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Abstract #1169

Establishment of a prognostic risk stratification system for HCC based on AFP-morphology

Li Huiying1 and Sun yajuan1
1Harbin Medical University Cancer Hospital, Harbin, China

Synopsis

Keywords: Cancer, biology, models, methods

Motivation: Construct a hepatocellular carcinoma prognostic stratification system based on AFP and tumor morphology to screen patients who benefit from surgery, and explore the reasons for poor prognosis in high-risk group.

Goal(s): The HCC prognosis risk stratification system based on AFP - tumor morphology can categorize patients.

Approach: Based on AFP-tumor morphology, patients were categorized and Kaplan-Meier curves plotted by survival status. High-risk and low-risk groups underwent KEGG and immune cell infiltration analyses.

Results: The AFP-based HCC risk stratification system can categorize patients. Poor prognosis in high-risk patients may be linked to abnormal cell cycle activation, and targeting it with drugs can enhance immunotherapy efficacy.

Impact: 1.The AFP-morphology-based HCC prognostic risk stratification system can categorize patients into low, medium, and high-risk groups.
2.High-risk patient prognosis may suffer due to cell cycle abnormalities. Targeting the cell cycle with drugs could boost immunotherapy efficacy and improve outcomes.

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