Journal of Inflammation Research (Jul 2024)

Molecular Landscape and Prognostic Value in the Post-Translational Ubiquitination, SUMOylation and Neddylation in Osteosarcoma: A Transcriptome Study

  • Jia C,
  • Yao X,
  • Dong Z,
  • Wang L,
  • Zhao F,
  • Gao J,
  • Cai T

Journal volume & issue
Vol. Volume 17
pp. 4315 – 4330

Abstract

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Chenguang Jia,1,* Xiaowei Yao,1,* Zhaoliang Dong,1 Lianbo Wang,1 Fangchao Zhao,2,* Jianguo Gao,1,* Tao Cai3,* 1Department of Orthopedics, Hebei Chest Hospital, Shijiazhuang, Hebei, People’s Republic of China; 2Department of Thoracic Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China; 3Hebei Chest Hospital, Shijiazhuang, Hebei, People’s Republic of China*These authors contributed equally to this workCorrespondence: Tao Cai, Hebei Chest Hospital, No. 372, Shengli North Street, Shijiazhuang, Hebei, People’s Republic of China, Tel/Fax +86-311-86911080, Email [email protected]: Post-translational modifications (PTM) significantly influence the pathogenesis and progression of diverse neoplastic conditions. Nevertheless, there has been limited research focusing on the potential of PTM-related genes (PTMRGs) as tumor biomarkers for predicting the survival of specific patients.Methods: The datasets utilized in this research were obtained from the TARGET and GEO repositories, respectively. The gene signature was constructed through the utilization of LASSO Cox regression method. GSEA and GO was used to identify hub pathways associated with risk genes. The functionality of risk genes in osteosarcoma (OS) cell lines was verified through the implementation of the CCK-8 assay, cell cycle analysis, and immunofluorescence assay.Results: Two distinct PTM patterns and gene clusters were finally determined. Significant differences in the prognosis of patients were found among two different PTM patterns and gene clusters, so were in the function enrichment and the landscape of TME immune cell infiltration. Moreover, we examined two external immunotherapy cohorts and determining that patients in the low-risk group was more likely to profit from immunotherapy. In addition, we mapped the expression of the genes in the signature in distinct cells using single-cell analysis. Finally, CCK-8 assay, cell cycle analysis, and immunofluorescence assay were utilized to confirm that RAD21 was expressed and functioned in OS.Conclusion: In conclusion, this study elucidated the potential link between PTM and immune infiltration landscape of OS for the first time and provided a new assessment protocol for the precise selection of treatment strategies for patients with advanced OS.Keywords: post-translational modifications, osteosarcoma, immune microenvironment, immune therapy, RAD21

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