Prof. Tejpar (2011)

Project details

Project start: 
2011
Pathology: 
Colorectal Cancer
University: 
Katholieke Universiteit Leuven (KU Leuven)

Goal

To contribute miRNA data to a  comprehensive, molecular map of colorectal cancer, that will serve prognostic, predictive and therapeutic targeting purposes.

Why ?

Colon cancer is divided in several molecular subtypes. Understanding these subtypes will help determining which patients will benefit most from adjuvant therapy and impedes the development of new targeted agents. In this project we will study the value of miRNA in subtyping CRC and in providing novel insights for therapeutic targeting. miRNA themselves may be targeted, or novel pathway combinatinatorial targeting may be suggested by miRNA networks.

Scientific project description

Unique feature of the 1. 600 samples PETACC-3 dataset that is being used is 10Y outcome data, allowing to follow-on and analyze chemo-treated primary tumors.The project concentrated so far on the generation of state of the art miRNA data and is currently looking for miRNA based diagnostic, prognostic and predictive markers. miRNA data will soon also be integrated with the existing gene expression and mutation data.

Key findings

To date, miRNA predictive of Disease Relapse and overall survival have been identified. Also; miRNA have been identified  that are related to major CRC subtypes, such as the intrinsic subtypes, the MSI subtype, and the BRAF like subtype. Integration of gene expression , miRNA and mutation data is ongoing to understand the pathways controlled and deregulated by these differentially expressed miRNA’s. Validation of correlation is performed in TCGA.

Status

  • IP in preparation
  • Publications in preparation
  • Verification studies being prospected

Budget

Committed/spent: €581.000/€566.600

 

Discovery
Qualification & Verification
Platform selection & Clinical Assay
Validation
Prof. Tejpar (2011)
Colorectal Cancer

Molecular map development

tissue