1.Application advances, ethical dilemmas, and future directions of large language models in lung cancer diagnosis and treatment
Zhizhen REN ; Yufan XI ; Xu ZHU ; Yijie LUO ; Geting HUANG ; Junqiao SONG ; Xiuyuan XU ; Nan CHEN ; Qiang PU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(03):353-362
Lung cancer is a leading cause of cancer-related morbidity and mortality worldwide. Coupled with the substantial workload, the clinical management of lung cancer is challenged by the critical need to efficiently and accurately process increasingly complex medical information. In recent years, large language models (LLMs) technology has undergone explosive development, demonstrating unique advantages in handling complex medical data by leveraging its powerful natural language processing capabilities, and its application value in the field of lung cancer diagnosis and treatment is continuously increasing. The paper systematically analyzes that the exceptional potential of LLMs in lung cancer auxiliary diagnosis, tumor feature extraction, automatic staging, progression/outcome analysis, treatment recommendations, medical documentation generation, and patient education. However, they face critical technical and ethical challenges including inconsistent performance in complex integrated decision-making (e.g., TNM staging, personalized treatment suggestions) and "black box" opacity issues, along with dilemmas such as training data biases, model hallucinations, data privacy concerns, and cross-lingual adaptation challenges ("data colonization"). Future directions should prioritize constructing high-quality multimodal corpora specific to lung cancer, developing interpretable and compliant specialized models, and achieving seamless integration with existing clinical workflows. Through dual drivers of technological innovation and ethical standardization, LLMs should be prudently advanced for holistic lung cancer management processes, ultimately promoting efficient, standardized, and personalized diagnosis and treatment practices.
2.Research progress on pharmacological effects and mechanism of micheliolide
Jing LIN ; Junqiao MO ; Xin ZHOU ; Yan SONG ; Yongchang LI
China Pharmacy 2022;33(14):1787-1792
Micheliolide is a kind of guaiacane sesquiterpene lactone from natural plants. It distributs in the root bark of Cephalantheropsis gracilis and Michelia compressa . Modern pharmacological studies show that ,micheliolide can play an anti-tumor role by inhibiting the proliferation of tumor cells ,regulating the apoptosis of tumor cells ,inducing autophagy of tumor cells ,and inhibiting invasion and metastasis of tumor cells. It can reduce the expression of inflammatory cytokines by regulating several related signaling pathways ,such as nuclear factor κB and phosphatidylinositol-3-hydroxykinase/protein kinase B ;it can play an immunomodulatory role by restoring the expression of immune-related factors in the body ;it can play a neuroprotective effect by reducing the accumulation of amyloid β-protein and inhibiting microglial activation ;it can play a liver protective role by reducing the inflammatory response and steatosis of hepatocytes ;its nephroprotective mechanism is related to the relief of the inflammatory response by regulating multiple pathways ;the mechanisms of its cardioprotective action include alleviating the inflammatory response and reducing the level of oxidative stress ,etc. In conclusion ,micheliolide is a compound of great development value.
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