Extracellular Vesicles and Their Roles in Cancer Progression

A special issue of Biomolecules (ISSN 2218-273X). This special issue belongs to the section "Molecular Biology".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 116

Special Issue Editors


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Guest Editor
Department of Cancer Biology and Genetics, The Ohio State University, 460 W 12th Ave., Columbus, OH 43210, USA
Interests: extracellular vesicles; tumor microenvironment; microRNAs; cancer genetics; cancer-associated cachexia
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
Interests: computational biology; ncRNAs; epitranscriptomics; noncoding RNA editing; cancer informatics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Extracellular vesicles (EVs) have emerged as key mediators of intercellular communication in cancer, playing crucial roles in tumor progression, metastasis, and response to therapy. EVs carry a diverse cargo of bioactive molecules, including proteins, lipids, and nucleic acids, which can influence the tumor microenvironment and serve as potential biomarkers for early detection and disease monitoring.

This Research Topic aims to explore the multifaceted roles of EVs in cancer biology, integrating molecular and computational approaches to deepen our understanding of their function and translational potential. We welcome original research, reviews, and methodological studies on, but not limited to, the following topics:

  • EV cargo profiling: The characterization of coding and non-coding RNAs, proteins, and other biomolecules within EVs.
  • Multi-omics approaches: The integration of transcriptomics, proteomics, metabolomics, and epigenomics to dissect EV-mediated regulatory mechanisms in cancer.
  • EVs in tumor microenvironment interactions: Functional studies on how EVs modulate immune responses, stromal remodeling, and metastasis.
  • EV-based biomarkers: The development and validation of EV-derived molecular signatures for cancer diagnosis, prognosis, and therapeutic response prediction.
  • Bioinformatics and statistical modeling: Computational strategies for EV data analysis, biomarker discovery, and functional annotation.

With expertise in molecular oncology, RNA biology, and bioinformatics, we aim to curate a collection of high-quality contributions that advance the field of EV research and foster innovative perspectives on their role in cancer progression and clinical applications.

Dr. Federica Calore
Dr. Giovanni Nigita
Guest Editors

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Keywords

  • extracellular vesicles
  • tumor microenvironment
  • biomolecule profiling
  • multi-omics
  • cancer biomarkers

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