The Expression And Clinical Value Of Type I Interferon Receptor Gene And Lipase Type F Gene In Human Gastric Cancer

Background:Gastric cancer is one of the most common and serious malignancies,a 5-year survival of which is less than 30%.Identification of early stage disease may be the most promising method to reduce gastric cancer mortality.Therefore,searching for mutant genes contributes to not only understand the molecular mechanisms behind the transformation of normal cells during carcinogenesis,but detect gastric cancer at an early stage.Later,some studies have found the expression of typeⅠinterferon receptor has changed in many malignancies,including chronic myeloid leukemia, adult T cell leukemia and some gastrointestinal carcinomas.But similar studies in gastric diseases have seldom been performed.Objective:To detect the difference of typeⅠinterferon receptor between gastric adenocarcinoma and matched normal mucosa tissues.To find a biomarker for diagnosis of gastric cancer at an early stage.Methods:Thirty-three cancer and matched normal mucosa tissue samples were obtained from fresh surgical materials of patients with gastric cancer within 30 min after resection,and were then immediately stored at -80℃until use.The expressions of IFNAR1 gene in cancer and matched normal mucosa tissue samples were detected using 18s protein RNA sequence as controls by real time reverse-transcription polymerase chain reaction.Results:The expression of IFNAR1 gene in cancerous sample is stronger than that in normal mucosa tissue sample(-11.56±1.10 VS -12.55±1.41,P＜0.001),78.8%patients with gastric cancer display over-expression of IFNAR1 gene in cancer tissue.This over-expression is not associated with the patient's sex,age,tumor size,pathological histological type,differentiation grade or lymph node metastasis(P＞0.05).Conclusions:This over-expression IFNAR1 may have a functional defect,which results in suppression of IFN signaling pathway,and loses the ability of response to IFN stimulation.The abnormality might be related to early stage carcinogenesis,so we can identify it as a biomarker for early diagnosis. Background:Gastric cancer is one of the most common and serious malignancies, with more than 870,000 new cases emerging every year worldwide and the second highest ranking death rate of all cancers.Like other cancers,the development of gastric cancer involves multiple genetic changes and effects from the environment. Therefore,searching for mutant genes contributes to not only understand the molecular mechanisms behind the transformation of normal cells during carcinogenesis,but detect gastric cancer at an early stage.The proteomics analysis demonstrates that there are abnormal expressions of many proteins in gastric cancer tissues,with a trend of decreased physiological protein expression and increased inflammatory protein expression.Objective:To investigate the reason of decreased expression of LIPF through detecting LIPF gene in gastric adenocarcinoma and matched normal mucosa tissue.to find a biomarker for diagnosis of gastric cancer at an early stage.Methods:Thirty-three cancerous and matched normal mucosa tissue samples were obtained from fresh surgical materials of patients with gastric cancer within 30 min after resection,and were then immediately stored at -80℃until use.The expressions of LIPF gene in cancerous and matched normal mucosa tissue samples were detected using 18s protein RNA sequence as controls by real time reverse-transcription polymerase chain reaction.Results:The expression of LIPF gene in cancerous sample is lower than that in normal mucosa tissue sample(-8.43±4.86 VS -2.87±3.12,P＜0.001),87.9%patients with gastric cancer display decreased expression of LIPF gene in cancerous tissue. This decreased expression is not associated with the patient's sex,age,tumor size, pathological histological type,differentiation grade or lymph node metastasis (P＞0.05).Conclusions:The decreased expression of LIPF gene in gastric cancer tissue results in LIPF hyposecretion,this situation may occur in the predisposing conditions and at early stage.We can identify it as a biomarker for early diagnosis.