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Updated: Jun 16, 2026

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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Integrated gene networks in breast cancer development
Ivana Ratkaj1, Emil Stajduhar, Srdan Vucinic
1Department of Biotechnology, University of Rijeka, Croatia. iratkaj@irb.hr
Functional & Integrative Genomics
|February 5, 2010
Summary
New "omics" research identifies novel breast cancer biomarkers and highlights human growth hormone
Area of Science:
- Oncology
- Genomics
- Proteomics
Background:
- Breast cancer is a complex disease with pathogenesis not fully understood by classical methods.
- Advances in "omics" technologies offer new avenues for research.
Purpose of the Study:
- To review the development of novel biological markers for early breast cancer detection.
- To discuss targeted and specific therapies for breast cancer guided by "omics" data.
Main Methods:
- Integration of cancer research findings with large-scale gene and protein expression analysis.
- Review of recent advancements in "omics" technologies.
Main Results:
- Identification of numerous novel biomarkers for breast cancer.
- Confirmation of human growth hormone's role in breast cancer pathogenesis via autocrine regulation.
- Human growth hormone influences the activation of Pax5 and HOXA1 gene networks.
Conclusions:
- "Omics" approaches are crucial for understanding breast cancer complexity.
- Novel biomarkers and therapeutic targets are emerging from "omics" research.
- Human growth hormone is a key factor in breast cancer development and a potential therapeutic target.
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