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ORIGINAL RESEARCH article

Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1517971
This article is part of the Research Topic Community Series in Novel Biomarkers for Predicting Response to Cancer Immunotherapy: Volume III View all 7 articles

Identification and Functional Characterization of T-Cell Exhaustion-Associated lncRNA AL031775.1 in Osteosarcoma: A Novel Therapeutic Target

Provisionally accepted
Yameng Wang Yameng Wang 1Jinghong Yuan Jinghong Yuan 1,2Keying Guo Keying Guo 1,2Junchao Zhu Junchao Zhu 1Shahrzad Arya Shahrzad Arya 3Guowen Huang Guowen Huang 1Shengqin Li Shengqin Li 1Qi Chen Qi Chen 2,4Xijuan Liu Xijuan Liu 2,5Jingyu Jia Jingyu Jia 1,2*
  • 1 Department of Orthopaedics, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
  • 2 Nanchang University, Nanchang, Jiangxi Province, China
  • 3 Cedars Sinai Medical Center, Los Angeles, California, United States
  • 4 The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
  • 5 Department of Pediatrics, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China

The final, formatted version of the article will be published soon.

    Background: Osteosarcoma, an aggressive bone malignancy predominantly affecting children and adolescents, presents significant therapeutic challenges with a 5-year survival rate below 30% in metastatic cases. T-cell exhaustion, characterized by the overexpression of immune checkpoint molecules, contributes to osteosarcoma progression and immune evasion. Although targeting these inhibitory pathways has shown potential in restoring T-cell activity, the molecular regulators of T-cell depletion in osteosarcoma are poorly understood.Methods: This study employed comprehensive bioinformatics analyses on osteosarcoma samples from the TARGET database, combined with normal tissue data from the GTEx database, to identify T-cell exhaustion-associated genes and their co-expressed long non-coding RNAs (lncRNAs). Gene ontology and KEGG pathway analyses were used to elucidate immune-related pathway enrichments. A six-lncRNA prognostic model was established using LASSO regression and validated in separate cohorts. Functional assays evaluated the impact of the lncRNA AL031775.1 on osteosarcoma cell behavior and T-cell function.Results: Twenty-four key T-cell exhaustion-related genes were identified and significantly enriched in immune-related pathways, indicating their importance in the osteosarcoma immune microenvironment. The constructed six-lncRNA model stratified patients by survival prognosis, showing robust predictive performance across cohorts. Among the six identified lncRNAs, AL031775.1 is notably downregulated in osteosarcoma patients and significantly promotes osteosarcoma cell proliferation, migration, and invasion while contributing to T-cell exhaustion. In T cells, downregulation of AL031775.1 impairs antitumor immunity, upregulates immune checkpoint molecules LAG3, PD1, and CTLA4, and diminishes T-cell cytotoxic activity against tumor cells.Conclusion: This study identifies a novel six-lncRNA prognostic model and highlights the therapeutic potential of AL031775.1 in managing osteosarcoma by enhancing T-cell immunity and counteracting tumor progression. Targeting AL031775.1 represents a promising approach to improve immunotherapy efficacy in osteosarcoma. These findings provide critical insights into the molecular regulation of T-cell exhaustion and suggest a new avenue for therapeutic intervention.

    Keywords: :osteosarcoma, T-cell exhaustion, lncRNA, tumor, Immune Osteosarcoma, immune

    Received: 27 Oct 2024; Accepted: 04 Feb 2025.

    Copyright: © 2025 Wang, Yuan, Guo, Zhu, Arya, Huang, Li, Chen, Liu and Jia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jingyu Jia, Nanchang University, Nanchang, 330031, Jiangxi Province, China

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