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基因工程小鼠和人类胰腺导管腺癌中肠道和肿瘤内微生物群落特征的动态变化

Dynamics of intestinal and intratumoral microbiome signatures in genetically engineered mice and human pancreatic ductal adenocarcinoma.

作者信息

Pfisterer Nina, Ammer-Herrmenau Christoph, Antweiler Kai, Küffer Stefan, Ellenrieder Volker, Neesse Albrecht

机构信息

Department of Gastroenterology, Gastrointestinal Oncology and Endocrinology, University Medical Center Goettingen, 37075, Goettingen, Germany; Clinical Research Unit KFO5002, University Medical Center Goettingen, 37075, Goettingen, Germany.

Institute of Medical Statistics, University Medical Center Goettingen, 37073, Goettingen, Germany.

出版信息

Pancreatology. 2023 Sep;23(6):663-673. doi: 10.1016/j.pan.2023.07.008. Epub 2023 Jul 31.

Abstract

BACKGROUND

Emerging evidence has recently revealed a prominent role of the microbiome in pancreatic ductal adenocarcinoma (PDAC). However, while most observations were made in patients, mouse models still require a precise characterization of their disease-related microbiome to employ them for mechanistic and interventional preclinical studies.

METHODS

To investigate the fecal and tumoral microbiome of LSL-Kras;LSL-Trp53;Pdx-1-Cre (KPC) and control (CTRL) mice, Oxford Nanopore sequencing was applied. Feces were collected from 10 KPC mice and 10 CTRLs at 3 timepoints (6 weeks, 12 weeks, and when tumor-bearing (KPC) or 6 months (CTRL), respectively). Metagenomic sequencing was performed on feces DNA. KPC tumor and healthy pancreas DNA samples were subjected to 16S rRNA gene sequencing. Bacterial marker components were detected in KPC tumor tissue over time by fluorescence in situ hybridization (FISH) and immunohistochemistry (IHC).

RESULTS

Murine fecal samples showed a significantly different microbiome compared to age-matched healthy CTRLs regarding beta diversity (p = 0.001, R2 = 0.2-0.25 for Bray-Curtis). Adjusted human PDAC classifiers predicted disease status from feces of KPC mice achieving area under the receiver operating characteristic (AUROC) values of 80%. Furthermore, KPC tumors harbored significantly more bacterial components than healthy pancreas. Also the microbial composition differs significantly between KPC tumors and healthy pancreas tissue (p = 0.042 for Bray-Curtis). Microbiota found highly abundant in human PDAC samples were considerably more abundant in KPC tumors as compared to healthy pancreas samples (p-value <0.001).

CONCLUSION

KPC fecal samples show similarities with the microbial composition of stool samples from human PDAC patients.

摘要

背景

最近新出现的证据表明微生物群在胰腺导管腺癌(PDAC)中发挥着重要作用。然而,虽然大多数观察是在患者中进行的,但小鼠模型仍需要对其与疾病相关的微生物群进行精确表征,以便用于机制和干预性临床前研究。

方法

为了研究LSL-Kras;LSL-Trp53;Pdx-1-Cre(KPC)小鼠和对照(CTRL)小鼠的粪便和肿瘤微生物群,采用了牛津纳米孔测序技术。分别在3个时间点(6周、12周以及KPC小鼠出现肿瘤时或CTRL小鼠6个月时)从10只KPC小鼠和10只CTRL小鼠收集粪便。对粪便DNA进行宏基因组测序。对KPC肿瘤和健康胰腺DNA样本进行16S rRNA基因测序。通过荧光原位杂交(FISH)和免疫组织化学(IHC)随时间检测KPC肿瘤组织中的细菌标记成分。

结果

与年龄匹配的健康CTRL小鼠相比,小鼠粪便样本在β多样性方面显示出显著不同的微生物群(p = 0.001,Bray-Curtis法的R2 = 0.2 - 0.25)。经过调整的人类PDAC分类器可根据KPC小鼠的粪便预测疾病状态,受试者操作特征曲线下面积(AUROC)值达到80%。此外,KPC肿瘤中含有的细菌成分明显多于健康胰腺。KPC肿瘤与健康胰腺组织之间的微生物组成也存在显著差异(Bray-Curtis法的p = 0.042)。与健康胰腺样本相比,在人类PDAC样本中发现高度丰富的微生物群在KPC肿瘤中更为丰富(p值<0.001)。

结论

KPC粪便样本与人类PDAC患者粪便样本的微生物组成相似。

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