Evidence map›Paper›PMID 39031627›Full record

ArticleCancer science2024

Impacts of cytoplasmic p53 aggregates on the prognosis and the transcriptome in lung squamous cell carcinoma.

Kazuchika Nishitsuji, Remi Mito, Midori Ikezaki, Hiromu Yano, Yukio Fujiwara, Eri Matsubara, Taro Nishikawa, Yoshito Ihara, Kenji Uchimura, Naoyuki Iwahashi and 3 more

Abstract read
In one paragraph

Article in Cancer science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

13 authors.

Kazuchika NishitsujiDepartment of Biochemistry, School of Medicine, Wakayama Medical University, Wakayama, Japan.ORCID https://orcid.org/0000-0003-3056-8310
Remi MitoDepartment of Cell Pathology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Midori IkezakiDepartment of Biochemistry, School of Medicine, Wakayama Medical University, Wakayama, Japan.
Hiromu YanoDepartment of Cell Pathology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0003-3985-0259
Yukio FujiwaraDepartment of Cell Pathology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0002-2074-0597
Eri MatsubaraDepartment of Cell Pathology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0002-7964-5607
Taro NishikawaDepartment of Biochemistry, School of Medicine, Wakayama Medical University, Wakayama, Japan.
Yoshito IharaDepartment of Biochemistry, School of Medicine, Wakayama Medical University, Wakayama, Japan.ORCID https://orcid.org/0000-0002-8674-5681
Kenji UchimuraUnité de Glycobiologie Structurale et Fonctionnelle, UMR 8576 CNRS, Université de Lille, Villeneuve d'Ascq, France.
Naoyuki IwahashiDepartment of Obstetrics and Gynecology, School of Medicine, Wakayama Medical University, Wakayama, Japan.
Takuro SakagamiDepartment of Respiratory Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Makoto SuzukiDepartment of Thoracic and Breast Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Yoshihiro KomoharaDepartment of Cell Pathology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0001-9723-0846

Funding

Japan Society for the Promotion of Science 20H03459Japan Society for the Promotion of Science 20K09605Japan Society for the Promotion of Science 20KK0371Japan Society for the Promotion of Science 22K09623Mochida Memorial Foundation for Medical and Pharmaceutical ResearchPrincess Takamatsu Cancer Research Fund 23-255025Suzuken Memorial FoundationWakayama Medical University Tokutei-kenkyu-zyosei 2019Wakayama Medical University Tokutei-kenkyu-zyosei 2020
6 · The paper itself

Abstract

The tumor suppressor TP53 gene, the most frequently mutated gene in human cancers, produces the product tumor protein p53, which plays an essential role in DNA damage. p53 protein mutations may contribute to tumorigenesis by loss of tumor suppressive functions and malignancy of cancer cells via gain-of-oncogenic functions. We previously reported that mutant p53 proteins form aggregates and that cytoplasmic p53 aggregates were associated with poor prognosis in human ovarian cancer. However, the prognostic impact of p53 aggregation in other tumors including lung squamous cell carcinoma (SCC) is poorly understood. Here, we demonstrated that lung SCC cases with cytoplasmic p53 aggregates had a significantly poor clinical prognosis. Analysis via patient-derived tumor organoids (PDOs) established from lung SCC patients and possessing cytoplasmic p53 aggregates showed that eliminating cytoplasmic p53 aggregates suppressed cell proliferation. RNA sequencing and transcriptome analysis of p53 aggregate-harboring PDOs indicated multiple candidate pathways involved in p53 aggregate oncogenic functions. With lung SCC-derived cell lines, we found that cytoplasmic p53 aggregates contributed to cisplatin resistance. This study thus shows that p53 aggregates are a predictor of poor prognosis in lung SCC and suggests that detecting p53 aggregates via p53 conventional immunohistochemical analysis may aid patient selection for platinum-based therapy.

Indexed as

Carcinoma, Squamous CellCisplatinLung NeoplasmsTranscriptomeTumor Suppressor Protein p53Cell Line, TumorCell ProliferationCytoplasmDrug Resistance, NeoplasmFemaleGene Expression Regulation, NeoplasticHumansMaleMutationPrognosisCisplatinTP53 protein, humanTumor Suppressor Protein p53cisplatinlung squamous cell carcinomap53p53 aggregateRNA sequencing

Identifiers

PMID39031627
PMCPMC11462941

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Registered trials

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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.