DTX3L Inhibits the EMT, Metastasis, and Stem‐Like Features of Gastric Cancer Through Promoting GSK‐3β Dependent SNAI1 Decay

Gastric cancer remains a leading cause of cancer mortality worldwide, largely due to its high metastatic potential driven by epithelial-mesenchymal transition (EMT). Here, we identify Deltex E3 ubiquitin ligase 3L (DTX3L) as a previously unrecognized tumor suppressor in gastric cancer. DTX3L expression is markedly reduced in metastatic and mesenchymal-type gastric cancers and positively correlates with favorable patient prognosis. Functional analyses in cell lines, organoids and animal models demonstrate that DTX3L depletion promotes gastric cancer cell migration, invasion, stem-like properties and metastasis, whereas its overexpression exhibits opposite effects. Mechanistically, DTX3L acts as an E3 ubiquitin ligase that directly interacts with and ubiquitinates SNAI1, a master EMT regulator, leading to its GSK-3β dependent proteasomal degradation. Loss of DTX3L stabilizes SNAI1 and enhances EMT and stem-like phenotypes. Moreover, we uncover that TGF-β1-induced miR-135b-5p downregulates DTX3L, forming a regulatory axis that promotes EMT. Collectively, our findings reveal a novel DTX3L-SNAI1 signaling pathway governing EMT and metastasis in gastric cancer, providing mechanistic insight and suggesting DTX3L as a potential prognostic biomarker and therapeutic target.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2026-04-13
DOI
https://doi.org/10.1002/advs.202524036
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DTX3L Inhibits the EMT, Metastasis, and Stem‐Like Features of Gastric Cancer Through Promoting GSK‐3β Dependent SNAI1 Decay

Yang Chen, Zhen Wang, Xiaoli Zhao, Jingyu Lin et al.
Advanced Science
Cancer Cells and Metastasis
article

DTX3L Inhibits the EMT, Metastasis, and Stem‐Like Features of Gastric Cancer Through Promoting GSK‐3β Dependent SNAI1 Decay

Yang Chen, Zhen Wang, Xiaoli Zhao, Jingyu Lin, Rui Zhang, Jiajia Shen, Zhen Li
article en

Abstract

Gastric cancer remains a leading cause of cancer mortality worldwide, largely due to its high metastatic potential driven by epithelial-mesenchymal transition (EMT). Here, we identify Deltex E3 ubiquitin ligase 3L (DTX3L) as a previously unrecognized tumor suppressor in gastric cancer. DTX3L expression is markedly reduced in metastatic and mesenchymal-type gastric cancers and positively correlates with favorable patient prognosis. Functional analyses in cell lines, organoids and animal models demonstrate that DTX3L depletion promotes gastric cancer cell migration, invasion, stem-like properties and metastasis, whereas its overexpression exhibits opposite effects. Mechanistically, DTX3L acts as an E3 ubiquitin ligase that directly interacts with and ubiquitinates SNAI1, a master EMT regulator, leading to its GSK-3β dependent proteasomal degradation. Loss of DTX3L stabilizes SNAI1 and enhances EMT and stem-like phenotypes. Moreover, we uncover that TGF-β1-induced miR-135b-5p downregulates DTX3L, forming a regulatory axis that promotes EMT. Collectively, our findings reveal a novel DTX3L-SNAI1 signaling pathway governing EMT and metastasis in gastric cancer, providing mechanistic insight and suggesting DTX3L as a potential prognostic biomarker and therapeutic target.

Advanced Science
Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 18%
Cancer Cells and Metastasis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.