Analysis of Ras-effector interaction competition in large intestine and colorectal cancer context

Verónica Ibáňez Gaspar1, Simona Catozzi1, Camille Ternet1

  • 1Systems Biology Ireland, and UCD Charles Institute of Dermatology, School of Medicine, University College Dublin, Belfield, Ireland.

Small Gtpases
|February 15, 2020
PubMed

Insights

Understanding KRAS signaling networks in colorectal cancer (CRC) is crucial for new treatments. This study models how Ras oncoproteins interact with effector proteins in colon cells, revealing network rewiring in cancer.

Area of Science:

  • Molecular biology
  • Systems biology
  • Oncology

Background:

  • Colorectal cancer (CRC) is a leading cause of cancer death globally.
  • Mutations in the KRAS oncogene occur in approximately 30% of CRCs.
  • Current CRC treatments are insufficient, highlighting the need for novel therapeutic strategies.

Purpose of the Study:

  • To investigate the network of Ras oncoprotein interactions within the colon tissue context.
  • To understand how these networks are rewired in colorectal cancer.
  • To identify potential targets for network-centric drug development in CRC.

Main Methods:

  • Analysis of 56 established and predicted Ras effectors involved in intestinal homeostasis.
  • Development of a computational network model using colon tissue protein concentrations and Ras-effector binding affinities.
  • Simulation of increased active Ras levels to model cancer-associated network changes.

Main Results:

  • The computational model predicted differential and competitive binding of effectors to Ras in the colon.
  • Increased active Ras levels led to predictable changes in Ras-effector complex formation due to binding competition.
  • Additional effector domains can enhance Ras-effector complex formation at the cell membrane.

Conclusions:

  • Ras-effector interactions are context-dependent and subject to competitive binding dynamics.
  • Network rewiring driven by Ras oncoprotein activity is an emergent property of these competitive interactions.
  • This systems biology approach provides insights into colon cancer signaling networks, potentially guiding future therapeutic interventions.