Developing a 5-Gene Signature Related to Pyroptosis for Osteosarcoma Patients

Zhe Li; Chi Jin; Xinchang Lu; Yan Zhang; Yi Zhang; Jia Wen; Yongkui Liu; Xiaoting Liu; Jiazhen Li

doi:10.1155/2022/1317990

Developing a 5-Gene Signature Related to Pyroptosis for Osteosarcoma Patients

J Oncol. 2022 Aug 5:2022:1317990. doi: 10.1155/2022/1317990. eCollection 2022.

Authors

Zhe Li¹, Chi Jin¹, Xinchang Lu¹, Yan Zhang¹, Yi Zhang¹, Jia Wen¹, Yongkui Liu¹, Xiaoting Liu², Jiazhen Li¹

Affiliations

¹ Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 410100, China.
² Orthopaedics, The Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, China.

Abstract

Although the incidence of osteosarcoma (OS) is relatively low compared with other cancer types, the overall survival of metastatic OS was less than 30%. This study aimed to reveal the role of pyroptosis in osteosarcoma and develop a prognostic model related to pyroptosis. Weighted correlation network analysis (WGCNA) was applied to identify key gene modules related to pyroptosis. Univariate Cox regression analysis was used to screen prognostic genes related to pyroptosis. The least absolute shrinkage and selection operator (LASSO) and stepwise Akaike information criterion (stepAIC) were employed to optimize and construct a prognostic model. Five prognostic genes (COL13A1, TNFRSF1A, LILRA6, CTNNBIP1, and CD180) related to pyroptosis were identified. According to the 5-gene signature, OS samples were divided into high- and low-PPRS groups with differential prognosis. Immune-related pathways were more activated in the low-PPRS group. The 5-gene signature was effective and robust to predict OS prognosis. These five prognostic genes were involved in OS development and may serve as new targets for developing therapeutic drugs.