Abstract 3340: Prostate cancer alters gut microbiota in mice

Commensal gut bacteria are essential for maintaining intestinal homeostasis, however, aging, environmental factors and pathological conditions can cause changes in microbial composition resulting in dysbiosis. Specific microbial communities can alter host immune functions and are implicated in promo...

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Veröffentlicht in:Cancer research (Chicago, Ill.) Ill.), 2020-08, Vol.80 (16_Supplement), p.3340-3340
Hauptverfasser: De Velasco, Marco A., Sakai, Kazuko, Kura, Yurie, Banno, Eri, Ando, Naomi, Sako, Noriko, Yoshikawa, Kazuhiro, Nishio, Kazuto, Uemura, Hirotsugu
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Sprache:eng
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Zusammenfassung:Commensal gut bacteria are essential for maintaining intestinal homeostasis, however, aging, environmental factors and pathological conditions can cause changes in microbial composition resulting in dysbiosis. Specific microbial communities can alter host immune functions and are implicated in promoting carcinogenesis, tumor progression and therapeutic resistance. In this study we use a genetically engineered mouse model of prostate cancer to characterize changes in gut microbiota. 16S marker sequencing data was used to perform a comprehensive profile of the fecal microbiomes of conditional Pten-knockout mice harboring prostate tumors versus wildtype mice with normal prostate. Unsupervised clustering of microbiota was performed by hierarchical clustering. Community composition (beta diversity) was determine by principal components analysis, principal coordinates analysis (PCoA) and Adonis (permutational manova (PERMANOVA)) and the Shannon index was used to determine alpha diversity. The linear discriminant analysis effect size method was used to identify features associated with cancer and multiple linear regression was performed to determine relevant features of fecal bacteria collected from the proximal and distal colon. Predictive biomarkers associated with prostate cancer were identified with the Wilcoxon rank test. Weighted correlation network analysis (WGCNA) was performed to identify clusters of taxa associated with the presence of prostate cancer. Taxon set enrichment analysis (TSEA) was carried out to identify taxon sets associated with host genetic variations, and host intrinsic and extrinsic factors. Overall, the presence of prostate cancer did not affect diversity, however, significant compositional differences were observed between the cohorts (Bray-Curtis Adonis, P=0.003). At the family level S24_7, Odoribacteraceae, and Peptococcaceae were associated with cancer bearing mice while Bifidobacteriaceae, Peptostreptococcaceae, Coriobacteriaceae, Ruminococcaceae and Erysipelotrichaceae were associated with healthy mice (P
ISSN:0008-5472
1538-7445
DOI:10.1158/1538-7445.AM2020-3340