Quantitative label-free mass spectrometry using contralateral and adjacent breast tissues reveal differentially

Talita Helen Bombardelli Gomig1, Iglenir João Cavalli1, Ricardo Lehtonen Rodrigues de Souza1

  • 1Genetics Department, Federal University of Parana, Curitiba, Brazil.

Journal of Proteomics
|February 18, 2019
PubMed

Insights

This study identified 462 differentially expressed proteins in breast cancer tissues, revealing distinct proteomic profiles in tumors versus non-tumor tissues. These findings offer insights into cancer progression and potential biomarkers for invasive ductal carcinoma.

Area of Science:

  • Proteomics
  • Cancer Biology
  • Molecular Oncology

Background:

  • Altered protein expression is critical in cancer development and progression.
  • Understanding proteomic differences in tumor and non-tumor tissues is key to identifying cancer hallmarks.

Purpose of the Study:

  • To investigate differentially expressed proteins in primary breast tumors (PT), metastatic lymph nodes (LN), and adjacent non-tumor tissues (NCT, ANT).
  • To identify protein pathways and functions associated with breast cancer tumorigenesis and metastasis.

Main Methods:

  • Mass spectrometry-based label-free quantification.
  • Functional annotation and pathway analysis of differentially expressed proteins (DEPs).

Main Results:

  • 462 DEPs identified across analyzed tissue groups.
  • Non-tumor tissues (NCT, ANT) showed similar proteomic profiles.
  • Malignant tissues (PT, LN) exhibited DEPs related to RNA metabolism, LXR/RXR, NO, eIF2, sirtuins, fatty acid metabolism, oxidative stress, and metastatic capabilities.

Conclusions:

  • Differential proteomic profiles distinguish breast tumors from non-tumor tissues.
  • Identified proteins and pathways are relevant to cancer progression and metastasis.
  • Proteins involved in RNA metabolism, signaling, and metabolism are potential breast cancer biomarkers.

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