Literature DB >> 20689769

A Polymorphic Variant of AFAP-110 Enhances cSrc Activity.

David A Clump1, Jing Jie Yu, Youngjin Cho, Rui Gao, John Jett, Henry Zot, Jess M Cunnick, Brandi Snyder, Anne C Clump, Melissa Dodrill, Peter Gannett, James E Coad, Robert Shurina, W Douglas Figg, Eddie Reed, Daniel C Flynn.   

Abstract

Enhanced expression and activity of cSrc are associated with ovarian cancer progression. Generally, cSrc does not contain activating mutations; rather, its activity is increased in response to signals that affect a conformational change that releases its autoinhibition. In this report, we analyzed ovarian cancer tissues for the expression of a cSrc-activating protein, AFAP-110. AFAP-110 activates cSrc through a direct interaction that releases it from its autoinhibited conformation. Immunohistochemical analysis revealed a concomitant increase of AFAP-110 and cSrc in ovarian cancer tissues. An analysis of the AFAP-110 coding sequence revealed the presence of a nonsynonymous, single-nucleotide polymorphism that resulted in a change of Ser403 to Cys403. In cells that express enhanced levels of cSrc, AFAP-110(403C) directed the activation of cSrc and the formation of podosomes independently of input signals, in contrast to wild-type AFAP-110. We therefore propose that, under conditions of cSrc overexpression, the polymorphic variant of AFAP-110 promotes cSrc activation. Further, these data indicate amechanismby which an inherited genetic variation could influence ovarian cancer progression and could be used to predict the response to targeted therapy.

Entities:  

Year:  2010        PMID: 20689769      PMCID: PMC2915419          DOI: 10.1593/tlo.10106

Source DB:  PubMed          Journal:  Transl Oncol        ISSN: 1936-5233            Impact factor:   4.243


  35 in total

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7.  SRC tyrosine kinase and multidrug resistance protein-1 inhibitions act independently but cooperatively to restore paclitaxel sensitivity to paclitaxel-resistant ovarian cancer cells.

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Journal:  Gynecol Oncol       Date:  2003-01       Impact factor: 5.482

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  2 in total

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Authors:  J M Cunnick; S Kim; J Hadsell; S Collins; C Cerra; P Reiser; D C Flynn; Y Cho
Journal:  Oncogene       Date:  2014-07-21       Impact factor: 9.867

2.  Long noncoding RNA AFAP1-AS1, a potential novel biomarker to predict the clinical outcome of cancer patients: a meta-analysis.

Authors:  Fang-Teng Liu; Qi-Zhen Xue; Pei-Qian Zhu; Hong-Liang Luo; Yi Zhang; Tengfei Hao
Journal:  Onco Targets Ther       Date:  2016-07-12       Impact factor: 4.147

  2 in total

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