Abstract
The Michaelis-Menten constants (Km and Vmax) operated by linear programming, were employed for detection of breast cancer. The rate of enzymatic hydrolysis of fluorescein diacetate (FDA) in living peripheral blood mononuclear cells (PBMC), derived from healthy subjects and breast cancer (BC) patients, was assessed by measuring the fluorescence intensity (FI) in individual cells under incubation with either the mitogen phytohemagglutinin (PHA) or with tumor tissue, as compared to control. The suggested model diagnoses three conditions: (1) the subject is diseased, (2) the diagnosis is uncertain, and (3) the subject is not diseased. Out of 50 subjects tested, 44 were diagnosed correctly, in 5 cases the diagnosis was not certain, and 1 subject was diagnosed incorrectly.
Original language | English |
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Pages (from-to) | 210-213 |
Number of pages | 4 |
Journal | Computer Methods and Programs in Biomedicine |
Volume | 85 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2007 |
Bibliographical note
Funding Information:This research was supported by the Komen Foundation and by the Horowitz Foundation.
Funding
This research was supported by the Komen Foundation and by the Horowitz Foundation.
Funders | Funder number |
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Komen Foundation | |
Horowitz Foundation for Social Policy |
Keywords
- Breast cancer (BC)
- Linear programming
- Michaelis-Menten constants (K and V)
- Peripheral blood mononuclear cells (PBMC)