Evidence map›Paper›PMID 40145793›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

MAGEA6 Engages a YY1-Dependent Transcription to Dictate Perineural Invasion in Colorectal Cancer.

Hao Wang, Kexin He, Ruixue Huo, Weihan Li, Shan Zhang, Lu-Ju Jiang, Hao Wu, Minhao Yu, Shu-Heng Jiang, Junli Xue

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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. Review
  2. Review
  3. Review
  4. Article
  5. Machine Learning-Based Pathomics Signature for Perineural Invasion in Colorectal Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  6. Review
  7. 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

10 authors.

Hao WangDepartment of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, P. R. China.
Kexin HeDepartment of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, P. R. China.
Ruixue HuoDepartment of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, P. R. China.
Weihan LiDepartment of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, P. R. China.
Shan ZhangState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.
Lu-Ju JiangState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.
Hao WuDepartment of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, P. R. China.
Minhao YuDepartment of Gastrointestinal Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China.
Shu-Heng JiangState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.
Junli XueDepartment of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, P. R. China.ORCID https://orcid.org/0000-0002-0564-5284

Funding

Academic Leaders Training Program of Pudong Health Bureau of Shanghai PWRd2021-09Chinese Society of Clinical Oncology Y-2022HER2AZMS-0181Chinese Society of Clinical Oncology Y-xsk2021-0003Healthcare Talents Elite Program of Shanghai Pudong New Area 2025PDWSYCBJ-02Natural Science Foundation of China 82260562Natural Science Foundation of China 82372922Shanghai Pudong New Area Health Commission 2025PDWSYCBJ-02Shanghai Pudong New Area Health Commission PWRd2021-09
6 · The paper itself

Abstract

Perineural invasion (PNI), characterized by tumor cells surrounding and invading nerves, is associated with poor prognosis in colorectal cancer (CRC). Understanding the mechanisms of PNI is crucial for developing targeted therapies to impede tumor progression. In this study, clinical information and transcriptome data are obtained from the TCGA database. Stable MAGEA6 knockdown CRC cell lines are established to investigate the impact of MAGEA6 on CRC malignancy. Immunohistochemical staining is used to assess the clinical significance of MAGEA6. Rectal orthotopic and sciatic nerve invasion models are employed to verify the role of MAGEA6 in PNI. Schwann cells (SCs) infiltration and recruitment by CRC cells are assessed using ssGSEA and co-culture experiments. The results reveal that MAGEA6 is a key regulator of PNI, with its expression correlating with poor prognosis. MAGEA6 knockdown reduces CRC cell migration, invasion, and PNI ability. Moreover, CRC cells recruit SCs, with CXCL1 promoting SCs migration. Mechanistically, MAGEA6 inhibits YY1 ubiquitination, stabilizing YY1 expression and enhancing SC recruitment via YY1-mediated CXCL1 transcription. These findings suggest that MAGEA6 enhances CRC invasiveness and PNI by stabilizing YY1, which upregulates CXCL1 secretion and promotes SC recruitment. This interaction underscores the critical role of MAGEA6 in PNI and highlights a potential therapeutic target in CRC.

Indexed as

Antigens, NeoplasmColorectal NeoplasmsNeoplasm ProteinsYY1 Transcription FactorAnimalsCell Line, TumorCell MovementFemaleGene Expression Regulation, NeoplasticHumansMaleMiceNeoplasm InvasivenessPrognosisSchwann CellsAntigens, NeoplasmNeoplasm ProteinsYY1 protein, humanYY1 Transcription Factorcancer neurosciencemelanoma‐associated antigen a6perineural invasionschwann cellyin‐yang 1

Identifiers

PMID40145793
PMCPMC12224987

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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.