ORIGINAL RESEARCH article
Front. Cell Dev. Biol.
Sec. Signaling
Volume 13 - 2025 | doi: 10.3389/fcell.2025.1620648
Multi-transcriptomics analysis of ferroptosis related genes reveals CAFs exosomal COX4I2 as a novel therapeutic target in osteosarcoma
Provisionally accepted- 1Henan Provincial Cancer Hospital, Zhengzhou, China
- 2nanjing medical university, nanjing, China
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Osteosarcoma is a primary malignant tumor, characterized by its high incidence and recurrence rate in children and adolescents. Ferroptosis, an iron-dependent form of regulated cell death, has recently been recognized as a potential therapeutic vulnerability in cancer treatment. However, its prognostic significance and underlying regulatory mechanisms in osteosarcoma remain largely unexplored.We constructed a prognostic model based on 12 ferroptosis-related genes using LASSO regression and validated across independent GEO cohorts (GSE21257 and GSE39055).We identified hub genes via machine learning algorithms (SVM, RF, XGBoost, BORUTA) and single-cell RNA sequencing. The exosomal transfer of COX4I2 protein from CAFs to 143B osteosarcoma cells was evaluated by Western blot, confocal microscopy, and transmission electron microscopy. Ferroptosis indicators, including Fe²⁺, MDA, ACSL4, and ROS levels, were assessed in vitro. We performed tumorigenicity assays in vivo in nude mice to validate biological function.The ferroptosis-based risk model exhibited robust prognostic performance. We identified COX4I2 as a stromal hub gene, highly enriched in cancer-associated fibroblasts (CAFs). Functional experiments demonstrated that exosome-mediated delivery of COX4I2 suppressed ferroptosis in osteosarcoma cells and enhancd cell proliferation and mitochondrial integrity. Studies in vivo further revealed that overexpression of exosomal COX4I2 markedly promoted tumor growth while inhibiting ferroptosis.These findings underscore the potential of exosomal COX4I2 as a biomarker and therapeutic target for ferroptosis-based interventions in osteosarcoma.
Keywords: Osteosarcoma, Prognostic signature, machine learning, ferroptosis, CAFs exosomal COX4I2
Received: 30 Apr 2025; Accepted: 25 Aug 2025.
Copyright: © 2025 Tian, Niu, Zhang and Li. 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: Wen Tian, Henan Provincial Cancer Hospital, Zhengzhou, China
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