Publications by authors named "Cheng-Yun Lee"
Article Synopsis
- This study analyzed immune responses in patients with nasopharyngeal carcinoma (NPC) by profiling immune cell types using flow cytometry and machine learning techniques.
- It found that NPC patients exhibited higher levels of several immune cell types, indicating a compromised immune response compared to healthy controls.
- The research highlights specific immune cells, like monocytes and PD-1 T cells, as key players in distinguishing NPC patients from healthy individuals, which could aid in developing new immunotherapy treatments for the disease.
Immune checkpoint inhibitors (ICI) have been applied in treating advanced hepatocellular carcinoma (aHCC) patients, but few patients exhibit stable and lasting responses. Moreover, identifying aHCC patients suitable for ICI treatment is still challenged. This study aimed to evaluate whether dissecting peripheral immune cell subsets by Mann-Whitney U test and artificial intelligence (AI) algorithms could serve as predictive biomarkers of nivolumab treatment for aHCC.
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