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2
Airway Microbiota Is Associated with Upregulation of the PI3K Pathway in Lung Cancer.气道微生物群与肺癌中 PI3K 通路的上调有关。
Am J Respir Crit Care Med. 2018 Nov 1;198(9):1188-1198. doi: 10.1164/rccm.201710-2118OC.
3
A highly adaptive microbiome-based association test for survival traits.基于高度适应的微生物组的生存性状关联分析。
BMC Genomics. 2018 Mar 20;19(1):210. doi: 10.1186/s12864-018-4599-8.
4
Interplay between the lung microbiome and lung cancer.肺部微生物组与肺癌的相互作用。
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Difference of lower airway microbiome in bilateral protected specimen brush between lung cancer patients with unilateral lobar masses and control subjects.肺癌单侧肺叶肿块患者与对照者双侧保护性标本毛刷下呼吸道微生物组的差异。
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Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns.Deblur能快速解析单核苷酸群落序列模式。
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8
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MiRKAT-S: a community-level test of association between the microbiota and survival times.MiRKAT-S:群落水平的微生物组与生存时间关联的检验。
Microbiome. 2017 Feb 8;5(1):17. doi: 10.1186/s40168-017-0239-9.
10
Cancer Statistics, 2017.《2017 年癌症统计》
CA Cancer J Clin. 2017 Jan;67(1):7-30. doi: 10.3322/caac.21387. Epub 2017 Jan 5.

肺癌组织中的微生物组与无复发生存。

The Microbiome in Lung Cancer Tissue and Recurrence-Free Survival.

机构信息

Department of Population Health, NYU School of Medicine, New York, New York.

NYU Perlmutter Cancer Center, New York, New York.

出版信息

Cancer Epidemiol Biomarkers Prev. 2019 Apr;28(4):731-740. doi: 10.1158/1055-9965.EPI-18-0966. Epub 2019 Feb 7.

DOI:10.1158/1055-9965.EPI-18-0966
PMID:30733306
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6449216/
Abstract

BACKGROUND

Human microbiota have many functions that could contribute to cancer initiation and/or progression at local sites, yet the relation of the lung microbiota to lung cancer prognosis has not been studied.

METHODS

In a pilot study, 16S rRNA gene sequencing was performed on paired lung tumor and remote normal samples from the same lobe/segment in 19 patients with non-small cell lung cancer (NSCLC). We explored associations of tumor or normal tissue microbiome diversity and composition with recurrence-free (RFS) and disease-free survival (DFS), and compared microbiome diversity and composition between paired tumor and normal samples.

RESULTS

Higher richness and diversity in normal tissue were associated with reduced RFS (richness = 0.08, Shannon index = 0.03) and DFS (richness = 0.03, Shannon index = 0.02), as was normal tissue overall microbiome composition (Bray-Curtis = 0.09 for RFS and = 0.02 for DFS). In normal tissue, greater abundance of family Koribacteraceae was associated with increased RFS and DFS, whereas greater abundance of families Bacteroidaceae, Lachnospiraceae, and Ruminococcaceae were associated with reduced RFS or DFS ( < 0.05). Tumor tissue diversity and overall composition were not associated with RFS or DFS. Tumor tissue had lower richness and diversity ( ≤ 0.0001) than paired normal tissue, though overall microbiome composition did not differ between the paired samples.

CONCLUSIONS

We demonstrate, for the first time, a potential relationship between the normal lung microbiota and lung cancer prognosis, which requires confirmation in a larger study.

IMPACT

Definition of bacterial biomarkers of prognosis may lead to improved survival outcomes for patients with lung cancer.

摘要

背景

人体微生物群具有许多功能,这些功能可能有助于局部起始和/或促进癌症进展,但肺部微生物群与肺癌预后的关系尚未得到研究。

方法

在一项初步研究中,对 19 名非小细胞肺癌(NSCLC)患者同一叶/段的配对肺肿瘤和远处正常样本进行了 16S rRNA 基因测序。我们探讨了肿瘤或正常组织微生物组多样性和组成与无复发生存(RFS)和无病生存(DFS)的关系,并比较了配对肿瘤和正常样本之间的微生物组多样性和组成。

结果

正常组织的丰富度和多样性较高与 RFS(丰富度=0.08,Shannon 指数=0.03)和 DFS(丰富度=0.03,Shannon 指数=0.02)降低相关,正常组织的整体微生物组组成也是如此(RFS 的 Bray-Curtis=0.09,DFS 的=0.02)。在正常组织中,Koribacteraceae 科的丰度增加与 RFS 和 DFS 增加相关,而 Bacteroidaceae、Lachnospiraceae 和 Ruminococcaceae 科的丰度增加与 RFS 或 DFS 降低相关(<0.05)。肿瘤组织的多样性和整体组成与 RFS 或 DFS 无关。肿瘤组织的丰富度和多样性低于配对的正常组织(≤0.0001),尽管配对样本之间的整体微生物组组成没有差异。

结论

我们首次证明了正常肺部微生物群与肺癌预后之间存在潜在关系,这需要在更大的研究中得到证实。

影响

定义预后的细菌生物标志物可能会提高肺癌患者的生存结果。