Microbiome meets immunotherapy: unlocking the hidden predictors of immune checkpoint inhibitors

微生物组与免疫疗法:揭开免疫检查点抑制剂的隐藏预测因子

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Abstract

Immune checkpoint inhibitors (ICIs) have revolutionized cancer immunotherapy, with the microbiome significantly influencing treatment outcomes. Analysis of 4663 studies (2014.01-2024.10) identified 71 eligible randomized controlled trials (RCTs) and cohort studies (41 viral, 30 bacterial). Analyses included subgroup assessments by cancer type, microbial taxa, and ICI regimens. Among 4663 identified studies, 71 met inclusion criteria (41 viral, 30 bacterial). Viral status, particularly hepatitis B virus (HBV) and human papillomavirus (HPV), significantly associated with ORR and DCR. Bacterial enrichment correlated with improved survival in hepatobiliary (OS: HR = 4.33, 95%CI: 2.20-8.50) and lung cancers (PFS: HR = 1.70, 95%CI: 1.04-2.78). Multi-microbiome models demonstrated superior outcome prediction, with microbial diversity correlating with improved PFS (HR = 0.64, 95%CI: 0.42-0.98). Viral status showed cancer-specific associations with SAEs. The microbiome serves as a valuable predictor of ICI outcomes. Future studies should emphasize large-scale RCTs, standardized assessment methods, and host-microbiome interactions.

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