PO.IM02.03 · 免疫学
不同的肠道微生物群落与黑色素瘤基线免疫特征、肿瘤特征和ICI预后的差异相关
Divergent gut microbial communities are linked to differences in baseline immune profiles, tumor features and ICI outcomes in melanoma
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摘要 Abstract
中文摘要
我们此前已确定肠道微生物群落组合(由Ruminococcaceae与Bacteroidaceae之比定义)与免疫检查点抑制剂(ICI)免疫治疗应答之间的联系,提示微生物组-免疫相互作用可能为患者的治疗结局做好准备。为研究这些微生物状态如何塑造基线免疫基调和抗肿瘤免疫,我们分析了这些分层患者组中的外周免疫和肿瘤内在特征。在129例接受新辅助抗PD-1/抗CTLA-4免疫治疗试验(OpACIN-neo/PRADO)的澳大利亚和荷兰III期黑色素瘤患者中,分析了治疗前粪便(微生物组;16S rRNA基因测序)和PBMC(免疫特征;质谱流式细胞术)。对肿瘤活检进行DNA/RNA测序,并评估肿瘤突变负荷(TMB)和IFN-gamma评分。按微生物群落类型对患者分层后,观察到基线外周免疫特征的明显差异。以Ruminococcaceae(Ru)为主的肠道微生物组与更高的ICI应答率相关,具有更高频率的循环记忆B细胞和T细胞亚群(CD27+ B细胞、CD8+ Tem(CD45RA-CCR7-))以及更高的ICOS+ Treg。以Bacteroidaceae(Ba)为主的患者具有更高频率的总B细胞和更为初始的免疫特征。此外,Ru为主患者的治疗前肿瘤富含参与免疫信号传导和抗原呈递的通路,而Ba为主患者的肿瘤则富含与代谢失调和细胞增殖相关的通路。在每种微生物群落类型内,应答者(R)和非应答者(NR)之间肿瘤TMB和IFN-gamma分组的分布也存在显著差异;81%的Ba-R具有高TMB,而Ru-R仅为54%;72%的Ba为主患者属于IFN-gamma低组,而Ru为主患者为48%,且所有Ba-NR均为IFN-gamma低。基因本体富集分析进一步揭示了每种微生物群落类型内与应答相关的不同生物学程序。Ru-R富集T、B和NK细胞分化及细胞毒性,而Ba-R则显示细胞外基质重塑的富集。综上所述,这表明不同的微生物群落类型与改变的基线外周免疫基调和肿瘤特征相关。此外,它提示每种微生物群落类型内的ICI应答可能以不同的预测标志物和应答机制为特征。这与在临床上最佳靶向肠道微生物组以及识别将从微生物组调节干预中获益最多的患者高度相关。
查看英文原文 English abstract
We have previously identified links between gut microbial community assemblages, defined by the ratio of Ruminococcaceae to Bacteroidaceae, and response to immune checkpoint inhibitor (ICI) immunotherapy, suggesting microbiome-immune interactions may prime patients for treatment outcomes. To investigate how these microbial states shape baseline immune tone and anti-tumor immunity we profiled peripheral immune and tumor-intrinsic features across these stratified patient groups. In 129 Australian and Dutch stage III melanoma patients treated on trial with neo-adjuvant anti-PD-1/anti-CTLA-4 immunotherapy (OpACIN-neo/PRADO), pre-treatment stool (microbiome; 16S rRNA gene sequencing) and PBMCs (immune profiles; mass cytometry) were analyzed. Tumor biopsies were subject to DNA/RNA sequencing, with tumor mutation burden (TMB) and IFN-gamma score assessed. Clear differences in baseline peripheral immune profiles were observed upon stratifying patients by microbial community types. Ruminococcaceae (Ru)-dominated gut microbiomes were associated with higher ICI response rates, had greater frequencies of circulating memory B and T cell subsets (CD27+ B cells, CD8+ Tem (CD45RA-CCR7-)) and higher ICOS+ Tregs. Bacteroidaceae (Ba)-dominated patients had higher frequencies of total B cells and a more naïve immune profile. Further, the pre-treatment tumors of Ru-dominated patients were enriched with pathways involved with immune signalling and antigen presentation while Ba-dominated patient tumors were enriched with pathways associated with dysregulated metabolism and cell proliferation. The distribution of tumor TMB and IFN-gamma groups between responders (R) and non-responders (NR) within each microbial community type was also significantly different; 81% of Ba-R had high TMB, compared to only 54% of Ru-R, and 72% of Ba-dominated patients belonged to the IFN-gamma low group compared to 48% of Ru-dominated patients, with all Ba-NR being IFN-gamma low. Gene ontology enrichment analysis further revealed distinct biological programs associated with response within each microbial community type. Ru-R were enriched for T, B and NK cell differentiation and cytotoxicity, while Ba-R showed enrichment for extracellular matrix remodelling. Together this demonstrates that different microbial community types are associated with altered baseline peripheral immune tone and tumor features. Furthermore, it suggests that ICI response within each microbial community type may be characterised by divergent predictive markers and mechanisms of response. This is highly relevant to optimally targeting the gut microbiome in the clinic and identifying patients who will benefit most from microbiome-modifying interventions.
利益披露 Disclosure
R. C. Simpson, None..
I. P. Silva, None..
J. Beckwith, None..
I. L. Reijers, None..
J. M. Versluis, None..
C. Quek, None..
A. M. Menzies, None..
G. Maria, None..
J. S. Wilmott, None..
C. U. Blank, None..
R. A. Scolyer, None..
E. R. Shanahan, None.
G. V. Long,
Agenus Other, consultant advisor.
AstraZenca Other, consultant advisor.
Bayer Other, consultant advisor.
BioNTech Other, consultant advisor.
Boehringer Ingelheim Other, consultant advisor.
Bristol Myers Squibb Other, consultant advisor.
Evaxion Other, consultant advisor.
Fortiva Biologics Other, consultant advisor.
GI Innovation Other, consultant advisor.
Highlight Therapeutics Other, consultant advisor.
Immunocore Other, consultant advisor.
Innovent Biologics USA Other, consultant advisor.
IOBiotech Other, consultant advisor.
Iovance Biotherapeutics Other, consultant advisor.
MSD Other, consultant advisor.
Novartis Other, consultant advisor.
Pierre Fabre Other, consultant advisor.
Regeneron Other, consultant advisor.
SkylineDX B. V. Other, consultant advisor.
Scancell Other, consultant advisor.