时间标签：数据日期 2026-11-05 · 生成时间 2026-11-05 05:30（Asia/Shanghai）｜ 检索窗口 PubMed edat 2026/11/02 – 2026/11/06 ｜ 情报发生日期 2026-11-05
研究问题
In contrast, responders showed significantly lower intakes of fat (29.6 versus 46.4 g; P = 0.021), monounsaturated fatty acids (8.1 versus 14.7 g; P = 0.040), polyunsaturated fatty acids (6.0 versus 12.9 g; P = 0.009), omega-3 fatty acids (0.8 versus 1.6 g; P = 0.021), and omega-6 fatty acids (5.5 versus 11.8 g; P = 0.009) in the monotherapy group.Identifying response-associated microbial featuresWe first assessed whether overall gut microbial composition differed between responders and non-responders by analyzing taxonomic profiles from screening stool samples (Fig. 1A).；P values above the plots were calculated using the Wilcoxon rank-sum test or Fisher’s exact testTo assess whether overall gut microbiome composition differed between treatment groups, we performed PCoA based on Bray–Curtis dissimilarity at the genus level (Additional file 1: Fig.；S5).Next, we investigated Faecalibacterium and Lactobacillus at baseline stool samples, given their contrasting associations with clinical outcomes.
方法
BackgroundImmune checkpoint inhibitors (ICIs) have revolutionized treatment paradigm in various solid tumors, yet only a subset of patients achieves durable benefit [1].；Associations between the gut microbiome and the efficacy of ICI were first reported in mouse models in 2015 [2, 3] and later identified in patients in 2018 [4–6].；These studies demonstrated that fecal microbiota transplantation (FMT) from ICI responders into germ-free mice improved tumor control [4–6].
核心结论
These studies demonstrated that fecal microbiota transplantation (FMT) from ICI responders into germ-free mice improved tumor control [4–6].；We found that the acetate-to-butyrate biosynthesis cluster was predominantly found in butyrate-producing bacteria such as Faecalibacterium, Agathobacter, Roseburia, Gemmiger, and Anaerostipes (Additional file 2: Table S4).；S26A), these results suggest that the bacterial ratio score explains a distinct aspect of response to ICI, which is independent of TMB.
局限
C Proportion of responders in each group stratified by combined TMB and the bacterial ratio scoreWe also calculated several transcriptomic scores previously linked to ICI outcomes, including IFNG [53], expanded IFNG [53], IMPRES [54], IPS [55], TIDE [56], and TLS [57]; however, none of these scores exceeded AUC values of 0.6 (Additional file 2: Table S12).We compared features from flow cytometry and cytokine assays between responders and non-responders (Fig. 5A).；However, this previous study did not assess the relationship between probiotic use and the abundance of probiotic bacteria.；Incorporating these additional microbial features may further improve response classification.The differential patterns observed between monotherapy and combination groups warrant further exploration.
对本项目的价值
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全文来源
PubMed PMC JATS（正文 65,285 字符，题名指纹 0.88，已过 PubMed PMCID 官方关联 + 题名指纹 + 正文长度归属校验）
原文题录
- 中文题名：宿主与微生物签名对晚期非小细胞肺癌免疫治疗应答的整合分层
- 英文标题：Integrative stratification of response to immunotherapy using host and microbial signatures in patients with advanced non-small cell lung cancer.
- 期刊与标识：Genome medicine · PMID 42972584 · DOI 10.1186/s13073-026-01736-5 · PMC PMC13729566