Publications by authors named "A Ke"
Article Synopsis
- Single-cell technology offers a more comprehensive view of tumors by analyzing both tumor cells and their surrounding microenvironments, potentially improving diagnosis compared to traditional methods that focus solely on pathology.
- Despite its advantages, single-cell RNA sequencing (scRNA-seq) faces significant issues, including complex data structures and low signal clarity, which hinder its diagnostic use.
- The authors introduce a graph neural network framework designed for diagnosing primary liver tumors by leveraging scRNA-seq data and intercellular communication networks, demonstrating accurate differentiation between malignant and benign tumors and validating their findings with public datasets.
As a highly toxic aldehyde, acrolein is widely found in diet and environment, and can be produced endogenously, posing a serious threat to human health. Herein, we designed a novel fluorescent nanoplatform integrating carbon dots‑manganese dioxide (CDs-MnO) and glutathione (GSH) for all-in-one sensing and removal of acrolein. By converting Mn to free Mn, GSH inhibited the inner filter effect (IFE) of MnO nanosheets, and the Michael addition of acrolein with GSH inhibited the GSH-induced Mn conversion, forming an "off-on-off" fluorescence response of CDs.
View Article and Find Full Text PDFSemantic image synthesis approaches has been dominated by the modelling of Convolutional Neural Networks (CNN). Due to the limitations of local perception, their performance improvement seems to have plateaued in recent years. To tackle this issue, we propose the SC-UNet model, which is a UNet-like network fused Swin Transformer and CNN for semantic image synthesis.
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- * Radiotherapy (RT) not only damages DNA in cancer cells but also activates inflammatory signaling pathways that can reshape the immune environment, enhancing tumor control and potentially triggering immune responses in distant tumors (abscopal effects).
- * The review highlights the importance of understanding GI in cancer biology, suggesting that combining RT with immunotherapy may lead to better treatment strategies and improved patient outcomes by harnessing systemic anti-tumor immunity.
Lenvatinib is the most common multitarget receptor tyrosine kinase inhibitor for the treatment of advanced hepatocellular carcinoma (HCC). Acquired resistance to lenvatinib is one of the major factors leading to the failure of HCC treatment, but the underlying mechanism has not been fully characterized. We established lenvatinib-resistant cell lines, cell-derived xenografts (CDXs) and patient-derived xenografts (PDXs) and obtained lenvatinib-resistant HCC tumor tissues for further study.
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