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本文引用的文献

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Microbiome analyses of blood and tissues suggest cancer diagnostic approach.血液和组织的微生物组分析提示癌症诊断方法。
Nature. 2020 Mar;579(7800):567-574. doi: 10.1038/s41586-020-2095-1. Epub 2020 Mar 11.
2
Deep microbial analysis of multiple placentas shows no evidence for a placental microbiome.多份胎盘的深度微生物分析均未发现胎盘微生物组的证据。
BJOG. 2020 Jan;127(2):159-169. doi: 10.1111/1471-0528.15896. Epub 2019 Aug 24.
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Human placenta has no microbiome but can contain potential pathogens.人类胎盘没有微生物组,但可能含有潜在的病原体。
Nature. 2019 Aug;572(7769):329-334. doi: 10.1038/s41586-019-1451-5. Epub 2019 Jul 31.
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Laboratory contamination over time during low-biomass sample analysis.随着时间推移,在低生物量样本分析中,实验室污染。
Mol Ecol Resour. 2019 Jul;19(4):982-996. doi: 10.1111/1755-0998.13011. Epub 2019 Apr 29.
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The microbiome, cancer, and cancer therapy.微生物组、癌症与癌症治疗。
Nat Med. 2019 Mar;25(3):377-388. doi: 10.1038/s41591-019-0377-7. Epub 2019 Mar 6.
6
The Microbiome in Lung Cancer Tissue and Recurrence-Free Survival.肺癌组织中的微生物组与无复发生存。
Cancer Epidemiol Biomarkers Prev. 2019 Apr;28(4):731-740. doi: 10.1158/1055-9965.EPI-18-0966. Epub 2019 Feb 7.
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Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data.简单的统计鉴定和去除标记基因和宏基因组数据中的污染物序列。
Microbiome. 2018 Dec 17;6(1):226. doi: 10.1186/s40168-018-0605-2.
8
Contamination in Low Microbial Biomass Microbiome Studies: Issues and Recommendations.低微生物生物量微生物组研究中的污染问题:问题与建议。
Trends Microbiol. 2019 Feb;27(2):105-117. doi: 10.1016/j.tim.2018.11.003. Epub 2018 Nov 26.
9
Characterization of human breast tissue microbiota from core needle biopsies through the analysis of multi hypervariable 16S-rRNA gene regions.通过分析多个高变区 16S-rRNA 基因区域对核心针活检的人乳腺组织微生物组进行表征。
Sci Rep. 2018 Nov 15;8(1):16893. doi: 10.1038/s41598-018-35329-z.
10
Interaction between the microbiome and TP53 in human lung cancer.人类肺癌中微生物组与 TP53 的相互作用。
Genome Biol. 2018 Aug 24;19(1):123. doi: 10.1186/s13059-018-1501-6.

人类肿瘤微生物组由肿瘤类型特异性的内共生细菌组成。

The human tumor microbiome is composed of tumor type-specific intracellular bacteria.

机构信息

Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.

Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.

出版信息

Science. 2020 May 29;368(6494):973-980. doi: 10.1126/science.aay9189.

DOI:10.1126/science.aay9189
PMID:32467386
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7757858/
Abstract

Bacteria were first detected in human tumors more than 100 years ago, but the characterization of the tumor microbiome has remained challenging because of its low biomass. We undertook a comprehensive analysis of the tumor microbiome, studying 1526 tumors and their adjacent normal tissues across seven cancer types, including breast, lung, ovary, pancreas, melanoma, bone, and brain tumors. We found that each tumor type has a distinct microbiome composition and that breast cancer has a particularly rich and diverse microbiome. The intratumor bacteria are mostly intracellular and are present in both cancer and immune cells. We also noted correlations between intratumor bacteria or their predicted functions with tumor types and subtypes, patients' smoking status, and the response to immunotherapy.

摘要

细菌最早在 100 多年前就被发现在人类肿瘤中,但由于其生物量低,肿瘤微生物组的特征一直具有挑战性。我们对肿瘤微生物组进行了全面分析,研究了包括乳腺癌、肺癌、卵巢癌、胰腺癌、黑色素瘤、骨癌和脑癌在内的七种癌症类型的 1526 个肿瘤及其相邻正常组织。我们发现,每种肿瘤类型都有独特的微生物组组成,而乳腺癌具有特别丰富和多样的微生物组。肿瘤内细菌主要是细胞内的,存在于癌症和免疫细胞中。我们还注意到肿瘤内细菌或其预测功能与肿瘤类型和亚型、患者吸烟状况以及对免疫疗法的反应之间存在相关性。

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