Advances in prognostic models for osteosarcoma risk

Yi Yao; Dapeng Wang; Li Zheng; Jinmin Zhao; Manli Tan

doi:10.1016/j.heliyon.2024.e28493

Advances in prognostic models for osteosarcoma risk

Heliyon. 2024 Mar 26;10(7):e28493. doi: 10.1016/j.heliyon.2024.e28493. eCollection 2024 Apr 15.

Authors

Yi Yao^{1

2

3}, Dapeng Wang¹, Li Zheng^{1

2

3}, Jinmin Zhao^{1

2

4}, Manli Tan^{1

2

3}

Affiliations

¹ Guangxi Engineering Center in Biomedical Materials for Tissue and Organ Regeneration, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, China.
² Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, China.
³ Life Sciences Institute, Guangxi Medical University, Nanning, 530021, China.
⁴ Department of Orthopedics, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.

Abstract

The risk prognosis model is a statistical model that uses a set of features to predict whether an individual will develop a specific disease or clinical outcome. It can be used in clinical practice to stratify disease severity and assess risk or prognosis. With the advancement of large-scale second-generation sequencing technology, along Prognosis models for osteosarcoma are increasingly being developed as large-scale second-generation sequencing technology advances and clinical and biological data becomes more abundant. This expansion greatly increases the number of prognostic models and candidate genes suitable for clinical use. This article will present the predictive effects and reliability of various prognosis models, serving as a reference for their evaluation and application.

Keywords: Osteosarcoma; Risk-prognosis model.

Publication types

Review