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Related Concept Videos

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
7.2K
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  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. Evaluation Of A Proteomics-guided Protein Signature For Breast Cancer Detection In Breast Tissue

Evaluation of a Proteomics-Guided Protein Signature for Breast Cancer Detection in Breast Tissue

Aldo Moreno-Ulloa1, Vareska L Zárate-Córdova1,2, Israel Ramírez-Sánchez3

  • 1Laboratorio MS2, Departamento de Innovación Biomédica, CICESE, Ensenada 22860, Baja California, México.

Journal of Proteome Research
|October 16, 2024

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Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
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Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology
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Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

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View abstract on PubMed

Summary
This summary is machine-generated.

Researchers identified a four-protein signature (OGN, LUM, DCN, COL14A1) that can distinguish breast cancer from noncancerous tissue with high accuracy. This discovery offers potential for improved breast cancer diagnostics.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Oncology

Background:

  • Distinguishing noncancerous from cancerous breast tissue is clinically challenging.
  • Proteomics-based biomarkers for breast cancer detection are underexplored.

Purpose of the Study:

  • To identify and validate a protein signature for distinguishing breast cancer from noncancerous tissue.
  • To assess the diagnostic potential of the identified protein signature.

Main Methods:

  • Pilot proteomic study using Sequential Window Acquisition of All Theoretical (SWATH)-based mass spectrometry.
  • Analysis of protein-protein interaction networks and pathway enrichment.
  • Validation using six published proteomics/transcriptomics datasets.
  • Multivariate unsupervised analysis to identify protein signatures.
Keywords:
Breast cancerbiomarkersmass spectrometryquantitative proteomics

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Main Results:

  • Identified 370 differentially abundant proteins between noncancerous and cancerous breast tissues.
  • Discovered a four-protein signature (OGN, LUM, DCN, COL14A1) distinguishing breast cancer.
  • Validated the signature across diverse datasets, noting higher dysregulation in aggressive subtypes (Basal-Like, HER2).
  • Achieved high diagnostic accuracy (AUC 0.87–0.9) for distinguishing breast cancer, with enhanced performance (AUC 0.922–0.959) for Basal-Like/Triple-Negative subtypes.

Conclusions:

  • The identified four-protein signature shows significant potential for distinguishing breast cancer from noncancerous tissue.
  • This signature could enhance diagnostic accuracy, particularly for aggressive breast cancer subtypes.
  • Findings provide insights into molecular pathways dysregulated in breast cancer, including extracellular matrix organization and immune response.