Analyzing the prognostic value of DKK1 expression in human cancers based on bioinformatics | Zendy

Ruqiong Wei | Zendy; Raquel Alarcón | Zendy; Mar Requena | Zendy; Zhi-biao Tan | Zendy; Yuchang Gui | Zendy; Jincui Hu | Zendy; Ting-Pei Zhu | Zendy; Xiaoxiao Huang | Zendy; Yanyan Zhu | Zendy; Jianwen Xu | Zendy

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Analyzing the prognostic value of DKK1 expression in human cancers based on bioinformatics

Author(s) -

Ruqiong Wei,

Raquel Alarcón,

Mar Requena,

Zhi-biao Tan,

Yuchang Gui,

Jincui Hu,

Ting-Pei Zhu,

Xiaoxiao Huang,

Yanyan Zhu,

Jianwen Xu

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-20-3263

Subject(s) - dkk1 , value (mathematics) , bioinformatics , expression (computer science) , computational biology , medicine , biology , computer science , genetics , wnt signaling pathway , gene , machine learning , programming language

Our findings showed that DKK1 is significantly expressed in various cancers and could be a biomarker for targeted therapy and a predictor for prognosis of these specific cancers. The bioinformatics analysis revealed a significant overexpression of DKK1 in HNSC, LUSC, and PAAD, with DKK1 overexpression being associated with adverse outcome in these patients, but how DKK1 expression levels relate to hematological malignancies and prognosis is still unclear. These new insights into the function of DKK1 may provide a basis for new targeted drug therapy and an avenue for further investigation into the mechanisms underlying carcinogenesis of DKK1 in different cancer types.

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