IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v523y2015i7559d10.1038_nature14581.html
   My bibliography  Save this article

Glypican-1 identifies cancer exosomes and detects early pancreatic cancer

Author

Listed:
  • Sonia A. Melo

    (Metastasis Research Center, University of Texas MD Anderson Cancer Center
    †Present address: Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal, Institute of Pathology and Molecular Immunology of the University of Porto (IPATIMUP), 4200 Porto, Portugal.)

  • Linda B. Luecke

    (Metastasis Research Center, University of Texas MD Anderson Cancer Center)

  • Christoph Kahlert

    (Metastasis Research Center, University of Texas MD Anderson Cancer Center)

  • Agustin F. Fernandez

    (Cancer Epigenetics Laboratory, Institute of Oncology of Asturias (IUOPA), HUCA, Universidad de Oviedo)

  • Seth T. Gammon

    (The University of Texas M.D. Anderson Cancer Center)

  • Judith Kaye

    (Metastasis Research Center, University of Texas MD Anderson Cancer Center)

  • Valerie S. LeBleu

    (Metastasis Research Center, University of Texas MD Anderson Cancer Center)

  • Elizabeth A. Mittendorf

    (The University of Texas MD Anderson Cancer Center)

  • Juergen Weitz

    (Thoracic and Vascular Surgery, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden)

  • Nuh Rahbari

    (Thoracic and Vascular Surgery, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden)

  • Christoph Reissfelder

    (Thoracic and Vascular Surgery, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden)

  • Christian Pilarsky

    (Thoracic and Vascular Surgery, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden)

  • Mario F. Fraga

    (Cancer Epigenetics Laboratory, Institute of Oncology of Asturias (IUOPA), HUCA, Universidad de Oviedo
    National Center for Biotechnology, CNB-CSIC)

  • David Piwnica-Worms

    (The University of Texas M.D. Anderson Cancer Center)

  • Raghu Kalluri

    (Metastasis Research Center, University of Texas MD Anderson Cancer Center)

Abstract

Exosomes are lipid-bilayer-enclosed extracellular vesicles that contain proteins and nucleic acids. They are secreted by all cells and circulate in the blood. Specific detection and isolation of cancer-cell-derived exosomes in the circulation is currently lacking. Using mass spectrometry analyses, we identify a cell surface proteoglycan, glypican-1 (GPC1), specifically enriched on cancer-cell-derived exosomes. GPC1+ circulating exosomes (crExos) were monitored and isolated using flow cytometry from the serum of patients and mice with cancer. GPC1+ crExos were detected in the serum of patients with pancreatic cancer with absolute specificity and sensitivity, distinguishing healthy subjects and patients with a benign pancreatic disease from patients with early- and late-stage pancreatic cancer. Levels of GPC1+ crExos correlate with tumour burden and the survival of pre- and post-surgical patients. GPC1+ crExos from patients and from mice with spontaneous pancreatic tumours carry specific KRAS mutations, and reliably detect pancreatic intraepithelial lesions in mice despite negative signals by magnetic resonance imaging. GPC1+ crExos may serve as a potential non-invasive diagnostic and screening tool to detect early stages of pancreatic cancer to facilitate possible curative surgical therapy.

Suggested Citation

  • Sonia A. Melo & Linda B. Luecke & Christoph Kahlert & Agustin F. Fernandez & Seth T. Gammon & Judith Kaye & Valerie S. LeBleu & Elizabeth A. Mittendorf & Juergen Weitz & Nuh Rahbari & Christoph Reissf, 2015. "Glypican-1 identifies cancer exosomes and detects early pancreatic cancer," Nature, Nature, vol. 523(7559), pages 177-182, July.
    • Handle: RePEc:nat:nature:v:523:y:2015:i:7559:d:10.1038_nature14581
    DOI: 10.1038/nature14581
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature14581
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/nature14581?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Manju Padmasekar & Rajkumar Savai & Werner Seeger & Soni Savai Pullamsetti, 2021. "Exposomes to Exosomes: Exosomes as Tools to Study Epigenetic Adaptive Mechanisms in High-Altitude Humans," IJERPH, MDPI, vol. 18(16), pages 1-20, August.
    2. Ghazala Malik & Fatima Sultan & Ahmed Bin Amir, 2019. "Pancreatic Cancer: Early Detection and Surveillance," Cancer Therapy & Oncology International Journal, Juniper Publishers Inc., vol. 13(1), pages 46-49, January.
    3. Nan Li & Alex Quan & Dan Li & Jiajia Pan & Hua Ren & Gerard Hoeltzel & Natalia Val & Dana Ashworth & Weiming Ni & Jing Zhou & Sean Mackay & Stephen M. Hewitt & Raul Cachau & Mitchell Ho, 2023. "The IgG4 hinge with CD28 transmembrane domain improves VHH-based CAR T cells targeting a membrane-distal epitope of GPC1 in pancreatic cancer," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    4. Sean L Nguyen & Jacob W Greenberg & Hao Wang & Benjamin W Collaer & Jianrong Wang & Margaret G Petroff, 2019. "Quantifying murine placental extracellular vesicles across gestation and in preterm birth data with tidyNano: A computational framework for analyzing and visualizing nanoparticle data in R," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-14, June.
    5. Joshua D. Spitzberg & Scott Ferguson & Katherine S. Yang & Hannah M. Peterson & Jonathan C. T. Carlson & Ralph Weissleder, 2023. "Multiplexed analysis of EV reveals specific biomarker composition with diagnostic impact," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    6. Zhichao Yang & Avijit Mitra & Weisong Liu & Dan Berlowitz & Hong Yu, 2023. "TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    7. Shiyan Dong & Xuan Liu & Ye Bi & Yifan Wang & Abin Antony & DaeYong Lee & Kristin Huntoon & Seongdong Jeong & Yifan Ma & Xuefeng Li & Weiye Deng & Benjamin R. Schrank & Adam J. Grippin & JongHoon Ha &, 2023. "Adaptive design of mRNA-loaded extracellular vesicles for targeted immunotherapy of cancer," Nature Communications, Nature, vol. 14(1), pages 1-17, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:523:y:2015:i:7559:d:10.1038_nature14581. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.