KRT17 stabilizes EPN1 via inhibiting SMURF1-mediated ubiquitination to modulate Wnt/β-catenin signaling output and stem-like traits in ovarian cancer

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Authors: Guiqiang Du, Bilan Li, Ruru Zhao, Huan Tong, Yinyan He, Jing Ding
Cited by: 0
References: 33

Abstract

Abstract Background Ovarian cancer (OC) progression and chemoresistance are closely linked to dysregulated oncogenic signaling, including Wnt/β-catenin pathways that contribute to cancer stem-like traits. However, the upstream mechanisms connecting cytoskeletal regulation to Wn/β-catenin signaling in OC remain incompletely understood. Keratin 17 (KRT17), a type I intermediate filament protein, has been implicated in tumor progression, but its mechanistic role in OC requires clarification. Methods Gene Expression Omnibus (GEO) datasets and clinical specimens were analyzed to assess KRT17 and EPN1 expression and prognostic significance. Functional assays, xenograft models, co-immunoprecipitation, ubiquitination analyses, and rescue experiments with wild-type and ubiquitination-resistant EPN1 mutants were performed to investigate molecular mechanisms. Results KRT17 expression was elevated in OC tissues and correlated with poor patient survival. KRT17 depletion suppressed proliferation, migration, stem-like properties, tumor growth, and cisplatin resistance. Mechanistically, KRT17 interacted with EPN1 and weakened its association with the E3 ligase SMURF1, reducing SMURF1-mediated ubiquitination at lysine 107 and preventing proteasomal degradation. Stabilized EPN1 was associated with increased β-catenin abundance and stemness-associated markers, and enhanced self-renewal capacity. Conclusions These findings identify a KRT17–EPN1 axis that links intermediate filament dynamics to ubiquitin-dependent regulation of EPN1 stability and Wnt/β-catenin signaling outputs in ovarian cancer.

Fields of Study & Subjects

Wnt/β-catenin signaling in development and cancer Ubiquitin and proteasome pathways Cancer Cells and Metastasis

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publication date
25 February 2026
Language
EN
Document type
Preprint