肝細胞癌再発予測システムを中国の研究者が開発 (Chinese Researchers Develop System for Predicting Hepatocellular Carcinoma Recurrence)

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2025-03-13 中国科学院(CAS)

中国科学技術大学の研究チームは、肝細胞癌(HCC)の再発リスクを評価する新しい空間的免疫ベースの予測システム「TIMES」を開発した。TIMESスコアは、腫瘍免疫微小環境(TIME)内の免疫細胞の空間分布を分析し、XGBoost機械学習アルゴリズムを用いて訓練された。SPON2を含む5つのバイオマーカーの発現プロファイルに基づき、82.2%の精度で再発リスクを予測。SPON2陽性NK細胞はCD8+ Tリンパ球の活性化を促進し、免疫療法の新たな標的となる可能性が示唆された。研究者はTIMESスコアを提供するオンラインツールも開発し、臨床応用が期待される。

<関連情報>

空間免疫スコアリングシステムは肝細胞癌の再発を予測する Spatial immune scoring system predicts hepatocellular carcinoma recurrence

Gengjie Jia,Peiqi He,Tianli Dai,Denise Goh,Jiabei Wang,Mengyuan Sun,Felicia Wee,Fuling Li,Jeffrey Chun Tatt Lim,Shuxia Hao,Yao Liu,Tony Kiat Hon Lim,Nye-Thane Ngo,Qingping Tao,Wei Wang,Ahitsham Umar,Björn Nashan,Yongchang Zhang,Chen Ding,Joe Yeong,Lianxin Liu & Cheng Sun
Nature  Published:12 March 2025
DOI:https://doi.org/10.1038/s41586-025-08668-x

肝細胞癌再発予測システムを中国の研究者が開発 (Chinese Researchers Develop System for Predicting Hepatocellular Carcinoma Recurrence)

Abstract

Given the high recurrence rates of hepatocellular carcinoma (HCC) post-resection, improved early identification of patients at high risk for post-resection recurrence would help to improve patient outcomes and prioritize healthcare resources. Here we observed a spatial and HCC recurrence-associated distribution of natural killer (NK) cells in the invasive front and tumour centre from 61 patients. Using extreme gradient boosting and inverse-variance weighting, we developed the tumour immune microenvironment spatial (TIMES) score based on the spatial expression patterns of five biomarkers (SPON2, ZFP36L2, ZFP36, VIM and HLA-DRB1) to predict HCC recurrence risk. The TIMES score (hazard ratio = 88.2, P < 0.001) outperformed current standard tools for patient risk stratification including the TNM and BCLC systems. We validated the model in 231 patients from five multicentred cohorts, achieving a real-world accuracy of 82.2% and specificity of 85.7%. The predictive power of these biomarkers emerged through the integration of their spatial distributions, rather than individual marker expression levels alone. In vivo models, including NK cell-specific Spon2-knockout mice, revealed that SPON2 enhances IFNγ secretion and NK cell infiltration at the invasive front. Our study introduces TIMES, a publicly accessible tool for predicting HCC recurrence risk, offering insights into its potential to inform treatment decisions for early-stage HCC.

医療・健康
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