Evidence map›Paper›PMID 25700283›Full record

ArticleMolecular cancer research : MCR2015

p53 and ΔNp63α Coregulate the Transcriptional and Cellular Response to TGFβ and BMP Signals.

Amanda L Balboni, Pratima Cherukuri, Matthew Ung, Andrew J DeCastro, Chao Cheng, James DiRenzo

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cancer research : MCR, 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
1.5field-weighted citation impact, top 18% 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, 18 citations in OpenAlex.

  1. Article
  2. Using different zebrafish models to explore liver regeneration.Frontiers in cell and developmental biology · 2024
    Review
  3. The dual role of p63 in cancer.Frontiers in oncology · 2023
    Review
  4. Article
  5. Gain-of-function hot spot mutant p53Translational oncology · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
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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

6 authors at 1 institution in 2 countries.

Amanda L BalboniProgram in Experimental and Molecular Medicine, The Audrey and Theodor Geisel School of Medicine at Dartmouth, Hanover, New Hampshire. Department of Pharmacology and Toxicology, The Audrey and Theodor Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
Pratima CherukuriDepartment of Pharmacology and Toxicology, The Audrey and Theodor Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
Matthew UngDepartment of Genetics, The Audrey and Theodor Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
Andrew J DeCastroProgram in Experimental and Molecular Medicine, The Audrey and Theodor Geisel School of Medicine at Dartmouth, Hanover, New Hampshire. Department of Pharmacology and Toxicology, The Audrey and Theodor Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
Chao ChengDepartment of Genetics, The Audrey and Theodor Geisel School of Medicine at Dartmouth, Hanover, New Hampshire. Norris Cotton Cancer Center, Lebanon, New Hampshire.
James DiRenzoDepartment of Pharmacology and Toxicology, The Audrey and Theodor Geisel School of Medicine at Dartmouth, Hanover, New Hampshire. Norris Cotton Cancer Center, Lebanon, New Hampshire. james.direnzo@dartmouth.edu.
Dartmouth College · US

Funding

Role of DN-p63 in Preservation of Self RenewalR01CA108539 · NCI · DARTMOUTH COLLEGE · PI DIRENZO, JAMES · 2005 to 2009
$1.4M
NCI NIH HHS 5R01CA108539-05NCI NIH HHS R01 CA108539NIGMS NIH HHS 8 P20 GM03534
6 · The paper itself

Abstract

unlabelledThe TGFβ superfamily regulates a broad range of cellular processes, including proliferation, cell-fate specification, differentiation, and migration. Molecular mechanisms underlying this high degree of pleiotropy and cell-type specificity are not well understood. The TGFβ family is composed of two branches: (i) TGFβs, activins, and nodals, which signal through SMAD2/3, and (ii) bone morphogenetic proteins (BMP), which signal through SMAD1/5/8. SMADs have weak DNA-binding affinity and rely on coactivators and corepressors to specify their transcriptional outputs. This report reveals that p53 and ΔNp63α act as transcriptional partners for SMAD proteins and thereby influence cellular responses to TGFβ and BMPs. Suppression of p53 or overexpression of ΔNp63α synergistically enhance BMP-induced transcription. Mechanistically, p53 and ΔNp63α physically interact with SMAD1/5/8 proteins and co-occupy the promoter region of inhibitor of differentiation (ID2), a prosurvival BMP target gene. Demonstrating further convergence of these pathways, TGFβ-induced canonical BMP regulated transcription in a ΔNp63α- and p53-dependent manner. Furthermore, bioinformatic analyses revealed that SMAD2/3 and ΔNp63α coregulate a significant number of transcripts involved in the regulation of epithelial-to-mesenchymal transition. Thus, p53 and ΔNp63α are transcriptional partners for a subset of TGFβ- and BMP-regulated SMAD target genes in the mammary epithelium. Collectively, these results establish an integrated gene network of SMADs, p53, and ΔNp63α that contribute to EMT and metastasis. IMPLICATIONS: This study identifies aberrant BMP activation as a result of p53 mutation or ΔNp63α expression.

Indexed as

Bone Morphogenetic ProteinsCell Line, TumorEpithelial-Mesenchymal TransitionHumansSignal TransductionSmad ProteinsTranscription FactorsTranscription, GeneticTransforming Growth Factor betaTumor Suppressor Protein p53Tumor Suppressor ProteinsBone Morphogenetic ProteinsSmad ProteinsTP53 protein, humanTP63 protein, humanTranscription FactorsTransforming Growth Factor betaTumor Suppressor Protein p53Tumor Suppressor Proteins

Identifiers

PMID25700283
PMCPMC4398640
OpenAlexW2104686826

What OpenQuestion holds

Textmetadata
LicenceTDM
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.