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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Mining Public Databases for Precision Oncology
1Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA.
Trends in Cancer
|June 26, 2018
Summary
Public databases hold valuable data, but it remains siloed. Integrating this information is crucial for advancing precision oncology and delivering personalized treatments effectively.
Area of Science:
- Bioinformatics
- Genomics
- Clinical Informatics
Background:
- Significant investment has been made in developing public biological and clinical databases.
- Current data accessibility is hindered by data residing in isolated, non-interoperable systems ('data silos').
Purpose of the Study:
- To highlight the challenge of data fragmentation in public databases.
- To emphasize the necessity of data integration for the advancement of precision oncology.
Main Methods:
- This study is a perspective piece, analyzing the current state of public data repositories.
- It reviews the implications of data silos on clinical applications.
Main Results:
- Public databases, despite substantial funding, are not effectively integrated.
- Data fragmentation poses a significant barrier to realizing the full potential of precision medicine.
Conclusions:
- Effective data sharing and integration strategies are essential for precision oncology.
- Timely access to comprehensive patient and research data at the clinic is critical for optimal treatment decisions.
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