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一种用于预测胰腺腺癌患者复发和转移的多组学机器学习框架。

A multi-omics machine learning framework in predicting the recurrence and metastasis of patients with pancreatic adenocarcinoma.

作者信息

Li Shenming, Yang Min, Ji Lei, Fan Hua

机构信息

Department of Hepatobiliary and Pancreaticosplenic Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Department of Nephrology, Essen University Hospital, University of Duisburg-Essen, Essen, Germany.

出版信息

Front Microbiol. 2022 Nov 3;13:1032623. doi: 10.3389/fmicb.2022.1032623. eCollection 2022.

DOI:10.3389/fmicb.2022.1032623
PMID:36406449
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9669652/
Abstract

Local recurrence and distant metastasis are the main causes of death in patients with pancreatic adenocarcinoma (PDAC). Microbial content in PDAC metastasis is still not well-characterized. Here, the tissue microbiome was comprehensively compared between metastatic and non-metastatic PDAC patients. We found that the pancreatic tissue microbiome of metastatic patients was significantly different from that of non-metastatic patients. Further, 10 potential bacterial biomarkers (, , and etc.) were identified by differential analysis. Meanwhile, significant differences in expression patterns across multiple omics (lncRNA, miRNA, and mRNA) of PDAC patients were found. The highest accuracy was achieved when these 10 bacterial biomarkers were used as features to predict recurrence or metastasis in PDAC patients, with an AUC of 0.815. Finally, the recurrence and metastasis in PDAC patients were associated with reduced survival and this association was potentially driven by the 10 biomarkers we identified. Our studies highlight the association between the tissue microbiome and recurrence or metastasis of pancreatic adenocarcioma patients, as well as the survival of patients.

摘要

局部复发和远处转移是胰腺腺癌(PDAC)患者死亡的主要原因。PDAC转移中的微生物成分仍未得到很好的表征。在此,对转移性和非转移性PDAC患者的组织微生物群进行了全面比较。我们发现转移性患者的胰腺组织微生物群与非转移性患者的显著不同。此外,通过差异分析鉴定出10种潜在的细菌生物标志物(……等)。同时,发现PDAC患者的多个组学(lncRNA、miRNA和mRNA)的表达模式存在显著差异。当将这10种细菌生物标志物用作预测PDAC患者复发或转移的特征时,准确率最高,AUC为0.815。最后,PDAC患者的复发和转移与生存率降低相关,这种关联可能是由我们鉴定出的10种生物标志物驱动的。我们的研究突出了组织微生物群与胰腺腺癌患者复发或转移以及患者生存率之间的关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fedc/9669652/0bc1d66899d7/fmicb-13-1032623-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fedc/9669652/91864f3193bf/fmicb-13-1032623-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fedc/9669652/0bc1d66899d7/fmicb-13-1032623-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fedc/9669652/91864f3193bf/fmicb-13-1032623-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fedc/9669652/0bc1d66899d7/fmicb-13-1032623-g002.jpg

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