Towards pathway-centric cancer therapies via pharmacogenomic profiling analysis of ERK signalling pathway

Haiyun Wang1, Xiaoqi Zheng, Teng Fei

  • 1School of Life Science and Technology, Tongji University, Shanghai, 200092, China, wanghaiyun@tongji.edu.cn.

Abstract

Insights

Cancer drug discovery can be improved by shifting from gene-centric to pathway-centric therapies. Understanding pathway component interactions is key to overcoming drug resistance and improving treatment outcomes.

Area of Science:

  • Genomics
  • Cancer Biology
  • Pharmacology

Background:

  • Genomic heterogeneity in human cancers poses challenges for personalized medicine.
  • Malignant tumors share core perturbed pathways, suggesting pathway-centric approaches may overcome heterogeneity.
  • Understanding key pathways and their properties is crucial for cancer drug discovery and therapy.

Purpose of the Study:

  • To investigate the influence of ERK signaling pathway components and topology on pathway activity and targeted therapies.
  • To identify factors influencing drug sensitivity in cancer.
  • To propose a model for pathway-centric cancer therapies.

Main Methods:

  • Utilized large-scale pharmacogenomic profiling data from the Cancer Genome Project and Cancer Cell Line Encyclopedia.
  • Conducted a systematic in silico investigation of ERK signaling pathway components and topological structures.
  • Employed Mann-Whitney U test with Benjamini-Hochberg correction to identify gene alterations associated with drug sensitivity.

Main Results:

  • Genetic alterations are crucial for pathway activation and tumorigenesis.
  • Drug sensitivity is influenced by both effector and non-effector pathways, genomic alterations, and pathway component interplay.
  • Combinatorial targeting of key pathway nodes may improve treatment outcomes.

Conclusions:

  • The study offers a holistic view of factors affecting drug sensitivity.
  • Highlights the potential of pathway-centric cancer therapies for improved treatment strategies.

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