Literature DB >> 25628125

Genetic variants in Hippo pathway genes YAP1, TEAD1 and TEAD4 are associated with melanoma-specific survival.

Hua Yuan1,2,3, Hongliang Liu1,2, Zhensheng Liu1,2, Dakai Zhu4, Christopher I Amos4, Shenying Fang5, Jeffrey E Lee5, Qingyi Wei1,2.   

Abstract

Cutaneous melanoma (CM) is the most lethal form of skin cancers. The Hippo pathway controls cell migration, development and sizes of the organs in diverse species, and deregulation of this pathway may affect CM progression and prognosis. Therefore, we hypothesized that genetic variants of Hippo pathway genes might predict survival of CM patients. We used the genotyping data of 1,115 common single nucleotide polymorphisms (SNPs) in the 12 pathway core genes (i.e., MST1, MST2, SAV1, LATS1, LATS2, MOB1A, MOB1B, YAP1, TEAD1, TEAD2, TEAD3 and TEAD4) from the dataset of our previously published CM genome-wide association study and comprehensively analyzed their associations with CM-specific survival (CSS) in 858 CM patients by using the Kaplan-Meier analyses and Cox proportional hazards regression models. We found a predictive role of YAP1 rs11225163 CC, TEAD1 rs7944031 AG+GG and TEAD4 rs1990330 CA+AA in the prognosis of CM. In addition, patients with an increasing number of unfavorable genotypes (NUG) had a markedly increased risk of death. After incorporating NUG in the model with clinical variables, the new model showed a significantly improved discriminatory ability to classify CSS (AUC increased from 82.03% to 84.56%). Our findings suggest that genetic variants of Hippo pathway genes, particularly YAP1 rs11225163, TEAD1 rs7944031 and TEAD4 rs1990330, may independently or jointly modulate survival of CM patients. Additional large, prospective studies are needed to validate these findings.
© 2015 UICC.

Entities:  

Keywords:  Cox regression; Hippo pathway; cancer specific survival; cutaneous melanoma; single nucleotide polymorphisms

Mesh:

Substances:

Year:  2015        PMID: 25628125      PMCID: PMC4437894          DOI: 10.1002/ijc.29429

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  32 in total

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4.  GenABEL: an R library for genome-wide association analysis.

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5.  Genome-wide association study identifies novel loci predisposing to cutaneous melanoma.

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Review 7.  Epidemiology of invasive cutaneous melanoma.

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9.  Mapping cis- and trans-regulatory effects across multiple tissues in twins.

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Journal:  Nat Genet       Date:  2012-09-02       Impact factor: 38.330

10.  Pro-invasive activity of the Hippo pathway effectors YAP and TAZ in cutaneous melanoma.

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Journal:  J Invest Dermatol       Date:  2013-07-29       Impact factor: 8.551

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  27 in total

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Journal:  Int J Cancer       Date:  2018-01-17       Impact factor: 7.396

2.  Genetic variants in the calcium signaling pathway genes are associated with cutaneous melanoma-specific survival.

Authors:  Xiaomeng Wang; Hongliang Liu; Yinghui Xu; Jichun Xie; Dakai Zhu; Christopher I Amos; Shenying Fang; Jeffrey E Lee; Xin Li; Hongmei Nan; Yanqiu Song; Qingyi Wei
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5.  Genetic variants in the genes encoding rho GTPases and related regulators predict cutaneous melanoma-specific survival.

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Journal:  Int J Cancer       Date:  2017-06-01       Impact factor: 7.396

6.  Molecular Pathways: Hippo Signaling, a Critical Tumor Suppressor.

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Journal:  Clin Cancer Res       Date:  2015-09-17       Impact factor: 12.531

7.  Genetic variants in the vitamin D pathway genes VDBP and RXRA modulate cutaneous melanoma disease-specific survival.

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Journal:  Pigment Cell Melanoma Res       Date:  2016-01-29       Impact factor: 4.693

Review 8.  An evolutionary, structural and functional overview of the mammalian TEAD1 and TEAD2 transcription factors.

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9.  Inherited functional variants of the lymphocyte receptor CD5 influence melanoma survival.

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Journal:  Int J Cancer       Date:  2016-05-31       Impact factor: 7.396

10.  Loss of large tumor suppressor 1 promotes growth and metastasis of gastric cancer cells through upregulation of the YAP signaling.

Authors:  Jing Zhang; Ge Wang; Shao-Jun Chu; Jin-Shui Zhu; Rui Zhang; Wen-Wen Lu; Li-Qiong Xia; Yun-Min Lu; Wei Da; Qun Sun
Journal:  Oncotarget       Date:  2016-03-29
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