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Metagenomic Analysis of Formalin-fixed Paraffin-embedded Tumor and Normal Mucosa Reveals Differences in the Microbiome of Colorectal Cancer Patients

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Journal Sci Rep
Specialty Science
Date 2021 Jan 12
PMID 33432015
Citations 16
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Abstract

An increased risk of developing colorectal cancer (CRC) and other types of tumor is associated to Lynch syndrome (LS), an inherited condition caused by germline mutations in mismatch repair genes. We selected a cohort of LS patients that had developed CRC and had undergone surgical resection. Formalin-fixed paraffin embedded (FFPE) tissue blocks from matched colorectal and normal mucosa were used for genomic DNA extraction with a commercial kit and sequenced by high-throughput sequencing. A metagenomic approach enabled the taxonomic and functional identification of the microbial community and associated genes detected in the specimens. Slightly lower taxonomic diversity was observed in the tumor compared to the non-tumor tissue. Furthermore, the most remarkable differences between tumors and healthy tissue was the significant increase in the genus Fusobacterium in the former, in particular the species F. nucleatum, as well as Camplylobacter or Bacteroides fragilis, in accordance with previous studies of CRC. However, unlike prior studies, the present work is not based on directed detection by qPCR but instead uses a metagenomic approach to retrieve the whole bacterial community, and addresses the additional difficulty of using long-term stored FFPE samples.

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References
1.
Li D, Liu C, Luo R, Sadakane K, Lam T . MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph. Bioinformatics. 2015; 31(10):1674-6. DOI: 10.1093/bioinformatics/btv033. View

2.
Allali I, Delgado S, Marron P, Astudillo A, Yeh J, Ghazal H . Gut microbiome compositional and functional differences between tumor and non-tumor adjacent tissues from cohorts from the US and Spain. Gut Microbes. 2015; 6(3):161-72. PMC: 4615176. DOI: 10.1080/19490976.2015.1039223. View

3.
Xue M, Kim C, Healy A, Wernke K, Wang Z, Frischling M . Structure elucidation of colibactin and its DNA cross-links. Science. 2019; 365(6457). PMC: 6820679. DOI: 10.1126/science.aax2685. View

4.
Koliarakis I, Messaritakis I, Nikolouzakis T, Hamilos G, Souglakos J, Tsiaoussis J . Oral Bacteria and Intestinal Dysbiosis in Colorectal Cancer. Int J Mol Sci. 2019; 20(17). PMC: 6747549. DOI: 10.3390/ijms20174146. View

5.
Flemer B, Lynch D, Brown J, Jeffery I, Ryan F, Claesson M . Tumour-associated and non-tumour-associated microbiota in colorectal cancer. Gut. 2016; 66(4):633-643. PMC: 5529966. DOI: 10.1136/gutjnl-2015-309595. View