Evidence map›Paper›PMID 40841567›Full record

ArticleScientific reports2025

A novel, synthesized, amphiphilic ethylene glycol squalene derivative suppresses BBN-induced bladder carcinogenesis.

Keisuke Sano, Masanobu Shiga, Farhana Ferdousi, Hiromichi Sakurai, Kazuki Hamada, Kozaburo Tanuma, Satoshi Nitta, Yoshiyuki Nagumo, Shuya Kandori, Akio Hoshi and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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. 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

17 authors.

Keisuke SanoDepartment of Urology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan.
Masanobu ShigaDepartment of Urology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan.
Farhana FerdousiInstitute of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Japan.
Hiromichi SakuraiDepartment of Urology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan.
Kazuki HamadaDepartment of Urology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan.
Kozaburo TanumaDepartment of Urology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan.
Satoshi NittaDepartment of Urology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan.
Yoshiyuki NagumoDepartment of Urology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan.
Shuya KandoriDepartment of Urology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan. shuya79@md.tsukuba.ac.jp.
Akio HoshiDepartment of Urology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan.
Hiromitsu NegoroDepartment of Urology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan.
Bryan J MathisDepartment of Cardiovascular Surgery, University of Tsukuba, Tsukuba, Japan.
Jun MiyazakiDepartment of Urology, School of Medicine, International University of Health and Welfare, Narita, Japan.
Tran Ngoc LinhNational Institute of Advanced Industrial Science and Technology (AIST)-University of Tsukuba Open Innovation Laboratory for Food and Medicinal Resource Engineering (FoodMed-OIL), University of Tsukuba, Tsukuba, Japan.
Takashi ArimuraNational Institute of Advanced Industrial Science and Technology (AIST)-University of Tsukuba Open Innovation Laboratory for Food and Medicinal Resource Engineering (FoodMed-OIL), University of Tsukuba, Tsukuba, Japan.
Hiroko IsodaInstitute of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Japan.
Hiroyuki NishiyamaDepartment of Urology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Squalene, a natural triterpene with antioxidant, anti-inflammatory, and immunostimulatory properties, holds promise for cancer therapy. Here, we examined a previously developed, diethylene glycol derivative of squalene (SQ-diEG) and investigated its in vivo anti-carcinogenic effects in bladder cancer. C57BL/6 mice were treated with 0.025% N-butyl-N-(4-hydroxybutyl) nitrosamine (BBN) to induce bladder cancer, with SQ-diEG or PBS (control) administered orally from Week 0. SQ-diEG significantly reduced bladder cancer incidence to 3.7% after 8 weeks, compared to 21.4% in controls (p = 0.025). Transcriptomic analysis indicated that SQ-diEG may exert anti-carcinogenic effects by reducing ROS-mediated DNA damage, enhancing the immune microenvironment, and modulating cholesterol biosynthesis via SQLE downregulation. In vitro, SQ-diEG inhibited proliferation and induced apoptosis in bladder cancer cell lines. This study is the first to demonstrate that SQ-diEG significantly reduces bladder cancer in a BBN mouse model, highlighting potential for therapeutic development. Further research is needed to elucidate the mechanisms and long-term efficacy of SQ-diEG.

Indexed as

CarcinogenesisEthylene GlycolSqualeneUrinary Bladder NeoplasmsAnimalsApoptosisButylhydroxybutylnitrosamineCell Line, TumorCell ProliferationCholesterolDNA DamageFemaleHumansMiceMice, Inbred C57BLButylhydroxybutylnitrosamineCholesterolEthylene GlycolSqualeneApoptosisBladder cancerCholesterol metabolismEthylene glycol derivativeSQLESqualene

Identifiers

PMID40841567
PMCPMC12370948

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.