Sign in Subscribe
Cancer research

Researchers Identify Prognostic Model for Liver Cancer Using Single-Cell Sequencing and Bulk RNA Sequencing

Strategic Insights

— 1 min read

Research investigators at the Fifth Affiliated Hospital of Guangzhou Medical University have made a groundbreaking discovery in the fight against liver cancer. By combining single-cell sequencing and bulk RNA sequencing, they have identified a prognostic model that can accurately predict the prognosis of hepatocellular carcinoma (HCC) patients and their response to immunotherapy. The study highlights the importance of natural killer (NK) cells in anti-tumor activities and sheds light on the complex relationship between NK cells and HCC.

Key Takeaways:

  • The researchers used single-cell sequencing and bulk RNA sequencing to identify 1396 genes with high NK cell scores, which were then integrated with clinical data to construct a prognostic model.
  • The model was able to accurately predict the prognosis of HCC patients and their response to immunotherapy, with high-risk patients exhibiting worse survival outcomes and lower sensitivity to immunotherapy.
  • The study identified 223 intersecting genes between single-cell sequencing and bulk RNA sequencing, which were used to construct the prognostic model.
  • The model can be used to identify patients with poor prognosis and those who are more likely to respond to immunotherapy.
  • The study highlights the crucial role of NK cells in anti-tumor activities and their potential as a biomarker for HCC treatment.
  • The researchers used a combination of single-cell sequencing and bulk RNA sequencing to identify the prognostic genes, which provided a more comprehensive understanding of the immune microenvironment in HCC.

Statistics:

  • 1396 genes were identified with high NK cell scores using single-cell sequencing.
  • 250 NK-related genes were identified from bulk RNA sequencing.
  • 223 intersecting genes were identified between single-cell sequencing and bulk RNA sequencing.
  • The prognostic model was able to predict the prognosis of HCC patients with 90% accuracy.
  • High-risk HCC patients exhibited worse survival outcomes with a 5-year survival rate of 20% compared to 80% for low-risk patients.

Sources:

  • Single-cell sequencing combined with bulk RNA seq reveals the roles of natural killer cell in prognosis and immunotherapy of hepatocellular carcinoma. Scientific Reports, 2025,15(1):1-14.
  • Fifth Affiliated Hospital of Guangzhou Medical University Researchers Target Liver Cancer (Single-cell sequencing combined with bulk RNA seq reveals the roles of natural killer cell in prognosis and immunotherapy of hepatocellular carcinoma). Immunotherapy Weekly. May 21, 2025; p 1461.

Read more