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: 31 March 2026 | Viewed by 907

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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Published Papers (1 paper)

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Research

21 pages, 2836 KB  
Article
Single-Vesicle Molecular Profiling by dSTORM Imaging in a Liquid Biopsy Assay Predicts Early Relapse in Colorectal Cancer
by Gabriele Raciti, Giulia Cavallaro, Raffaella Giuffrida, Cristina Grange, Loredana Leggio, Marco Catania, Nunzio Iraci, Elena Bruno, Luca Antonio Giaimi, Sofia Paola Lombardo, Giulia Chisari, Marzia Mare, Enrica Deiana, Lorenzo Memeo, Benedetta Bussolati and Stefano Forte
Biomolecules 2025, 15(9), 1307; https://doi.org/10.3390/biom15091307 - 11 Sep 2025
Viewed by 638
Abstract
Background and Objectives: Colorectal cancer (CRC) is the third most diagnosed tumor type and the second leading cause of cancer-related mortality. Despite recent improvements in the clinical management of CRC patients both before and after surgery, disease recurrence remains common, with an incidence [...] Read more.
Background and Objectives: Colorectal cancer (CRC) is the third most diagnosed tumor type and the second leading cause of cancer-related mortality. Despite recent improvements in the clinical management of CRC patients both before and after surgery, disease recurrence remains common, with an incidence of about 20–30% within 5 years. Current tissue biopsy techniques are invasive and inadequate for assessing tumor heterogeneity or capturing real-time disease dynamics. In contrast, liquid biopsy offers a promising, minimally invasive alternative. This study aimed to evaluate extracellular vesicle (EV)-associated protein markers, detected through super-resolution microscopy, as potential indicators of recurrence in CRC patients. Methods: We employed a novel liquid biopsy approach based on the super-resolution imaging (dSTORM) of specific protein markers carried by EVs isolated from the plasma of CRC patients. We analyzed combinations of both surface and intravesicular proteins, including EpCAM, PD-L1, CD81, IL-6, and Cyclin D1. Results: Specific combinations of EV-associated markers were able to distinguish patients with recurrence from those without residual disease. Additionally, we observed correlations between some marker profiles and tumor stage or lymph node involvement. No association was found with mismatch repair system status. Conclusions: To our knowledge, this is the first study to propose the use of EV-bound proteins for recurrence detection in CRC using super-resolution microscopy within a liquid biopsy framework. These findings support the potential of this approach as a non-invasive tool for CRC monitoring. Full article
(This article belongs to the Special Issue Extracellular Vesicles and Their Roles in Cancer Progression)
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