Cited by 551Extracellular vesicles in diseaseMicroRNA in disease regulationNanoparticle-Based Drug Delivery

Intercellular nanovesicle-mediated microRNA transfer: A mechanism of environmental modulation of hepatocellular cancer cell growth

Open access
Kogure, Takayuki, Lin, Wen-Lang, Yan, Irene K., Braconi, Chiara, Patel, Tushar·2011·Hepatology

Abstract

Hepatocellular carcinoma (HCC) is characterized by a propensity for multifocality, growth by local spread, and dysregulation of multiple signaling pathways. These features may be determined by the tumoral microenvironment. The potential of tumor cells to modulate HCC growth and behavior by secreted proteins has been extensively studied. In contrast, the potential for genetic modulation is poorly understood. We investigated the role and involvement of tumor-derived nanovesicles capable of altering gene expression and characterized their ability to modulate cell signaling and biological effects in other cells. We show that HCC cells can produce nanovesicles and exosomes that differ in both RNA and protein content from their cells of origin. These can be taken up and internalized by other cells and can transmit a functional transgene. The microRNA (miRNA) content of these exosomes was examined, and a subset highly enriched within exosomes was identified. A combinatorial approach to identify potential targets identified transforming growth factor β activated kinase-1 (TAK1) as the most likely candidate pathway that could be modulated by these miRNAs. Loss of TAK1 has been implicated in hepatocarcinogenesis and is a biologically plausible target for intercellular modulation. We show that HCC cell-derived exosomes can modulate TAK1 expression and associated signaling and enhance transformed cell growth in recipient cells. Conclusion : Exosome-mediated miRNA transfer is an important mechanism of intercellular communication in HCC cells. These observations identify a unique intercellular mechanism that could potentially contribute to local spread, intrahepatic metastases, or multifocal growth in HCC. (Hepatology 2011;)

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Crossref · 10.1002/hep.24504

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  • Extracellular vesicles can transfer RNAs such as non-coding RNAs from one cell to another and thereby contribute to inter-cellular communication.

    “Recent studies have confirmed that EV can transfer RNAs such as ncRNAs from one cell to another and thereby contribute to important roles in inter-cellular communication (3–9).”

    From Analysis of Extracellular RNA by Digital PCR (2014) · cites this paper as [8]

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Research works printed but not linked: 25

  1. [1]Hui EE Bhatia SN Micromechanical control of cell-cell interactions Proc Natl Acad Sci U S A 2007 104 5722 5726 17389399 PMC1851558
  2. [2]Thery C Ostrowski M Segura E Membrane vesicles as conveyors of immune responses Nat Rev Immunol 2009 9 581 593 19498381
  3. [3]van Niel G Porto-Carreiro I Simoes S Raposo G Exosomes: a common pathway for a specialized function J Biochem 2006 140 13 21 16877764
  4. [4]Cocucci E Racchetti G Meldolesi J Shedding microvesicles: artefacts no more Trends Cell Biol 2009 19 43 51 19144520
  5. [5]Saunderson SC Schuberth PC Dunn AC Miller L Hock BD MacKay PA Koch N Induction of exosome release in primary B cells stimulated via CD40 and the IL-4 receptor J Immunol 2008 180 8146 8152 18523279
  6. [6]Zitvogel L Regnault A Lozier A Wolfers J Flament C Tenza D Ricciardi-Castagnoli P Eradication of established murine tumors using a novel cell-free vaccine: dendritic cell-derived exosomes Nat Med 1998 4 594 600 9585234
  7. [7]Valadi H Ekstrom K Bossios A Sjostrand M Lee JJ Lotvall JO Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells Nat Cell Biol 2007 9 654 659 17486113
  8. [8]Mallegol J Van Niel G Lebreton C Lepelletier Y Candalh C Dugave C Heath JK T84-intestinal epithelial exosomes bear MHC class II/peptide complexes potentiating antigen presentation by dendritic cells Gastroenterology 2007 132 1866 1876 17484880
  9. [9]Smalheiser NR Exosomal transfer of proteins and RNAs at synapses in the nervous system Biol Direct 2007 2 35 18053135 PMC2219957
  10. [10]Skog J Wurdinger T van Rijn S Meijer DH Gainche L Sena-Esteves M Curry WT Jr Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers Nat Cell Biol 2008 10 1470 1476 19011622 PMC3423894
  11. [11]Gutwein P Stoeck A Riedle S Gast D Runz S Condon TP Marme A Cleavage of L1 in exosomes and apoptotic membrane vesicles released from ovarian carcinoma cells Clin Cancer Res 2005 11 2492 2501 15814625
  12. [12]Li J Sherman-Baust CA Tsai-Turton M Bristow RE Roden RB Morin PJ Claudin-containing exosomes in the peripheral circulation of women with ovarian cancer BMC Cancer 2009 9 244 19619303 PMC2719664
  13. [13]Zhou H Cheruvanky A Hu X Matsumoto T Hiramatsu N Cho ME Berger A Urinary exosomal transcription factors, a new class of biomarkers for renal disease Kidney Int 2008 74 613 621 18509321 PMC2562924
  14. [14]Andre F Schartz NE Movassagh M Flament C Pautier P Morice P Pomel C Malignant effusions and immunogenic tumour-derived exosomes Lancet 2002 360 295 305 12147373
  15. [15]Utsugi-Kobukai S Fujimaki H Hotta C Nakazawa M Minami M MHC class I-mediated exogenous antigen presentation by exosomes secreted from immature and mature bone marrow derived dendritic cells Immunol Lett 2003 89 125 131 14556969
  16. [16]Luketic L Delanghe J Sobol PT Yang P Frotten E Mossman KL Gauldie J Antigen presentation by exosomes released from peptide-pulsed dendritic cells is not suppressed by the presence of active CTL J Immunol 2007 179 5024 5032 17911587
  17. [17]Viaud S Terme M Flament C Taieb J Andre F Novault S Escudier B Dendritic cell-derived exosomes promote natural killer cell activation and proliferation: a role for NKG2D ligands and IL-15Ralpha PLoS One 2009 4 e4942 19319200 PMC2657211
  18. [18]Whittaker S Marais R Zhu AX The role of signaling pathways in the development and treatment of hepatocellular carcinoma Oncogene 2010 29 4989 5005 20639898
  19. [20]Kuhn DE Nuovo GJ Martin MM Malana GE Pleister AP Jiang J Schmittgen TD Human chromosome 21-derived miRNAs are overexpressed in down syndrome brains and hearts Biochem Biophys Res Commun 2008 370 473 477 18387358 PMC2585520
  20. [22]Friedman Y Naamati G Linial M MiRror: a combinatorial analysis web tool for ensembles of microRNAs and their targets Bioinformatics 2010 26 1920 1921 20529892
  21. [23]Jensen LJ Kuhn M Stark M Chaffron S Creevey C Muller J Doerks T STRING 8--a global view on proteins and their functional interactions in 630 organisms Nucleic Acids Res 2009 37 D412 416 18940858 PMC2686466
  22. [24]Bettermann K Vucur M Haybaeck J Koppe C Janssen J Heymann F Weber A TAK1 suppresses a NEMO-dependent but NF-kappaB-independent pathway to liver cancer Cancer Cell 2010 17 481 496 20478530
  23. [25]Inokuchi S Aoyama T Miura K Osterreicher CH Kodama Y Miyai K Akira S Disruption of TAK1 in hepatocytes causes hepatic injury, inflammation, fibrosis, and carcinogenesis Proc Natl Acad Sci U S A 2010 107 844 849 20080763 PMC2818947
  24. [26]Malato Y Willenbring H The MAP3K TAK1: a chock block to liver cancer formation Hepatology 2010 52 1506 1509 20879030
  25. [27]Fujiki T Miura T Maura M Shiraishi H Nishimura S Imada Y Uehara N TAK1 represses transcription of the human telomerase reverse transcriptase gene Oncogene 2007 26 5258 5266 17325661

Cited by

Sorted by citations

Authors
Kogure, T., Lin, W.-L., Yan, I. K., Braconi, C., & Patel, T.
Affiliations
  • Mayo Clinic in Florida (US)
  • The Ohio State University (US)
Corresponding author
Patel, Tushar
Venue
Hepatology
Published
2011-10
Volume
54
Issue
4
Pages
1237-1248
ISSN
0270-9139 (ISSN-L)
OpenAlex
W1982255083
Cited by
551
References
2
Citations by year
2026: 15 · 2025: 16 · 2024: 16 · 2023: 18 · 2022: 34 · 2021: 41 · 2020: 52 · 2019: 40 · 2018: 50 · 2017: 46 · 2016: 45 · 2015: 48 · 2014: 56 · 2013: 35 · 2012: 30
FWCI
16.51
Type
journal article
Language
en
Open access
Locations
  • Hepatology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
Funders
  • National Institutes of Health
  • National Institute of Diabetes and Digestive and Kidney Diseases (R01DK069370)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
Keywords
hepatocellular carcinoma, exosomes, microRNA transfer, intercellular communication, TAK1, tumor microenvironment, intrahepatic metastasis, multifocality, cell growth regulation
MeSH terms
Cell Communication, Female, Carcinoma, Hepatocellular, Humans, Liver Neoplasms, Male, Neoplasm Invasiveness, Sampling Studies, Tumor Cells, Cultured, Signal Transduction, MicroRNAs, Cell Proliferation, Exosomes, Tumor Microenvironment, Real-Time Polymerase Chain Reaction

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