Abstract

Liver cancer will continue to be a major disease threatening the lives and health of our people in the next few decades. In recent years, with the development of early diagnosis and treatment of liver cancer, precise liver resection, and the development of targeted and immunotherapeutic drugs, the survival rate of liver cancer patients has been improved. Nevertheless, due to the high heterogeneity of liver cancer, patients with liver cancer in the same clinical stage still have great differences in response to treatment and prognosis. New staging and classification indicators are urgently needed to facilitate accurate diagnosis and treatment of liver cancer, so as to further improve the survival rate of patients. The continuous progress and development of multi-omics technology, single-cell technology, tumor molecular visualization technology and medical artificial intelligence, etc., make the molecular classification of liver cancer more and more approaching the true nature of tumor biological characteristics, thus contributing to the accurate diagnosis and treatment of liver cancer.

Highlights

  • Liver cancer is a major disease that seriously threatens the lives and health of our people

  • The continuous progress and development of multiomics technology, single-cell technology, tumor molecular visualization technology, and medical artificial intelligence have brought the molecular classification of liver cancer closer to the true nature of tumor biological characteristics, thereby helping the implementation and health of accurate diagnosis and treatment of liver cancer China’s strategic planning

  • Further research found that: Comprehensive liver cancer immune microenvironment score (CD3, CD27, CD68, CD103, PD1) and tumor size, degree of differentiation, the prognosis model constructed by GGT is significantly better than the traditional clinical staging, and patients can be divided into high, medium, and Low-risk 3 groups [16]

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Summary

Introduction

Liver cancer is a major disease that seriously threatens the lives and health of our people. There is an urgent need for new staging and classification indicators to facilitate accurate diagnosis and treatment of liver cancer, so as to further improve the survival rate of patients. Tumor heterogeneity indicates the insufficiency of “genetic characteristics and microenvironmental information obtained from a single biopsy”, which has important theoretical value and clinical significance for studying the development history of individual liver cancer, overcoming drug resistance, and achieving individual precise treatment. The continuous progress and development of multiomics technology, single-cell technology, tumor molecular visualization technology, and medical artificial intelligence have brought the molecular classification of liver cancer closer to the true nature of tumor biological characteristics, thereby helping the implementation and health of accurate diagnosis and treatment of liver cancer China’s strategic planning

Molecular typing based on transcriptome
Molecular typing based on tumor microenvironment
Molecular typing based on proteome
Molecular typing based on metabolic characteristics
Findings
Conclusion
Full Text

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