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Updated: Aug 9, 2026

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
Correlation between cytometric features and mitotic frequency in human breast carcinoma
Abstract:
An evaluation of cytometric features of 142 human breast cancers was performed. Twenty-two cytometric features describing density, structure and shape were correlated with mitotic frequency and labeling index of some of the tumors and with the observed recurrence rate of the tumors within 3 years after removal of the breast. A new cytometric measure was also created by combining the four features most strongly correlated with mitotic frequency of the tumors. It was found that the variance of the nuclear area was the feature that was most strongly correlated with mitotic frequency and recurrence rate. No new cytometric measure created by combining the four features most strongly correlated with mitotic frequency, correlated as well as variance of nuclear area even though the four features were optimized by multiple regression analysis for their correlation with mitotic frequency.

