Evidence map›Paper›PMID 26431549›Full record

ArticleOncotarget2015

Isolation and characterization of novel RECK tumor suppressor gene splice variants.

Marina Trombetta-Lima, Sheila Maria Brochado Winnischofer, Marcos Angelo Almeida Demasi, Renato Astorino Filho, Ana Claudia Oliveira Carreira, Beiyang Wei, Thais de Assis-Ribas, Michelle Silberspitz Konig, Christian Bowman-Colin, Sueli Mieko Oba-Shinjo and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. 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
0.9field-weighted citation impact, top 25% 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, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. TwoGenes · 2021
    Article
  7. Article
  8. Article
  9. RECK isoforms have opposing effects on cell migration.Molecular biology of the cell · 2018
    Article
  10. Article
  11. Review
  12. Article
  13. 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

13 authors at 5 institutions in 2 countries.

Marina Trombetta-LimaDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, SP, 05508-000, Brazil.
Sheila Maria Brochado WinnischoferDepartamento de Bioquímica e Biologia Molecular, Universidade Federal do Paraná, Curitiba, PR, 81531-990, Brazil.
Marcos Angelo Almeida DemasiDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, SP, 05508-000, Brazil.
Renato Astorino FilhoDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, SP, 05508-000, Brazil.
Ana Claudia Oliveira CarreiraDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, SP, 05508-000, Brazil.
Beiyang WeiRadiation Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892-4605, USA.
Thais de Assis-RibasNUCEL-NETCEM-Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, 05360-120, Brazil.
Michelle Silberspitz KonigNUCEL-NETCEM-Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, 05360-120, Brazil.
Christian Bowman-ColinNUCEL-NETCEM-Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, 05360-120, Brazil.
Sueli Mieko Oba-ShinjoNUCEL-NETCEM-Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, 05360-120, Brazil.
Suely Kazue Nagahashi MarieNUCEL-NETCEM-Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, 05360-120, Brazil.
William Stetler-StevensonRadiation Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892-4605, USA.
Mari Cleide SogayarDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo 05508-000 SP, Brazil.
Universidade de São Paulo · BRDana-Farber Cancer Institute · USNational Cancer Institute · USNational Institutes of Health · USUniversidade Federal do Paraná · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma multiforme is the most common and lethal of the central nervous system glial-derived tumors. RECK suppresses tumor invasion by negatively regulating at least three members of the matrix metalloproteinase family: MMP-9, MMP-2, and MT1-MMP. A positive correlation has been observed between the abundance of RECK expression in tumor samples and a more favorable prognosis for patients with several types of tumors. In the present study, novel alternatively spliced variants of the RECK gene: RECK-B and RECK-I were isolated by RT-PCR and sequenced. The expression levels and profiles of these alternative RECK transcripts, as well as canonical RECK were determined in tissue samples of malignant astrocytomas of different grades and in a normal tissue RNA panel by qRT-PCR. Our results show that higher canonical RECK expression, accompanied by a higher canonical to alternative transcript expression ratio, positively correlates with higher overall survival rate after chemotherapeutic treatment of GBM patients. U87MG and T98G cells over-expressing the RECK-B alternative variant display higher anchorage-independent clonal growth and do not display modulation of, respectively, MMP-2 and MMP-9 expression. Our findings suggest that RECK transcript variants might have opposite roles in GBM biology and the ratio of their expression levels may be informative for the prognostic outcome of GBM patients.

Indexed as

AdultBrain NeoplasmsCell Line, TumorFemaleGenes, Tumor SuppressorGlioblastomaGPI-Linked ProteinsHumansMaleMatrix MetalloproteinasesMiddle AgedProtein IsoformsRNA SplicingGPI-Linked ProteinsMatrix MetalloproteinasesProtein IsoformsRECK protein, humanGBMisoformsMMPRECKsplicing

Identifiers

PMID26431549
PMCPMC4741753
OpenAlexW2239520439

What OpenQuestion holds

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LicenceCC BY
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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.