Expression and prognostic potential of GPX1 in human cancers based on data mining | Zendy

Ruqiong Wei | Zendy; Hongtu Qiu | Zendy; Jianwen Xu | Zendy; Juanmei Mo | Zendy; Ying Liu | Zendy; Yuchang Gui | Zendy; Guangyou Huang | Zendy; ShunRong Zhang | Zendy; Hongfang Yao | Zendy; Xiaoxiao Huang | Zendy; Zhichuan Gan | Zendy

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Expression and prognostic potential of GPX1 in human cancers based on data mining

Author(s) -

Ruqiong Wei,

Hongtu Qiu,

Jianwen Xu,

Juanmei Mo,

Ying Liu,

Yuchang Gui,

Guangyou Huang,

ShunRong Zhang,

Hongfang Yao,

Xiaoxiao Huang,

Zhichuan Gan

Publication year - 2020

Publication title -

annals of translational medicine

Language(s) - English

Resource type - Journals

eISSN - 2305-5847

pISSN - 2305-5839

DOI - 10.21037/atm.2020.02.36

Subject(s) - gpx1 , kegg , gene expression profiling , cancer research , biomarker , biology , cancer , gene expression , computational biology , bioinformatics , gene , genetics , glutathione peroxidase , glutathione , transcriptome , enzyme , biochemistry

Our findings revealed that GPX1 showed significant expression differences among cancers and served as a prognostic biomarker for defined cancer types. The data mining effectively revealed useful information about GPX1 expression, prognostic values, and potential functional networks in cancers, thus providing researchers with an available way to further explore the mechanism underlying carcinogenesis of genes of interest in different cancers.

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