Long-term follow-up of colorectal cancer screening attendees identifies differences in Phascolarctobacterium spp. using 16S rRNA and metagenome sequencing/Experiment 7

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Reviewed Marked as Reviewed by Folakunmi on 2024-1-24

Curated date: 2023/10/26

Curator: Yjung24

Revision editor(s): Yjung24, Folakunmi

Subjects

Location of subjects
Norway
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Time Time,time
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Colorectal cancer diagnosed at time of screening
Group 1 name Corresponds to the case (exposed) group for case-control studies
Colorectal cancer diagnosed during 17-year follow-up/post screening
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Diagnosed with colorectal cancer at screening in the beginning of the Norwegian Colorectal Cancer Prevention Trial
Group 0 sample size Number of subjects in the control (unexposed) group
5
Group 1 sample size Number of subjects in the case (exposed) group
23

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V3-V4
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
raw counts
Statistical test
Negative Binomial Regression
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
Yes
Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
sex, geographic area

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Inverse Simpson Modification of Simpsons index D as 1/D to obtain high values in datasets of high diversity and vice versa
unchanged
Richness Number of species
unchanged

Signature 1

Reviewed Marked as Reviewed by Folakunmi on 2024-1-24

Curated date: 2023/10/26

Curator: Yjung24

Revision editor(s): Yjung24

Source: Table 2

Description: Differential abundance analyses of taxa and pathways between CRC, HRA, and healthy controls.

Abundance in Group 1: increased abundance in Colorectal cancer diagnosed during 17-year follow-up/post screening

NCBI Quality ControlLinks
Bifidobacterium
Lachnospiraceae

Revision editor(s): Yjung24

Signature 2

Reviewed Marked as Reviewed by Folakunmi on 2024-1-24

Curated date: 2023/10/26

Curator: Yjung24

Revision editor(s): Yjung24

Source: Table 2

Description: Differential abundance analyses of taxa and pathways between CRC, HRA, and healthy controls.

Abundance in Group 1: decreased abundance in Colorectal cancer diagnosed during 17-year follow-up/post screening

NCBI Quality ControlLinks
Lachnospiraceae

Revision editor(s): Yjung24