Evidence map›Paper›PMID 39819877›Full record

ArticleNature communications2025

Anti-proteolytic regulation of KRAS by USP9X/NDRG3 in KRAS-driven cancer development.

Han Koo, Kyung Chan Park, Hyun Ahm Sohn, Minho Kang, Dong Joon Kim, Zee-Yong Park, Sehoon Park, Sang Hyun Min, Seong-Hwan Park, Yeon-Mi You and 7 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

17 authors.

Han Koo *Personalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea.ORCID http://orcid.org/0000-0003-1165-3173
Kyung Chan Park *Personalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea.
Hyun Ahm SohnPersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea.
Minho KangPersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea.
Dong Joon KimDepartment of Microbiology, College of Medicine, Dankook University, Cheonan, Chungcheongnam-do, Korea.ORCID http://orcid.org/0000-0001-6910-9213
Zee-Yong ParkSchool of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, Korea.ORCID http://orcid.org/0000-0002-8184-5982
Sehoon ParkSchool of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, Korea.
Sang Hyun MinDepartment of Innovative Pharmaceutical Sciences, Kyungpook National University, Deagu, Korea.
Seong-Hwan ParkPersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea.
Yeon-Mi YouPersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea.
Yohan HanPersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea.
Bo-Kyung KimPersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea.ORCID http://orcid.org/0000-0003-0863-3008
Chul-Ho LeeDepartment of Functional Genomics, KRIBB School of Bioscience, University of Science and Technology, Daejeon, Korea.ORCID http://orcid.org/0000-0002-6996-5746
Yeon-Soo KimGraduate School of New Drug Discovery and Development, Chungnam National University, Daejeon, Korea.
Sang J ChungDepartment of Biopharmaceutical Convergence, School of Pharmacy, Sungkyunkwan University, Suwon, Gyeonggi-do, Korea.ORCID http://orcid.org/0000-0002-3501-212X
Young Il YeomPersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea. yeomyi@kribb.re.kr.ORCID http://orcid.org/0000-0003-4279-805X
Dong Chul LeePersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea. dclee@kribb.re.kr.ORCID http://orcid.org/0009-0008-7177-5205

Funding

Korea Research Institute of Bioscience and Biotechnology (KRIBB) KGM5192423Ministry of Health and Welfare (Ministry of Health, Welfare and Family Affairs) RS-2022-DD128974National Research Foundation of Korea (NRF) NRF-2016M3A9E4947789National Research Foundation of Korea (NRF) NRF-2020R1A2C2009257National Research Foundation of Korea (NRF) NRF-2022R111A2070098National Research Foundation of Korea (NRF) NRF-2022R1A2C3009475
6 · The paper itself

Abstract

Cancers with activating mutations of KRAS show a high prevalence but remain intractable, requiring innovative strategies to overcome the poor targetability of KRAS. Here, we report that KRAS expression is post-translationally up-regulated through deubiquitination when the scaffolding function of NDRG3 (N-Myc downstream-regulated gene 3) promotes specific interaction between KRAS and a deubiquitinating enzyme, USP9X. In KRAS-mutant cancer cells KRAS protein expression, downstream signaling, and cell growth are highly dependent on NDRG3. In conditional Kras

Indexed as

Carcinoma, Pancreatic DuctalNerve Tissue ProteinsPancreatic NeoplasmsProto-Oncogene Proteins p21(ras)Ubiquitin ThiolesteraseAnimalsCell Line, TumorCell ProliferationGene Expression Regulation, NeoplasticHumansMiceMutationProteolysisUbiquitinationKRAS protein, humanNerve Tissue ProteinsProto-Oncogene Proteins p21(ras)Ubiquitin ThiolesteraseUSP9X protein, humanUsp9x protein, mouse

Identifiers

PMID39819877
PMCPMC11739382

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.