Analysis of the Prognostic Roles of HIF-1α in Gastric Carcinoma Using Data Mining Technology

doi:10. 3969 / j. issn. 2096-2266. 2018. 02. 008

Abstract

Abstract: Objective: To analyze the prognostic roles of HIF-1α expression in gastric carcinoma based on data mining. Methods:
Using Oncomine database to analyze the expression of HIF-1α in gastric carcinoma. Using cBioportal online tool to analyze the gene
mutation of HIF-1α in gastric carcinoma. Using Kaplan-Meier Plotter database to analyze the prognostic roles of HIF-1α in gastric
carcinoma patients. Results: A total of 12 studies were involved HIF-1α in gastric carcinoma tissues and normal tissues, including 798
samples. Overall, using Kaplan Meier-Plotter database to analyze the prognostic roles of HIF- 1α in gastric carcinoma patients, the
results showed that high HIF-1α expression could improve the survival time of the patients with intestinal type gastric, with diffused
gastric carcinoma, or with mixed type gastric carcinoma, respectively（HR＜1.0, P＜0.05）. Conclusion: Through data mining, it is
suggested that HIF- 1α is highly expressed in gastric carcinoma tissue, and the prognosis of patients with gastric carcinoma was
strongly correlated with the HIF-1α expression. HIF-1α is the protective factor for the prognosis of gastric cancer.

Key words: HIF-1α, gastric cancer, data mining, prognosis

Sun Meitao, Zi Jiaji, Chen Ying, Yan Changbao, Dai Liping, Yu Min, Xiong Wei. Analysis of the Prognostic Roles of HIF-1α in Gastric Carcinoma Using Data Mining Technology[J]. Journal of Dali University, DOI: 10. 3969 / j. issn. 2096-2266. 2018. 02. 008.

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