Extracellular vesicles in cancer diagnostics and therapeutics

2021 ◽  
Vol 223 ◽  
pp. 107806
Author(s):  
Adeeb Shehzad ◽  
Salman Ul Islam ◽  
Raheem Shahzad ◽  
Salman Khan ◽  
Young Sup Lee
Lab on a Chip ◽  
2021 ◽  
Author(s):  
Shibo Cheng ◽  
Yutao Li ◽  
He Yan ◽  
Yunjie Wen ◽  
Xin Zhou ◽  
...  

Extracellular vesicles (EVs) secreted by cells into the bloodstream and other bodily fluids, including exosomes, have been demonstrated to be a class of significant messengers that mediate intercellular communications. Tumor-derived...


Nanoscale ◽  
2021 ◽  
Author(s):  
Hanna Koster ◽  
Tatu Rojalin ◽  
Alyssa Powell ◽  
Dina Pham ◽  
Rachel Mizenko ◽  
...  

Given the emerging diagnostic utility of extracellular vesicles (EVs), it is important to account for non-EV contaminants. Lipoprotein present in EV-enriched isolates may inflate particle counts and decrease sensitivity to...


The Analyst ◽  
2016 ◽  
Vol 141 (2) ◽  
pp. 371-381 ◽  
Author(s):  
Vijaya Sunkara ◽  
Hyun-Kyung Woo ◽  
Yoon-Kyoung Cho

We present an overview of current isolation, detection, and characterization methods of extracellular vesicles and their applications and limitations as a potential emerging biomarker in cancer management and their clinical implementation.


Lab on a Chip ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 2346-2355 ◽  
Author(s):  
Yuan Wan ◽  
Mackenzie Maurer ◽  
Hong-Zhang He ◽  
Yi-Qiu Xia ◽  
Si-Jie Hao ◽  
...  

Nanoscale extracellular vesicles (nEVs) have recently demonstrated potential value in cancer diagnostics and treatment monitoring, but translation has been limited by technical challenges in nEV isolation.


Molecules ◽  
2021 ◽  
Vol 26 (20) ◽  
pp. 6145
Author(s):  
Svetlana E. Novikova ◽  
Natalia A. Soloveva ◽  
Tatiana E. Farafonova ◽  
Olga V. Tikhonova ◽  
Pao-Chi Liao ◽  
...  

The proteins of extracellular vesicles (EVs) that originate from tumors reflect the producer cells’ proteomes and can be detected in biological fluids. Thus, EVs provide proteomic signatures that are of great interest for screening and predictive cancer diagnostics. By applying targeted mass spectrometry with stable isotope-labeled peptide standards, we assessed the levels of 28 EV-associated proteins, including the conventional exosome markers CD9, CD63, CD81, CD82, and HSPA8, in vesicles derived from the lung cancer cell lines NCI-H23 and A549. Furthermore, we evaluated the detectability of these proteins and their abundance in plasma samples from 34 lung cancer patients and 23 healthy volunteers. The abundance of TLN1, TUBA4A, HSPA8, ITGB3, TSG101, and PACSIN2 in the plasma of lung cancer patients was measured using targeted mass spectrometry and compared to that in plasma from healthy volunteers. The most diagnostically potent markers were TLN1 (AUC, 0.95), TUBA4A (AUC, 0.91), and HSPA8 (AUC, 0.88). The obtained EV proteomic signature allowed us to distinguish between the lung adenocarcinoma and squamous cell carcinoma histological types. The proteomic cargo of the extracellular vesicles represents a promising source of potential biomarkers.


PROTEOMICS ◽  
2019 ◽  
Vol 19 (1-2) ◽  
pp. 1800162 ◽  
Author(s):  
Anthony Yan-Tang Wu ◽  
Koji Ueda ◽  
Charles Pin-Kuang Lai

Biomedicines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 580
Author(s):  
Eric Boateng Osei ◽  
Liliia Paniushkina ◽  
Konrad Wilhelm ◽  
Jürgen Popp ◽  
Irina Nazarenko ◽  
...  

Extracellular vesicles (EVs) are membrane-enclosed structures ranging in size from about 60 to 800 nm that are released by the cells into the extracellular space; they have attracted interest as easily available biomarkers for cancer diagnostics. In this study, EVs from plasma of control and prostate cancer patients were fractionated by differential centrifugation at 5000× g, 12,000× g and 120,000× g. The remaining supernatants were purified by ultrafiltration to produce EV-depleted free-circulating (fc) fractions. Spontaneous Raman and surface-enhanced Raman spectroscopy (SERS) at 785 nm excitation using silver nanoparticles (AgNPs) were employed as label-free techniques to collect fingerprint spectra and identify the fractions that best discriminate between control and cancer patients. SERS spectra from 10 µL droplets showed an enhanced Raman signature of EV-enriched fractions that were much more intense for cancer patients than controls. The Raman spectra of dehydrated pellets of EV-enriched fractions without AgNPs were dominated by spectral contributions of proteins and showed variations in S-S stretch, tryptophan and protein secondary structure bands between control and cancer fractions. We conclude that the AgNPs-mediated SERS effect strongly enhances Raman bands in EV-enriched fractions, and the fractions, EV12 and EV120 provide the best separation of cancer and control patients by Raman and SERS spectra.


Author(s):  
Ana Špilak ◽  
Andreas Brachner ◽  
Ulrike Kegler ◽  
Winfried Neuhaus ◽  
Christa Noehammer

2021 ◽  
Vol 22 (7) ◽  
pp. 3374
Author(s):  
Simone Lipinski ◽  
Katharina Tiemann

Extracellular vesicles (EVs) serve as trafficking vehicles and intercellular communication tools. Their cargo molecules directly reflect characteristics of their parental cell. This includes information on cell identity and specific cellular conditions, ranging from normal to pathological states. In cancer, the content of EVs derived from tumor cells is altered and can induce oncogenic reprogramming of target cells. As a result, tumor-derived EVs compromise antitumor immunity and promote cancer progression and spreading. However, this pro-oncogenic phenotype is constantly being challenged by EVs derived from the local tumor microenvironment and from remote sources. Here, we summarize the role of EVs in the tumor–immune cross-talk that includes, but is not limited to, immune cells in the tumor microenvironment. We discuss the potential of remotely released EVs from the microbiome and during physical activity to shape the tumor–immune cross-talk, directly or indirectly, and confer antitumor activity. We further discuss the role of proinflammatory EVs in the temporal development of the tumor–immune interactions and their potential use for cancer diagnostics.


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