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Updated: Sep 2, 2025
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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
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Breast cancer stage prediction: a computational approach guided by transcriptome analysis
1Department of Computer Science and Engineering, NIT Campus PO, National Institute of Technology Calicut, Calicut, Kerala, India. athira_p160049cs@nitc.ac.in.
Molecular Genetics and Genomics : MGG
|August 3, 2022
Summary
This study identifies stage-specific gene biomarkers for breast cancer, developing a 134-gene signature. This approach achieved 92.21% accuracy in predicting cancer stages, paving the way for personalized breast cancer therapeutics.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Breast cancer incidence and mortality rates are rising globally.
- Current therapeutic strategies require refinement through better prognostic predictors.
- Stage-wise classification of breast cancer remains a significant challenge.
Conclusions:
- The identified gene signatures are significant and validated through pathway enrichment, gene network, and literature analysis.
- The proposed 134-gene signature offers a robust method for predicting breast cancer stage.
- This biomarker identification is a crucial step towards predictive medicine and personalized breast cancer treatment.
