The information-theory analysis of Michaelis-Menten constants for detection of breast cancer

David Blokh, Ilia Stambler, Elena Afrimzon, Yana Shafran, Eden Korech, Judith Sandbank, Ruben Orda, Naomi Zurgil, Mordechai Deutsch

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


Background: The Michaelis-Menten constants (Km and Vmax) operated by the Information Theory were employed for detection of breast cancer. Methods: The rate of enzymatic hydrolysis of fluorescein diacetate (FDA) in live 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 data were processed by the Information Theory to determine the parameters and test conditions, which can best discriminate between the different groups. The normalized mutual information (uncertainty coefficients) was used as the measure of correlation/discrimination. Results: An estimated general correlation was established between the Km/Vmax parameters and the examined patterns in the different bioassays. The information-theoretical analysis revealed the relative diagnostic value of each parameter. Conclusion: It was found that Km and Vmax as individual parameters show relatively low correlations with the presence or absence of disease, yet in combination often provide a good diagnostic measure. Based on the relative diagnostic values of each parameter, a diagnostic decision making rule was constructed. The diagnostic rule provided correct diagnosis for 37 out of 40 subjects.

Original languageEnglish
Pages (from-to)489-498
Number of pages10
JournalCancer Detection and Prevention
Issue number6
StatePublished - 2007

Bibliographical note

Funding Information:
This research was supported by the Komen Foundation, by the Horowitz Foundation and by the US Army Medical Research and Materiel Command Grant DAMD17-01-1-0131.


  • Breast cancer (BC)
  • Fluorescein hydrolysis
  • Fluorescence intensity
  • Formal diagnosis
  • Individual cell assay
  • Information Theory
  • Michaelis-Menten constants (K, V)
  • Mitogenic activation
  • Peripheral blood mononuclear cells (PBMC)
  • Uncertainty coefficient


Dive into the research topics of 'The information-theory analysis of Michaelis-Menten constants for detection of breast cancer'. Together they form a unique fingerprint.

Cite this