Publications by authors named "G T Pang"

Background: Cancer immunotherapy is an advanced therapeutic approach that harnesses the body's immune system to target and eliminate tumor cells. Traditional Chinese medicine (TCM), with a history rooted in centuries of clinical practice, plays a crucial role in enhancing immune responses, alleviating cancer-related symptoms, and reducing the risks of infections and complications in cancer patients.

Methodology: This review systematically examines the current literature on TCM-based formulations in cancer immunotherapy.

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Zn is a common heavy metal pollutant in water bodies and accounts for the largest proportion of heavy metal pollutants in many rivers entering the sea. This study investigated the growth and physiological response characteristics of Sargassum fusiforme under different divalent Zn ion concentration gradients. We observed that low concentration Zn treatment (<2 mg L) exerted no significant effect on the growth rate, photosynthesis, and nitrogen metabolism-related indicators of S.

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A high-quality optical path alignment is essential for achieving superior image quality in optical biological microscope (OBM) systems. The traditional automatic alignment methods for OBMs rely heavily on complex masker-detection techniques. This paper introduces an innovative, image-sensor-based optical path alignment approach designed for low-power objective (specifically 4×) automatic OBMs.

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Article Synopsis
  • Hepcidin, a hormone crucial for iron regulation, is shown to play a role in liver fibrosis by preventing hepatocyte apoptosis via the PERK pathway.
  • A study using CCl4-induced liver fibrosis in hepcidin knockout mice revealed that the absence of hepcidin led to more severe liver damage and increased apoptosis compared to wild-type mice.
  • Transcriptomic analysis identified that the PERK molecule is upregulated in the absence of hepcidin, suggesting its involvement in regulating cell death in liver injury, highlighting hepcidin's potential as a therapeutic target for liver fibrosis.
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Background: Preoperative prediction of human epidermal growth factor receptor 2 (HER2)-low expression using magnetic resonance imaging (MRI) can enhance the selection of clinical treatment strategies and enhance patient outcomes. Herein, we investigated the value of a neural network model constructed with multiparametric MRI in diagnosing HER2-low breast cancer.

Methods: This retrospective study involved two different centers.

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