Cancerous perturbations within the ERK, PI3K/Akt, and Wnt/β-catenin signaling network constitutively activate

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Rahul Rao Padala1, Rishabh Karnawat, Satish Bharathwaj Viswanathan

  • 1Department of Biotechnology, National Institute of Technology Warangal, Warangal, Telangana 506004, India. bikasasim@gmail.com asimbikas@nitw.ac.in.

Molecular Biosystems
|April 4, 2017
PubMed

Insights

Cancer arises from genetic changes disrupting cell signaling pathways. This study models key pathways, revealing how network fragility drives uncontrolled cell growth and proliferation.

Area of Science:

  • Molecular biology
  • Systems biology
  • Cancer research

Background:

  • Cellular signaling pathways, including ERK, PI3K/Akt, and Wnt/β-catenin, are crucial for normal cell function.
  • Genetic or epigenetic alterations can perturb these pathways, leading to malignant transformation and cancer.
  • Network architecture, particularly feedback loops, influences cellular robustness against perturbations.

Purpose of the Study:

  • To develop a mathematical and quantitative model of the crosstalk between ERK, PI3K/Akt, and Wnt/β-catenin signaling pathways.
  • To analyze the dynamics of signaling responses under genetic and epigenetic changes associated with cancer.
  • To elucidate how network perturbations contribute to uncontrolled cell growth and cancer phenotypes.

Main Methods:

  • Mathematical and quantitative modeling of signaling pathway crosstalk.
  • Analysis of intra- and inter-pathway feedback loops within the ERK, PI3K/Akt, and Wnt/β-catenin networks.
  • Simulation of genetic and epigenetic alterations affecting key pathway components (e.g., EGFR, Ras, PTEN).

Main Results:

  • Cancer-associated perturbations in key components like EGFR, Ras, B-Raf, PTEN, and the destruction complex lead to significant network fragility.
  • Constitutive activation of inter-pathway positive feedback loops was observed due to these perturbations.
  • Aberrant signaling responses are transmitted through network crosstalk, amplifying effects on cancer cell growth and proliferation.

Conclusions:

  • Network fragility and the activation of feedback loops in signaling pathways are critical mechanisms driving cancer.
  • Crosstalk between signaling pathways plays a significant role in the additive effects on cancer progression.
  • Mathematical modeling provides insights into the complex dynamics of signaling networks in cancer development.

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