Nucleolar and spindle-associated protein 1 (NUSAP1) is a potential molecular marker and intervention target for glioblastoma (GBM). In this study, we aim to investigate upstream regulatory lncRNAs and miRNAs of NUSAP1 through both experimental and bioinformatic methods. We screened upstream lncRNAs and miRNAs of NUSAP1 through multiple databases based on ceRNA theory. Then, in vitro and in vivo experiments were performed to elucidate the relevant biological significance and regulatory mechanism among them. Finally, the potential downstream mechanism was discussed. LINC01393 and miR-128-3p were screened as upstream regulatory molecules of NUSAP1 by TCGA and ENCORI databases. The negative correlations among them were confirmed in clinical specimens. Biochemical studies revealed that overexpression or knockdown of LINC01393 respectively enhanced or inhibited malignant phenotype of GBM cells. MiR-128-3p inhibitor reversed LINC01393 knockdown-mediated impacts on GBM cells. Then, dual-luciferase reporter assay and RNA immunoprecipitation assay were conducted to validate LINC01393/miR-128-3p/NUSAP1 interactions. In vivo, LINC01393-knockdown decreased tumor growth and improved mice survival, while restoration of NUSAP1 partially reversed these effects. Additionally, enrichment analysis and western blot revealed that the roles of LINC01393 and NUSAP1 in GBM progression were associated with NF-κB activation. Our findings showed that LINC01393 sponged miR-128-3p to upregulate NUSAP1, thereby promoting GBM development and progression via activating NF-κB pathway. This work deepens understanding of GBM mechanisms and provides potential novel therapeutic targets for GBM.

Ubiquitin-Activating Enzyme E1 (UBA1), an E1 enzyme involved in the activation of ubiquitin enzymes, has been involved in the onset and progression of different cancers in humans. Nevertheless, the precise contribution of UBA1 in breast cancer (BC) is still poorly characterized. In this study, a thorough investigation was carried out to elucidate the significance of UBA1 and validate its functionality in BC. Through the analysis of mRNA sequencing data of BC patients, the mRNA expression of UBA1 was observed to be notably enhanced in cancer tissues relative to controls, and high UBA1 expression was linked to worse overall survival (OS), disease-specific survival (DSS), and progress-free survival (PFS). Moreover, UBA1 exhibited potential as an independent prognostic and diagnostic biomarker for individuals with BC. Additionally, functional enrichment analysis revealed the involvement of UBA1 in inflammation-linked pathways, like the TNF-α signaling pathway, the IL-6 signaling pathway, and various immune-related biological processes. Notably, single-sample gene set enrichment analysis (ssGSEA) aided in the identification of a negative link between UBA1 expression and the levels of infiltrating mast cells, Th1 cells, iDC cells, B cells, DC cells, Tem cells, Cytotoxic cells, T cells, CD8T cells, and pDC cells. Finally, this study demonstrated that silencing UBA1 significantly impeded the growth and development of BC cell lines. These findings highlight UBA1 as a potential prognostic biomarker linked to immune infiltration in BC, thereby depicting its potential as a new therapeutic target for individuals with BC.

Background: Breast cancer continues to pose a significant global health burden, accounting for a substantial proportion of cancer-related mortality in women worldwide. Despite advancements in therapeutic strategies, overall survival rates remain suboptimal, underscoring the critical need for innovative prognostic tools to improve patient outcomes. Methods: In this study, we introduced a novel tumor mitochondria transfer (TMT) scoring system based on 17 core genes to assess mitochondrial dynamics and their potential impact on the tumor microenvironment. Utilizing comprehensive datasets from TCGA-BRCA and GEO databases, we investigated the association between TMT scores and immune-metabolic features at both multi-cell and single-cell resolutions. Single-cell RNA sequencing (scRNA-seq) profiles were used to delineate the biological consequences of mitochondrial transfer. Additionally, co-culture experiments were conducted to validate our findings. Results: Our analysis revealed that elevated TMT scores are strongly associated with adverse clinical outcomes in patients with breast cancer. Tumors with high TMT scores exhibited pronounced hypoxia, immune suppression, and metabolic reprogramming. Specifically, these tumors demonstrated impaired T-cell functionality and enhanced mitochondrial transfer to tumor cells, suggesting a pivotal role for mitochondrial dynamics in promoting immune evasion and metabolic adaptations that drive tumor progression. Conclusions: The TMT score may represent a novel prognostic biomarker in breast cancer, highlighting the intricate relationship between mitochondrial transfer and tumor pathophysiology. Our findings suggested that targeting mitochondrial dynamics could be a potential therapeutic avenue for exploration, which might enhance breast cancer management strategies. Further exploration of the mitochondrial mechanisms in cancer biology may pave the way for more precise and effective therapeutic interventions