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Wnt Signaling in Tumorigenesis: From Molecular Mechanisms to Precision Therapeutic Targets
Guizhen Lyu1, Yuxin Zhang2, Dongbing Li3
1Dongguan Key Laboratory of Clinical Medical Test Diagnostic Technology for Oncology, Dongguan Labway Clinical Laboratory Co., Ltd., Dongguan 523429, Guangdong, China.
Abstract:
The Wingless/Integrated (Wnt) signaling pathway governs embryogenesis, stem-cell renewal, and tissue repair; its dysregulation is a pivotal oncogenic driver. This review integrates recent multi-omic and translational studies to delineate how canonical and non-canonical Wnt cascades initiate, maintain, and disseminate tumors across diverse organs. We summarize mutational hotspots, including APC, CTNNB1, RNF43, and ZNRF3, which trigger ligand-independent β- catenin stabilization, and contrast these with ligand-driven circuits within the tumor microenvironment (TME) that amplify inter- and intratumoral heterogeneity. Tumor-specific expression profiles reveal the biphasic role of Wnt-4 in clear-cell renal carcinoma, β-catenin-mediated aggressiveness in triple-negative breast cancer, and LEF1-dependent transcriptional programs in pediatric hepatoblastoma and medulloblastoma. Crosstalk with TGF-β and Notch pathways, as well as the epithelial- mesenchymal transition (EMT) program, sustains cancer stem-cell traits, fuels metastasis, and underpins resistance to chemotherapy, radiotherapy, and immunotherapy. Mechanistically, Wnt signaling up-regulates multidrug-resistance efflux pumps, enriches PD-L1, and skews tumorassociated macrophages (TAMs) toward immunosuppressive M2 phenotypes. Therapeutic advances include porcupine (PORCN) inhibitors, β-catenin/TCF blockers, and Frizzled-directed antibodies now in phase I/II trials; however, their efficacy is limited by on-target toxicities and adaptive resistance. Integration of Wnt-centric gene signatures and machine-learning risk models now enables patient stratification and outcome prediction. Targeting context-dependent Wnt signaling, combined with rational combinatorial immunotherapy and TME reprogramming, offers a promising precisiononcology strategy to overcome therapeutic barriers in Wnt-driven malignancies.
Insights
The Wingless (Wnt) signaling pathway drives cancer by promoting tumor growth and spread. Targeting Wnt signaling, combined with immunotherapy, offers a new precision oncology strategy for difficult-to-treat cancers.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Signaling Pathways
Background:
- The Wingless/Integrated (Wnt) signaling pathway is crucial for development and tissue homeostasis.
- Dysregulation of Wnt signaling is a key driver in various cancers, impacting embryogenesis, stem-cell renewal, and tissue repair.
- Recent multi-omic and translational studies highlight Wnt pathway's role in tumor initiation, maintenance, and dissemination.
Purpose of the Study:
- To review how canonical and non-canonical Wnt signaling cascades initiate, maintain, and spread tumors across diverse organs.
- To summarize Wnt pathway's role in cancer stem-cell traits, metastasis, and therapeutic resistance.
- To explore emerging therapeutic strategies targeting Wnt signaling in malignancies.
Main Methods:
- Integration of recent multi-omic and translational studies.
- Analysis of mutational hotspots (e.g., APC, CTNNB1, RNF43, ZNRF3) and ligand-driven circuits.
- Examination of tumor-specific expression profiles and pathway crosstalk (e.g., TGF-β, Notch, EMT).
Main Results:
- Wnt signaling dysregulation, through mutations or tumor microenvironment interactions, drives tumor progression and heterogeneity.
- Wnt pathway crosstalk with TGF-β, Notch, and EMT sustains cancer stem cells, metastasis, and resistance to therapies.
- Wnt signaling mechanistically promotes multidrug resistance, PD-L1 enrichment, and immunosuppressive tumor microenvironments.
- Emerging therapies targeting Wnt signaling show promise but face challenges with toxicity and resistance.
Conclusions:
- Targeting context-dependent Wnt signaling, alongside immunotherapy and TME reprogramming, is a promising precision oncology strategy.
- Wnt-centric gene signatures and machine learning enable patient stratification and outcome prediction for Wnt-driven cancers.
- Overcoming therapeutic barriers in Wnt-driven malignancies requires integrated approaches targeting Wnt signaling and its associated pathways.
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