Evidence map›Paper›PMID 39915463›Full record

ArticleCell death discovery2025

TAp63γ is the primary isoform of TP63 for tumor suppression but not development.

Xinbin Chen, Wenqiang Sun, Xiangmudong Kong, Xin Ming, Yanhong Zhang, Wensheng Yan, Shakur Mohibi, Mingyi Chen, Keith Mitchell, Jin Zhang

Abstract read
In one paragraph

Article in Cell death discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Xinbin ChenComparative Oncology Laboratory, Schools of Veterinary Medicine and Medicine, University of California, Davis, USA.ORCID http://orcid.org/0000-0002-4582-6506
Wenqiang SunComparative Oncology Laboratory, Schools of Veterinary Medicine and Medicine, University of California, Davis, USA.
Xiangmudong KongComparative Oncology Laboratory, Schools of Veterinary Medicine and Medicine, University of California, Davis, USA.
Xin MingComparative Oncology Laboratory, Schools of Veterinary Medicine and Medicine, University of California, Davis, USA.
Yanhong ZhangComparative Oncology Laboratory, Schools of Veterinary Medicine and Medicine, University of California, Davis, USA.
Wensheng YanComparative Oncology Laboratory, Schools of Veterinary Medicine and Medicine, University of California, Davis, USA.
Shakur MohibiComparative Oncology Laboratory, Schools of Veterinary Medicine and Medicine, University of California, Davis, USA.
Mingyi ChenDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, 75390, USA.ORCID http://orcid.org/0000-0001-6754-0480
Keith MitchellDepartment of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, Davis, CA, USA.
Jin ZhangComparative Oncology Laboratory, Schools of Veterinary Medicine and Medicine, University of California, Davis, USA. jinzhang@ucdavis.edu.ORCID http://orcid.org/0000-0002-6835-920X

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Gina M Dayton · 2002 to 2026
$84.9M
Mechanism of p53-dependent Tumor SuppressionR01CA250338 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CHEN, XINBIN · 2020 to 2024
$2.2M
The role of the p63-RBM38 loop in tumor suppressionR01CA195828 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CHEN, XINBIN · 2016 to 2020
$1.8M
The nuclear Ferredoxin reductase and its role in tumor suppressionR01CA283368 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Xinbin Chen · 2024 to 2026
$1.4M
NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA195828NCI NIH HHS R01 CA250338NCI NIH HHS R01 CA283368U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA250338U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA283368
6 · The paper itself

Abstract

TP63 is expressed as TAp63 and ΔNp63 from the P1 and P2 promoters, respectively. While TAp63 and ΔNp63 are expressed as three TAp63α/β/γ and ΔNp63α/β/γ due to alternative splicing, only p63α (TA and ΔN) and p63γ (TA and ΔN) proteins are found to be detectable and likely to be responsible for p63-dependent activity. Previous studies implied and/or demonstrated that TAp63α, which contains an N-terminal activation domain conserved in p53, functions as a tumor suppressor by regulating an array of genes for growth suppression. By contrast, ΔNp63α, which also contains an N-terminal activation domain but is different from that in TAp63, regulates a unique set of genes and functions as a master regulator for development of epidermis and other stratified epithelial tissues. However, the biological function of p63γ is largely unexplored. To explore this, we generated a mouse model in that exon 10', a coding exon specific for p63γ, was deleted by CRISPR-cas9. We showed that mice deficient in p63γ are viable and futile, which is different from mice deficient in total TP63 or p63α. Like TAp63-deficient mice, p63γ-deficient mice have a short lifespan and are prone to spontanenous tumors. Additionally, loss of p63γ shortens the lifespan of tumor-free mice potentially via increased cellular senescence. Moreover, mice deficient in p63γ are prone to chronic inflammation in multiple organs and liver steatosis potentially via altered lipid metabolism. Single-cell RNA-seq revealed that loss of p63γ increases the expression of SCD1, a rate-limiting enzyme for synthesis of monounsaturated fatty acids, leading to altered lipid homeostasis. Together, our data indicate that TP63γ is the primary isoform of TP63 for tumor suppression but not development by maintaining normal inflammatory response and lipid homeostasis.

Identifiers

PMID39915463
PMCPMC11802870

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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.