Integrating phosphoproteomics into kinase-targeted cancer therapies in precision medicine

Xiaomo Wu1, Xiaohua Xing2, Djameel Dowlut2

  • 1The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, People's Republic of China; Department of Biomedicine, University of Basel, Klingelbergstr. 70, CH-4056 Basel, Switzerland; Dermatology Institute of Fuzhou, Dermatology Hospital of Fuzhou, Fuzhou 350025, People's Republic of China.

Journal of Proteomics
|April 6, 2018
PubMed

Insights

Protein phosphorylation regulates cell processes and aberrant signaling drives cancer. Phosphoproteomics advances enable new kinase-targeted cancer therapies and drug discovery by profiling signaling networks.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Cancer Research

Background:

  • Protein phosphorylation is a key post-translational modification regulating cellular processes.
  • Aberrant phosphorylation is implicated in cancer development and progression.
  • Protein kinase inhibitors are crucial cancer therapeutics.

Purpose of the Study:

  • To review advancements in phosphoproteomics methodology.
  • To discuss the application of phosphoproteomics in translational cancer research.
  • To highlight its role in drug target discovery and overcoming resistance.

Main Methods:

  • Mass spectrometry-based phosphoproteomics.
  • Biochemical phosphopeptide enrichment techniques.
  • Computational approaches for analyzing signaling networks.

Main Results:

  • High-throughput phosphoproteomics offers unprecedented depth in kinase signaling network investigation.
  • Phosphoproteomics profiling can identify activated kinase pathways.
  • It aids in understanding signaling network remodeling in response to kinase inhibitors.

Conclusions:

  • Phosphoproteomics is vital for advancing kinase-targeted cancer therapies.
  • It facilitates novel drug target discovery and overcoming therapeutic resistance.
  • Challenges and insights for clinical application in precision medicine are addressed.

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