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Comprehensive pan-cancer evaluation of NUP85 prognosis, immune infiltration response, and validation in prostate cancer

前列腺癌 癌症 生物标志物 生物 疾病 前列腺 癌症研究 免疫系统 肿瘤科 生物信息学 计算生物学 医学 免疫学 内科学 遗传学
作者
Zhijun Chen,Han Guan,Long Chen,Xinwei Yuan,Wenyan Sun,Ming Chen
出处
期刊:Discover Oncology [Springer Nature]
卷期号:16 (1)
标识
DOI:10.1007/s12672-025-03735-1
摘要

Although NUP85 is a member of the nuclear pore complex (NPC) and is associated with chromosome variation and tumor regulation, its specific role in cancer development remains unclear and requires further research. This study analyzes the mRNA and protein levels of NUP85 in normal and tumor tissues using the TCGA, GTEx, and HPA databases. We investigated the relationship between NUP85 and survival rates, as well as clinical features, in various tumors by analyzing the TCGA database. The expression pattern of NUP85 in cancer cells is analyzed using single-cell sequencing data from the TISCH database. Two types of prostate cancer cell lines are utilized to investigate the impact of NUP85 on cell proliferation, migration, invasion, and apoptosis, as well as its regulatory mechanism. These analyses aim to uncover the role of NUP85 in cancer, particularly in prostate cancer. NUP85 is observed to exhibit elevated expression levels across multiple malignancies, with its heightened expression showing consistent associations with poorer clinical prognoses. Bioinformatic analyses further reveal that NUP85 expression patterns demonstrate significant correlations with the activity of cancer-related pathways and immunological interactions involving macrophages and T cell populations. Notably, experimental studies using prostate cancer models have documented reduced cellular proliferation following NUP85 knockout, suggesting a potential functional connection warranting further mechanistic investigation. The results indicate that elevated NUP85 expression shows strong correlations with cancer initiation and progression. These findings support its potential utility as a candidate biomarker for disease monitoring across various malignancies, though mechanistic validation remains necessary to establish clinical applicability.
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