Associations between Body Mass Index and Breast Cancer Markers

Authors

  • Ishita Saha Department of Physiology, Calcutta Medical College and Hospital, Kolkata, W.B., India
  • Poonam Singh Department of Statistics, University of Delhi, Delhi, India
  • Sunit Kumar Medda Kalyani J.N.M. Hospital, Kalyani, Nadia, West Bengal, India
  • Rabindra Nath Das Department of Statistics, The University of Burdwan, Burdwan, West Bengal, India

DOI:

https://doi.org/10.30564/jor.v2i1.2007

Abstract

Body mass index (BMI) and breast cancer biomarkers (BCBs) such asresistin, leptin adiponectin, monocyte chemoattractant protein-1 (MCP-1)and homeostasis model assessment of insulin resistance (HOMA-IR) arehighly associated with each other. The report has focused the inter-relationship between BMI and BCBs based on probabilistic modeling. It hasbeen shown that mean BMI is directly associated with leptin (P<0.0001)and MCP-1 (P=0.0002), while it is inversely associated with adiponectin(P=0.0003), HOMA-IR (P<0.0001), and it is higher for healthy women(P=0.0116) than breast cancer women. In addition, variance of BMIis inversely associated with resistin (P=0.1450). On the other hand,mean MCP-1 is directly associated with BMI (P<0.0001). Mean resistin is directly associated with the interaction effect of BMI and leptin(BMI*Leptin) (P=0.0415), while its variance is directly associated withBMI (P=0.0942), and it is inversely associated with BMI*Adiponectin(P=0.1518). Leptin is directly associated with BMI (P<0.0001). Alsoadiponectin is inversely associated with BMI (P<0.0001), BMI*Leptin(P=0.1729), while it is directly associated with Age*BMI (P=0.0017)and BMI*Resistin (P=0.0615). It can be concluded that BMI and BCBsare strongly associated with each other. Care should be taken on BMI forbreast cancer women.

Keywords:

Adiponectin; Breast cancer biomarkers; BMI; Leptin; Resistin; Joint mean variance modeling

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How to Cite

Saha, I., Singh, P., Medda, S. K., & Das, R. N. (2020). Associations between Body Mass Index and Breast Cancer Markers. Journal of Oncology Research, 2(1), 1–7. https://doi.org/10.30564/jor.v2i1.2007

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