Publications by authors named "Xu-Kai Liu"

Article Synopsis
  • The study focuses on finding better ways to treat glioma by exploring the mechanisms behind patient prognosis and guiding treatment interventions.
  • Researchers conducted a comprehensive analysis of gene expressions and classified tumor samples into two groups based on prognosis, particularly examining the Hippo pathway-associated genes.
  • Findings revealed 62 key genes linked to prognosis, with distinct immune cell infiltration patterns between groups, suggesting potential targets for improved treatment strategies.
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  • Glioma, especially glioblastoma (GBM), is an aggressive brain tumor with a poor prognosis, and its progression is influenced by the tumor microenvironment (TME) that supports invasion and drug resistance.
  • The study analyzed various genetic data to identify malignant cell subclusters within glioma, revealing specific gene expression patterns and highlighting the role of tumor-infiltrating immune cells, particularly monocytes, in the TME.
  • A prognostic model was developed based on 15 differentially expressed immune-related genes (DE-ARGs), which categorized glioma samples into two molecular clusters, indicating a potential link between angiogenesis and immune system activation.
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Background: Renal fibrosis is a basic pathological change of almost all chronic kidney disorders. Epithelial-mesenchymal transition (EMT) and excessive extracellular matrix (ECM) accumulation play a crucial role in the process of fibrosis.

Methods: Western blot and qRT-PCR were accomplished to analyze the expression levels of target proteins and genes, respectively.

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  • Researchers found that having a messed-up immune system is linked to anxiety disorders.
  • Harmine, a natural compound from some plants, might help reduce anxiety by fighting inflammation in the brain.
  • In experiments with mice, harmine was shown to lower anxiety symptoms and fix the brain's nerve activity that got messed up by inflammation.
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Dysregulation of autophagy in cancer-associated fibroblasts (CAFs) has been demonstrated to play a role in malignant phenotypes of human tumors. We intended to investigate the function of CAFs autophagy in prostate cancer (PCa). Firstly, CAFs and normal fibroblasts (NFs) were isolated from cancerous and adjacent normal tissues of PCa patients, for the following experimental preparation.

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Purpose: Papillary renal cell carcinoma (pRCC) is the second most common histological subtype of adult kidney tumors, with a poor prognosis due to limited understanding of the disease mechanism. Herein, we have performed high-throughput bioinformatic screening to explore and identify potential biomarkers of DNA damage and oxidative stress for pRCC.

Methods: RNA sequencing data related to pRCC were downloaded from the TCGA database, and differentially expressed genes (DEG) were identified by a wide variety of clustering and classification algorithms, including self-organized maps (SOM), artificial neural networks (ANN), support vector machines (SVM), fuzzy logic, and hyphenated techniques such as neuro-fuzzy networks.

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