がん免疫療法の効果を高めるための化合物優先順位付けの計算フレームワーク(Computational Framework for Prioritizing Compounds to Boost Cancer Immunotherapy Efficacy)

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2025-08-06 中国科学院(CAS)

中国科学院・上海栄養健康研究所の李宏教授と復旦大学・中山病院の胡波准教授らの研究チームは、がん免疫療法(特に免疫チェックポイント阻害療法:ICB)の効果を高める候補化合物を大規模かつ自動で特定できる新しい計算フレームワーク「IGeS-BS」を開発した。この手法は、免疫応答予測に有効な33の遺伝子シグネチャーを基に、化合物が腫瘍免疫環境に与える影響を「ブースティングスコア」として数値化。約1万種の化合物を13種のがんタイプに対して評価し、有望な併用候補を特定した。肝がんを対象とした実験では、上位化合物SB-366791とCGP-60474が抗PD-1療法への耐性を有意に改善。免疫療法の効果向上と耐性克服に向けた新薬開発に貢献する成果である。

<関連情報>

汎がん免疫療法の抵抗性を克服する候補化合物の優先順位付けのための計算フレームワーク Computational framework for prioritizing candidate compounds overcoming the resistance of pancancer immunotherapy

Fangyoumin Feng ∙ Tian He ∙ Ping Lin ∙ … ∙ Jia Fan ∙ Bo Hu ∙ Hong Li
Cell Reports Medicine  Published:August 5, 2025
DOI:https://doi.org/10.1016/j.xcrm.2025.102276

Graphical abstract

がん免疫療法の効果を高めるための化合物優先順位付けの計算フレームワーク(Computational Framework for Prioritizing Compounds to Boost Cancer Immunotherapy Efficacy)

Highlights

  • Pancancer analysis identifies consistent and predictive immunotherapy-related signatures
  • IGeS-BS is developed for prioritizing immunotherapy booster
  • IGeS-BS shows excellent performance in computational and experimental validation
  • SB-366791 and CGP-60474 boost the efficacy of immunotherapy in liver cancer

Summary

Combination therapy has emerged as an effective approach to overcome resistance to immunotherapy. However, only a small number of drugs have been identified with synergistic effects with immunotherapy. Here, we develop a computational framework (IGeS-BS) to recommend compounds that potentially overcome resistance to immunotherapy. A meta-analysis of approximately 1,000 transcriptomes from immunotherapy patients revealed 33 tumor microenvironment (TME) signatures that can robustly and accurately estimate immunotherapy responses. An immuno-boosting landscape for more than 10,000 compounds and 13 cancer types was subsequently generated on The Cancer Genome Atlas (TCGA) and The Library of Integrated Network-Based Cellular Signatures (LINCS) datasets. Furthermore, the immuno-boosting effects of several high-scoring compounds were evaluated by in vitro and in vivo experiments in hepatocellular carcinoma and other cancer types. The results showed that the two best compounds (SB-366791 and CGP-60474) significantly alleviate the resistance of hepatocellular carcinoma to anti-PD1 therapy by activating immune cells. Collectively, our research provides an efficient framework for discovering compounds that enhance immunotherapy responses.

医療・健康
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