Using Processing Digital Image Methods for Documenting Tumorogenic Breast Disease Cells

Abstract

We identified and isolated CD44-CD24/low Lineage tumor cells in eight of nine individuals. In mice, tumors might grow from 100 cells with these traits, but not from thousands with other phenotypes. On each serial passage, tumorigenic cells contributed to the tumor’s CD44-CD24/low Lineage tumor-causing cell as well as phenotypically variable no tumor-causing cell groupings. They are called tumorigenic or cancer-initiating cells because they constantly create malignancies, unlike additional cancer cell types. This work proposes a unique approach to identify breast asymmetry as well as tumorigenic cancer cells utilizing extremely efficient digital image processing methods that are not previously used in this research field. Chi-square tests and t-tests were used for categorical as well as continuous data. All p-values under 0.05 proved significant.