Hepatocellular carcinoma (HCC) ranks among the most lethal malignancies around the world. However, the current management strategies for predicting prognosis in HCC patients remain unreliable. Our study developed a robust prognostic model based on glutamine metabolism associated-genes (GMAGs), utilizing data from The Cancer Genome Atlas database. The prognostic values of model were validated through the databases of the Gene Expression Omnibus and International Cancer Genome Consortium via Kaplan‒Meier curves and receiver operating characteristic (ROC). The potential biological pathways associated with prognostic risk were investigated through different enrichment analysis, and Gene variation analysis. The correlation between prognostic model and therapeutic responses were analyzed. Quantitative real-time PCR (qRT-PCR) and cellular experiments were measured to analyze the GMAGs. Consequently, a prognostic model was constructed of 4 GMAGs (RRM1, RRM2, G6PD, and GPX7) through least absolute shrinkage and selection operator (LASSO) regression analysis. The Kaplan‒Meier curves and ROC curves showed a reliable predictive capacity of prognosis for HCC patients (p < 0.05). The enrichment analyses revealed a multitude of biological pathways that are significantly associated with cancer. Patients with high prognostic risk might be sensitive to immunotherapy (p < 0.05). The results of qRT-PCR revealed that all 4 GMAGs exhibited significantly higher expression levels in HCC samples compared to normal samples (p < 0.05). Moreover, the knockdown of RRM1 suppresses the progression of HCC cells. In this study, we developed a robust prognostic model for predicting the prognosis of HCC patients based on GMAGs, and identified RRM1 as a potential therapeutic target for HCC.

Breast cancer (BRCA) remains a global health burden, with endocrine-resistant ER-positive BRCA posing therapeutic challenges. This study investigates STAMBP’s role in breast cancer progression and evaluates its potential as a therapeutic target. Through siRNA library screening in ER-positive cell lines, we identified STAMBP as a key regulator of ERα signaling and observed its upregulation in BRCA samples. (fold changes > 2, sample sizes = 30, p < 0.001), particularly in ER-positive subtypes. Prognostic analysis demonstrated that STAMBP overexpression correlates with poor clinical outcomes in ER-positive BRCA patients (p < 0.05). In vitro functional assays showed STAMBP promoted proliferation, metastasis, and epithelial–mesenchymal transition of ER-positive cells by regulating the activity of ERα signaling. Mechanistically, the deubiquitinase STAMBP directly reduces the K48-linked polyubiquitination levels of ERα, enhancing its protein stability and activating downstream oncogenic signaling. STAMBP knockdown restored tamoxifen sensitivity in endocrine-resistant BRCA cells by reducing ERα stability. This study has certain limitations, including the absence of pharmacological validation and reliance on small, single-center clinical cohorts, which should be addressed in future research to further substantiate the clinical relevance of targeting STAMBP in BRCA. Collectively, our findings identified STAMBP as a prognostic marker and demonstrated its dual role in driving ER-positive BRCA malignancy and mediating endocrine resistance. Targeting STAMBP may represent an innovative approach to improve endocrine therapeutic efficacy in ER-positive BRCA.