| Literature DB >> 32214244 |
Gregory D Poore1, Evguenia Kopylova2,3, Qiyun Zhu2, Carolina Carpenter4, Serena Fraraccio4, Stephen Wandro4, Tomasz Kosciolek2,5, Stefan Janssen2,6, Jessica Metcalf7, Se Jin Song4, Jad Kanbar8, Sandrine Miller-Montgomery1,4, Robert Heaton9, Rana Mckay10, Sandip Pravin Patel4,10, Austin D Swafford4, Rob Knight11,12,13,14.
Abstract
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 contributions1-10, we re-examined whole-genome and whole-transcriptome sequencing studies in The Cancer Genome Atlas11 (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.Entities:
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Year: 2020 PMID: 32214244 PMCID: PMC7500457 DOI: 10.1038/s41586-020-2095-1
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 49.962