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. 2022 Feb 7;12:718776. doi: 10.3389/fmicb.2021.718776

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Copyright © 2022 Parra-Grande, Oré-Arce, Martínez-Priego, D’Auria, Rosselló-Mora, Lillo, Sempere, Lumbreras and Sánchez-Hellín.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Principal component analysis (PCA) of bacteria at the phylum (A) and genus (B) level according to the type of tissue. PCA was performed using the Euclidean distance as a metric element and the Kaiser criterion to select the number of components. PCA shows the microbial community composition in relation to non-tumor mucosa (blue cicles, n = 26) and tumor mucosa (yellow triangles, n = 26) from bladder cancer patients with paired samples. Principal component (PC1 and PC2) together, account for 73.7% (A) and 36.8% (B) of the variance in these data.