Pegah Parvaee1, Hossein Sarmadian2, Behzad Khansarinejad3,4, Mahmood Amini5, Mahdieh Mondanizadeh1,4. 1. Department of Biotechnology and Molecular Medicine, Arak University of Medical Sciences, Arak, Iran. Email: m.mondanizadeh@arakmu.ac.ir 2. Infectious Diseases Research Center, Arak University of Medical Sciences, Arak, Iran. 3. Department of Microbiology and Immunology, Arak University of Medical Sciences, Arak, Iran. 4. Molecular and Medicine Research Center, Arak University of Medical Sciences, Arak, Iran. 5. Department of Surgery, Arak University of Medical Sciences, Arak, Iran.
Abstract
Background: Timely and sensitive diagnosis of gastric cancer is crucial for efficient treatment and survival of the patients. microRNAs have been considered as diagnostic biomarkers in different type of cancers including gastric cancer. In the present study, the expression profile of four microRNAs, miR-103, miR-107, miR-194 and miR-210 were evaluated in patients with intestinal-type of gastric cancer (IGC) in order to assess their diagnosis utility as noninvasive biomarkers. Methods: A total number of 100 plasma samples from patients with gastric cancer and healthy controls were obtained and total RNA was extracted using a commercial monophasic solution of phenol and guanidium thiocyanate. Reverse transcription (RT) reactions were performed by specific stem-loop RT primers and M-MuLV RT-enzyme. The expression patterns of microRNAs were assessed using reverse transcription quantitative real-time PCR (RT-qPCR) method and the expression of SNORD47 RNA was used as the reference for normalization. Results: The results indicate that the plasma levels of miR-107, miR-194, and miR-210 were significantly lower in patients. Receiver operating characteristic (ROC) curve analysis showed that the patients could be distinguished from healthy individuals at the cutoff levels of 0.504, 0.266, and 0.394 of miR-107, miR-194, and miR-210, respectively. On the other hand, the expression levels of these miRNAs were not significantly different in different clinicopathological stages of the disease. Conclusion: These findings suggest that the plasma levels of miR-107, miR-194 and miR-210 were downregulated in patients with ICG and propose these molecules as potential non-invasive biomarkers for detection of IGC. Creative Commons Attribution License
Background: Timely and sensitive diagnosis of gastric cancer is crucial for efficient treatment and survival of the patients. microRNAs have been considered as diagnostic biomarkers in different type of cancers including gastric cancer. In the present study, the expression profile of four microRNAs, miR-103, miR-107, miR-194 and miR-210 were evaluated in patients with intestinal-type of gastric cancer (IGC) in order to assess their diagnosis utility as noninvasive biomarkers. Methods: A total number of 100 plasma samples from patients with gastric cancer and healthy controls were obtained and total RNA was extracted using a commercial monophasic solution of phenol and guanidium thiocyanate. Reverse transcription (RT) reactions were performed by specific stem-loop RT primers and M-MuLV RT-enzyme. The expression patterns of microRNAs were assessed using reverse transcription quantitative real-time PCR (RT-qPCR) method and the expression of SNORD47 RNA was used as the reference for normalization. Results: The results indicate that the plasma levels of miR-107, miR-194, and miR-210 were significantly lower in patients. Receiver operating characteristic (ROC) curve analysis showed that the patients could be distinguished from healthy individuals at the cutoff levels of 0.504, 0.266, and 0.394 of miR-107, miR-194, and miR-210, respectively. On the other hand, the expression levels of these miRNAs were not significantly different in different clinicopathological stages of the disease. Conclusion: These findings suggest that the plasma levels of miR-107, miR-194 and miR-210 were downregulated in patients with ICG and propose these molecules as potential non-invasive biomarkers for detection of IGC. Creative Commons Attribution License
Authors: Edyta Marta Borkowska; Tomasz Konecki; Michał Pietrusiński; Maciej Borowiec; Zbigniew Jabłonowski Journal: Cancers (Basel) Date: 2019-10-14 Impact factor: 6.639
Authors: Jiexin Yan; Lu Dai; Jun Yuan; Min Pang; Yueqiu Wang; Lang Lin; Yawei Shi; Fuli Wu; Rongping Nie; Qiuling Chen; Lei Wang Journal: Front Genet Date: 2022-04-11 Impact factor: 4.772