Construction of a Five-Super-Enhancer-Associated-Genes Prognostic Model for Osteosarcoma Patients.

Frontiers in Cell and Developmental Biology
Zhanbo OuyangQiong Lu

Abstract

Osteosarcoma is a malignant tumor most commonly arising in children and adolescents and associated with poor prognosis. In recent years, some prognostic models have been constructed to assist clinicians in the treatment of osteosarcoma. However, the prognosis and treatment of patients with osteosarcoma remain unsatisfactory. Notably, super-enhancer (SE)-associated genes strongly promote the progression of osteosarcoma. In the present study, we constructed a novel effective prognostic model using SE-associated genes from osteosarcoma. Five SE-associated genes were initially screened through the least absolute shrinkage and selection operator (Lasso) penalized Cox regression, as well as univariate and multivariate Cox regression analyses. Meanwhile, a risk score model was constructed using the expression of these five genes. The excellent performance of the five-SE-associated-gene-based prognostic model was determined via time-dependent receiver operating characteristic (ROC) curves and Kaplan-Meier curves. Inferior outcome of overall survival (OS) was predicted in the high-risk group. A nomogram based on the polygenic risk score model was further established to validate the performance of the prognostic model. It showed that our...Continue Reading

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Citations

May 21, 2021·Journal of Experimental & Clinical Cancer Research : CR·Guo-Hua LiJian Qu
Aug 3, 2021·Pathology Oncology Research : POR·Wei QiKangsong Tian

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Datasets Mentioned

BETA
GSE39058
1
GSM954850

Methods Mentioned

BETA
immunoprecipitation
surgical resection

Software Mentioned

IGV
Integrative Genomics Viewer
NetworkAnalyst
R package “ nomogramEx
R package “ limma ”
WGCNA
survminer
R package “ glmnet ”
R package “ timeROC
R package “ survival ” “

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