微生物与人类癌症的关系

IF 14.6 1区医学 Q1 CELL BIOLOGY

Science Translational Medicine Pub Date : 2025-09-03 DOI:10.1126/scitranslmed.ads6166

Abraham Gihawi, Henry M. Wood, Jeremy Clark, Justin O’Grady, Rosalind A. Eeles, David C. Wedge, G. Maria Jakobsdottir, Gkikas Magiorkinis, Andrew G. Schache, Liam Masterson, Matt Lechner, Tim R. Fenton, Terry M. Jones, Adrienne M. Flanagan, Solange De Noon, Alex Rubinsteyn, Rachel Hurst, Colin S. Cooper, Daniel S. Brewer

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引用次数: 0

摘要

据估计，全球15%的癌症是由肿瘤微生物引起的。当收集癌症全基因组测序（WGS）数据时，也会对存在的微生物进行测序，从而调查潜在的病因和临床关联。对来自Genomics England WGS数据集的包括22种癌症类型的8908例患者的微生物群落进行了调查，结果显示，只有结直肠肿瘤表现出明显不同的微生物群落，可以可靠地用于区分解剖部位[阳性预测值（positive predictive value， PPV） = 0.95]。这种模式在两个独立的数据集中得到了验证。我们的分析揭示了潜在的临床相关性，包括与目前的临床标准相比，在口腔癌中准确检测甲型乳头瘤病毒[人乳头瘤病毒（HPV）]，以及检测罕见的高致病性病毒，如人类t淋巴细胞嗜病毒- 1。生物标志物研究表明，在某些亚型肉瘤中，厌氧菌亚群与存活之间存在统计学意义上的显著关联（P < 0.05）。我们的研究结果与之前的说法相矛盾，即每种癌症类型都有不同的微生物特征，但随着肿瘤样本的WGS在临床中变得普遍，我们强调了微生物分析对某些癌症的潜在价值。

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The landscape of microbial associations in human cancer

Oncomicrobes are estimated to cause 15% of cancers worldwide. When cancer whole-genome sequencing (WGS) data are collected, the microbes present are also sequenced, allowing the investigation of potential etiological and clinical associations. Interrogating the microbial community for 8908 patients encompassing 22 cancer types from the Genomics England WGS dataset revealed that only colorectal tumors exhibited unmistakably distinct microbial communities that can reliably be used to distinguish anatomical site [positive predictive value (PPV) = 0.95]. This pattern was validated in two independent datasets. Potential clinical relevance uncovered by our analyses included accurate detection of alphapapillomaviruses [human papillomavirus (HPV)] in oral cancers, when compared with current clinical standards, and the detection of rare, highly pathogenic viruses such as human T-lymphotropic virus–1. Biomarker investigations demonstrated statistically significant associations (P < 0.05) between a subset of anaerobic bacteria and survival in certain subtypes of sarcoma. Our results contradict previous claims that each cancer type has a distinct microbiological signature but highlight the potential value of microbial analysis for certain cancers as WGS of tumor samples becomes common in the clinic.

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来源期刊

Science Translational Medicine CELL BIOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL

CiteScore

26.70

自引率

1.20%

发文量

309

审稿时长

1.7 months

期刊介绍： Science Translational Medicine is an online journal that focuses on publishing research at the intersection of science, engineering, and medicine. The goal of the journal is to promote human health by providing a platform for researchers from various disciplines to communicate their latest advancements in biomedical, translational, and clinical research. The journal aims to address the slow translation of scientific knowledge into effective treatments and health measures. It publishes articles that fill the knowledge gaps between preclinical research and medical applications, with a focus on accelerating the translation of knowledge into new ways of preventing, diagnosing, and treating human diseases. The scope of Science Translational Medicine includes various areas such as cardiovascular disease, immunology/vaccines, metabolism/diabetes/obesity, neuroscience/neurology/psychiatry, cancer, infectious diseases, policy, behavior, bioengineering, chemical genomics/drug discovery, imaging, applied physical sciences, medical nanotechnology, drug delivery, biomarkers, gene therapy/regenerative medicine, toxicology and pharmacokinetics, data mining, cell culture, animal and human studies, medical informatics, and other interdisciplinary approaches to medicine. The target audience of the journal includes researchers and management in academia, government, and the biotechnology and pharmaceutical industries. It is also relevant to physician scientists, regulators, policy makers, investors, business developers, and funding agencies.