Evidence map›Paper›PMID 42091786›Full record

ArticleDiscover oncology2026

Multidimensional immune ecological subtyping identifies RUNX1 as a prognostic factor in uveal melanoma.

Wen-Qing Yan, Yan Li, Xiao-Yi Qin, Geng-Zhong Chen, Yi-Ling Yin, Mei-Qin Zheng, Hui-Jing Xu

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Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wen-Qing Yan *National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Yan Li *School of Health Industry Management, University of SanYa, Sanya, China.
Xiao-Yi QinNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Geng-Zhong ChenNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Yi-Ling YinNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Mei-Qin ZhengNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China. zmq@eye.ac.cn.
Hui-Jing XuNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China. xhj114485@wmu.edu.cn.

Funding

Research Project of the Zhejiang Provincial Department of Education No. Y202457120Talent Start-up Research Program No. KYQD20240501the Science and Technology Plan Project of Wenzhou Municipality No. Y20240058
6 · The paper itself

Abstract

Uveal melanoma (UVM) is an aggressive intraocular malignancy with a high risk of metastasis but few effective therapies. However, current molecular classification systems do not completely reflect the immune-stromal interactions underlying tumor progression and immune dysfunction. Therefore, we aimed to establish a multidimensional immune ecological framework for UVM by integrating bulk and single-cell transcriptomics with analyses of immune activity, metabolic programs, regulon states, and cell-cell communication. We identified two robust immune ecological subtypes, CS1 and CS2, with markedly divergent clinical outcomes. The poor-prognosis CS1 subtype was characterized by frequent BAP1 loss, prominent IFN/STAT signaling, and a paradoxical "inflamed yet immunosuppressed" tumor microenvironment, whereas CS2 was characterized by a relatively immune-stable reference state. Through machine-learning screening across independent cohorts, we identified the transcription factor RUNX1 as a prognostic marker enriched in the CS1 subtype. Functional assays demonstrated that RUNX1 promotes UVM cell proliferation and migration, suggesting a potential role in CS1 immune ecological state. Given its enrichment in CS1, RUNX1 may be related to cytokine signaling and stromal remodeling features; however, this inference is based on subtype characteristics and requires further validation. Consistent with these subtype-specific features, CS1 tumors exhibited distinct sensitivities to dasatinib, lapatinib, paclitaxel, and cisplatin, indicating immune-state-associated therapeutic vulnerabilities. Together, these findings suggest a RUNX1-associated immunosuppressive tumor ecology in UVM and provide a conceptual framework for immune-state-guided therapeutic strategies.

Indexed as

Immune ecological subtypesImmunosuppressionMulti-omics integrationRUNX1Tumor microenvironmentUveal melanoma

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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.