Literature DB >> 28510328

Genetic variants in the genes encoding rho GTPases and related regulators predict cutaneous melanoma-specific survival.

Shun Liu1,2,3, Yanru Wang2,3, William Xue2,3, Hongliang Liu2,3, Yinghui Xu2,3,4, Qiong Shi2,3,5, Wenting Wu6, Dakai Zhu7, Christopher I Amos7, Shenying Fang8, Jeffrey E Lee8, Terry Hyslop2,9, Yi Li10, Jiali Han6,11, Qingyi Wei1,2.   

Abstract

Rho GTPases control cell division, motility, adhesion, vesicular trafficking and phagocytosis, which may affect progression and/or prognosis of cancers. Here, we investigated associations between genetic variants of Rho GTPases-related genes and cutaneous melanoma-specific survival (CMSS) by re-analyzing a published melanoma genome-wide association study (GWAS) and validating the results in another melanoma GWAS. In the single-locus analysis of 36,018 SNPs in 129 Rho-related genes, 427 SNPs were significantly associated with CMSS (p < 0.050 and false-positive report probability <0.2) in the discovery dataset, and five SNPs were replicated in the validation dataset. Among these, four SNPs (i.e., RHOU rs10916352 G > C, ARHGAP22 rs3851552 T > C, ARHGAP44 rs72635537 C > T and ARHGEF10 rs7826362 A > T) were independently predictive of CMSS (a meta-analysis derived p = 9.04 × 10-4 , 9.58 × 10-4 , 1.21 × 10-4 and 8.47 × 10-4 , respectively). Additionally, patients with an increasing number of unfavorable genotypes (NUGs) of these loci had markedly reduced CMSS in both discovery dataset and validation dataset (ptrend =1.47 × 10-7 and 3.12 × 10-5 ). The model including the NUGs and clinical variables demonstrated a significant improvement in predicting the five-year CMSS. Moreover, rs10916352C and rs3851552C alleles were significantly associated with an increased mRNA expression levels of RHOU (p = 1.8 × 10-6 ) and ARHGAP22 (p = 5.0 × 10-6 ), respectively. These results may provide promising prognostic biomarkers for CM personalized management and treatment.
© 2017 UICC.

Entities:  

Keywords:  GTPase-activating protein; Rho GTPase; cutaneous melanoma-specific survival; genome-wide association study

Mesh:

Substances:

Year:  2017        PMID: 28510328      PMCID: PMC5512872          DOI: 10.1002/ijc.30785

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


  35 in total

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4.  Cancer Statistics, 2017.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-05-07       Impact factor: 4.254

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

Authors:  Christopher I Amos; Li-E Wang; Jeffrey E Lee; Jeffrey E Gershenwald; Wei V Chen; Shenying Fang; Roman Kosoy; Mingfeng Zhang; Abrar A Qureshi; Selina Vattathil; Christopher W Schacherer; Julie M Gardner; Yuling Wang; D Tim Bishop; Jennifer H Barrett; Stuart MacGregor; Nicholas K Hayward; Nicholas G Martin; David L Duffy; Graham J Mann; Anne Cust; John Hopper; Kevin M Brown; Elizabeth A Grimm; Yaji Xu; Younghun Han; Kaiyan Jing; Caitlin McHugh; Cathy C Laurie; Kim F Doheny; Elizabeth W Pugh; Michael F Seldin; Jiali Han; Qingyi Wei
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Journal:  Carcinogenesis       Date:  2014-06-30       Impact factor: 4.944

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Authors:  Lucas D Ward; Manolis Kellis
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10.  Transcriptome and genome sequencing uncovers functional variation in humans.

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