Evidence map›Paper›PMID 22348085›Full record

ArticlePloS one2012

p53-Dependent transcriptional responses to interleukin-3 signaling.

Anissa M Jabbour, Lavinia Gordon, Carmel P Daunt, Benjamin D Green, Chung H Kok, Richard D'Andrea, Paul G Ekert

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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 5 institutions in 1 country.

Anissa M JabbourChildren's Cancer Centre, Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia. jabbour@wehi.edu.au
Lavinia Gordon
Carmel P Daunt
Benjamin D Green
Chung H Kok
Richard D'Andrea
Paul G Ekert
University of Melbourne · AUMurdoch Children's Research Institute · AUQueen Elizabeth Hospital · AURoyal Children's Hospital · AUSouth Australia Pathology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

p53 is critical in the normal response to a variety of cellular stresses including DNA damage and loss of p53 function is a common feature of many cancers. In hematological malignancies, p53 deletion is less common than in solid malignancies but is associated with poor prognosis and resistance to chemotherapy. Compared to their wild-type (WT) counterparts, hematopoietic progenitor cells lacking p53 have a greater propensity to survive cytokine loss, in part, due to the failure to transcribe Puma, a proapoptotic Bcl-2 family member. Using expression arrays, we have further characterized the differences that distinguish p53(-/-) cells from WT myeloid cells in the presence of Interleukin-3 (IL-3) to determine if such differences contribute to the increased clonogenicity and survival responses observed in p53(-/-) cells. We show that p53(-/-) cells have a deregulated intracellular signaling environment and display a more rapid and sustained response to IL-3. This was accompanied by an increase in active ERK1/2 and a dependence on an intact MAP kinase signaling pathway. Contrastingly, we find that p53(-/-) cells are independent on AKT for their survival. Thus, loss of p53 in myeloid cells results in an altered transcriptional and kinase signaling environment that favors enhanced cytokine signaling.

Indexed as

Signal TransductionTranscription, GeneticAnimalsCell SurvivalInterleukin-3MAP Kinase Signaling SystemMiceMyeloid CellsProto-Oncogene Proteins c-aktTumor Suppressor Protein p53Interleukin-3Proto-Oncogene Proteins c-aktTumor Suppressor Protein p53

Identifiers

PMID22348085
PMCPMC3279357
OpenAlexW1996843522

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.