Evidence map›Paper›PMID 22432082›Full record

ArticleAmerican journal of blood research2012

Vav1 in hematologic neoplasms, a mini review.

Matthew J Oberley, Deng-Shun Wang, David T Yang

Open access · greenAbstract read
In one paragraph

Article in American journal of blood research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Activating mutations and translocations in the guanine exchange factor VAV1 in peripheral T-cell lymphomas.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  8. Review
  9. Article
  10. The adaptor protein Crk in immune response.Immunology and cell biology · 2014
    Review
  11. Pak and Rac GTPases promote oncogenic KIT-induced neoplasms.The Journal of clinical investigation · 2013
    Article
  12. Article
  13. 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

3 authors at 1 institution in 1 country.

Matthew J OberleyDepartment of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health Madison, WI, USA.
Deng-Shun Wang
David T Yang
University of Wisconsin–Madison · US

Funding

Biological and clinical significance of tTG and isopeptide in ADR21AG029972 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI WANG, DENGSHUN · 2008 to 2009
$347k
NIA NIH HHS R21 AG029972
6 · The paper itself

Abstract

The Vav family of proteins are guanine nucleotide exchange factors which have been shown to be deregulated in several types of human cancer. There are three members of the Vav family that have been identified which are members of the Dbl domain superfamily and have specificity towards Rho/Rac GTPases. The Vav family plays an important role in normal hematologic system development and homeostasis, and Vav1 is largely restricted to the hematologic system. While Vav1 was originally identified as a proto-oncogene, several recent studies have shown that Vav family deletion leads to the development of T-cell malignancies in mice. In addition, Vav1 has been shown to play a role in the ATRA-mediated differentiation of promyelocytic leukemia cells. In this concise review, the gene structure and normal function of Vav1, as well as a possible role for Vav1 in the development of hematologic and other malignancies is reviewed.

Indexed as

guanine nucleotide exchange factorleukemialymphomaVav1

Identifiers

PMID22432082
PMCPMC3301436
OpenAlexW1536281442

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.