The role of exosomes in the diagnosis of hematological cancers

Exosomes, nanoscale extracellular vesicles secreted by various cell types, have emerged as pivotal players in the diagnosis and monitoring of hematological cancers, including lymphomas, leukemia’s, and multiple myeloma. These vesicles encapsulate a diverse array of biomolecules, reflecting the physiological and pathological states of their origin cells, thus providing valuable insights into tumor biology. This article discusses the unique molecular signatures carried by exosomes, particularly focusing on microRNAs and proteins that serve as biomarkers for early detection, disease progression, and treatment response. The integration of artificial intelligence (AI) into exosomal research is highlighted as a transformative approach for identifying novel biomarkers, enhancing the precision of diagnostic assays, and facilitating personalized treatment strategies. Despite the promising potential of exosome-based diagnostics, challenges such as the standardization of isolation techniques and ethical considerations surrounding AI implementation remain. Future research directions should aim to overcome these obstacles, with an emphasis on improving exosome characterization methods and exploring novel biomarkers, ultimately enhancing patient outcomes through tailored therapeutic approaches.

Authors

Publication Details

Journal
Gene & Protein in Disease
Published
2025-11-12
DOI
https://doi.org/10.36922/gpd025070013
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00
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article

The role of exosomes in the diagnosis of hematological cancers

Pietro Cimatti, Pier Paolo Piccaluga, Valeriia Tsekhovska
Gene & Protein in Disease
Extracellular vesicles in disease
article

The role of exosomes in the diagnosis of hematological cancers

Pietro Cimatti, Pier Paolo Piccaluga, Valeriia Tsekhovska
article en

Abstract

Exosomes, nanoscale extracellular vesicles secreted by various cell types, have emerged as pivotal players in the diagnosis and monitoring of hematological cancers, including lymphomas, leukemia’s, and multiple myeloma. These vesicles encapsulate a diverse array of biomolecules, reflecting the physiological and pathological states of their origin cells, thus providing valuable insights into tumor biology. This article discusses the unique molecular signatures carried by exosomes, particularly focusing on microRNAs and proteins that serve as biomarkers for early detection, disease progression, and treatment response. The integration of artificial intelligence (AI) into exosomal research is highlighted as a transformative approach for identifying novel biomarkers, enhancing the precision of diagnostic assays, and facilitating personalized treatment strategies. Despite the promising potential of exosome-based diagnostics, challenges such as the standardization of isolation techniques and ethical considerations surrounding AI implementation remain. Future research directions should aim to overcome these obstacles, with an emphasis on improving exosome characterization methods and exploring novel biomarkers, ultimately enhancing patient outcomes through tailored therapeutic approaches.

Gene & Protein in DiseaseVol. 0(0)
Openalex Percentile: Top 69%
Extracellular vesicles in disease
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