Evidence map›Paper›PMID 24962430›Full record

ArticleOncotarget2014

High nuclear level of Vav1 is a positive prognostic factor in early invasive breast tumors: a role in modulating genes related to the efficiency of metastatic process.

Silvia Grassilli, Federica Brugnoli, Rossano Lattanzio, Cosmo Rossi, Letizia Perracchio, Marcella Mottolese, Marco Marchisio, Maria Palomba, Ervin Nika, Pier Giorgio Natali and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

20 citing papers in PubMed, 31 citations in OpenAlex.

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  18. Total alkaloids ofOncology letters · 2018
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  19. Article
  20. Review
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

13 authors at 2 institutions in 1 country.

Silvia GrassilliSection of Anatomy and Histology, Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy. These authors contributed equally to this work.
Federica BrugnoliSection of Anatomy and Histology, Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy. These authors contributed equally to this work.
Rossano LattanzioDepartment of Experimental and Clinical Sciences, University "G. d'Annunzio" Chieti, Italy. Center of Excellence for Research on Aging, Foundation University "G. d'Annunzio", Chieti, Italy.
Cosmo RossiCenter of Excellence for Research on Aging, Foundation University "G. d'Annunzio", Chieti, Italy. Department of Biomorphology, University "G. D'Annunzio" Chieti, Italy.
Letizia Perracchio''Regina Elena'' Cancer Institute, Rome, Italy.
Marcella Mottolese''Regina Elena'' Cancer Institute, Rome, Italy.
Marco MarchisioCenter of Excellence for Research on Aging, Foundation University "G. d'Annunzio", Chieti, Italy. Department of Biomorphology, University "G. D'Annunzio" Chieti, Italy.
Maria PalombaSection of Anatomy and Histology, Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy.
Ervin NikaSection of Anatomy and Histology, Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy.
Pier Giorgio NataliCINBO Laboratories, University ''G. D'Annunzio'', Chieti, Italy.
Mauro PiantelliDepartment of Experimental and Clinical Sciences, University "G. d'Annunzio" Chieti, Italy. Center of Excellence for Research on Aging, Foundation University "G. d'Annunzio", Chieti, Italy.
Silvano CapitaniSection of Anatomy and Histology, Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy. LTTA Centre, University of Ferrara, Ferrara, Italy.
Valeria BertagnoloSection of Anatomy and Histology, Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy.
University of Ferrara · ITUniversity of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vav1 is one of the signalling proteins normally restricted to hematopoietic cells that results ectopically expressed in solid tumors, including breast cancer. By immunohistochemical analysis on TMAs containing invasive breast tumor from patients without lymph node involvement, we have found that Vav1 is expressed in almost all investigated cancers and shows a peculiar localization inside the nucleus of tumor cells. High amounts of nuclear Vav1 are positively correlated with low incidence of relapse, regardless phenotype and molecular subtype of breast neoplasia. In particular, Kaplan-Meier plots showed an elevated risk of distant metastasis in patients with low Vav1 expression compared with patients with high Vav1 expression in their tumors. Experiments performed with breast tumor-derived cells indicated that Vav1 negatively modulates their invasiveness in vitro and their metastatic efficiency in vivo, possibly by affecting the expression of genes involved in invasion and/or metastasis of breast tumors. Since the high heterogeneity of breast tumors makes difficult to predict the evolution of early breast neoplasias, the evaluation of nuclear Vav1 levels may help in the characterization and management of early breast cancer patients. In particular, Vav1 may serve as a prognostic biomarker and a target for new therapies aimed to prevent breast cancer progression.

Indexed as

AgedAnimalsBreast NeoplasmsCell Line, TumorFemaleGene ExpressionGene Regulatory NetworksHumansMiceMice, Inbred BALB CMice, NudeMiddle AgedNeoplasm InvasivenessNeoplasm MetastasisNeoplasm Recurrence, LocalPrognosisProto-Oncogene Proteins c-vavVAV1 protein, human

Identifiers

PMID24962430
PMCPMC4147326
OpenAlexW1503865920

What OpenQuestion holds

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Registered trials

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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.