Evidence map›Paper›PMID 42432327›Full record

ArticleOncogene2026

MTAP deficiency enhances collective metastasis in non-small cell lung cancer via WNT3A methylation.

Yang Chen, Hongfei Yan, Ye Zhang, Qikun Lv, Ran Ren, Jiajun Wang, Lirong Yan, Yongpeng He, Kezuo Hou, Yunpeng Liu and 3 more

Abstract read
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In one paragraph

Article in Oncogene, 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
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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

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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

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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

13 authors.

Yang Chen *Department of Respiratory and Infectious Disease of Geriatrics, The First Hospital of China Medical University, Shenyang, China.ORCID http://orcid.org/0009-0008-2782-476X
Hongfei Yan *Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Ye ZhangThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Heping District, Shenyang, China.
Qikun LvDepartment of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Ran RenDepartment of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Jiajun WangDepartment of Thoracic Surgery, the First Hospital of China Medical University, Shenyang, China.
Lirong YanThe First Laboratory of Cancer Institute, The First Hospital of China Medical University, Heping District, Shenyang, China.
Yongpeng HeChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, China.
Kezuo HouDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Yunpeng LiuDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.ORCID http://orcid.org/0000-0002-9645-7990
Yongsheng LiDepartment of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, China. lys@cqu.edu.cn.ORCID http://orcid.org/0000-0003-2175-9449
Xiaofang CheDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China. xfche@cmu.edu.cn.ORCID http://orcid.org/0000-0002-9087-1007
Xuejun HuDepartment of Respiratory and Infectious Disease of Geriatrics, The First Hospital of China Medical University, Shenyang, China. xjhu@cmu.edu.cn.ORCID http://orcid.org/0000-0001-7379-6837

Funding

Foundation of Liaoning Province Education Administration (Liaoning Province Education Administration Foundation) JYTQN2023018National Natural Science Foundation of China (National Science Foundation of China) 32170791National Natural Science Foundation of China (National Science Foundation of China) 81972197National Natural Science Foundation of China (National Science Foundation of China) 82102929National Natural Science Foundation of China (National Science Foundation of China) 82303505
6 · The paper itself

Abstract

Collective cell migration (CCM) is a pivotal driver of tumor progression and metastasis in non-small cell lung cancer (NSCLC), yet its upstream regulatory mechanisms remain poorly understood. Here, we investigated the functional role and molecular mechanism of MTAP deficiency in modulating CCM in NSCLC. Clinical sample analysis revealed that NSCLC patients with MTAP deficiency exhibited significantly shorter overall survival. Using a three‑dimensional culture system, we verified that MTAP deficiency had little effect on cell proliferation, but markedly promoted CCM by inducing cytoskeletal rearrangement of leader cells within tumor clusters. Mechanistically, MTAP deletion leads to intracellular MTA accumulation, which suppresses PRMT5 activity and reduces global protein symmetric dimethylarginine (sDMA) modification. Decreased sDMA further enhances USF2 phosphorylation and nuclear translocation, facilitates USF2 binding to the WNT3A promoter, and concurrently reduces DNA CpG methylation of the WNT3A promoter, thereby synergistically activating WNT3A transcription. Upregulated WNT3A strengthens intercellular crosstalk between leader and follower cells, elevates adhesion among follower cells, and drives cytoskeletal remodeling in leader cells, ultimately accelerating CCM progression. Pharmacologically, the WNT3A specific inhibitor C59 effectively blocked CCM formation and mitigated collective metastasis in MTAP‑deficient NSCLC. In summary, our results define a novel MTAP-PRMT5-sDMA-WNT3A regulatory axis that controls CCM and malignant progression of NSCLC. Targeting WNT3A represents a promising therapeutic strategy for the clinical treatment of MTAP‑deficient NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungDNA MethylationLung NeoplasmsWnt3A ProteinAnimalsCell Line, TumorCell MovementCell ProliferationGene Expression Regulation, NeoplasticHumansNeoplasm MetastasisPromoter Regions, GeneticProtein-Arginine N-MethyltransferasesPRMT5 protein, humanProtein-Arginine N-MethyltransferasesWnt3A ProteinWNT3A protein, human

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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.