Evidence map›Paper›PMID 27440794›Full record

ArticleFASEB journal : official publication of the Federation of American Societies for Experimental Biology2016

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

Ying Dunkel, Kexin Diao, Nicolas Aznar, Lee Swanson, Lawrence Liu, Wenhong Zhu, Xiao-Yi Mi, Pradipta Ghosh

Open access · greenAbstract read
In one paragraph

Article in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Receptor tyrosine kinases activate heterotrimeric G proteins via phosphorylation within the interdomain cleft of Gαi.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Ying DunkelDepartment of Medicine.
Kexin DiaoDepartment of Pathology, China Medical University, Shenyang, China.
Nicolas AznarDepartment of Medicine.
Lee SwansonDepartment of Medicine.
Lawrence LiuDepartment of Medicine.
Wenhong ZhuDivision of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA.
Xiao-Yi MiDepartment of Pathology, China Medical University, Shenyang, China; mixiaoyi2005@163.com.
Pradipta GhoshDepartment of Medicine, prghosh@ucsd.edu.
China Medical University · CNUniversity of California, San Diego · US

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jesse Nodora · 1985 to 2026
$124.9M
Training Grant in GastroenterologyT32DK007202 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GHOSH, PRADIPTA · 1985 to 2022
$7.7M
Spatial Regulation of RGS and G Protein SignalingR01CA100768 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GHOSH, PRADIPTA · 2003 to 2019
$7.4M
Modulation of G proteins by Growth FactorsR01CA160911 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GHOSH, PRADIPTA · 2013 to 2017
$1.8M
NCI NIH HHS P30 CA023100NCI NIH HHS R01 CA100768NCI NIH HHS R01 CA160911NIDDK NIH HHS T32 DK007202
6 · The paper itself

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.

Indexed as

AdultAgedBreast NeoplasmsFemaleGTP-Binding ProteinsGuanine Nucleotide Exchange FactorsHumansMicrofilament ProteinsMiddle AgedPhosphorylationPrognosisSignal TransductionTyrosineVesicular Transport ProteinsYoung AdultCCDC88A protein, humanGTP-Binding ProteinsGuanine Nucleotide Exchange FactorsMicrofilament ProteinsTyrosineVesicular Transport Proteinsguanidine exchange factorHER-2/neuprognostication biomarkersurvival analysistriple negative

Identifiers

PMID27440794
PMCPMC5067257
OpenAlexW2483377935

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.