Publications by authors named "BingRui Wu"

Purpose: Sialic acid-bound immunoglobulin-like lectin 15 (Siglec15) has emerged as a novel therapeutic target in tumor immunotherapy. This study is designed to investigate the function and mechanism of Siglec15 in thyroid carcinoma (THCA).

Materials And Methods: The information on patients with THCA from TGCA and GEO database were used to analyze the expression of Siglec15 in THCA.

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The quiescent/slow-cycling state preserves the self-renewal capacity of cancer stem cells (CSCs) and leads to the therapy resistance of CSCs. The mechanisms maintaining CSCs quiescence remain largely unknown. Here, it is demonstrated that lower expression of MAN1A1 in glioma stem cell (GSC) resulted in the formation of high-mannose type N-glycan on CD133.

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Sialic acid-binding immunoglobulin-like lectin-15 (Siglec-15) has been identified as a novel potential target for cancer immunotherapy. Here, we explored the role of Siglec-15 in human hepatoma cells. In this study, we found that the expression of Siglec-15 is substantially upregulated in liver cancer tissues in comparison with the nontumor tissues.

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The tumor-initiating cell (TIC) marker CD133 promotes TIC self-renewal and tumorigenesis through the tyrosine phosphorylation of its c-terminal domain. Therefore, finding compounds that target the phosphorylation of CD133 will provide an effective method for inhibiting TICs characteristics. Here, through small molecule microarray screening, compound LDN193189 was found to bind to the c-terminus of CD133 and influenced its tyrosine phosphorylation.

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Terminal drought stress is one of the restrictive factors in rice production and is expected to upsurge under the current situation of climate change. The study evaluated the performance of 2030 rice genotypes under continuous drought stress conditions based on days to flowering (DF). The genotypes under augmented randomized complete block design were sown in May/June of 2017 and 2018 in the field with movable rainout that resulted in huge genetic diversity among the accessions.

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Calcium‑dependent activator protein for secretion 1 (CAPS1) has been reported to promote metastasis in colorectal cancer (CRC), however, the underlying mechanisms have not yet been elucidated. The present study revealed that exosomes derived from CAPS1‑overexpressing CRC cells could enhance the migration of normal colonic epithelial FHC cells. GW4869, an inhibitor of exosomes, could attenuate the migration of FHC cells.

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Heterogeneity has been demonstrated to be a predictor of treatment failure and drug resistance. Our study aimed to investigate imaging parameters, including tumor heterogeneity, as prognostic factors of response to 500 mg fulvestrant using 18F-FDG PET/CT. Twenty-seven estrogen receptor (HR)-positive/HER2-negative metastatic breast cancer patients who received 500 mg fulvestrant and underwent 18F-FDG PET/CT before treatment were retrospectively included.

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A robust and accurate gene expression signature is essential to assist oncologists to determine which subset of patients at similar Tumor-Lymph Node-Metastasis (TNM) stage has high recurrence risk and could benefit from adjuvant therapies. Here we applied a two-step supervised machine-learning method and established a 12-gene expression signature to precisely predict colon adenocarcinoma (COAD) prognosis by using COAD RNA-seq transcriptome data from The Cancer Genome Atlas (TCGA). The predictive performance of the 12-gene signature was validated with two independent gene expression microarray datasets: GSE39582 includes 566 COAD cases for the development of six molecular subtypes with distinct clinical, molecular and survival characteristics; GSE17538 is a dataset containing 232 colon cancer patients for the generation of a metastasis gene expression profile to predict recurrence and death in COAD patients.

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Light extraction of GaN-based light-emitting diodes grown on Si(111) substrate (GaN-on-Si based LEDs) is presented in this study. Three different designs of GaN-on-Si based LEDs with the lateral structure, lateral structure on mirror/Si(100) substrate, and vertical structure on mirror/Si(100) substrate were epitaxially grown by metalorganic chemical vapor deposition and fabricated using chemical lift-off and double-transfer techniques. Current-voltage, light output power, far-field radiation patterns, and electroluminescence characteristics of these three LEDs were discussed.

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This study evaluates the effect of crystallinity and point defects on time-dependent photoresponsivity and the cathodoluminescence (CL) properties of β-Ga₂O₃ epilayers. A synchrotron high-resolution X-ray technique was used to understand the crystalline structure of samples. Rutherford backscattering spectroscopy was used to determine the net chemical composition of the samples to examine the type and ratio of their possible point defects.

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High-brightness p-side up AlGaInP-based red light emitting diodes (LEDs) with dot-patterned GaAs contact layer and surface rough structure are presented in this article. Initial LED structure of p-GaP/AlGaInP/GaAs is epitaxially grown using metal organic chemical vapor deposition technique. Using novel twice transferring process, the p-GaP layer is remained at the top side as both the current spreading and-window layer.

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Synopsis of recent research by authors named "BingRui Wu"

  • - BingRui Wu's recent research primarily focuses on the role of specific glycoproteins, particularly Siglec15, in various cancer types, including thyroid and liver carcinoma, with findings indicating that Siglec15 enhances cancer cell migration by stabilizing certain proteins.
  • - The interaction of DNMT1 with high-mannose CD133 in glioma stem cells has been explored, revealing that lower expression of MAN1A1 affects the glycosylation status of CD133, maintaining the stem cells' slow-cycling state and tumorigenic potential.
  • - The studies also extend to prognostic assessments in breast cancer and colon cancer through imaging parameters and gene expression signatures, emphasizing the importance of tumor heterogeneity and molecular profiling in predicting treatment outcomes.