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Research Paper|Volume 15, Issue 19|pp 10272—10290

Molecular characterization of cancer-intrinsic immune evasion genes indicates prognosis and tumour microenvironment infiltration in osteosarcoma

Xiaokun Zhao1, Jian Zhang1,2, Jiahao Liu1, Shengzhong Luo1, Rui Ding1, Xinxin Miao1,3, Tianlong Wu1,3, Jingyu Jia1, Xigao Cheng1,2,3
  • 1Department of Orthopedics, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China
  • 2Institute of Orthopedics of Jiangxi, Nanchang, Jiangxi 330006, China
  • 3Institute of Minimally Invasive Orthopedics, Nanchang University, Nanchang, Jiangxi 330006, China
Received: June 6, 2023Accepted: September 8, 2023Published: October 4, 2023
https://doi.org/10.18632/aging.205074

Copyright: © 2023 Zhao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Cancer-intrinsic immune evasion (IE) to cells is a critical factor in tumour growth and progression, yet the molecular characterization of IE genes (IEGs) in osteosarcoma remains underexplored. In this study, 85 osteosarcoma patients were comprehensively analyzed based on 182 IEGs, leading to the identification of two IE clusters linked to distinct biological processes and clinical outcomes. In addition, two IE clusters demonstrated diverse immune cell infiltration patterns, with IEGcluster A displaying increased levels compared to IEGcluster B. Moreover, an IE score was identified as an independent prognostic factor and nomogram may serve as a practical tool for the individual prognostic evaluation of patients with osteosarcoma. Finally, GBP1, a potential biomarker with high expression in osteosarcoma was identified. The findings of this study highlight the presence of two IE clusters, each associated with differing patient outcomes and immune infiltration properties. The IE score may serve to assess individual patient IE characteristics, enhance comprehension of immune features, and guide more efficacious treatment approaches.