Evidence map›Paper›PMID 39143074›Full record

ArticleCell death discovery2024

Regulation of Hippo/YAP axis in colon cancer progression by the deubiquitinase JOSD1.

Yanan Sun, Dongyi Liu, Xiaobo Zhang, Peng Su, Xin Li, Zhongbo Li, Yingwen Gai, Jingying Li, Zhiyong Yang, Yinlu Ding and 2 more

Abstract read
In one paragraph

Article in Cell death discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Targeting ubiquitination in disease and therapy.Signal transduction and targeted therapy · 2025
    Review
  5. Review
  6. Cancers · 2025
    Article
  7. Review
  8. Article
  9. Deubiquitylating Enzymes in Hepatocellular Carcinoma.International journal of biological sciences · 2025
    Review
  10. 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

12 authors.

Yanan Sun *Department of General Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong Province, P.R. China.
Dongyi Liu *Department of Anesthesiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong Province, P.R. China.
Xiaobo Zhang *Department of General surgery, Shengjing Hospital of China Medical University, Shenyang, 110000, Liaoning Province, P.R. China.
Peng Su *Department of Pathology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong Province, P.R. China.ORCID http://orcid.org/0000-0002-7000-0474
Xin LiXinxiang Key Laboratory of Tumor Migration and Invasion Precision Medicine, School of Medical Technology, Xinxiang Medical University, Xinxiang, 453003, Henan Province, P.R. China.ORCID http://orcid.org/0009-0007-3315-3408
Zhongbo LiXinxiang Key Laboratory of Tumor Migration and Invasion Precision Medicine, School of Medical Technology, Xinxiang Medical University, Xinxiang, 453003, Henan Province, P.R. China.
Yingwen GaiDepartment of General surgery, Shengjing Hospital of China Medical University, Shenyang, 110000, Liaoning Province, P.R. China.
Jingying LiDepartment of Health Management, Shengjing Hospital of China Medical University, Shenyang, 110000, Liaoning Province, P.R. China.
Zhiyong YangDeartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang, 110000, Liaoning Province, P.R. China.
Yinlu DingDepartment of General Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong Province, P.R. China. dingyinlu@126.com.ORCID http://orcid.org/0000-0001-8111-8964
Jian ZhuDepartment of General surgery, Shengjing Hospital of China Medical University, Shenyang, 110000, Liaoning Province, P.R. China. zhujian1204@yahoo.com.
Xiaodong TanDepartment of General surgery, Shengjing Hospital of China Medical University, Shenyang, 110000, Liaoning Province, P.R. China. tanxdcmu@163.com.ORCID http://orcid.org/0000-0003-0862-1306

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colon cancer is a prevalent malignancy, while recent studies revealed the dys-regulation of Hippo signaling as the important driver for colon cancer progression. Several studies have indicated that post-translational modifications on YAP play crucial roles in both Hippo signaling activity and cancer progression. This raises a puzzling question about why YAP/TAZ, an auto-inhibitory pathway, is frequently over-activated in colon cancer, despite the suppressive cascade of Hippo signaling remaining operational. The protein stability of YAP is subject to a tiny balance between ubiquitination and deubiquitination processes. Through correlation analysis of DUBs (deubiquitinases) expression and Hippo target gene signature in colon cancer samples, we found JOSD1 as a critical deubiquitinase for Hippo signaling and colon cancer progression. JOSD1 could facilitate colon cancer progression and in colon cancer, inhibition of JOSD1 via shRNA has been demonstrated to impede tumorigenesis. Furthermore, molecular mechanism studies have elucidated that JOSD1 enhances the formation of the Hippo/YAP transcriptome by impeding K48-linked polyubiquitination on YAP. ChIP assays have shown that YAP binds to JOSD1's promoter region, promoting its gene transcription. These results suggest that JOSD1 is involved in both activating and being targeted by the Hippo signaling pathway in colon cancer. Consequently, a positive regulatory loop between JOSD1 and Hippo signaling has been identified, underscoring their interdependence during colon cancer progression. Thus, targeting JOSD1 may represent a promising therapeutic approach for managing colon cancer.

Identifiers

PMID39143074
PMCPMC11325045

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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.