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ORIGINAL RESEARCH article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1564784
This article is part of the Research Topic Harnessing Molecular Insights for Enhanced Drug Sensitivity and Immunotherapy in Cancer View all 27 articles
Identify the gene signatures related to NK/T cell communication to evaluate the tumor microenvironment and prognostic outcomes of patients with prostate adenocarcinoma
Provisionally accepted- Department of Urology, Affiliated Hospital of Nantong University, Nantong, China
Background: Prostate adenocarcinoma (PRAD) is a leading cause of male mortality, with NK/T cell communication being key areas of the research.Methods: The Seurat package was utilized to normalize and reduce the dimensionality of the single-cell data, and CellMarker 2.0 was employed for cell annotation. CellChat was utilized to construct the ligand-receptor interaction network of cell subsets. Differentially expressed genes (DEGs) were filtered by the limma package. Univariate Cox and the LASSO regression in the glmnet package were used to obtain biomarkers and develop a risk model. The survminer package was used to calculate the optimal threshold for dividing patients into high-risk and low-risk groups, and then Kaplan-Meier (KM) survival analysis was performed. Single-sample GSEA (ssGSEA), TIMER, and ESTIMATE packages were employed for immune infiltration analysis. Pathway analysis was conducted for the low- and high-risk groups using GSEA. Immunotherapy responses were evaluated by adopting TIDE method. Additional cellular validation (quantitative real-time PCR, CCK-8, Transwell, and scratch assay) was implemented to confirm the effects of feature genes on PRAD.Results: Compared with the benign group, NK/T cells were the cell type with the greatest changes in the tumor group, and their communication intensity was relatively high among all cell types. A RiskScore model was constructed as follows: 0.579*FOXS1 + 0.345*GPC6 + 0.385*ISYNA1 + 0.418*ITGAX + 0.792*MGAT4B + 0.368*PRR7 + 0.458*REXO2. Analysis of the differences between the two risk groups showed that the level of immune infiltration was higher in the high-risk group, and it was significantly enriched in immune-correlated pathways, while the low-risk group was mainly enriched in metabolism-related pathways. TIDE analysis indicated that the high-risk group had higher immune escape potential. The cellular validation assays have revealed the higher expression of seven biomarkers in PRAD groups. Further, ISYNA1 knockdown inhibited the proliferation, migration, and invasion ability of PRAD cells.Conclusion: The current research reveals key communication genes in PRAD, offering new possibilities for the exploration of new therapeutic targets.
Keywords: NK/T cell communication, Tumor Microenvironment, prostate cancer, immune escape, machine learning
Received: 22 Jan 2025; Accepted: 31 Mar 2025.
Copyright: © 2025 Zhang, Xie, Zhao and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yeqing Huang, Department of Urology, Affiliated Hospital of Nantong University, Nantong, China
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