Identifying biomolecules and constructing a prognostic risk prediction model for recurrence in osteosarcoma.

ABSTRACT:

Introduction

Osteosarcoma is a high-morbidity bone cancer with an unsatisfactory prognosis. The aim of this study is to develop novel potential prognostic biomarkers and construct a prognostic risk prediction model for recurrence in osteosarcoma.

Methods

By analyzing microarray data, univariate and multivariate Cox regression analyses were performed to screen prognostic RNA signatures and to build a prognostic model. The RNA signatures were validated using Kaplan-Meier curves. Then, we developed and validated a nomogram combining age, recurrence, metastatic, and Prognostic score (PS) models to predict the individual's overall survival at the 3- and 5-year points. Pathway enrichment of RNA was conducted based on the significant co-expressed RNAs.

Results

A total of 319

SUBMITTER: Zhang M 

PROVIDER: S-EPMC7758551 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature