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Updated: May 9, 2025

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

Identification of the gene signatures related to NK/T cell communication to evaluate the tumor microenvironment and

Kun Zhang¹, Huyang Xie¹, Fan Zhao¹

¹Department of Urology, Affiliated Hospital of Nantong University, Nantong, China.

Frontiers in Immunology

|May 1, 2025

Summary

This study identifies key communication genes in prostate adenocarcinoma (PRAD) by analyzing NK/T cell interactions. These findings highlight potential new therapeutic targets for PRAD, a major cause of male mortality.

Keywords:

NK/T cell communication immune escape machine learning prostate cancer tumor microenvironment

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Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients

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Published on: November 19, 2019

Area of Science:

Oncology
Immunology
Bioinformatics

Background:

Prostate adenocarcinoma (PRAD) is a significant cause of male mortality.
Natural Killer/T (NK/T) cell communication is a critical research area in PRAD.

Purpose of the Study:

To identify key communication genes and cell-cell interactions in PRAD.
To develop a risk model for stratifying PRAD patients.
To explore potential therapeutic targets for PRAD.

Main Methods:

Single-cell RNA sequencing data analysis using Seurat and CellMarker 2.0.
Construction of cell-cell interaction networks with CellChat.
Biomarker identification and risk model development using Cox and LASSO regression.
Immune infiltration analysis (ssGSEA, TIMER, ESTIMATE) and pathway analysis (GSEA).
Validation of gene effects on PRAD cells through in vitro assays.

Main Results:

NK/T cells showed significant alterations and high communication intensity in PRAD tumors.
A risk score model was developed, differentiating high-risk and low-risk patient groups.
High-risk group exhibited increased immune infiltration and immune escape, while the low-risk group showed enrichment in metabolism-related pathways.
Seven biomarkers were validated in PRAD, with ISYNA1 knockdown inhibiting cancer cell proliferation and metastasis.

Conclusions:

This research uncovers crucial communication genes within PRAD.
Identified genes offer novel therapeutic targets for PRAD treatment.
The study provides insights into immune cell communication in prostate cancer progression.