Publications by authors named "Bei-Chen Ding"

Bladder cancer (BC) is the most common urinary tract malignancy. Identifying biomarkers that predict prognosis and immune function in patients with BC can enhance our understanding of its pathogenesis and provide valuable guidance for diagnosis and treatment. Our findings indicate that increased ITGB1 expression is associated with higher clinical grade and stage, establishing ITGB1 as an independent prognostic risk factor for BC.

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Background: Monocytes play a critical role in tumor initiation and progression, with their impact on prostate adenocarcinoma (PRAD) not yet fully understood. This study aimed to identify key monocyte-related genes and elucidate their mechanisms in PRAD.

Method: Utilizing the TCGA-PRAD dataset, immune cell infiltration levels were assessed using CIBERSORT, and their correlation with patient prognosis was analyzed.

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Background: Prostate cancer (PCa) is the second leading cause of tumor-related mortality in men. Metastasis from advanced tumors is the primary cause of death among patients. Identifying novel and effective biomarkers is essential for understanding the mechanisms of metastasis in PCa patients and developing successful interventions.

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Background: Angiogenesis, the process of forming new blood vessels from pre-existing ones, plays a crucial role in the development and advancement of cancer. Although blocking angiogenesis has shown success in treating different types of solid tumors, its relevance in prostate adenocarcinoma (PRAD) has not been thoroughly investigated.

Method: This study utilized the WGCNA method to identify angiogenesis-related genes and assessed their diagnostic and prognostic value in patients with PRAD through cluster analysis.

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Article Synopsis
  • - The study investigates the link between smoking-related genes and the prognosis of non-small-cell lung cancer (NSCLC) and bladder urothelial carcinoma (BLCA), focusing on identifying PRR11 as a key prognostic gene in both cancers.
  • - A prognostic model based on PRR11 co-expressed genes was developed and validated, showing its influence on the effectiveness of immune checkpoint therapy by regulating PDL1 via its interaction with SPDL1.
  • - The research also highlights the role of hsa-miR-200b-3p in regulating SPDL1 expression through PRR11, emphasizing the connection between smoking-related genes, patient prognosis, and immunotherapy effectiveness.
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Article Synopsis
  • * The research found a significant link between YARS1 expression and immune cell presence in bladder cancer, utilizing methods like the XCELL algorithm and single-cell analysis, alongside evaluating patient responses to immune therapy with the TIDE algorithm.
  • * YARS1 appears to influence key processes in bladder cancer, such as senescence and ferroptosis, and could serve as a prognostic marker, with its associated ceRNA network offering potential therapeutic targets.
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Understanding the intricate relationship between prognosis, immune function, and molecular markers in bladder cancer (BC) demands sophisticated analytical methods. To identify novel biomarkers for predicting prognosis and immune function in BC patients, we combined weighted gene co-expression network analysis (WGCNA) and least absolute shrinkage and selection operator (LASSO) regression analysis. This was conducted using data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases.

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Background: The biological roles of immune-related genes (IRGs) in bladder cancer (BC) need to be further elucidated.

Objective: To elucidate the predictive value of IRGs for prognosis and immune escape in BC.

Methods: We comprehensively analyzed the transcriptomic and clinical information of 430 cases, including 19 normal and 411 BC patients from the TCGA database, and verified 165 BC cases in the GSE13507 dataset.

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Integrin αvβ3/α6β1 are crucial in the transduction of intercellular cancer information, while their roles in prostate cancer (PCa) remain poorly understood. Here, we systematically analyzed the transcriptome, single nucleotide polymorphisms (SNPs) and clinical data of 495 PCa patients from the TCGA database and verified them in 220 GEO patients, and qPCR was used to validate the expression of the model genes in our patients. First, we found that integrin αvβ3/α6β1 was negatively correlated with most immune cell infiltration and immune functions and closely associated with poor survival in TCGA patients.

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