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Proteolytic signaling in cancer

Murilo Salardani1, Uilla Barcick1, André Zelanis1

  • 1Functional Proteomics Laboratory, Institute of Science and Technology, Federal University of São Paulo, São José dos Campos, SP, Brazil.

Expert Review of Proteomics
|October 24, 2023
PubMed
Abstract

Insights

Identifying protein fragments from proteolytic processing in cancer can reveal protease roles and substrate functions. This aids in discovering biomarkers for cancer diagnosis, prognosis, and targeted therapies.

Area of Science:

  • Oncology
  • Proteomics
  • Molecular Biology

Background:

  • Cancer is a complex disease driven by altered biological pathways and somatic mutations.
  • Omics approaches, particularly proteomics, are increasingly contributing to cancer research.
  • Proteolytic processing generates protein fragments that offer insights into oncogenesis.

Purpose of the Study:

  • To explore the role of proteolytic events in cancer hallmarks like migration, proliferation, angiogenesis, and metastasis.
  • To discuss biomarker discovery through proteomics for identifying proteolytic signaling events.
  • To understand the implications of protein fragment analysis for cancer diagnosis, prognosis, and targeted therapies.

Main Methods:

  • Proteomics mapping of protein fragments.
  • Analysis of proteolytic processing events during oncogenesis.
  • Integration of omics data for deconvolution of proteolytic signaling.

Main Results:

  • Proteolytic processing provides insights into active protease roles and functional implications of processed substrates.
  • These findings can potentially predict diagnosis and prognosis in cancer patients.
  • Understanding proteolytic events contributes to advancements in tumor biology and precision medicine.

Conclusions:

  • Proteolytic processing is a critical irreversible protein modification in cancer.
  • Studying proteolytic signaling events using proteomics can lead to novel diagnostic and therapeutic strategies.
  • This approach supports the development of targeted therapies in precision medicine.
Keywords:
Proteasescancerpersonalized medicineproteolytic processingproteomics

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