Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Side Population in Pancreatic Ductal Adenocarcinoma (PDAC)

University Hospital, Gasthuisberg · 2008
ClinicalTrials.gov · Datasets · License: Public Domain · 2008
Open Source ↗
cancerneoplasmpancreas
In the current project we aim to study the oncological process of pancreatic cancer, from a perspective of the CSC-theory and in particular through the 'side population' (SP)-approach. The SP seems to be enriched for CSC and doesn't a priori exclude any CSC-subpopulation. After isolation from pancreatic cancer resection specimens, SP cells will be characterized by gene-expression profiling based on microarray analysis. We'll identify markers and pathways (with emphasis for stem cell and cancer -related ones) that are differentially expressed in SP versus the rest of tumour cells (the 'main population' or MP). In order to assess the prognostic relevance of the SP, we'll study these genes using the high-throughput Nanostring technology in about 200 snap-frozen PDAC resection specimens of patients from our prospective database. Finally, two monoclonal antibodies (mAB) will be tested as novel therapeutic agents in vivo (mouse model), wherein the choice of mAB will be based on prognostically relevant molecular targets and pathways obtained from the Nanostring results.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1229464
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive