Power-law scaling in intratumoral microbiota of colorectal cancer.

IF 4.3 3区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY
Nikolas Dovrolis, Maria Gazouli, François Rigal, Robert J Whittaker, Thomas J Matthews, Konstantinos Georgiou, George Theodoropoulos, Kostas A Triantis
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引用次数: 0

Abstract

It has recently been proposed that the study of microbial dynamics in humans may gain insights from island biogeographical theory. Here, we test whether the diversity of the intratumoral microbiota of colorectal cancer tumors (CRC) follows a power law with tumor size akin to the island species-area relationship. We confirm a direct correlation between the quantity of Amplicon Sequence Variants (ASVs) within CRC tumors and tumor sizes, following a (log)power model, explaining 47% of the variation. Understanding the processes involved, potentially through the analogy of tumors and islands, may ultimately contribute to future clinical and therapeutic strategies.

结直肠癌瘤内微生物群的幂律缩放。
最近有人提出,人类微生物动态研究可以从岛屿生物地理学理论中获得启示。在这里,我们检验了结直肠癌肿瘤(CRC)瘤内微生物群的多样性是否与肿瘤大小呈幂律关系,类似于岛屿物种与面积的关系。我们证实结直肠癌肿瘤内扩增子序列变异(ASV)的数量与肿瘤大小直接相关,遵循(对数)幂模型,可解释47%的变化。通过类比肿瘤和肿瘤岛来了解相关过程,最终可能有助于未来的临床和治疗策略。
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来源期刊
Gut Pathogens
Gut Pathogens GASTROENTEROLOGY & HEPATOLOGY-MICROBIOLOGY
CiteScore
7.70
自引率
2.40%
发文量
43
期刊介绍: Gut Pathogens is a fast publishing, inclusive and prominent international journal which recognizes the need for a publishing platform uniquely tailored to reflect the full breadth of research in the biology and medicine of pathogens, commensals and functional microbiota of the gut. The journal publishes basic, clinical and cutting-edge research on all aspects of the above mentioned organisms including probiotic bacteria and yeasts and their products. The scope also covers the related ecology, molecular genetics, physiology and epidemiology of these microbes. The journal actively invites timely reports on the novel aspects of genomics, metagenomics, microbiota profiling and systems biology. Gut Pathogens will also consider, at the discretion of the editors, descriptive studies identifying a new genome sequence of a gut microbe or a series of related microbes (such as those obtained from new hosts, niches, settings, outbreaks and epidemics) and those obtained from single or multiple hosts at one or different time points (chronological evolution).
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