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Updated: May 24, 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
Application of microarray in breast cancer: An overview
Rajnish Kumar1, Anju Sharma, Rajesh Kumar Tiwari
1Amity Institute of Biotechnology (AIB), Amity University Uttar Pradesh (AUUP), Lucknow, Uttar Pradesh, India.
Journal of Pharmacy & Bioallied Sciences
|February 28, 2012
Summary
Gene expression profiling using DNA microarrays shows promise for predicting breast cancer outcomes. This technique offers independent prognostic information for newly diagnosed patients, aiding clinical management.
Area of Science:
- Oncology
- Genomics
- Biotechnology
Background:
- Breast cancer affects over 1.15 million individuals globally each year.
- Current clinical management relies on a limited number of prognostic and predictive factors.
- There is a need for advanced methods to improve breast cancer patient management.
Purpose of the Study:
- To provide an overview of microarray technique applications in breast cancer research.
- To highlight the potential of gene expression profiling for breast cancer prognosis.
- To discuss the role of DNA microarrays in identifying new prognostic markers.
Main Methods:
- Utilizing DNA microarray technology to analyze gene expression patterns.
- Reviewing existing research on gene expression profiling in breast cancer.
- Assessing the prognostic value of gene expression data.
Main Results:
- Gene expression profiling can assess thousands of genes simultaneously.
- Preliminary studies suggest microarray data provides independent prognostic information.
- This approach has the potential to enhance patient stratification and treatment decisions.
Conclusions:
- Microarray techniques offer a powerful tool for breast cancer research.
- Gene expression profiling presents a promising avenue for improving breast cancer prognosis.
- Further research is warranted to fully integrate these techniques into clinical practice.

