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. 2018 Jan 23;118(4):471–479. doi: 10.1038/bjc.2017.435

Table 1. Associations of breast cancer among postmenopausal women with microbiome metrics in faeces, before and after sorting for immunoglobulin A (IgA) staining.

  P valuea
  Unsorted IgA-positive IgA-negative IgA-positive vs IgA-negative
Richness/alpha diversity metric
Observed species 0.021* 0.007* 0.046* 0.054*
Chao1 0.023* 0.007* 0.052* 0.045*
PD_whole_tree 0.039* 0.018* 0.027* 0.480
Shannon 0.103 0.041* 0.129 0.222
Beta diversity metric
Unweighted UniFrac 0.060 0.023* 0.050* NE
Unweighted UniFrac_PC1 0.066 0.037* 0.027* 0.660
Unweighted UniFrac_PC2 0.370 0.815 0.828 0.940
Unweighted UniFrac_PC3 0.517 0.370 0.527 0.054*
Weighted UniFrac 0.253 0.197 0.195 NE
Weighted UniFrac_PC1 0.147 0.161 0.444 0.225
Weighted UniFrac_PC2 0.233 0.465 0.309 0.096
Weighted UniFrac_PC3 0.281 0.056 0.023* 0.550
Bray Curtis 0.390 0.078 0.209 NE
Bray Curtis_PC1 0.080 0.079 0.137 0.389
Bray Curtis_PC2 0.847 0.471 0.380 0.745
Bray Curtis_PC3 0.137 0.050* 0.280 0.316

Abbreviations: IgA=immunoglobulin A; PC=principal component; PD=Phylogenetic diversity.

a

P-values by Wald test in logistic regression models, else by microbiome regression-based kernel association test (MiRKAT) for UniFrac and Bray Curtis, each adjusted for age, body mass index, and total urinary oestrogen level; permutation test for difference between IgA-positive vs IgA-negative for effect size (not evaluable (NE) by MiRKAT). *P⩽0.05.