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. Author manuscript; available in PMC: 2023 Mar 15.
Published in final edited form as: Int J Cancer. 2021 Nov 5;150(6):928–940. doi: 10.1002/ijc.33848

Table 3.

Taxa in the gastric microbiomea associated with gastric intestinal metaplasia

Taxon (class; order; family; genus; species) Mean relative abundance, % ORb (95% CI) P c

Cases Controls

Actinobacteria
 Actinobacteria; Actinomycetales; Actinomycetaceae; Actinomyces; Actinomyces sp. oral taxon 448 (species) 0.11 0.10 1.42 (1.02–1.99) 0.040
Bacteroidetes
 Bacteroidia; Bacteroidales; Prevotellaceae; Prevotella; Prevotella baroniae (species) 0.20 0.09 1.61 (1.03–2.51) 0.037
Firmicutes
 Bacilli; Lactobacillales; Lactobacillaceae; Lactobacillus; Lactobacillus gasseri (species) 0.02 0.04 0.75 (0.56–0.99) 0.046
 Bacilli; Lactobacillales; Streptococcaceae; Streptococcus; Streptococcus mutans (species) 0.03 0.03 0.61 (0.39–0.94) 0.024
 Clostridia; Clostridiales; Peptostreptococcaceae; Filifactor (genus) 0.12 0.05 1.47 (1.03–2.11) 0.036
 Clostridia; Clostridiales; Peptostreptococcaceae; Filifactor; Filifactor alocis (species) 0.11 0.04 1.43 (1.03–2.01) 0.035
 Negativicutes; Veillonellales; Veillonellaceae; Veillonella; Veillonella sp. oral taxon 780 (species) 0.05 0.02 1.53 (1.09–2.16) 0.015
Fusobacteria
 Fusobacteriia; Fusobacteriales; Leptotrichiaceae; Pseudoleptotrichia; Leptotrichia goodfellowii (species) 0.01 0.01 1.67 (1.09–2.57) 0.019
Proteobacteria
 Deltaproteobacteria; Desulfovibrionales; Desulfomicrobiaceae (family) 0.02 0.01 1.50 (1.04–2.17) 0.031
a

Taxa relative abundances were normalized with the clr transformation. All taxa (phyla, classes, orders, families, genera, species) and covariates (age and race) were selected using conditional logistic regression with elastic-net penalties; leave-one-out cross-validation was conducted using the “cv.clogitL1” function in the clogitL1 R package. Taxa selected by the penalized model and with a nominal P < 0.05 based on standard conditional logistic regression models were shown in the table.

b

ORs were calculated using standard logistic regression models conditional on matching factors including sex, recruitment site (Bellevue Hospital, Private clinic, Ambulatory Care Center), age categories (<35, 35–49, 50–64, 65+ years), and recruitment year (± 3 years), adjusting for age (continuous) and race (White, African American, Hispanic, Asian).

c

P values from conditional logistic regression models.