Novel models for predicting individualized outcomes in patients with advanced hepatocellular carcinoma receiving immunotherapy - Summary - MDSpire

Novel models for predicting individualized outcomes in patients with advanced hepatocellular carcinoma receiving immunotherapy

  • By

  • Chao Chen

  • Yang Wang

  • Yan Zhao

  • Wenyan Cao

  • Ao Chen

  • Xiufeng Liu

  • Zhan Shi

  • Jie Shen

  • June 1, 2026

  • 0 min

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Objective:

To develop a nomogram that effectively differentiates hepatocellular carcinoma (HCC) patients for immunotherapy and categorizes their risk levels based on identified prognostic factors.

Key Findings:
  • Prognostic factors for PFS included treatment sequence, disease progression with bone or lymph node, and Child-Pugh classification.
  • Prognostic factors for OS included BCLC stage, Child-Pugh stage, ascites, ECOG PS, surgery, disease progression with lymph node, and neutrophil-to-lymphocyte ratio (NLR).
  • The PFS model had a C-index of 0.657 for both training and validation sets.
  • The OS model C-indices were 0.787 for training and 0.671 for validation cohorts.
  • Significant differences in OS and PFS were observed between low- and high-risk groups.
Interpretation:

Limitations:
  • Retrospective design may introduce selection bias.
  • Findings may not be generalizable to all HCC populations.
Conclusion:

The study presents a nomogram for prognostic stratification in HCC patients receiving immunotherapy, based on identified factors.

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