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A Prognostic Nomogram for Predicting Overall Survival in Pediatric Wilms Tumor Based on an Autophagy-related Gene Signature.
He, Longkai; Wang, Xiaotong; Jin, Ya; Xu, Weipeng; Lyu, Jun; Guan, Yi; Wu, Jingchao; Han, Shasha; Liu, Guosheng.
Afiliação
  • He L; Department of Pediatrics, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
  • Wang X; Department of Pediatrics, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
  • Jin Y; Department of Pediatrics, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
  • Xu W; Department of Pediatrics, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
  • Lyu J; Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
  • Guan Y; Department of Pediatrics, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
  • Wu J; Department of Pediatrics, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
  • Han S; Department of Pediatrics, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
  • Liu G; Department of Pediatrics, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Comb Chem High Throughput Screen ; 25(8): 1385-1397, 2022.
Article em En | MEDLINE | ID: mdl-34525929
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tumor de Wilms / Nomogramas Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Revista: Comb Chem High Throughput Screen Assunto da revista: BIOLOGIA MOLECULAR / QUIMICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tumor de Wilms / Nomogramas Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Revista: Comb Chem High Throughput Screen Assunto da revista: BIOLOGIA MOLECULAR / QUIMICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China