Publications by authors named "Bufeng Zhuang"

This paper presents an innovative framework for the automated diagnosis of gastric cancer using artificial intelligence. The proposed approach utilizes a customized deep learning model called MobileNetV2, which is optimized using a Dynamic variant of the Pelican Optimization Algorithm (DPOA). By combining these advanced techniques, it is feasible to achieve highly accurate results when applied to a dataset of endoscopic gastric images.

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Article Synopsis
  • The study explored how TGF-β1, USP7, and YAP contribute to ferroptosis, a form of cell death, in the context of sepsis-induced acute lung injury.
  • Findings revealed that TGF-β1 worsened ferroptosis in both cell cultures and animal models, while YAP was found to enhance the activity of protective genes like GPX4 and SLC7A11.
  • The research proposed a novel regulatory pathway involving TGF-β1, USP7, LATS1/2, and YAP, suggesting potential therapeutic targets for treating sepsis-related lung damage.
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Following the publication of this paper, it was drawn to the Editors' attention by a concerned reader that certain of the data shown for the cell invasion assays in Figs. 4D and 5D were strikingly similar to data appearing in different form in other articles by different authors. Owing to the fact that the contentious data in the above article had already been published elsewhere, or were already under consideration for publication, prior to its submission to , the Editor has decided that this paper should be retracted from the Journal.

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Background: Circular RNAs (circRNAs) are considered to be important regulators in cancer biology. In this study, we focused on the effect of circRNA baculoviral inhibitor of apoptosis protein (IAP) repeat containing 6 (circBIRC6) on non-small cell lung cancer (NSCLC) progression.

Methods: The NSCLC and adjacent non-tumor tissues were collected at Shanghai Ninth People's Hospital.

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MicroRNA (miRNA/miR)‑92a has been identified as being significantly downregulated in non‑small cell lung cancer (NSCLC) tissues using a miRNA array. However, its biological function and molecular mechanisms in NSCLC have not been fully elucidated. The aim of the present study was to determine the role of miR‑92a in NSCLC and the mechanisms by which it affects NSCLC cells.

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Dysregulated microRNAs (miRNAs/miRs) directly modulate the biological functions of non‑small cell lung cancer (NSCLC) cells and contribute to the initiation and progression of NSCLC; however, the specific roles and underlying mechanisms of the dysregulated miRNAs in NSCLC require further investigation. The present study reported that miRNA‑629‑5p (miR‑629) was upregulated in NSCLC tissues and cell lines. High miR‑629 expression levels were significantly associated with tumour size, clinical stage and lymph node metastasis in patients with NSCLC.

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Lung cancer is the leading cause of cancer death worldwide. Small-cell lung cancer (SCLC) is an aggressive type of lung cancer that shows an overall 5-year survival rate below 10%. Although chemotherapy using cisplatin has been proven effective in SCLC treatment, conventional dose of cisplatin causes adverse side effects.

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