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A Novel Use of Biomarkers in the Modeling of Cancer - Activity Based on the Theory of Endobiogeny

par Laura J. Buehning, MD, MPH ; Kamyar M. Hedayat, MD ; Aarti Sachdeva ; Shahrokh Golshan, PhD ; Jean Claude Lapraz, MD. Juillet 2014

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.
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.

Article publié dans GLOBAL ADVANCES IN HEALTH AND MEDICINE
Volume 4, Numéro 3 • Juillet 2014

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 as undertaken to evaluate the accuracy of the BoF in detecting differences between cancer cases and matched controls.

Materials and Method

A retrospective case control study was performed using the BoF analyses of 46 patients with active or inactive cancer (total cases) and 46 controls from a single 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
  • 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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