ncRNA-Mediated Upregulation of AURKA Promotes Hepatocellular Carcinoma Progression and Alters the Immune Microenvironment

Hepatocellular carcinoma (HCC) remains a major cause of cancer-related mortality worldwide. Aurora kinase A (AURKA), a critical regulator of mitosis and spindle assembly, has been implicated in tumorigenesis, yet its clinical relevance and immune associations in HCC require further clarification. Here, we performed integrated bioinformatic analyses using TCGA/GTEx-derived datasets and public platforms (including TIMER and GEPIA2) to characterize AURKA expression patterns, prognostic significance, and functional pathways in HCC. Potential upstream noncoding RNA (ncRNA) interactions were explored using ENCORI and miRNet 2.0, and immune microenvironment correlations were assessed via TIMER/GEPIA2 and TISIDB. We found that AURKA was significantly overexpressed in HCC and associated with unfavorable prognosis and more advanced clinicopathological features. A putative ncRNA regulatory axis involving DUXAP8 and hsa-miR-490-3p was identified as being associated with AURKA expression. Moreover, AURKA expression correlated with immune cell infiltration and immune-related features, suggesting a relationship with the tumor immune microenvironment. Collectively, our analyses suggest that a putative DUXAP8/hsa-miR-490-3p/AURKA regulatory network may be associated with HCC progression and correlates with features of the tumor immune microenvironment. These findings offer insight into potential biomarkers and therapeutic targets for personalized HCC treatment.

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Journal
Bioinformatics and Biology Insights
Published
2026-03-01
DOI
https://doi.org/10.1177/11779322261435461
Primary Topic
Microtubule and mitosis dynamics
Type
article
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article

ncRNA-Mediated Upregulation of AURKA Promotes Hepatocellular Carcinoma Progression and Alters the Immune Microenvironment

Qiyong Li, Yangjun Gu, Zhitao Chen, Chenchen Ding et al.
Bioinformatics and Biology Insights
Microtubule and mitosis dynamics
article

ncRNA-Mediated Upregulation of AURKA Promotes Hepatocellular Carcinoma Progression and Alters the Immune Microenvironment

Qiyong Li, Yangjun Gu, Zhitao Chen, Chenchen Ding, Tianshu Chu
article en

Abstract

Hepatocellular carcinoma (HCC) remains a major cause of cancer-related mortality worldwide. Aurora kinase A (AURKA), a critical regulator of mitosis and spindle assembly, has been implicated in tumorigenesis, yet its clinical relevance and immune associations in HCC require further clarification. Here, we performed integrated bioinformatic analyses using TCGA/GTEx-derived datasets and public platforms (including TIMER and GEPIA2) to characterize AURKA expression patterns, prognostic significance, and functional pathways in HCC. Potential upstream noncoding RNA (ncRNA) interactions were explored using ENCORI and miRNet 2.0, and immune microenvironment correlations were assessed via TIMER/GEPIA2 and TISIDB. We found that AURKA was significantly overexpressed in HCC and associated with unfavorable prognosis and more advanced clinicopathological features. A putative ncRNA regulatory axis involving DUXAP8 and hsa-miR-490-3p was identified as being associated with AURKA expression. Moreover, AURKA expression correlated with immune cell infiltration and immune-related features, suggesting a relationship with the tumor immune microenvironment. Collectively, our analyses suggest that a putative DUXAP8/hsa-miR-490-3p/AURKA regulatory network may be associated with HCC progression and correlates with features of the tumor immune microenvironment. These findings offer insight into potential biomarkers and therapeutic targets for personalized HCC treatment.

Bioinformatics and Biology InsightsVol. 20
Huzhou Central Hospital (CN), Zhejiang Shuren University (CN), Hangzhou Seventh Peoples Hospital (CN), Zhejiang University (CN)
Good health and well-being
Openalex Percentile: Top 6%
Microtubule and mitosis dynamics
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ncRNA-Mediated Upregulation of AURKA Promotes Hepatocellular Carcinoma Progression and Alters the Immune Microenvironment — Qiyong Li, Yangjun Gu, et al. · Bioinformatics and Biology Insights (2026) | TGRS Research Map | TGRS