Inter-relationship between homeostasis model assessment of insulin resistance & breast cancer biomarkers

Abstract

Author(s): Jinseog Kim, Mahashweta Das, Ishita Saha, Prasenjit Sinha, Poonam Singh and Rabindra Nath Das*

The relationship between homeostasis model assessment of insulin resistance (HOMA-IR) and breast cancer (BC) biomarkers such as leptin, monocyte chemoattractant protein-1 (MCP-1), resistin, adiponectin is little known in the medical literature based on probabilistic modeling. The current report focuses on the inter-relationships between HOMA-IR and BC markers. It has been derived from the gamma fitted mean HOMA-IR model that it is higher for healthy women (P<0.0001) than BC patients. It is positively associated with leptin (P=0.0747), while it is negatively associated with the interaction effect of insulin and leptin (insulin*leptin) (P=0.0016). Variance of HOMA-IR is negatively associated with adiponectin (P=0.0471), while it is positively associated with resistin (P=0.0755) and the interaction effect of glucose and adiponectin (glucose*adiponectin) (P=0.0305). From the log-normal HOMA-IR fitted model, it is shown that variance of HOMA-IR is negatively associated with leptin (P=0.0599). From MCP-1 fitted model, it has been shown that variance of MCP-1 is negatively associated with HOMA-IR (P=0.0055), while resistin fitted model has shown that mean resistin is negatively associated HOMA-IR (P=0.0698) and it is positively associated with the interaction effect of age and HOMA-IR (age*HOMA-IR) (P=0.1059). Several relationships between HOMA-IR & BC markers are reported in the current article. It is interpreted that both HOMA-IR & BC markers are closely interlinked.

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Awards Nomination

Editors List

  • Prof. Elhadi Miskeen

    Obstetrics and Gynaecology Faculty of Medicine, University of Bisha, Saudi Arabia

  • Ahmed Hussien Alshewered

    University of Basrah College of Medicine, Iraq

  • Sudhakar Tummala

    Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh

     

     

     

  • Alphonse Laya

    Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis

     

  • Fava Maria Giovanna

     

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