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Related Experiment Video

Updated: Jul 4, 2026

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
08:08

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors

Published on: February 27, 2015

Breast tumor metastasis: analysis via proteomic profiling.

Steve Goodison1, Virginia Urquidi

  • 1Department of Surgery, University of Florida, 653 West 8th Street, Jacksonville, FL 32209, USA. steve.goodison@jax.ufl.edu

Expert Review of Proteomics
|June 6, 2008
PubMed
Summary

Predicting and eradicating metastatic breast cancer remains challenging. Proteomic signatures offer new hope for identifying biomarkers to improve patient outcomes and develop targeted therapies for cancer dissemination.

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Area of Science:

  • Oncology
  • Proteomics
  • Biomarker Discovery

Background:

  • Accurate prediction of cancer metastasis and recurrence is a significant clinical challenge.
  • Existing molecular biomarkers have not substantially improved upon histopathological criteria for specimen evaluation.
  • High-throughput proteomic profiling technologies present novel opportunities for cancer research.

Purpose of the Study:

  • To review accumulating proteomic signatures associated with breast tumor progression and distant metastases.
  • To explore the potential of proteomic approaches in identifying effective biomarkers.
  • To enhance understanding of tumor biology for developing targeted therapeutics against breast cancer dissemination.

Main Methods:

  • Review of scientific literature focusing on proteomic signatures in breast cancer.

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A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
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A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

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Last Updated: Jul 4, 2026

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
08:08

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors

Published on: February 27, 2015

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
09:52

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

  • Analysis of tissue-based studies and animal models utilizing proteomic profiling.
  • Correlation of proteomic signatures with breast tumor cell phenotype and metastatic occurrence.

    • Main Results:

    • Proteomic profiling facilitates the identification of molecular signatures linked to breast tumor phenotypes.
    • Accumulating proteomic data correlates with the progression of breast tumors towards distant metastases.
    • Proteomic signatures hold potential for developing more accurate biomarkers than current methods.

    Conclusions:

    • Proteomic signatures are crucial for understanding breast tumor progression and metastatic behavior.
    • Advancements in proteomic technologies can lead to the discovery of novel biomarkers.
    • Improved knowledge of tumor biology through proteomics may enable targeted therapies to combat lethal cancer spread.