Document Type : Original Article
Authors
1
Department of Clinical Pathology, South Egypt Cancer Institute, Assiut University, Assiut, Egypt.
2
Department of Clinical Pathology, Faculty of Medicine, Assiut University, Assiut, Egypt.
3
Department of Medical Microbiology and Immunology, Faculty of Medicine, University, Assiut, Egypt
4
Department of Medical Oncology, South Egypt Cancer Institute, Assiut University, Assiut,Egypt.
5
Department of Physiology, Faculty of Medicine, Assiut University, Assiut, Egypt.
6
Department of Tropical medicine, Faculty of Medicine, Assiut University, Assiut, Egypt.
7
Department of Internal medicine, Faculty of Medicine, Assiut University, Assiut, Egypt.
8
Department of Radiology, South Egypt Cancer Institute, Assiut University, Assiut,Egypt.
Abstract
Background: Substantial evidence has supported the association between adipocytokines and many types of cancers. However, the results in the setting of colorectal cancer (CRC) remains conflicting. Aim: This study aimed to evaluate the predictive power of adipocytokines (leptin and Rrsistin) levels and abdominal fat distribution in the diagnosis of colorectal cancer. Methods: Eighty participants were recruited then divided into three groups based on the endoscopic and histopathological investigation. The recruited individuals included 30 patients with colon cancer, 25 with colonic adenoma, and 25 controls. Serum adipocytokines (leptin and resistin) levels were measured, and the quantitative fat analysis was calculated based on an abdominal CT scan. Results: Multivariable logistic regression revealed that two predictors (leptin and resistin) of CRC development could be used. Visceral/superficial fat rate was the most significant predictor among the parameters of quantitative fat analysis. Also, psoas muscle and visceral fat volume showed significant differences among the study groups. Conclusion: Leptin and resistin can be used as a valuable independent predictor for the diagnosis of colorectal cancer. Also, the visceral/superficial fat rate was the most predictor.
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