cox regression analysis and survival analysis. A novel prognostic nomogram based on the ARGs and clinical characteristics was established using multivariate Cox regression analysis.

Results: First, 69 differentially expressed ARGs were identified in WT patients. Then, multivariate Cox regression analysis was used to determine 4 key prognostic ARGs (CC3CL1, ERBB2, HIF-α and CXCR4) in WT. According to their ARG expression levels, the patients were clustered into high- and low-risk groups. Next, survival analysis indicated that high-risk patients had significantly poorer overall survival than low-risk patients. The results of functional enrichment analysis suggested that autophagy may play a tumor-suppressive role in the initiation of WT. Finally, a prognostic nomogram with a Harrell's concordance index (C-index) of 0.841 was used to predict the survival probability of WT patients by integrating clinical characteristics and the 4-ARG signature. The calibration curve indicated its excellent predictive performance.

Conclusion: In summary, the ARG signature could be a promising biomarker for monitoring the outcomes of WT. We established a novel nomogram based on the ARG signature, which accurately predicts the overall survival of WT patients.


Persistent Identifierhttp://hdl.handle.net/10722/337915
ISSN
2023 Impact Factor: 1.6
2023 SCImago Journal Rankings: 0.301
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHe, LK-
dc.contributor.authorWang, XT-
dc.contributor.authorJin, Y-
dc.contributor.authorXu, WP-
dc.contributor.authorLyu, J-
dc.contributor.authorGuan, Y-
dc.contributor.authorWu, JC-
dc.contributor.authorHan, SS-
dc.contributor.authorLiu, GS-
dc.date.accessioned2024-03-11T10:24:53Z-
dc.date.available2024-03-11T10:24:53Z-
dc.date.issued2021-08-26-
dc.identifier.citationCombinatorial Chemistry & High Throughput Screening, 2022, v. 25, n. 8, p. 1385-1397-
dc.identifier.issn1386-2073-
dc.identifier.urihttp://hdl.handle.net/10722/337915-
dc.description.abstract<p><strong>Background: </strong>Wilms Tumor (WT) is the most common primary renal malignancy in children. Autophagy plays dual roles in the promotion and suppression of various cancers.</p><p><strong>Objective: </strong>The goal of our study was to develop a novel autophagy-related gene (ARG) prognostic nomogram for WT.</p><p><strong>Methods: </strong>The Cancer Genome Atlas (TCGA) database was used. We screened the expression profiles of ARGs in 136 WT patients. The differentially expressed prognostic ARGs were evaluated by multivariate Cox regression analysis and survival analysis. A novel prognostic nomogram based on the ARGs and clinical characteristics was established using multivariate Cox regression analysis.</p><p><strong>Results: </strong>First, 69 differentially expressed ARGs were identified in WT patients. Then, multivariate Cox regression analysis was used to determine 4 key prognostic ARGs (CC3CL1, ERBB2, HIF-α and CXCR4) in WT. According to their ARG expression levels, the patients were clustered into high- and low-risk groups. Next, survival analysis indicated that high-risk patients had significantly poorer overall survival than low-risk patients. The results of functional enrichment analysis suggested that autophagy may play a tumor-suppressive role in the initiation of WT. Finally, a prognostic nomogram with a Harrell's concordance index (C-index) of 0.841 was used to predict the survival probability of WT patients by integrating clinical characteristics and the 4-ARG signature. The calibration curve indicated its excellent predictive performance.</p><p><strong>Conclusion: </strong>In summary, the ARG signature could be a promising biomarker for monitoring the outcomes of WT. We established a novel nomogram based on the ARG signature, which accurately predicts the overall survival of WT patients.</p>-
dc.languageeng-
dc.publisherBentham Science Publishers-
dc.relation.ispartofCombinatorial Chemistry & High Throughput Screening-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAutophagy-
dc.subjectGene signature-
dc.subjectNomogram-
dc.subjectPrognostic model-
dc.subjectTCGA-
dc.subjectWilms tumor-
dc.titleA Prognostic Nomogram for Predicting Overall Survival in Pediatric Wilms Tumor Based on an Autophagy-related Gene Signature-
dc.typeArticle-
dc.identifier.doi10.2174/1386207324666210826143727-
dc.identifier.scopuseid_2-s2.0-85130153156-
dc.identifier.volume25-
dc.identifier.issue8-
dc.identifier.spage1385-
dc.identifier.epage1397-
dc.identifier.eissn1875-5402-
dc.identifier.isiWOS:000836803900016-
dc.identifier.issnl1386-2073-

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