对接受结直肠癌筛查者的长期随访发现，使用16S rRNA和宏基因组测序在物种方面存在差异。
Long-term follow-up of colorectal cancer screening attendees identifies differences in spp. using 16S rRNA and metagenome sequencing.
作者信息
Bucher-Johannessen Cecilie, Birkeland Einar Elvbakken, Vinberg Elina, Bemanian Vahid, Hoff Geir, Berstad Paula, Rounge Trine B
机构信息
Department of Tumor Biology, Institute of Cancer Research, Oslo University Hospital, Oslo, Norway.
Department of Research, Cancer Registry of Norway, Oslo, Norway.
出版信息
Front Oncol. 2023 Apr 27;13:1183039. doi: 10.3389/fonc.2023.1183039. eCollection 2023.
BACKGROUND
The microbiome has been implicated in the initiation and progression of colorectal cancer (CRC) in cross-sectional studies. However, there is a lack of studies using prospectively collected samples.
METHODS
From the Norwegian Colorectal Cancer Prevention (NORCCAP) trial, we analyzed 144 archived fecal samples from participants who were diagnosed with CRC or high-risk adenoma (HRA) at screening and from participants who remained cancer-free during 17 years of follow-up. We performed 16S rRNA sequencing of all the samples and metagenome sequencing on a subset of 47 samples. Differences in taxonomy and gene content between outcome groups were assessed for alpha and beta diversity and differential abundance.
RESULTS
Diversity and composition analyses showed no significant differences between CRC, HRA, and healthy controls. was more abundant in CRC compared with healthy controls in both the 16S and metagenome data. The abundance of and spp. was associated with time to CRC diagnosis.
CONCLUSION
Using a longitudinal study design, we identified three taxa as being potentially associated with CRC. These should be the focus of further studies of microbial changes occurring prior to CRC diagnosis.
背景
在横断面研究中，微生物群与结直肠癌（CRC）的发生和发展有关。然而，缺乏使用前瞻性收集样本的研究。
方法
从挪威结直肠癌预防（NORCCAP）试验中，我们分析了144份存档粪便样本，这些样本来自筛查时被诊断为CRC或高危腺瘤（HRA）的参与者，以及在17年随访期间未患癌症的参与者。我们对所有样本进行了16S rRNA测序，并对47个样本的子集进行了宏基因组测序。评估了结局组之间在分类学和基因含量上的差异，以分析α和β多样性以及差异丰度。
结果
多样性和组成分析显示，CRC、HRA和健康对照之间无显著差异。在16S和宏基因组数据中，与健康对照相比，CRC中的 更为丰富。 和 属的丰度与CRC诊断时间相关。
结论
采用纵向研究设计，我们确定了三个可能与CRC相关的分类群。这些应成为CRC诊断前发生的微生物变化进一步研究的重点。
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