E. A. Shafik, D. Mohareb, H. Hetta, S. Khallaf, N. M. A. el-Rady, Zainab Gaber, Mohamed Zakaria Abu Rahma, W. Abbas, Haisam Atta
{"title":"脂肪细胞因子、瘦素和抵抗素联合定量内脏脂肪作为结直肠肿瘤的预测因子:一项病例对照研究","authors":"E. A. Shafik, D. Mohareb, H. Hetta, S. Khallaf, N. M. A. el-Rady, Zainab Gaber, Mohamed Zakaria Abu Rahma, W. Abbas, Haisam Atta","doi":"10.21608/jcbr.2020.28094.1029","DOIUrl":null,"url":null,"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.","PeriodicalId":428417,"journal":{"name":"International Journal of Cancer and Biomedical Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Adipocytokine, leptin, and resistin in combination with quantitative visceral adiposity as predictors of colorectal neoplasm: A case-control study\",\"authors\":\"E. A. Shafik, D. Mohareb, H. Hetta, S. Khallaf, N. M. A. el-Rady, Zainab Gaber, Mohamed Zakaria Abu Rahma, W. Abbas, Haisam Atta\",\"doi\":\"10.21608/jcbr.2020.28094.1029\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":428417,\"journal\":{\"name\":\"International Journal of Cancer and Biomedical Research\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Cancer and Biomedical Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21608/jcbr.2020.28094.1029\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Cancer and Biomedical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21608/jcbr.2020.28094.1029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adipocytokine, leptin, and resistin in combination with quantitative visceral adiposity as predictors of colorectal neoplasm: A case-control study
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.