Integrating bioinformatics into multiscale models for hepatocellular carcinoma

NIH RePORTER · NIH · U01 · $43,359 · view on reporter.nih.gov ↗

Abstract

Project Summary Hepatocellular carcinoma (HCC) causes the 3rd most cancer related deaths worldwide, only a 5- year survival rate of 12%, and over 70% of HCC cases are diagnosed late-stage. In late stage, HCC has developed a complex molecular and cellular network in order to survive. The complexity of this system makes treatment of HCC difficult. Understanding the molecular and cellular processes in HCC opens the door to possible treatment methods. To aid in the understanding of HCC function and therapeutic response, the parent proposal embeds cell signaling networks with states determined by genomic data in multi-scale mathematical models. Preliminary work by Dr. Fertig and Dr. Popel has used such a cellular signaling network of the HGF/Met pathway to model HCC [1]. Independently, Dr. Fertig has demonstrated that alternative splicing can dysregulate cellular signaling pathways in absence of mutations or copy number alterations [2]. This supplement to the associated parent grant will provide a framework for evaluating alternative splicing events and their relation to functional changes in HCC to enhance the signaling networks in the mathematical models.

Key facts

NIH application ID
10154624
Project number
3U01CA212007-03S1
Recipient
JOHNS HOPKINS UNIVERSITY
Principal Investigator
Andrew Josef Ewald
Activity code
U01
Funding institute
NIH
Fiscal year
2020
Award amount
$43,359
Award type
3
Project period
2020-05-01 → 2023-03-31