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Small target detection tasks are the focus and difficulty of target detection tasks. Methods to improve detection accuracy are often accompanied by drawbacks, such as a high number of parameters, computational effort, and latency. Therefore, this paper proposes the LightYOLO-S target detection algorithm based on YOLOv8s, which achieves high accuracy in small target detection tasks. First, the proposed LightC2f module reduces the overall number of parameters, computation, and inference time of the model while maintaining the same plug-and-play characteristics as the C2f module. Second, the proposed Wise-DIoU loss function, which speeds up model convergence and improves accuracy without increasing the number of parameters or computation. Third, the proposed Dynamic Sampler counts the IoU scores and classification scores of the screened training samples to adjust the sample allocation function, so that the model can obtain the best training samples during training.The results of experimental studies on the VisDrone2019 UAV aerial photography dataset and the DOTA remote sensing dataset indicate that LightYOLO-S exhibits greater accuracy and faster operation speed than the current state-of-the-art detection algorithms. [ABSTRACT FROM AUTHOR]

Temozolomide (TMZ) resistance is a major obstacle in glioma treatment. Nuclear protein-1 (NUPR1) is a regulator of glioma progression. This study investigated the mechanism of NUPR1 in TMZ resistance in hypoxiatreated glioma cells and its mechanism in modulating autophagy. We treated TMZ-resistant cells U251-TMZ and T98G-TMZ to normoxia or hypoxia and silenced NUPR1 in hypoxia-treated U251-TMZ and T98G-TMZ cells to assess cell viability, proliferation, apoptosis, LC3-II/LC3-I and p62 expressions, and autophagic flux under different concentrations of TMZ. We found that hypoxia upregulated NUPR1 expression and autophagy while NUPR1 silencing suppressed hypoxia-induced TMZ resistance and autophagy in glioma cells. We also investigated the interaction between NUPR1 and lysine demethylase 3A (KDM3A), as well as the enrichments of KDM3A and H3 lysine 9 dimethylation (H3K9me2) in the transcription factor EB (TFEB) promoter region. Our results suggest that hypoxia-induced NUPR1 promotes TFEB transcription by binding to KDM3A and reducing H3K9me2 levels, thereby augmenting glioma cell autophagy and TMZ resistance. Moreover, the overexpression of KDM3A or TFEB promoted glioma cell autophagy. In a xenograft tumor model, silencing NUPR1 suppressed TMZ resistance in glioma cells in vivo. Overall, our findings highlight a mechanism by which NUPR1 enhances glioma cell autophagy and TMZ resistance via the KDM3A/TFEB axis. [ABSTRACT FROM AUTHOR]

Background: Primary central nervous system lymphoma (PCNSL) is a rare B-cell lymphoma of central nervous system, which is often found in immunocompromised patients. The common clinical treatment of PCNSL is methotrexate (MTX) and whole brain radiation therapy. With the development of tumour immunology research, the tumour microenvironment of PCNSL is characterised by abnormal expression of different immune signature molecules and patients with PCNSL may benefit from tumour immunotherapy. Methods: In our research, RNA-seq data from 82 PCNSL patients were collated by mining themicroarray data from the GEO database. All samples were classified into three types related to tumour immune response by the Cibersort algorithm and consistent clustering. Differential analysis of genes was used to uncover 2 sets of differential genes associated with tumour immunity. The ICI scores of each sample were obtained by PCA algorithm, and the relationship between ICI scores and immune checkpoint expression, immunotherapy and drug sensitivity was investigated. Genes associated with ICI scores and their functional characteristics were investigated by WGCNA analysis and PPI analysis, based on the ICI scores of each sample. Results: The tumour microenvironment in PCNSL has a greater relationship with the tumour immune response. ICI scores obtained from 375 differential geneswere associated with multiple immune responses in PCNSL. PCNSL patients with higher ICI scores had a better tumour microenvironment and were sensitive to immunotherapy and some small molecule drug. This study also identified 64 genes associated with ICI scores, which may serve as important therapeutic and prognostic targets for PCNSL. Conclusion: The presence of multiple immunosuppressive responses in the tumour microenvironment of PCNSL which suggested that improving the immune function of PCNSL patients through immunotherapy and targeted therapies can be an effective treatment for PCNSL. And the ICI score and associated genes may also provide a better predictor of the clinical use of immunotherapy. [ABSTRACT FROM AUTHOR]

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