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Background: Ras-GTPase-activating protein (GAP)-binding protein 1 (G3BP1) emerges as a pivotal oncogenic gene across various malignancies, notably including nasopharyngeal carcinoma (NPC). The use of automated image analysis tools for immunohistochemical (IHC) staining of particular proteins is highly beneficial, as it could reduce the burden on pathologists. Interestingly, there have been no prior studies that have examined G3BP1 IHC staining using digital pathology. Methods: Whole-slide images (WSIs) were meticulously collected and annotated by experienced pathologists. A model was intricately designed and rigorously tested to yield the quantitative data regarding staining intensity and extent. The collective output data was subjected multiplicative analysis, exploring its correlation with the prognosis. Results: The G3BP1 molecular marker scoring model was successfully established utilizing deep learning methodologies, with a calculated threshold staining scores of 1.5. Notably, patients with NPC exhibiting higher expression levels of G3BP1 proteins displayed significantly lower for overall survival rates (OS). Multivariate analysis further validated that positive expression of G3BP1 stood as an independent poorer prognostic factors, indicating a poorer prognosis for NPC patients. Conclusion: Computational pathology emerges as a transformative tool capable of substantially reducing the burden on pathologists while concurrently enhancing and diagnostic sensitivity and specificity. The positive expression of G3BP1 protein serves as valuable, independent biomarker, offering predictive insights into a poor prognosis for patients with NPC. [ABSTRACT FROM AUTHOR]

MicroRNA (miRNA) dysregulation has been identified in several carcinomas, including non-small cell lung cancer (NSCLC), and is known to play a role in the development and progression of this disease. We initially conducted a miRNA microarray analysis, which revealed that the MNK inhibitor CGP57380 increased the expression of miR-150-3p. A similar analysis was performed using data from The Cancer Genome Atlas (TCGA). Cell proliferation, colony formation and migration assays were validated in A549 and H157 cells treated with miR-150-3p mimics. Quantitative polymerase chain reaction (qPCR) was then used to detect potential target genes. We observed significant downregulation of miR-150-3p in NSCLC samples compared with normal samples (P = 0.035). High miR-150-3p expression was associated with longer overall survival (P = 0.005), as determined via a tissue microarray (TMA). These results were validated in the TCGA and revealed that miR-150-3p was expressed at low levels in NSCLC tissues (P < 0.0001) and that patients with high miR-150-3p expression had a better prognosis (P = 0.042). Moreover, the combination of miR-150-3p and CGP57380 exerted a synergistic inhibitory effect on colony formation, growth, and migration and induced apoptosis in NSCLC cell lines. We investigated the potential targets of miR-150-3p and successfully validated six potential target genes through qPCR analysis. High miR-150-3p expression may enhance the response to immunotherapy, cisplatin and gemcitabine. In summary, this study underscores the promising therapeutic implications of combining miR-150-3p and CGP57380 for NSCLC treatment. Additionally, this study provides valuable insights into the molecular mechanisms underlying the effects of this treatment. [ABSTRACT FROM AUTHOR]

Nasopharyngeal carcinoma (NPC) is a prevalent malignancy in China, commonly associated with undifferentiated cell types and Epstein-Barr virus (EBV) infection. The presence of intense lymphocytic infiltration and elevated expression of programmed cell death ligand 1(PD-L1) in NPC highlights its potential for immunotherapy, yet current treatment outcomes remain suboptimal. In this review, we explore the tumor microenvironment of NPC to better understand the mechanisms of resistance to immunotherapy, evaluate current therapeutic strategies, and pinpoint emerging targets, such as tertiary lymphoid structures (TLSs), that could enhance treatment outcomes and prognostic accuracy. TLSs have demonstrated positive prognostic value in NPC, making them a promising target for future therapies. This review summarizes the key characteristics of TLSs and latest research in the context of NPC. We are optimistic that targeting TLSs could improve immunotherapy outcomes for NPC patients, ultimately leading to more effective treatment strategies and better patient survival. [ABSTRACT FROM AUTHOR]