Evidence map›Paper›PMID 41199284›Full record

ReviewJournal of translational medicine2025

Targeted protein degradation of Wnt/β-catenin signaling pathway: an effective strategy for cancer therapy.

Shuyang Mao, Xiaofan Zhang, Yijun Zhao, Xingxing Li, Zitong Wang, Pan Zhou, Zixuan Wang, Xiaofei Zhang, Xiamin Hu, Gang Huang and 1 more

Abstract readReview
In one paragraph

Review in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

11 authors.

Shuyang Mao *School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Xiaofan Zhang *Digital and Intelligent Empowerment Biomedical Innovation Center, School of Pharmacy, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Yijun Zhao *Digital and Intelligent Empowerment Biomedical Innovation Center, School of Pharmacy, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Xingxing LiDigital and Intelligent Empowerment Biomedical Innovation Center, School of Pharmacy, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Zitong WangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Pan ZhouDigital and Intelligent Empowerment Biomedical Innovation Center, School of Pharmacy, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Zixuan WangDigital and Intelligent Empowerment Biomedical Innovation Center, School of Pharmacy, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Xiaofei ZhangDepartment of Gynecology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China. sophia_zhang@tongji.edu.cn.
Xiamin HuDigital and Intelligent Empowerment Biomedical Innovation Center, School of Pharmacy, Shanghai University of Medicine and Health Sciences, Shanghai, China. Huxm@sumhs.edu.cn.
Gang HuangShanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, China. huanggang@sumhs.edu.cn.
Wei XieDigital and Intelligent Empowerment Biomedical Innovation Center, School of Pharmacy, Shanghai University of Medicine and Health Sciences, Shanghai, China. xiew@sumhs.edu.cn.ORCID 0000-0001-6288-3046

Funding

"AI Empowerment for Research Program" initiated by the Shanghai Municipal Education Commission SHJWAIJK241205Construction project of Shanghai Key Laboratory of Molecular Imaging 18DZ2260400Key Clinical Program of Shanghai Municipal Health Commission 20214Y0516National Natural Science Foundation of China 82127807National Natural Science Foundation of China 82203714Natural Science Foundation of Shanghai Municipality 23ZR1427400
6 · The paper itself

Abstract

The Wnt/β-Catenin signaling pathway is highly conserved and initiated by a multiprotein signalosome complex. It is essential for embryonic development, organ formation, and tissue homeostasis. Abnormal Wnt signaling is found in many malignant tumors, and Wnt mutations are widely known to drive tumor initiation. Since the discovery of its oncogenic roles, numerous therapeutic agents have been developed, but none have been approved. This is attributed to the inherent structural characteristics of its core components and their role in normal tissue homeostasis. The majority of clinical drugs are occupancy-driven small molecule inhibitors, and most encounter challenges such as off-target effects and adverse toxicities. In recent years, targeted protein degradation (TPD) technology has emerged as a promising approach, offering a novel strategy for drug development targeting the Wnt/β-Catenin pathway. Utilizing this technology to degrade key proteins in the Wnt/β-Catenin pathway holds significant potential for inhibiting its oncogenic effects and restoring the cancer-immunity cycle (CI cycle). This review presents a systematic analysis of the "undruggability" of the Wnt/β-Catenin pathway and proposes potential strategies ranging from target selection to TPD application, with the aim of offering novel insights into overcoming this challenge.

Indexed as

beta CateninMolecular Targeted TherapyNeoplasmsProteolysisWnt Signaling PathwayAnimalsHumansbeta CateninLysosomeTargeted protein degradationUbiquitinateUndruggableWnt/β-Catenin signaling pathway

Identifiers

PMID41199284
PMCPMC12590716

What OpenQuestion holds

Textmetadata
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.