Evidence map›Paper›PMID 41326842›Full record

ArticleCellular and molecular life sciences : CMLS2025

Mutant p53 regulates reversible subtype plasticity in pancreatic cancer.

June-Ha Shin, Hwa-Ryeon Kim, Jae-Seok Roe

Abstract read
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Revisiting tumor immunogenicity through the lens of mutant p53: Implications for cancer immunotherapy.Apoptosis : an international journal on programmed cell death · 2026
    Review
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

3 authors.

June-Ha ShinDepartment of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0002-6076-0090
Hwa-Ryeon KimDepartment of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0001-9418-7061
Jae-Seok RoeDepartment of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea. jroe@yonsei.ac.kr.ORCID http://orcid.org/0000-0002-9994-3062

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loss-of-function mutations in the TP53 gene are the most frequent genetic events in human malignancies. However, the extent to which missense TP53 mutations confer oncogenic gain-of-function (GOF) properties remains incompletely understood. Using genetically defined pancreatic cancer organoid models, we demonstrated that mutant p53 provides a selective growth advantage under acute environmental stress and drives molecular transition toward a basal-like state. Transcriptomic analyses showed that under stress conditions, organoids expressing mutant p53 adopted a basal-like gene expression program, a characteristic of a poor prognosis subtype of pancreatic cancer. Furthermore, the molecular subtype was reversed to the classical subtype once it returned to normal growth conditions, suggesting that transcriptional plasticity arises from acute changes in the tissue microenvironment. Given these context-dependent oncogenic properties, our findings suggest that targeting mutant p53 may be a promising therapeutic strategy for pancreatic cancer.

Indexed as

MutationPancreatic NeoplasmsTumor Suppressor Protein p53AnimalsCell ProliferationGain of Function MutationGene Expression Regulation, NeoplasticHumansOrganoidsTP53 protein, humanTumor Suppressor Protein p53Gain-of-functionMutant p53OrganoidPancreatic cancerSubtype

Identifiers

PMID41326842
PMCPMC12775228

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.