Lu Qi1, Yanqing Ding1,2. 1. Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China. 2. Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Abstract
BACKGROUND/AIMS: Owing to the lack of effective molecular markers to evaluate colon cancer differentiation grade, screening of effective molecular markers for the diagnosis and treatment of colon cancer is of great significance. This study is a screening study for molecular markers related to the differentiation of colon using the tissue-specific genes of colon. METHODS: This study compared the expression profiles of colon cancer at various differentiation grades and screened the down-regulated genes associated with decreased differentiation. IL22RA1 gene was derived from the intersection of obtained gene and colon tissue-specific genes. We used DriverDB and The Human Protein Atlas to analyze the expression level of IL22RA1 in various tissue cells, also used Kaplan-Meier method to analyze the correlation between IL22RA1 and the survival of colon cancer patients, and then used the ROC curve to analyze the specificity and sensitivity of IL22RA1 diagnosis of differentiated colon cancer. RESULTS: We found that IL22RA1 gene expression was progressively down-regulated in high-differentiated, moderate-differentiated, low-differentiated, and undifferentiated colon cancer tissues. Both RNA and protein levels of IL22RA1 were higher in colon tissues and colon cancer tissues than in other normal and cancer tissues. Comparison of IL22RA1 expression in different cancer cells found that IL22RA1 expression was significantly higher in CACO-2 colon cancer cells than in other cancer cells. Survival analysis showed that IL22RA1 gene expression was positively correlated with the overall survival rate of colon cancer patients (P=0.0224). ROC curve analysis revealed that IL22RA1 expression had good specificity and sensitivity to stage II colon cancer. CONCLUSION: These findings suggest that IL22RA1 serves as a specific molecular marker for the differentiation of colon cancer.
BACKGROUND/AIMS: Owing to the lack of effective molecular markers to evaluate colon cancer differentiation grade, screening of effective molecular markers for the diagnosis and treatment of colon cancer is of great significance. This study is a screening study for molecular markers related to the differentiation of colon using the tissue-specific genes of colon. METHODS: This study compared the expression profiles of colon cancer at various differentiation grades and screened the down-regulated genes associated with decreased differentiation. IL22RA1 gene was derived from the intersection of obtained gene and colon tissue-specific genes. We used DriverDB and The Human Protein Atlas to analyze the expression level of IL22RA1 in various tissue cells, also used Kaplan-Meier method to analyze the correlation between IL22RA1 and the survival of colon cancerpatients, and then used the ROC curve to analyze the specificity and sensitivity of IL22RA1 diagnosis of differentiated colon cancer. RESULTS: We found that IL22RA1 gene expression was progressively down-regulated in high-differentiated, moderate-differentiated, low-differentiated, and undifferentiated colon cancer tissues. Both RNA and protein levels of IL22RA1 were higher in colon tissues and colon cancer tissues than in other normal and cancer tissues. Comparison of IL22RA1 expression in different cancer cells found that IL22RA1 expression was significantly higher in CACO-2 colon cancer cells than in other cancer cells. Survival analysis showed that IL22RA1 gene expression was positively correlated with the overall survival rate of colon cancerpatients (P=0.0224). ROC curve analysis revealed that IL22RA1 expression had good specificity and sensitivity to stage II colon cancer. CONCLUSION: These findings suggest that IL22RA1 serves as a specific molecular marker for the differentiation of colon cancer.
Authors: Jin Hua He; Ze Ping Han; Jin Gen Luo; Jian Wei Jiang; Jia Bin Zhou; Wei Ming Chen; Yu Bing Lv; Meng Ling He; Lei Zheng; Yu Guang Li; Ji Dong Zuo Journal: Front Genet Date: 2020-02-25 Impact factor: 4.599
Authors: Vincent M Perez; Jeffrey Gabell; Mark Behrens; Nishikant Wase; Concetta C DiRusso; Paul N Black Journal: J Biol Chem Date: 2020-03-18 Impact factor: 5.157