Pinpointing the integration of artificial intelligence in liver cancer immune microenvironment

Front Immunol. 2024 Dec 20:15:1520398. doi: 10.3389/fimmu.2024.1520398. eCollection 2024.

Abstract

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.

Keywords: ScRNA-seq; artificial intelligence; immune microenvironment; liver cancer; machine learning.

Publication types

  • Review

MeSH terms

  • Animals
  • Artificial Intelligence*
  • Biomarkers, Tumor
  • Humans
  • Liver Neoplasms* / immunology
  • Liver Neoplasms* / pathology
  • Prognosis
  • Tumor Microenvironment* / immunology

Substances

  • Biomarkers, Tumor

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This project was supported by Research Fund for the Doctoral program of the Fifth Affiliated Hospital of Zhengzhou University (pb2024kyqdj03), Supporting Program for Young Talent Innovation Teams of Zhengzhou University (32320688), Henan Medical Key Technologies R & D Program (LHGJ20220570).