Breast cancer detection by Michaelis-Menten constants via linear programming.
The Michaelis-Menten constants (K(m) and V(max)) 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.
Blokh
David
D
The Biophysical Interdisciplinary Jerome Schottenstein Center for the Research and the Technology of the Cellome, Department of Physics, Bar-Ilan University, Ramat Gan 52900, Israel.
Afrimzon
Elena
E
Stambler
Ilia
I
Korech
Eden
E
Shafran
Yana
Y
Zurgil
Naomi
N
Deutsch
Mordechai
M
D001943:Breast Neoplasms / Q000175:diagnosis*; D019937:Diagnostic Techniques and Procedures / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007557:Israel; D011382:Programming, Linear / Q000706:statistics & numerical data*