Bukhari Ihtisham, Li Mengxue, Li Guangyuan, Xu Jixuan, Zheng Pengyuan, Chu Xiufeng
Department of Oncology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Marshall B. J. Medical Research Center, Zhengzhou University, Zhengzhou, Henan, China.
Front Immunol. 2024 Dec 20;15:1520398. doi: 10.3389/fimmu.2024.1520398. eCollection 2024.
Liver cancer remains one of the most formidable challenges in modern medicine, characterized by its high incidence and mortality rate. Emerging evidence underscores the critical roles of the immune microenvironment in tumor initiation, development, prognosis, and therapeutic responsiveness. However, the composition of the immune microenvironment of liver cancer (LC-IME) and its association with clinicopathological significance remain unelucidated. In this review, we present the recent developments related to the use of artificial intelligence (AI) for studying the immune microenvironment of liver cancer, focusing on the deciphering of complex high-throughput data. Additionally, we discussed the current challenges of data harmonization and algorithm interpretability for studying LC-IME.
肝癌仍然是现代医学中最严峻的挑战之一，其发病率和死亡率都很高。新出现的证据强调了免疫微环境在肿瘤发生、发展、预后和治疗反应性中的关键作用。然而，肝癌免疫微环境（LC-IME）的组成及其与临床病理意义的关联仍不清楚。在这篇综述中，我们介绍了利用人工智能（AI）研究肝癌免疫微环境的最新进展，重点是对复杂高通量数据的解读。此外，我们还讨论了研究LC-IME时数据协调和算法可解释性方面的当前挑战。
