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Evaluation of PD-L1 as a biomarker for immunotherapy for hepatocellular carcinoma: systematic review and meta-analysis.

Xueyin ZhouJiasheng CaoWin TopatanaTian-Ao XieTianen ChenJiahao HuShijie LiSarun JuengpanicZiyi LuBin ZhangKaitai WangXu FengJiliang ShenMing-Yu Chen
Published in: Immunotherapy (2023)
Aim: To determine if PD-L1 can be used as a biomarker to predict the efficacy of anti-PD-1/PD-L1 inhibitors in hepatocellular carcinoma (HCC). Methods: Relevant studies from a specific search of the four databases from October 2014 to December 2022 were included in this meta-analysis. Results: Higher PD-L1 expression levels were associated with a higher objective response rate (ORR). Higher PD-L1 expression levels on tumor cells and tumor proportion score were associated with higher ORR. PD-L1 was capable of predicting the effectiveness of nivolumab. Dako 28-8 is a promising assay for HCC. Conclusion: PD-L1 is a predictive biomarker for ORR in HCC. Tumor proportion score and PD-L1 expression levels on tumor cells are potential scoring algorithms.
Keyphrases
  • systematic review
  • randomized controlled trial
  • case control
  • high throughput
  • deep learning
  • meta analyses
  • artificial intelligence