Related Experiment Video
Updated: May 21, 2026

07:41
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Grading breast cancer on microarray samples: comparison with Nottingham grade, and use of boosting classification
1South Austin Medical Center, Austin, TX, USA. leslie.dalton@stdavids.com
Histopathology
|June 2, 2012
Summary
Tumor morphology in microarray samples strongly correlates with Nottingham breast cancer grade (NG). This finding supports the reliability of subjective pathologist evaluations in breast cancer grading.
Area of Science:
- Oncology
- Pathology
- Biomedical Engineering
Background:
- Nottingham breast cancer grade (NG) is a subjective assessment of the entire tumor.
- Novel markers are often evaluated on small microarray samples, necessitating comparison with NG.
Purpose of the Study:
- To investigate the correlation between tumor morphology in microarray samples and Nottingham breast cancer grade (NG).
Main Methods:
- Examined over 40 morphological features in 568 breast tumor samples on microarrays.
- Utilized a boosting classification algorithm to assign 'microarray grade' based on binary feature presence/absence.
- Compared the derived 'microarray grade' with the established Nottingham breast cancer grade (NG).
Main Results:
- A significant correlation was found between the 'microarray grade' and the Nottingham breast cancer grade (NG) (P < 0.01).
- Discrepancies between high-grade and low-grade classifications were infrequent (5 out of 568 samples).
Conclusions:
- The strong correlation between 'microarray grade' and NG validates the reproducibility of subjective pathologist evaluations.
- Microarray analysis of tumor morphology can reliably reflect established breast cancer grading systems.
