Literature DB >> 33761899

Detection of tumor-derived extracellular vesicles in plasma from patients with solid cancer.

Silvia R Vitale1,2, Jean A Helmijr1, Marjolein Gerritsen1, Hicret Coban1, Lisanne F van Dessel1, Nick Beije1, Michelle van der Vlugt-Daane1, Paolo Vigneri2, Anieta M Sieuwerts1, Natasja Dits3, Martin E van Royen4, Guido Jenster3, Stefan Sleijfer1,5, Martijn Lolkema1, John W M Martens1,5, Maurice P H M Jansen6.   

Abstract

BACKGROUND: Extracellular vesicles (EVs) are actively secreted by cells into body fluids and contain nucleic acids of the cells they originate from. The goal of this study was to detect circulating tumor-derived EVs (ctEVs) by mutant mRNA transcripts (EV-RNA) in plasma of patients with solid cancers and compare the occurrence of ctEVs with circulating tumor DNA (ctDNA) in cell-free DNA (cfDNA).
METHODS: For this purpose, blood from 20 patients and 15 healthy blood donors (HBDs) was collected in different preservation tubes (EDTA, BCT, CellSave) and processed into plasma within 24 h from venipuncture. EVs were isolated with the ExoEasy protocol from this plasma and from conditioned medium of 6 cancer cell lines and characterized according to MISEV2018-guidelines. RNA from EVs was isolated with the ExoRNeasy protocol and evaluated for transcript expression levels of 96 genes by RT-qPCR and genotyped by digital PCR.
RESULTS: Our workflow applied on cell lines revealed a high concordance between cellular mRNA and EV-RNA in expression levels as well as variant allele frequencies for PIK3CA, KRAS and BRAF. Plasma CD9-positive EV and GAPDH EV-RNA levels were significantly different between the preservation tubes. The workflow detected only ctEVs with mutant transcripts in plasma of patients with high amounts (> 20%) of circulating tumor DNA (ctDNA). Expression profiling showed that the EVs from patients resemble healthy donors more than tumor cell lines supporting that most EVs are derived from healthy tissue.
CONCLUSIONS: We provide a workflow for ctEV detection by spin column-based generic isolation of EVs and PCR-based measurement of gene expression and mutant transcripts in EV-RNA derived from cancer patients' blood plasma. This workflow, however, detected tumor-specific mutations in blood less often in EV-RNA than in cfDNA.

Entities:  

Keywords:  EV-RNA; Liquid biopsy; cfDNA; dPCR

Mesh:

Substances:

Year:  2021        PMID: 33761899      PMCID: PMC7992353          DOI: 10.1186/s12885-021-08007-z

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


  61 in total

1.  The impact of various preanalytical treatments on the phenotype of small extracellular vesicles in blood analyzed by protein microarray.

Authors:  Rikke Bæk; Evo K L Søndergaard; Kim Varming; Malene M Jørgensen
Journal:  J Immunol Methods       Date:  2016-08-24       Impact factor: 2.303

2.  Global gene expression profiling of circulating tumor cells.

Authors:  Denis A Smirnov; Daniel R Zweitzig; Bradley W Foulk; M Craig Miller; Gerald V Doyle; Kenneth J Pienta; Neal J Meropol; Louis M Weiner; Steven J Cohen; Jose G Moreno; Mark C Connelly; Leon W M M Terstappen; S Mark O'Hara
Journal:  Cancer Res       Date:  2005-06-15       Impact factor: 12.701

3.  Nucleic acids within urinary exosomes/microvesicles are potential biomarkers for renal disease.

Authors:  Kevin C Miranda; Daniel T Bond; Mary McKee; Johan Skog; Teodor G Păunescu; Nicolas Da Silva; Dennis Brown; Leileata M Russo
Journal:  Kidney Int       Date:  2010-04-28       Impact factor: 10.612

4.  Immuno-based detection of extracellular vesicles in urine as diagnostic marker for prostate cancer.

Authors:  Diederick Duijvesz; C Yin L Versluis; Christa A M van der Fels; Mirella S Vredenbregt-van den Berg; Janne Leivo; Mari T Peltola; Chris H Bangma; Kim S I Pettersson; Guido Jenster
Journal:  Int J Cancer       Date:  2015-07-16       Impact factor: 7.396

Review 5.  Exosomes in tumor microenvironment influence cancer progression and metastasis.

Authors:  Christoph Kahlert; Raghu Kalluri
Journal:  J Mol Med (Berl)       Date:  2013-03-22       Impact factor: 4.599

6.  Identifying mRNA, microRNA and protein profiles of melanoma exosomes.

Authors:  Deyi Xiao; Joanna Ohlendorf; Yinlu Chen; Douglas D Taylor; Shesh N Rai; Sabine Waigel; Wolfgang Zacharias; Hongying Hao; Kelly M McMasters
Journal:  PLoS One       Date:  2012-10-09       Impact factor: 3.240

7.  Alternative methods for characterization of extracellular vesicles.

Authors:  Fatemeh Momen-Heravi; Leonora Balaj; Sara Alian; John Tigges; Vasilis Toxavidis; Maria Ericsson; Robert J Distel; Alexander R Ivanov; Johan Skog; Winston Patrick Kuo
Journal:  Front Physiol       Date:  2012-09-07       Impact factor: 4.566

8.  Analysis of extracellular RNA by digital PCR.

Authors:  Kenji Takahashi; Irene K Yan; Chaeyoung Kim; Jungsu Kim; Tushar Patel
Journal:  Front Oncol       Date:  2014-06-04       Impact factor: 6.244

9.  Distinct prostate cancer-related mRNA cargo in extracellular vesicle subsets from prostate cell lines.

Authors:  Elisa Lázaro-Ibáñez; Taral R Lunavat; Su Chul Jang; Carmen Escobedo-Lucea; Jorge Oliver-De La Cruz; Pia Siljander; Jan Lötvall; Marjo Yliperttula
Journal:  BMC Cancer       Date:  2017-02-01       Impact factor: 4.430

10.  Development of a rapid lateral flow immunoassay test for detection of exosomes previously enriched from cell culture medium and body fluids.

Authors:  Myriam Oliveira-Rodríguez; Sheila López-Cobo; Hugh T Reyburn; Agustín Costa-García; Soraya López-Martín; María Yáñez-Mó; Eva Cernuda-Morollón; Annette Paschen; Mar Valés-Gómez; Maria Carmen Blanco-López
Journal:  J Extracell Vesicles       Date:  2016-08-12
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  1 in total

1.  Advances in the analysis of single extracellular vesicles: A critical review.

Authors:  Shannon H Hilton; Ian M White
Journal:  Sens Actuators Rep       Date:  2021-10-10
  1 in total

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