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Open Access Article Issue
ETV4-Mediated PD-L1 Upregulation Promotes Immune Evasion and Predicts Poor Immunotherapy Response in Melanoma
Oncology Research 2026, 34(1): 25
Published: 30 December 2025
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Background

Aberrant expression of transcription factors (TFs) is a key mechanism mediating tumor immune escape and therapeutic resistance. The involvement of E26 transformation-specific (ETS) family of TFs in immune regulation is not fully understood. The study aimed to elucidate the function of E-twenty-six variant 4 (ETV4) in tumor immune evasion and its potential as a predictive biomarker for immunotherapy in melanoma.

Methods

The expression patterns of ETS family TFs were analyzed in melanoma and hepatocellular carcinoma (HCC). Single-cell RNA sequencing (scRNA-seq) was used to dissect the cellular expression and function of ETV4 in the tumor microenvironment. Functional studies and murine models were employed to investigate the role of ETV4 in T cell-mediated tumor killing and tumor growth. The correlation between ETV4 expression level and patient responsiveness to programmed cell death protein 1 (PD-1) blockade therapy was evaluated.

Results

TFs in the ETS family were found to effectively stratify melanoma and HCC patients into prognostic subgroups. In melanoma, the polyoma enhancer activator 3 (PEA3) subfamily, particularly ETV4 and ETV5, showed a negative correlation with immune infiltration. scRNA-seq analysis showed that ETV4 is preferentially expressed in melanoma cells and involves in mediating tumor-immunocyte interactions. Functional studies demonstrated that ETV4 impairs T cell-mediated tumor killing by transcriptionally upregulating programmed death-ligand 1 (PD-L1). In immunocompetent murine models, ETV4 downregulation significantly suppressed tumor growth. Furthermore, high ETV4 expression correlated with poor responses to anti-PD-1 therapy.

Conclusion

Our findings identify ETV4 as a key transcriptional regulator of immune evasion in melanoma by controlling PD-L1 expression. ETV4 may act as a predictive biomarker for immunotherapy outcomes.

Open Access Editorial Issue
Towards precision medicine: Leading with big data and multidisciplinary collaboration
Precision Medication 2024, 1(1)
Published: 21 November 2024
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Precision medicine relies on individuals’ genetic information, omics characteristics, and environmental factors to achieve personalized disease prevention, diagnosis, and treatment. With the successful mapping of the entire human genome and the rise of various cutting-edge omics technologies, precision medicine has ushered in an era of accelerated development. However, there are still many challenges in the implementation of precision medicine, such as insufficient accumulation of clinical evidence, the complexity of data interpretation, and there is a long road ahead before it can be widely available. Close cooperation among multiple disciplines is necessary. Policy support, technological and methodological innovation in academia and industry, and competent precision medicine teams are important factors in the advancement and implementation of precision medicine. Precision prevention, diagnosis, and treatment of diseases require guidance from various levels of data, underscoring the value of big data in the era of precision medicine. It also imposes higher demands on physicians and pharmacists to be capable of prescribing the right drug to the right patient at the right time and at the right dose. The era of precision medicine will be a new era for them to demonstrate greater professional value.

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