Predicting hepatocellular carcinoma outcomes and immune therapy response with ATP-dependent chromatin remodeling-related genes, highlighting MORF4L1 as a promising target
2025

Predicting Liver Cancer Outcomes with Chromatin Remodeling Genes

Sample size: 65 publication Evidence: high

Author Information

Author(s): Xu Chao, Liang Litao, Liu Guoqing, Feng Yanzhi, Xu Bin, Zhu Deming, Jia Wenbo, Wang Jinyi, Zhao Wenhu, Ling Xiangyu, Zhou Yongping

Primary Institution: The First Affiliated Hospital of Nanjing Medical University

Hypothesis

Can ATP-dependent chromatin remodeling-related genes predict outcomes and responses to immunotherapy in hepatocellular carcinoma?

Conclusion

MORF4L1 and other chromatin remodeling genes are crucial for understanding liver cancer progression and may serve as therapeutic targets.

Supporting Evidence

  • ACRRGs were found to be overexpressed in liver cancer tissues.
  • The risk prediction model effectively distinguished between high-risk and low-risk patients.
  • MORF4L1 was shown to enhance cancer stemness through the Hedgehog signaling pathway.
  • Patients with high ACRRG expression had poorer survival outcomes.
  • Machine learning algorithms were used to develop a prognostic model.
  • Experimental validation confirmed the role of MORF4L1 in liver cancer progression.
  • Immune response analyses indicated a role for ACRRGs in immune evasion.
  • Single-cell analysis revealed differentiation trajectories in liver cancer stem cells.

Takeaway

This study found that certain genes help predict how liver cancer will progress and how well patients will respond to treatment.

Methodology

The study used bioinformatics analyses and experimental validation with machine learning to develop a prognostic model based on gene expression.

Participant Demographics

Participants included patients with hepatocellular carcinoma from the First Affiliated Hospital of Nanjing Medical University.

Statistical Information

P-Value

0.0002

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/s12935-024-03629-2

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