Evidence map›Paper›PMID 42486946›Full record

ArticleActa pharmacologica Sinica2026

Targeting JOSD2 degrades β-catenin to suppress colorectal cancer metastasis by disrupting RAS/ERK/β-catenin axis.

Yue Liu, Shu-Yu Yang, Wen-Han Zhang, Yan-Ting Liang, Jun-Wei Fu, Jing-Yu Dai, Rui-Lin Wu, Chu-Run Zheng, Hao-Tong Wang, Yong-Hao Li and 10 more

Abstract read
In one paragraph

Article in Acta pharmacologica Sinica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Yue LiuCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Shu-Yu YangCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Wen-Han ZhangCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Yan-Ting LiangCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Jun-Wei FuCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Jing-Yu DaiCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Rui-Lin WuCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Chu-Run ZhengCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Hao-Tong WangCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Yong-Hao LiCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Run-Qiu GuoCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Chen-Ming ZengCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Xiang-Yu XuCenter for Drug Safety Evaluation and Research of Zhejiang University, Hangzhou, 310058, China.
Zheng-Bo SongZhejiang Cancer Hospital, Hangzhou, 310022, China.
Chun-Wei XuHangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, 310022, China.
Ji CaoCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Qiao-Jun HeCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Hong ZhuCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China.
Tao YuanCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China. 11919006@zju.edu.cn.
Bo YangCollege of Pharmaceutical Sciences, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Zhejiang University, Hangzhou, 310058, China. yang924@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) ranks as the third most common malignancy worldwide, with metastasis representing the primary cause of mortality. Aberrant activation of the Wnt/β-catenin pathway drives epithelial‒mesenchymal transition (EMT) and CRC metastasis, making β-catenin a key therapeutic target. Josephin domain containing 2 (JOSD2), a deubiquitinase with protumorigenic roles in multiple cancers, has an undefined function in CRC metastasis. Herein, by screening a protein homeostasis-related inhibitor library, we identified HY041004, a reported JOSD2 inhibitor, which potently suppresses β-catenin transcriptional activity. Mechanistically, JOSD2 modulates β-catenin protein abundance and functional activity via the RAS-ERK signaling cascade rather than through direct deubiquitination of β-catenin. Functional assays further demonstrated that JOSD2 inhibition via RNA interference or pharmacological inhibition significantly attenuated CRC metastasis both in vitro and in vivo. Collectively, our findings identify JOSD2 as a critical oncogenic factor that promotes β-catenin activity and validate JOSD2 as an underlying therapeutic target for metastatic CRC (mCRC).

Indexed as

Antineoplastic Agentsbeta CateninColorectal NeoplasmsAnimalsCell Line, TumorHumansMiceMice, Inbred BALB CMice, NudeNeoplasm Metastasisras ProteinsAntineoplastic Agentsbeta Cateninras Proteinscolorectal cancerdeubiquitinaseJOSD2metastasisβ-catenin

Identifiers

PMID42486946
PMCPMC13586299

What OpenQuestion holds

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Registered trials

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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.