Optimal surveillance program for hepatocellular carcinoma - getting ready, but not yet

Area of Science:

• Hepatology
• Oncology
• Genomics

Background:

• Hepatocellular carcinoma (HCC) is a significant health issue in Asian-Pacific regions, primarily due to chronic hepatitis B and C infections.
• Current HCC surveillance strategies are recommended for at-risk individuals, but tumor recurrence remains a challenge, leading to long-term mortality.
• Effective HCC surveillance requires accurate tumor biomarkers and optimized surveillance intervals for improved patient management.

Purpose of the Study:

• To evaluate novel biomarkers and risk stratification methods for hepatocellular carcinoma (HCC) surveillance.
• To address the limitations of current HCC surveillance tools, including serum alpha-fetoprotein (AFP).
• To explore personalized approaches for determining optimal HCC surveillance intervals.

Main Methods:

• Review of current HCC surveillance practices and biomarkers, including serum alpha-fetoprotein (AFP), AFP-L3, and des-gamma carboxyprothrombin.
• Analysis of a recent study utilizing plasma DNA bisulfite sequencing for cancer-associated genome-wide hypomethylation and copy number aberrations.
• Discussion of the utility of validated HCC risk scores for prognostication and surveillance decision-making.

Main Results:

• Serum alpha-fetoprotein (AFP) lacks sufficient sensitivity and specificity for reliable HCC surveillance.
• Plasma DNA bisulfite sequencing demonstrated high accuracy (close to 90% sensitivity and specificity) in detecting HCC in a case-control study.
• The study suggests that a personalized approach, informed by risk prediction, is necessary for determining optimal HCC surveillance intervals.

Conclusions:

• Novel biomarkers, such as those detected through plasma DNA analysis, hold significant potential for improving HCC detection accuracy.
• A "one-size-fits-all" approach to HCC surveillance intervals is inadequate; risk stratification is crucial.
• Further validation of these key components in real-world surveillance settings is essential for optimizing HCC management.