Table 4.
Rare bacterial taxa associated with colorectal cancer risk a
| Taxa | Prevalence |
OR (95% CI) b | P value b | P value c | |
|---|---|---|---|---|---|
| Cases (N=231) | Controls (N=461) | ||||
| Phylum Actinobacteria | |||||
| Species Bifidobacterium dentium | 58.87% | 50.54% | 1.46 (1.04–2.07) | 0.03 | 1.00 |
| Phylum Bacteroidetes | |||||
| Species Prevotella sp. oral taxon 304 | 33.77% | 26.03% | 1.59 (1.09–2.33) | 0.02 | 1.00 |
| Phylum Firmicutes | |||||
| Genus Peptococcus | 60.61% | 52.06% | 1.46 (1.02–2.08) | 0.04 | 1.00 |
| Genus Anaeroglobus | 69.70% | 60.74% | 1.48 (1.04–2.10) | 0.03 | 1.00 |
| Genus Mitsuokella | 44.16% | 36.01% | 1.52 (1.08–2.14) | 0.02 | 1.00 |
| Species Lactobacillus salivarius | 46.75% | 38.18% | 1.46 (1.03–2.08) | 0.03 | 1.00 |
| Species Eubacterium yurii | 37.66% | 29.93% | 1.46 (1.01–2.10) | 0.04 | 1.00 |
| Phylum Proteobacteria | |||||
| Family Burkholderiaceae | 66.67% | 55.97% | 1.62 (1.14–2.30) | 7.40×10−3 | 0.68 |
| Genus Lautropia | 66.23% | 54.45% | 1.72 (1.20–2.45) | 2.88×10−3 | 0.26 |
| Species Neisseria oralis | 42.42% | 34.71% | 1.42 (1.01–2.00) | 0.04 | 1.00 |
| Species Campylobacter sp. oral taxon 044 | 51.52% | 42.08% | 1.58 (1.12–2.24) | 0.01 | 0.92 |
| Phylum Spirochaetes | |||||
| Species Treponema lecithinolyticum | 44.59% | 33.62% | 1.76 (1.23–2.53) | 2.11×10−3 | 0.19 |
| Species Treponema sp. oral taxon 250 | 25.97% | 20.17% | 1.66 (1.07–2.56) | 0.02 | 1.00 |
| Phylum SR1 | 54.98% | 41.65% | 1.76 (1.25–2.47) | 1.09×10−3 | 0.10 |
| Species SR1_[G-1] sp. oral taxon 345 | 33.77% | 26.90% | 1.50 (1.01–2.23) | 0.04 | 1.00 |
| Species SR1_[G-1] sp. oral taxon 874 | 41.13% | 29.07% | 1.75 (1.24–2.48) | 1.58×10−3 | 0.14 |
a
Rare taxa were defined as those with a median relative abundance of ≤0.01% and a carriage >20% among control subjects.
b
For each taxon, individuals were categorized into carriers and non-carriers according to whether they carried the taxon or not. The association of taxon prevalence and CRC risk was evaluated using conditional logistic regression. Smoking pack-years, alcohol consumption status and sequencing depth were adjusted in the models.
c
Bonferroni-corrected P values, adjusted for 92 independent tests.