Gambichler Thilo, Weyer-Fahlbusch Sera S, Overbeck Jan, Abu Rached Nessr, Becker Jürgen C, Susok Laura
Skin Cancer Center, Department of Dermatology, Ruhr-University Bochum, 44791 Bochum, Germany.
Department of Dermatology, Klinikum Dortmund gGmbH, University Witten/Herdecke, 44137 Dortmund, Germany.
Cancers (Basel). 2025 Jun 3;17(11):1872. doi: 10.3390/cancers17111872.
The gut microbiome plays a pivotal role in shaping systemic immunity and modulating anti-tumor responses. Preclinical and clinical studies have shown that higher gut microbial diversity and the presence of specific commensal taxa correlate with improved responses to immune checkpoint inhibitors (ICI) in melanoma. Conversely, broad-spectrum antibiotics can induce dysbiosis, reducing T cell activation and cytokine production, and have been linked to diminished ICI efficacy in several cancer types. We conducted a systematic review and meta-analysis of seven retrospective cohorts (total n = 5213) comparing overall survival in cutaneous melanoma (CM) patients who did or did not receive systemic antibiotics within six weeks before ICI initiation. From each study, we extracted hazard ratios (HRs) for death, antibiotic-to-ICI interval, ICI regimen (PD-1 monotherapy vs. PD-1 + CTLA-4 combination), cohort size, and country. Pooled log-HRs were estimated under fixed-effect and random-effects (REML) models. Statistical heterogeneity was quantified by Cochran's Q and I statistics, and τ. We performed leave-one-out sensitivity analyses, generated a Baujat plot to identify influential studies, applied trim-and-fill to assess publication bias, and ran meta-regressions for regimen, antibiotic timing, sample size, and geography. Under the fixed-effect model, antibiotic exposure corresponded to a pooled HR of 1.26 (95% CI 1.13-1.41; < 0.001). The random-effects model yielded a pooled HR of 1.55 (95% CI 1.21-1.98; = 0.0005) with substantial heterogeneity (Q = 25.1; I = 76%). Prediction intervals (0.78-3.06) underscored between-study variability. Leave-one-out analyses produced HRs from 1.50 to 1.75, confirming robustness, and the Baujat plot highlighted two cohorts as primary heterogeneity drivers. Trim-and-fill adjusted the HR to 1.46 (95% CI 1.08-1.97). In subgroup analyses, combination therapy studies (k = 4) showed a pooled HR of ~1.9 (I = 58%) versus ~1.3 (I = 79%) for monotherapy. Meta-regression attributed the largest variance to the regimen (R = 32%; β(monotherapy) = -0.35; = 0.13). Pre-ICI antibiotic use in CM is consistently associated with a 26-55% increase in mortality risk, particularly with PD-1 + CTLA-4 combinations, reinforcing the mechanistic link between microbiome integrity and ICI success. Looking ahead, integrating prospective microbiome profiling into clinical trials will be critical to personalize ICI therapy, clarify causality, and identify microbial biomarkers for optimal treatment selection. Prospective, microbiome-integrated trials promise to refine melanoma immunotherapy by tailoring antibiotic stewardship and microbial interventions to enhance patient outcomes.
肠道微生物群落在塑造全身免疫和调节抗肿瘤反应中起着关键作用。临床前和临床研究表明,更高的肠道微生物多样性以及特定共生菌属的存在与黑色素瘤患者对免疫检查点抑制剂(ICI)的反应改善相关。相反,广谱抗生素可导致生态失调,减少T细胞活化和细胞因子产生,并与几种癌症类型中ICI疗效降低有关。我们对七个回顾性队列(共n = 5213)进行了系统评价和荟萃分析,比较了在开始ICI治疗前六周内接受或未接受全身抗生素治疗的皮肤黑色素瘤(CM)患者的总生存期。我们从每项研究中提取了死亡风险比(HRs)、抗生素与ICI的间隔时间、ICI治疗方案(PD - 1单药治疗与PD - 1 + CTLA - 4联合治疗)、队列规模和国家。在固定效应和随机效应(REML)模型下估计合并对数HRs。通过Cochran's Q和I统计量以及τ量化统计异质性。我们进行了留一法敏感性分析,生成Baujat图以识别有影响力的研究,应用修剪填充法评估发表偏倚,并对治疗方案、抗生素使用时间、样本量和地理位置进行了荟萃回归分析。在固定效应模型下,抗生素暴露对应的合并HR为1.26(95% CI 1.13 - 1.41;P < 0.001)。随机效应模型得出的合并HR为1.55(95% CI 1.21 - 1.98;P = 0.0005),存在显著异质性(Q = 25.1;I = 76%)。预测区间(0.78 - 3.06)强调了研究间的变异性。留一法分析得出的HR在1.50至1.75之间,证实了结果的稳健性,Baujat图突出了两个队列是主要的异质性驱动因素。修剪填充法将HR调整为1.46(95% CI 1.08 - 1.97)。在亚组分析中,联合治疗研究(k = 4)显示合并HR约为1.9(I = 58%),而单药治疗约为1.3(I = 79%)。荟萃回归分析将最大的方差归因于治疗方案(R = 32%;β(单药治疗) = - 0.35;P = 0.13)。CM患者在ICI治疗前使用抗生素始终与死亡风险增加26% - 55%相关,特别是在PD - 1 + CTLA - 4联合治疗中,这加强了微生物群完整性与ICI治疗成功之间的机制联系。展望未来,将前瞻性微生物群分析纳入临床试验对于个性化ICI治疗、阐明因果关系以及识别用于最佳治疗选择的微生物生物标志物至关重要。前瞻性的、整合微生物群的试验有望通过调整抗生素管理和微生物干预来优化黑色素瘤免疫治疗,从而改善患者预后。