Adiponectin: A Predictor for Breast Cancer Survival?

Eur J Breast Health

Department of Endocrinology and Metabolism, University of Health Sciences, Gülhane Training and Research Hospital, Ankara, Turkey.

Published: January 2019

Objective: Breast cancers in women with low serum adiponectin levels have been reported to show phenotypes that are more aggressive. In 2008, we investigated the relationship between serum adiponectin levels and breast cancer in our case-controlled study involving 83 patients, in which serum adiponectin levels were measured preoperatively. In this study, we aimed to investigate the relationship between serum adiponectin levels and breast cancer-specific survival among these 83 patients.

Materials And Methods: All 83 patients with stage I-III breast cancer, whose adiponectin levels were measured preoperatively in 2008 were enrolled in this study. The patients had no history of medications influencing insulin resistance prior to collecting the blood samples. Serum adiponectin concentrations were measured after overnight fasting (≥12 hours) by drawing a venous blood sample of 30 mL from the arm. ELISA (B-Bridge Human Adiponectin ELISA kit) was used for testing.

Results: The mean adiponectin level was found to be 15,300 ng/mL. When the adiponectin levels of the patients were analyzed according to the stage of the disease, adiponectin levels tended to be significantly lower as the stage increased. The stage of the disease was an important determinant for both Diseas Free Survival (DFS) (p=0.003) and Overall Survival (OS) (p=0.005). A significant relationship between adiponectin levels and OS was also observed (p=0.025), and levels of adiponectin above the mean value of 15,300 ng/mL were associated with improved DFS (p=0.001).

Conclusion: Preoperative adiponectin levels may be useful to predict survival rates in breast cancer or may be used as a marker/predictor for defining patients who require more aggressive treatment. In order for adiponectin to be used as a practical clinical marker for breast cancer, large database studies are should be conducted.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385722PMC
http://dx.doi.org/10.5152/ejbh.2018.4349DOI Listing

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