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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
Systematic identification of molecular links between core and candidate genes in breast cancer
Rodrigo Arroyo1, Guillermo Suñé1, Andreas Zanzoni1
1Joint IRB-BSC-CRG Program in Computational Biology, Institute for Research in Biomedicine (IRB Barcelona), Barcelona 08028, Spain.
Abstract:
Despite the remarkable progress achieved in the identification of specific genes involved in breast cancer (BC), our understanding of their complex functioning is still limited. In this manuscript, we systematically explore the existence of direct physical interactions between the products of BC core and associated genes. Our aim is to generate a protein interaction network of BC-associated gene products and suggest potential molecular mechanisms to unveil their role in the disease. In total, we report 599 novel high-confidence interactions among 44 BC core, 54 BC candidate/associated and 96 newly identified proteins. Our findings indicate that this network-based approach is indeed a robust inference tool to pinpoint new potential players and gain insight into the underlying mechanisms of those proteins with previously unknown roles in BC. To illustrate the power of our approach, we provide initial validation of two BC-associated proteins on the alteration of DNA damage response as a result of specific re-wiring interactions. Overall, our BC-related network may serve as a framework to integrate clinical and molecular data and foster novel global therapeutic strategies.
Insights
Researchers mapped protein interactions for breast cancer (BC) genes, identifying 599 new interactions. This network approach reveals potential new players and mechanisms driving BC, aiding therapeutic strategy development.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Significant progress in identifying breast cancer (BC) genes, yet their complex functions remain unclear.
- Understanding gene product interactions is crucial for elucidating BC mechanisms.
Purpose of the Study:
- To construct a protein interaction network for BC-associated gene products.
- To identify novel proteins and molecular mechanisms involved in breast cancer development.
Main Methods:
- Systematic exploration of direct physical interactions between products of core and associated BC genes.
- Generation of a high-confidence protein-protein interaction network.
Main Results:
- Reported 599 novel high-confidence interactions involving 44 BC core, 54 BC candidate/associated, and 96 newly identified proteins.
- Demonstrated the utility of a network-based approach for identifying potential BC players.
- Provided initial validation of two BC-associated proteins' role in DNA damage response alterations.
Conclusions:
- The developed BC-related network serves as a robust tool for uncovering new insights into BC.
- This network can integrate clinical and molecular data to drive novel therapeutic strategies for breast cancer.
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