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

Microdissected pancreatic cancer proteomes reveal tumor heterogeneity and therapeutic targets
Tessa Y.S. Le Large, Giulia Mantini, Laura L. Meijer, Thang V. Pham, Niccola Funel, Nicole C.T. van Grieken, Bart Kok, Jaco Knol, Hanneke W.M. van Laarhoven, Sander R. Piersma, Connie R. Jimenez, G. Kazemier, Elisa Giovannetti, Maarten F. Bijlsma
Tessa Y.S. Le Large, Giulia Mantini, Laura L. Meijer, Thang V. Pham, Niccola Funel, Nicole C.T. van Grieken, Bart Kok, Jaco Knol, Hanneke W.M. van Laarhoven, Sander R. Piersma, Connie R. Jimenez, G. Kazemier, Elisa Giovannetti, Maarten F. Bijlsma
View: Text | PDF
Research Article Cell biology Oncology

Microdissected pancreatic cancer proteomes reveal tumor heterogeneity and therapeutic targets

  • Text
  • PDF
Abstract

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a relative paucity of cancer cells that are surrounded by an abundance of nontumor cells and extracellular matrix, known as stroma. The interaction between stroma and cancer cells contributes to poor outcome, but how proteins from these individual compartments drive aggressive tumor behavior is not known. Here, we report the proteomic analysis of laser-capture microdissected (LCM) PDAC samples. We isolated stroma, tumor, and bulk samples from a cohort with long- and short-term survivors. Compartment-specific proteins were measured by mass spectrometry, yielding what we believe to be the largest PDAC proteome landscape to date. These analyses revealed that, in bulk analysis, tumor-derived proteins were typically masked and that LCM was required to reveal biology and prognostic markers. We validated tumor CALB2 and stromal COL11A1 expression as compartment-specific prognostic markers. We identified and functionally addressed the contributions of the tumor cell receptor EPHA2 to tumor cell viability and motility, underscoring the value of compartment-specific protein analysis in PDAC.

Authors

Tessa Y.S. Le Large, Giulia Mantini, Laura L. Meijer, Thang V. Pham, Niccola Funel, Nicole C.T. van Grieken, Bart Kok, Jaco Knol, Hanneke W.M. van Laarhoven, Sander R. Piersma, Connie R. Jimenez, G. Kazemier, Elisa Giovannetti, Maarten F. Bijlsma

×

Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 765 177
PDF 118 61
Figure 293 1
Table 89 0
Supplemental data 359 25
Citation downloads 111 0
Totals 1,735 264
Total Views 1,999
(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