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Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer.

ABSTRACT: Association studies have linked microbiome alterations with many human diseases. However, they have not always reported consistent results, thereby necessitating cross-study comparisons. Here, a meta-analysis of eight geographically and technically diverse fecal shotgun metagenomic studies of colorectal cancer (CRC, n = 768), which was controlled for several confounders, identified a core set of 29 species significantly enriched in CRC metagenomes (false discovery rate (FDR) < 1 × 10^-5). CRC signatures derived from single studies maintained their accuracy in other studies. By training on multiple studies, we improved detection accuracy and disease specificity for CRC. Functional analysis of CRC metagenomes revealed enriched protein and mucin catabolism genes and depleted carbohydrate degradation genes. Moreover, we inferred elevated production of secondary bile acids from CRC metagenomes, suggesting a metabolic link between cancer-associated gut microbes and a fat- and meat-rich diet. Through extensive validations, this meta-analysis firmly establishes globally generalizable, predictive taxonomic and functional microbiome CRC signatures as a basis for future diagnostics.

SUBMITTER: Wirbel J

PROVIDER: S-EPMC7984229 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer.

Wirbel Jakob J Pyl Paul Theodor PT Kartal Ece E Zych Konrad K Kashani Alireza A Milanese Alessio A Fleck Jonas S JS Voigt Anita Y AY Palleja Albert A Ponnudurai Ruby R Sunagawa Shinichi S Coelho Luis Pedro LP Schrotz-King Petra P Vogtmann Emily E Habermann Nina N Niméus Emma E Thomas Andrew M AM Manghi Paolo P Gandini Sara S Serrano Davide D Mizutani Sayaka S Shiroma Hirotsugu H Shiba Satoshi S Shibata Tatsuhiro T Yachida Shinichi S Yamada Takuji T Waldron Levi L Naccarati Alessio A Segata Nicola N Sinha Rashmi R Ulrich Cornelia M CM Brenner Hermann H Arumugam Manimozhiyan M Bork Peer P Zeller Georg G

Nature medicine 20190401 4

Association studies have linked microbiome alterations with many human diseases. However, they have not always reported consistent results, thereby necessitating cross-study comparisons. Here, a meta-analysis of eight geographically and technically diverse fecal shotgun metagenomic studies of colorectal cancer (CRC, n = 768), which was controlled for several confounders, identified a core set of 29 species significantly enriched in CRC metagenomes (false discovery rate (FDR) < 1 × 10<sup>-5</sup ...[more]

PMID: 30936547

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Project description:ObjectivesThis study aimed to identify colorectal cancer (CRC)-associated phylogenetic and functional bacterial features by a large-scale metagenomic sequencing and develop a binomial classifier to accurately distinguish between CRC patients and healthy individuals.MethodsWe conducted shotgun metagenomic analyses of fecal samples from a ZhongShanMed discovery cohort of 121 CRC and 52 controls and SouthernMed validation cohort of 67 CRC and 44 controls. Taxonomic profiling and quantification were performed by direct sequence alignment against genome taxonomy database (GTDB). High-quality reads were also aligned to IGC datasets to obtain functional profiles defined by Kyoto Encyclopedia of Genes and Genomes (KEGG). A least absolute shrinkage and selection operator (LASSO) classifier was constructed to quantify risk scores of probability of disease and to discriminate CRC from normal for discovery, validation, Fudan, GloriousMed, and HongKong cohorts.ResultsA diverse spectrum of bacterial and fungi species were found to be either enriched (368) or reduced (113) in CRC patients (q<0.05). Similarly, metabolic functions associated with biosynthesis and metabolism of amino acids and fatty acids were significantly altered (q<0.05). The LASSO regression analysis of significant changes in the abundance of microbial species in CRC achieved areas under the receiver operating characteristic curve (AUROCs) of 0.94 and 0.91 in the ZhongShanMed and SouthernMed cohorts, respectively. A further analysis of Fudan, GloriousMed, and HK cohorts using the same classification model also demonstrated AUROC of 0.80, 0.78, and 0.91, respectively. Moreover, major CRC-associated bacterial biomarkers identified in this study were found to be coherently enriched or depleted across 10 metagenomic sequencing studies of gut microbiota.ConclusionA coherent signature of CRC-associated bacterial biomarkers modeled on LASSO binomial classifier maybe used accurately for early detection of CRC.

Project description:BackgroundColorectal cancer (CRC) is among the top three causes of global cancer mortality. In Vietnam, CRC is the third leading cause of death in women and the fourth cause of cancer mortality in men. A large number of metagenomic studies have reported the relationship between altered composition and function of the gut microbiota with CRC, but this relationship in low- and middle-income countries including Vietnam (with an estimated population of 100.3 million people in 2023, ranking 16th largest country by population in the world) is not well-explored.MethodsWe collected clinical data and fecal samples from 43 CRC patients and 44 healthy control subjects. The total community DNA of microorganisms was extracted from the fecal samples and analyzed for microbiota composition using Illumina MiSeq amplicon sequencing targeting the V3-V4 region of the 16S rRNA gene.ResultsWe identified a significant difference in the overall fecal microbiota composition between CRC patients and healthy controls, and we detected several CRC-associated microbial signatures in fecal samples of Vietnamese patients with CRC, which overlapped with signatures from other countries and meta-analyses. Although patients with (n = 8) and without (n = 35) type 2 diabetes (T2D) exhibited distinct gut microbiota composition compared to healthy controls, increased relative abundances of putatively pathogenic species including Parvimonas micra, Peptostreptococcus stomatis, and Prevotella intermedia were consistent biomarkers for CRC. In contrast, several health-associated species were significantly depleted in CRC patients such as Lactobacillus johnsonii and Bifidobacterium longum in CRC/non-T2D patients, Ruminococcus species, Bacteroides uniformis, and Phascolarctobacterium faecium in CRC/T2D patients, and Butyricicoccus pullicaecorum in both CRC groups combined.ConclusionOur findings confirm alterations in gut microbiota composition in CRC in a pilot Vietnamese cohort and highlight several gut microbial taxa that may have inhibitory or driver roles in CRC. This and future studies will enable the development of cancer diagnostics and treatment strategies for CRC in Vietnam, with a focus on targeting the microbiota.

Dataset Information

Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer.

Publications

Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer.

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