Extracellular Vesicle RNA Sequencing Reveals Dramatic Transcriptomic Alterations Between Metastatic and Primary

Qiyuan Bao1, Liangzhi Gong1, Jizhuang Wang1

  • 1Department of Orthopaedics, Shanghai Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Abstract

Insights

Extracellular vesicle RNA profiling offers a non-invasive liquid biopsy for tracking osteosarcoma metastasis. This approach identifies prognostic and therapeutic biomarkers for metastatic bone cancer.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Osteosarcoma (OS) is a bone cancer known for frequent metastasis, even after surgery.
  • Current methods lack effective non-invasive tools for detecting residual disease or guiding therapy in metastatic OS.
  • Extracellular vesicles (EVs) present a potential avenue for liquid biopsy in OS.

Purpose of the Study:

  • To investigate extracellular vesicle (EV) RNA profiling for tracking osteosarcoma (OS) metastasis non-invasively.
  • To compare transcriptome-wide RNA profiles of EVs from primary and metastatic OS.
  • To identify potential prognostic and therapeutic biomarkers for metastatic OS.

Main Methods:

  • RNA sequencing of 10 matched primary and metastatic OS EV samples (cell lines and plasma).
  • Comparative analysis of mutations, gene expression, fusion transcripts, and alternative splicing (AS) in EVs.
  • Validation using paired tissue/EVs and public datasets.

Main Results:

  • Metastatic OS EVs showed a significantly increased mutation burden compared to non-metastatic.
  • EV expression profiles differentiated metastatic from non-metastatic OS, highlighting cell-adhesion and tyrosine kinase pathways.
  • 30 cancer-related gene fusions and increased AS events were identified in metastatic OS EVs.
  • EV-based mutations were highly validated, and the expression signature predicted patient survivorship.

Conclusions:

  • A liquid biopsy approach using EV RNA profiling can track transcriptomic changes in metastatic osteosarcoma.
  • This non-invasive method provides a promising source for prognostic and therapeutic biomarkers in metastatic OS.

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