Evidence map›Paper›PMID 39870764›Full record

ArticleNature chemical biology2025

Plasma membrane-associated ARAF condensates fuel RAS-related cancer drug resistance.

Wen Li, Xiaoxian Shi, Caiwei Tan, Zhaodi Jiang, Mingyi Li, Zhiheng Ji, Jing Zhou, Mengxin Luo, Zuyan Fan, Zhifan Ding and 7 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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  6. Review
  7. REPLACE-ing RNA through evolution.Nature chemical biology · 2025
    Article
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.

Wen Li *Zhejiang Key Laboratory of Molecular Cancer Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China.
Xiaoxian Shi *Zhejiang Key Laboratory of Molecular Cancer Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China.
Caiwei Tan *Zhejiang University College of Pharmaceutical Sciences, Hangzhou, China.
Zhaodi JiangThe National Institute of Biological Sciences and Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0001-9480-6942
Mingyi LiZhejiang Key Laboratory of Molecular Cancer Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China.
Zhiheng JiThe Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jing ZhouZhejiang Key Laboratory of Molecular Cancer Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China.
Mengxin LuoZhejiang University College of Pharmaceutical Sciences, Hangzhou, China.
Zuyan FanZhejiang Key Laboratory of Molecular Cancer Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China.
Zhifan DingDepartment of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yue FangZhejiang Key Laboratory of Molecular Cancer Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China.
Jun SunDepartment of Thoracic Surgery and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Junjun DingKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-9936-882X
Huasong LuZhejiang Key Laboratory of Molecular Cancer Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0003-0875-5531
Weirui MaZhejiang Key Laboratory of Molecular Cancer Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China.
Wei XieZhejiang University College of Pharmaceutical Sciences, Hangzhou, China. xie_wei@zju.edu.cn.ORCID http://orcid.org/0000-0002-4550-6211
Wenjing SuZhejiang Key Laboratory of Molecular Cancer Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China. wenjingsu@zju.edu.cn.ORCID http://orcid.org/0000-0002-1775-9115

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32370754National Natural Science Foundation of China (National Science Foundation of China) 82151216National Natural Science Foundation of China (National Science Foundation of China) 82473975Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LZ24H160002
6 · The paper itself

Abstract

RAF protein kinases are major RAS effectors that function by phosphorylating MEK. Although all three RAF isoforms share a conserved RAS binding domain and bind to GTP-loaded RAS, only ARAF uniquely enhances RAS activity. Here we uncovered the molecular basis of ARAF in regulating RAS activation. The disordered N-terminal sequence of ARAF drives self-assembly, forming ARAF-RAS condensates tethered to the plasma membrane. These structures concentrate active RAS locally, impeding NF1-mediated negative regulation of RAS, thereby fostering receptor tyrosine kinase (RTK)-triggered RAS activation. In RAS-mutant tumors, loss of the ARAF N terminus sensitizes tumor cells to pan-RAF inhibition. In hormone-sensitive cancers, increased ARAF condensates drive endocrine therapy resistance, whereas ARAF depletion reverses RTK-dependent resistance. Our findings delineate ARAF-RAS protein condensates as distinct subcellular structures sustaining RAS activity and facilitating oncogenic RAS signaling. Targeting ARAF-RAS condensation may offer a strategy to overcome drug resistance in both wild-type and mutant ARAF-mediated scenarios.

Indexed as

Cell MembraneDrug Resistance, NeoplasmNeoplasmsras ProteinsAnimalsCell Line, TumorHumansMiceSignal Transductionras Proteins

Identifiers

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.