Evidence map›Paper›PMID 42281281›Full record

ArticleMolecular nutrition & food research2026

ω-3PUFAs Inhibit Gallbladder Cancer Through Enhancing STK31 Methylation.

Shuang-Xing Li, Wei-Yu Zhu, Hai-Ying Peng, Bin Zhang, Zhu-Ying Lin, Song-Lin Yang, Yi-Yi Zhao, Hui Gao, Shan He, Yuan Liu and 7 more

Abstract read
In one paragraph

Article in Molecular nutrition & food research, 2026. 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.

Shuang-Xing LiCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Wei-Yu ZhuCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Hai-Ying PengCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Bin ZhangCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Zhu-Ying LinCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Song-Lin YangCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Yi-Yi ZhaoCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Hui GaoCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Shan HeCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Yuan LiuCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Xiao-Dan WangCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Yang-Fan GuoCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Wen-Ju WangCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Zong-Liu HouCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Ming-Yao MengCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Li-Wei LiaoCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.
Lin LiCentral Laboratory of Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, China.

Funding

Key research and development plan of Yunnan Province 202403AC100002Kunming Medical University Graduate Innovation Fund 2025S118National Natural Science Foundation of China 82260522National Natural Science Foundation of China 82460329
6 · The paper itself

Abstract

Gallbladder cancer (GBC) is an aggressive malignancy with limited treatment options. ω-3PUFAs have known anticancer activity, but their role in GBC remains unclear. The anti-GBC effects of ω-3PUFAs (DHA/EPA) were evaluated using in vitro assays and mouse xenograft models. Epigenetic changes were analyzed by RRBS, MSP, and MethyLight PCR. Downstream mechanisms were explored via proteomics, Co-IP, and Western blot. This study demonstrates that ω-3PUFAs suppress GBC progression by inducing promoter hypermethylation of STK31, which is an oncogene found in GBC by our previous study. MethyLight PCR revealed that ω-3PUFAs treatment significantly increased STK31 promoter methylation in GBC-SD cells from 34.1% ± 20.91% to 89.1% ± 13.11%. Moreover, STK31(DNMT1)/GSK3β pathway and COL4A1 (ITGB1) were particularly associated with ω-3PUFAs' inhibitory mechanisms to GBC. In vivo experimental results demonstrated that ω-3PUFAs significantly inhibited the growth of gallbladder cancer xenografts, with tumor growth inhibition rates of 38.6% for GBC-SD and 50.2% for NOZ at day 33, and effectively suppressed tumor cell metastasis in an intraperitoneal mouse model. This study provides first evidence that ω-3PUFAs target STK31 via epigenetic reprogramming, opening new avenues for dietary intervention and targeted therapy of GBC.

Indexed as

DNA MethylationFatty Acids, Omega-3Gallbladder NeoplasmsProtein Serine-Threonine KinasesAnimalsCell Line, TumorEpigenesis, GeneticFemaleGlycogen Synthase Kinase 3 betaHumansMiceMice, Inbred BALB CMice, NudePromoter Regions, GeneticXenograft Model Antitumor AssaysFatty Acids, Omega-3Glycogen Synthase Kinase 3 betaProtein Serine-Threonine KinasesSTK31 protein, humanDNA methylationgallbladder cancerGSK3βSTK31ω‐3PUFAs

Identifiers

PMID42281281
PMCPMC13261096

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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.