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ORIGINAL RESEARCH article

Front. Mol. Biosci.

Sec. Molecular Diagnostics and Therapeutics

This article is part of the Research TopicExploring the Correlation and Heterogeneity Between Acute and Chronic Diseases: Diagnostic and Therapeutic PerspectivesView all 11 articles

Single-Cell Dissection of PTM-Related Networks Reveals an Immunosuppressed Osteosarcoma Ecosystem

Provisionally accepted
Jingyu  ChenJingyu ChenWei  ZhangWei ZhangHai  YanHai YanJinyu  ChenJinyu ChenHanrui  LiuHanrui LiuXingyu  ZhouXingyu ZhouHaiping  ZhangHaiping ZhangDongdong  ChengDongdong Cheng*
  • The Second Affiliated Hospital of Nantong University, Nantong, China

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

Background: Osteosarcoma remains lethal for many patients with metastatic or relapsed disease. Post-translational modifications regulate protein signaling and may shape the tumor microenvironment and clinical behavior in osteosarcoma, yet PTM-anchored transcriptomic programs are not well defined. Methods: We integrated single-cell RNA sequencing from GSE162454 with curated PTM and immune gene sets to build a PTM-related framework for osteosarcoma. Tumor-cell differentially expressed genes were intersected with PTM and immune repertoires to derive candidates. A PTM-related prognostic score was trained in TARGET-OS and validated in GSE21257 and GSE16091. Immune infiltration and microenvironment features were profiled using ssGSEA, ESTIMATE, and TIDE. Model interpretation used SHAP and single-cell localization. GRN was prioritized for exploration of immune correlations and in vitro loss-of-function assays in U2OS and HOS cells. Results: The three-way intersection yielded 298 genes. The PTM-related score stratified overall survival in training and validation cohorts and remained independent of clinical covariates. High scores aligned with an immunosuppressed, stroma-rich microenvironment, with lower Immune and ESTIMATE scores, enrichment of myeloid and regulatory lineages, higher dysfunction and exclusion by TIDE, and reduced cytolytic, interferon, and antigen-presentation programs. SHAP highlighted a compact driver set enriched in malignant and stromal compartments. GRN showed strong contribution and consistent single-cell localization. Elevated GRN correlated with plasmacytoid dendritic cells, MDSCs, macrophages, Tregs, and multiple inhibitory checkpoints, and with diminished immune-effector functions. GRN silencing reduced proliferation, clonogenicity, migration, and invasion in osteosarcoma cells. Conclusion: A PTM-anchored transcriptomic signature captures prognostic heterogeneity in osteosarcoma and links adverse outcome to an immunosuppressed microenvironment. GRN emerges as a tumor-and stroma-intrinsic mediator of immune suppression and malignant traits, and represents a biologically grounded target for future mechanistic and therapeutic studies.

Keywords: Osteosarcoma, post-translational modification, single-cell RNA-seq, Tumor Microenvironment, Prognostic signature, GRN

Received: 05 Oct 2025; Accepted: 17 Nov 2025.

Copyright: © 2025 Chen, Zhang, Yan, Chen, Liu, Zhou, Zhang and Cheng. 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: Dongdong Cheng, chengdd1122@gmail.com

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