The role of exosomes in liquid biopsy for cancer diagnosis and prognosis prediction

Liquid biopsy is a revolutionary strategy in cancer diagnosis and prognosis prediction, which is used to analyze cancer cells or cancer‐derived products through biofluids such as blood, urine and so on. Exosomes play a crucial role in mediating cell communication. A growing number of studies have re...

Full description

Saved in:
Bibliographic Details
Published in:International journal of cancer 2021-06, Vol.148 (11), p.2640-2651
Main Authors: Li, Shiyu, Yi, Ming, Dong, Bing, Tan, Ximin, Luo, Suxia, Wu, Kongming
Format: Article
Language:English
Subjects:
Biomarkers
Biomarkers, Tumor - genetics
Biomarkers, Tumor - metabolism
Biopsy
Cancer
Cell interactions
Diagnosis
Drug resistance
Early Detection of Cancer
Exosomes
Exosomes - genetics
Exosomes - metabolism
Humans
Liquid Biopsy
Medical diagnosis
Medical research
Metastases
Neoplasms - diagnosis
Neoplasms - genetics
Neoplasms - metabolism
Predictions
Prognosis
Review
Tumorigenesis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Liquid biopsy is a revolutionary strategy in cancer diagnosis and prognosis prediction, which is used to analyze cancer cells or cancer‐derived products through biofluids such as blood, urine and so on. Exosomes play a crucial role in mediating cell communication. A growing number of studies have reported that exosomes are involved in tumorigenesis, tumor growth, metastasis and drug resistance by delivering cargos including nucleic acids and protein. Thus, exosomes, as a new type of liquid biopsy, have the potential to be diagnostic or prognostic biomarkers. Herein, we elaborate on the current methods and introduce novel techniques for exosome isolation and characterization. Moreover, we elucidate the advantages of exosomes compared to other biological components in liquid biopsy and summarize the different exosomal biomarkers in cancer diagnosis and prognosis prediction.
ISSN:0020-7136
1097-0215
DOI:10.1002/ijc.33386