Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

Generation and testing of clinical-grade exosomes for pancreatic cancer
Mayela Mendt, Sushrut Kamerkar, Hikaru Sugimoto, Kathleen M. McAndrews, Chia-Chin Wu, Mihai Gagea, Sujuan Yang, Elena V. Rodriges Blanko, Qian Peng, Xiaoyan Ma, Joseph R. Marszalek, Anirban Maitra, Cassian Yee, Katayoun Rezvani, Elizabeth Shpall, Valerie S. LeBleu, Raghu Kalluri
Mayela Mendt, Sushrut Kamerkar, Hikaru Sugimoto, Kathleen M. McAndrews, Chia-Chin Wu, Mihai Gagea, Sujuan Yang, Elena V. Rodriges Blanko, Qian Peng, Xiaoyan Ma, Joseph R. Marszalek, Anirban Maitra, Cassian Yee, Katayoun Rezvani, Elizabeth Shpall, Valerie S. LeBleu, Raghu Kalluri
View: Text | PDF
Research Article Oncology

Generation and testing of clinical-grade exosomes for pancreatic cancer

  • Text
  • PDF
Abstract

Exosomes are extracellular vesicles produced by all cells with a remarkable ability to efficiently transfer genetic material, including exogenously loaded siRNA, to cancer cells. Here, we report on a bioreactor-based, large-scale production of clinical-grade exosomes employing good manufacturing practice (GMP) standards. A standard operating procedure was established to generate engineered exosomes with the ability to target oncogenic Kras (iExosomes). The clinical-grade GMP iExosomes were tested in multiple in vitro and in vivo studies to confirm suppression of oncogenic Kras and an increase in the survival of several mouse models with pancreatic cancer. We perform studies to determine the shelf life, biodistribution, toxicology profile, and efficacy in combination with chemotherapy to inform future clinical testing of GMP iExosomes. Collectively, this report illustrates the process and feasibility of generating clinical-grade exosomes for various therapies of human diseases.

Authors

Mayela Mendt, Sushrut Kamerkar, Hikaru Sugimoto, Kathleen M. McAndrews, Chia-Chin Wu, Mihai Gagea, Sujuan Yang, Elena V. Rodriges Blanko, Qian Peng, Xiaoyan Ma, Joseph R. Marszalek, Anirban Maitra, Cassian Yee, Katayoun Rezvani, Elizabeth Shpall, Valerie S. LeBleu, Raghu Kalluri

×

Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 3,205 1,130
PDF 395 389
Figure 852 4
Supplemental data 314 95
Citation downloads 135 0
Totals 4,901 1,618
Total Views 6,519
(Click and drag on plot area to zoom in. Click legend items above to toggle)

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement

Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts