Microbiome analyses of blood and tissues suggest cancer diagnostic approach

doi:10.1038/s41586-020-2095-1

GSTDTAP > 地球科学

DOI	10.1038/s41586-020-2095-1
	Microbiome analyses of blood and tissues suggest cancer diagnostic approach
	Shao, Zhengping 1,2; Flynn, Ryan A.3; Crowe, Jennifer L.1,4; Zhu, Yimeng 1,2; Liang, Jialiang 5; Jiang, Wenxia 1,2; Aryan, Fardin 5; Aoude, Patrick 5; Bertozzi, Carolyn R.3,6; Estes, Verna M.1,2; Lee, Brian J.1,2; Bhagat, Govind 2,7,8,9; Zha, Shan 1,2,7,8,9; Calo, Eliezer 5,10
	2020-02-26
发表期刊	NATURE
ISSN	0028-0836
EISSN	1476-4687
出版年	2020
卷号	579 期号:7800 页码:567-+
文章类型	Article
语种	英语
国家	USA; Belgium; Poland; Germany
英文关键词	Microbial nucleic acids are detected in samples of tissues and blood from more than 10,000 patients with cancer, and machine learning is used to show that these can be used to discriminate between and among different types of cancer, suggesting a new microbiome-based diagnostic approach. Systematic characterization of the cancer microbiome provides the opportunity to develop techniques that exploit non-human, microorganism-derived molecules in the diagnosis of a major human disease. Following recent demonstrations that some types of cancer show substantial microbial contributions(1-10), we re-examined whole-genome and whole-transcriptome sequencing studies in The Cancer Genome Atlas(11) (TCGA) of 33 types of cancer from treatment-naive patients (a total of 18,116 samples) for microbial reads, and found unique microbial signatures in tissue and blood within and between most major types of cancer. These TCGA blood signatures remained predictive when applied to patients with stage Ia-IIc cancer and cancers lacking any genomic alterations currently measured on two commercial-grade cell-free tumour DNA platforms, despite the use of very stringent decontamination analyses that discarded up to 92.3% of total sequence data. In addition, we could discriminate among samples from healthy, cancer-free individuals (n = 69) and those from patients with multiple types of cancer (prostate, lung, and melanoma 100 samples in total) solely using plasma-derived, cell-free microbial nucleic acids. This potential microbiome-based oncology diagnostic tool warrants further exploration.
领域	地球科学 ; 气候变化 ; 资源环境
收录类别	SCI-E
WOS记录号	WOS:000519162500008
WOS关键词	READ ALIGNMENT ; HALLMARKS ; PLATFORM ; ORIGIN
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/281122
专题	地球科学资源环境科学气候变化
作者单位	1.Columbia Univ, Vagelos Coll Phys & Surg, Inst Canc Genet, New York, NY 10027 USA; 2.Columbia Univ, Vagelos Coll Phys & Surg, Herbert Irving Comprehens Canc Ctr, New York, NY 10027 USA; 3.Stanford Univ, Dept Chem, Stanford, CA 94305 USA; 4.Columbia Univ, Vagelos Coll Phys & Surg, Grad Program Pathobiol & Mol Med, New York, NY USA; 5.MIT, Dept Biol, Cambridge, MA 02139 USA; 6.Stanford Univ, Howard Hughes Med Inst, Stanford, CA 94305 USA; 7.Columbia Univ, Dept Pediat, Vagelos Coll Phys & Surg, New York, NY 10027 USA; 8.Columbia Univ, Dept Pathol & Cell Biol, Vagelos Coll Phys & Surg, New York, NY 10027 USA; 9.Columbia Univ, Dept Immunol & Microbiol, Vagelos Coll Phys & Surg, New York, NY 10027 USA; 10.MIT, Koch Inst Integrat Canc Res, Cambridge, MA 02139 USA
推荐引用方式 GB/T 7714	Shao, Zhengping,Flynn, Ryan A.,Crowe, Jennifer L.,et al. Microbiome analyses of blood and tissues suggest cancer diagnostic approach[J]. NATURE,2020,579(7800):567-+.
APA	Shao, Zhengping.,Flynn, Ryan A..,Crowe, Jennifer L..,Zhu, Yimeng.,Liang, Jialiang.,...&Calo, Eliezer.(2020).Microbiome analyses of blood and tissues suggest cancer diagnostic approach.NATURE,579(7800),567-+.
MLA	Shao, Zhengping,et al."Microbiome analyses of blood and tissues suggest cancer diagnostic approach".NATURE 579.7800(2020):567-+.