Literature DB >> 27440794

Prognostic impact of total and tyrosine phosphorylated GIV/Girdin in breast cancers.

Ying Dunkel1,2, Kexin Diao3, Nicolas Aznar1,2, Lee Swanson1,2, Lawrence Liu1,2, Wenhong Zhu4, Xiao-Yi Mi5, Pradipta Ghosh6,2.   

Abstract

Gα-interacting vesicle-associated protein (GIV, aka Girdin) is a guanine exchange factor (GEF) for the trimeric G protein Gαi and a bona fide metastasis-related gene that serves as a platform for amplification of tyrosine-based signals via G-protein intermediates. Here we present the first exploratory biomarker study conducted on a cohort of 187 patients with breast cancer to evaluate the prognostic role of total GIV (tGIV) and tyrosine phosphorylated GIV (pYGIV) across the various molecular subtypes. A Kaplan-Meier analysis of recurrence-free survival showed that the presence of tGIV, either cytoplasmic or nuclear, carried poor prognosis, but that nuclear tGIV had a greater prognostic impact (P = 0.007 in early and P = 0.0048 in late clinical stages). Activated pYGIV in the cytoplasm had the greatest prognostic impact in late clinical stages (P = 0.006). Furthermore, we found that the prognostic impacts of cytoplasmic pYGIV and nuclear tGIV were additive (hazard ratio 19.0548; P = 0.0002). Surprisingly, this additive effect of nuclear tGIV/cytoplasmic pYGIV was observed in human epidermal growth factor receptor 2-positive tumors (hazard ratio 16.918; P = 0.0005) but not in triple-negative breast cancers. In triple-negative breast cancers, tGIV and cytoplasmic pYGIV had no prognostic impact; however, membrane-association of pYGIV carried a poor prognosis (P = 0.026). Both tGIV and pYGIV showed no correlation with clinical stage, tumor size, pathologic type, lymph node involvement, and BRCA1/2 status. We conclude that immunocytochemical detection of pYGIV and tGIV can serve as an effective prognosticator. On the basis of the differential prognostic impact of tGIV/pYGIV within each molecular subtype, we propose a diagnostic algorithm. Further studies on larger cohorts are essential to rigorously assess the effectiveness and robustness of this algorithm in prognosticating outcome among patients with breast cancer.-Dunkel, Y., Diao, K., Aznar, N., Swanson, L., Liu, L., Zhu, W., Mi, X.-Y., Ghosh, P. Prognostic impact of total and tyrosine phosphorylated GIV/Girdin in breast cancers. © FASEB.

Entities:  

Keywords:  HER-2/neu; guanidine exchange factor; prognostication biomarker; survival analysis; triple negative

Mesh:

Substances:

Year:  2016        PMID: 27440794      PMCID: PMC5067257          DOI: 10.1096/fj.201600500

Source DB:  PubMed          Journal:  FASEB J        ISSN: 0892-6638            Impact factor:   5.191


  40 in total

Review 1.  Side effects of adjuvant treatment of breast cancer.

Authors:  C L Shapiro; A Recht
Journal:  N Engl J Med       Date:  2001-06-28       Impact factor: 91.245

2.  Girdin protein: a new potential distant metastasis predictor of breast cancer.

Authors:  Caigang Liu; Yanjun Zhang; Hong Xu; Ruishan Zhang; Hua Li; Ping Lu; Feng Jin
Journal:  Med Oncol       Date:  2011-11-25       Impact factor: 3.064

3.  The impact of Girdin expression on recurrence-free survival in patients with luminal-type breast cancer.

Authors:  Kazumi Nishimae; Nobuyuki Tsunoda; Yukihiro Yokoyama; Toshio Kokuryo; Akari Iwakoshi; Masahide Takahashi; Masato Nagino
Journal:  Breast Cancer       Date:  2013-10-24       Impact factor: 4.239

4.  G protein coupled growth factor receptor tyrosine kinase: no longer an oxymoron.

Authors:  Pradipta Ghosh
Journal:  Cell Cycle       Date:  2015-06-30       Impact factor: 4.534

5.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

6.  GIV/Girdin is a rheostat that fine-tunes growth factor signals during tumor progression.

Authors:  Pradipta Ghosh; Mikel Garcia-Marcos; Marilyn G Farquhar
Journal:  Cell Adh Migr       Date:  2011-05-01       Impact factor: 3.405

Review 7.  Girding for migratory cues: roles of the Akt substrate Girdin in cancer progression and angiogenesis.

Authors:  Liang Weng; Atsushi Enomoto; Maki Ishida-Takagishi; Naoya Asai; Masahide Takahashi
Journal:  Cancer Sci       Date:  2010-02-02       Impact factor: 6.716

8.  Identification and characterization of GIV, a novel Galpha i/s-interacting protein found on COPI, endoplasmic reticulum-Golgi transport vesicles.

Authors:  Helen Le-Niculescu; Ingrid Niesman; Thierry Fischer; Luc DeVries; Marilyn G Farquhar
Journal:  J Biol Chem       Date:  2005-03-04       Impact factor: 5.157

Review 9.  The untapped potential of tyrosine-based G protein signaling.

Authors:  Pradipta Ghosh
Journal:  Pharmacol Res       Date:  2016-01-22       Impact factor: 7.658

10.  Clinical implications of Girdin and PI3K protein expression in breast cancer.

Authors:  Feng Jin; Caigang Liu; Yang Guo; Hao Chen; Yunfei Wu
Journal:  Oncol Lett       Date:  2013-03-12       Impact factor: 2.967

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Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-02       Impact factor: 11.205

2.  GIV/Girdin, a non-receptor modulator for Gαi/s, regulates spatiotemporal signaling during sperm capacitation and is required for male fertility.

Authors:  Sequoyah Reynoso; Vanessa Castillo; Gajanan Dattatray Katkar; Inmaculada Lopez-Sanchez; Sahar Taheri; Celia Espinoza; Cristina Rohena; Debashis Sahoo; Pascal Gagneux; Pradipta Ghosh
Journal:  Elife       Date:  2021-08-19       Impact factor: 8.140

3.  Single-Cell Imaging of Metastatic Potential of Cancer Cells.

Authors:  Krishna Midde; Nina Sun; Cristina Rohena; Linda Joosen; Harsharan Dhillon; Pradipta Ghosh
Journal:  iScience       Date:  2018-11-15

4.  Complex roles of the actin-binding protein Girdin/GIV in DNA damage-induced apoptosis of cancer cells.

Authors:  Chen Chen; Atsushi Enomoto; Liang Weng; Tetsuro Taki; Yukihiro Shiraki; Shinji Mii; Ryosuke Ichihara; Mitsuro Kanda; Masahiko Koike; Yasuhiro Kodera; Masahide Takahashi
Journal:  Cancer Sci       Date:  2020-09-19       Impact factor: 6.716

  4 in total

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