Abstract
Introduction:
Cancer is a complex disorder whose detection and monitoring remains challenging. A biological
modeling system, the biology of functions (BoF), claims to be able to evaluate physiologic elements
related to carcinogenic activity. A pilot study was undertaken to evaluate the accuracy of the BoF
in detecting differences between cancer cases and matched controls.
Materials and Methods:
A retrospective case control study was performed using the BoF analyses of 46 patients with all
types of solid and hematgenous cancers, active and inactive (total cases), and 46 controls from a
private practice. The standard BoF panel of 17 biomarkers was evaluated. Sixty-two of 150 BoF
indices derived from these biomarkers were pre-selected for analysis based on their relationship to
cancer physiology. The data was analyzed with the Wilcoxon Signed Ranks Test using SPSS
software.
Results:
Of the 62 indices, 7 were found to be statistically significant in comparing total cancer cases
to controls: βMSH/αMSH, Estrogen Fraction #5, Comparative Genital Androgeny, Thyroid,
Genito-thyroid, Catabolism/Anabolism and Pro-inflammatory.
Conclusions:
In a small retrospective case control study, statistically significant differences were found
between cancer cases and controls in 7 BoF indices. These indices are indicators of physiological
conditions consistent with cancer growth. These results warrant further study of this biological
modeling system in cancer patients.
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