Evidence map›Paper›PMID 21646684›Full record

ReviewOncotarget2011

Molecular signature induced by RNASET2, a tumor antagonizing gene, in ovarian cancer cells.

Francesco Acquati, Laura Monti, Marta Lualdi, Marco Fabbri, Maria Grazia Sacco, Laura Gribaldo, Roberto Taramelli

Open access · hybridAbstract readReview
In one paragraph

Review in Oncotarget, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Pathogenic Roles for RNASET2 in Clear Cell Renal Cell Carcinoma.Laboratory investigation; a journal of technical methods and pathology · 2024
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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

7 authors at 2 institutions in 1 country.

Francesco AcquatiDipartimento di Biotecnologie e Scienze Molecolari, Università degli Studi dell'Insubria, via JH Dunant 3, 21100 Varese, Italy. francesco.acquati@uninsubria.it
Laura Monti
Marta Lualdi
Marco Fabbri
Maria Grazia Sacco
Laura Gribaldo
Roberto Taramelli
University of Insubria · ITJoint Research Centre · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using the Hey3Met2 human ovarian cancer cell line, we previously found the RNASET2 gene to possess a remarkable in vivo tumor suppressor activity, although no in vitro features such as inhibition of cell proliferation, clonogenic potential, impaired growth in soft agar and increase in apoptotic rate could be detected. This is reminiscent of the behavior of genes belonging to the class of tumor antagonizing genes (TAG) which act mainly within the context of the microenvironment. Here we present transcriptional profiles analysis which indicates that investigations of the mechanisms of TAG biological functions require a comparison between the in vitro and in vivo expression patterns. Indeed several genes displaying a biological function potentially related to tumor suppression could not be validated by subsequent in vivo expression analysis. On the other hand the fact that we could find congruency for three genes both in vivo and in vitro adds a warning to a too much stringent categorization of this class of genes which relies on the sensitivity of the methodological approaches.

Indexed as

Gene Expression ProfilingAnimalsCarcinomaFemaleGene Expression Regulation, NeoplasticGenes, Tumor SuppressorHumansOvarian NeoplasmsRibonucleasesTumor Cells, CulturedTumor Suppressor ProteinsUp-RegulationValidation Studies as TopicRibonucleasesRNASET2 protein, humanTumor Suppressor Proteins

Identifiers

PMID21646684
PMCPMC3248199
OpenAlexW1525425460

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.