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Chen J, Lin M, Che Y, Guo J, Lin W. Key genes in youth colorectal cancer based on data mining and verification by reverse transcription-quantitative PCR. Oncol Lett 2021; 21:194. [PMID: 33574933 PMCID: PMC7816307 DOI: 10.3892/ol.2021.12455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 12/07/2020] [Indexed: 12/24/2022] Open
Abstract
In recent years, among all patients with colorectal cancer, the proportion of young patients has been gradually increasing. However, the molecular mechanisms involved in colorectal cancer in the young are largely unknown. In the present study the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas datasets were integrated to elucidate the key gene biomarkers in these patients. The GSE41657 and GSE41258 datasets were downloaded from the GEO database. By screening for differentially expressed genes, Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes pathway analysis, protein-protein interaction analysis, hub gene screening and survival analysis, two key genes, CXCL8 and VEGFA, which were enriched in cancer pathways, were obtained. Reverse transcription-quantitative (RT-q)PCR was performed to verify the outcome obtained by bioinformatics analysis. In conclusion, the present study identified two key genes using bioinformatics analysis and RT-qPCR validation. These results indicated that the candidate genes may be involved in the progression of colorectal cancer in young people, and these two genes may act as ideal prognostic indicators or therapeutic targets for colorectal cancer in the youth.
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Affiliation(s)
- Jianxin Chen
- The First Department of Gastrointestinal Surgery, The Affiliated Hospital of Putian University, Putian, Fujian 351100, P.R. China.,Gastrointestinal Surgery Research Institute, The Affiliated Hospital of Putian University, Putian, Fujian 351100, P.R. China
| | - Min Lin
- College of Information Engineering, Putian University, Putian, Fujian 351100, P.R. China
| | - Yan Che
- College of Information Engineering, Putian University, Putian, Fujian 351100, P.R. China.,Engineering Research Center of Big Data Application in Private Health Medicine, Fujian Province University, Putian, Fujian 351100, P.R. China
| | - Jian Guo
- The First Department of Gastrointestinal Surgery, The Affiliated Hospital of Putian University, Putian, Fujian 351100, P.R. China.,Gastrointestinal Surgery Research Institute, The Affiliated Hospital of Putian University, Putian, Fujian 351100, P.R. China
| | - Wei Lin
- The First Department of Gastrointestinal Surgery, The Affiliated Hospital of Putian University, Putian, Fujian 351100, P.R. China.,Gastrointestinal Surgery Research Institute, The Affiliated Hospital of Putian University, Putian, Fujian 351100, P.R. China
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Toroghi MK, Cluett WR, Mahadevan R. A Personalized Multiscale Modeling Framework for Dose Selection in Precision Medicine. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c01070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Masood Khaksar Toroghi
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada, M5S 3E5
| | - William R. Cluett
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada, M5S 3E5
| | - Radhakrishnan Mahadevan
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada, M5S 3E5
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada, M5S 3E5
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Zhu SK. Role of precision medicine in pancreatic cancer. Shijie Huaren Xiaohua Zazhi 2016; 24:4752-4758. [DOI: 10.11569/wcjd.v24.i36.4752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Pancreatic cancer is one of the most challenging problems in modern oncology. Due to difficultly in early diagnosis and early distant metastasis of pancreatic cancer, surgical resection rate is less than 20% and patients' prognosis is very poor. Despite long-term efforts taken to develop treatments for pancreatic cancer, the survival rate did not significantly improve. Therefore, early diagnosis and treatment are the key to improve the survival rate of patients with pancreatic cancer. The advent of big-data genomic era and the rapid development of biotechnology have led to the recent proposal of a new concept of precise medicine, which has quickly become the focus of world medical conferences. Here, we describe the new progress and challenges of precision medicine in pancreatic cancer, with an aim to provide new ideas for improving the survival rate of patients with pancreatic cancer.
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