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PRJNA1157403 SRP530684

Gut metagenomes linked to colorectal cancer, Seattle, USA

Colorectal cancer-associated bacteria are broadly distributed in global microbiomes and drivers of precancerous change

198 gut shotgun metagenome samples from Seattle, Washington, USA, analyzed using gene-level clustering to identify bacterial genes and co-abundant gene clusters associated with colorectal cancer or health. machine-written summary

183 samples · 198 runs · US · Age unknown · 2025 · 1.06 Gbp / sample

Sources
✓Sequence archive 1,647○Abstract / description○Full text○Supplementary tables–External resources–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive1,647 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC11464690
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 sampling locations · 1 country
Age
unknown183
Condition
colorectal_adenoma86
healthy_control71
colorectal_cancer26
Country
US183
Body site
primary183
Collected 2021–2022
2021: 26 samples2022: 157 samples20212022
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 3 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 4 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 14 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 53 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 107 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 2 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)all projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 1.11 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

18 of 29 people sampled more than once (172 samples; median 3, up to 35 per person). Schedule stated by the source: “Per-subject repeated fecal sampling with timepoint-labeled IDs (e.g., _t1, _t2); median 2 samples/subject, max 35”.

How longitudinal and relatedness information is derived

Community composition
Blautia_A 12.6%Roseburia 7.2%Collinsella 6.2%Bacteroides 4.2%Escherichia 4.1%Blautia 3.5%Sellimonas 2.9%Faecalibacterium 2.6%CAG-103 2.4%Gemmiger 2.1%Anaerobutyricum 1.9%Phocaeicola 1.9%not assigned to a genus 13.7%other genera 34.6%

Genera, mean relative abundance over 178 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country183 100%183
health_condition183 100%183
subject_id183 100%183
collection_date183 100%183
detailed_location183 100%
health_condition_detail183 100%183
latitude183 100%183
location_locality183 100%183
location_region183 100%183
longitude183 100%183
Papers (1)
  • Colorectal cancer-associated bacteria are broadly distributed in global microbiomes and drivers of precancerous change. 2024 PMID 39384807 PMC11464690 unsure
Details
Archive description

The gut microbiome is implicated in the pathogenesis of colorectal cancer (CRC), but the full scope of this dialogue is unknown. Here we aimed to define the scale and membership of the body of CRC- and health-associated gut bacteria in global populations. We performed a microbiome-CRC correlation analysis of published ultra-deep shotgun metagenomic sequencing data from global microbiome surveys, utilizing a de novo (reference-agnostic) gene-level clustering approach to identify protein-coding co-abundant gene (CAGs) clusters. We link an unprecedented approximately 23-40 percent of gut bacteria to CRC or health, split nearly evenly as CRC- or health-associated. These microbes encode 2,319 CAGs encompassing 427,261 bacterial genes significantly enriched or depleted in CRC. We identified many microbes that had not previously been linked to CRC, thus expanding the scope of known unknowns of CRC-associated microbes. We performed an agnostic CAG-based screen of bacterial isolates and validated predicted effects of previously unimplicated bacteria in preclinical models, in which we observed differential induction of precancerous adenomas and field effects. Single-cell RNA sequencing disclosed microbiome-induced senescence-associated gene expression signatures in discrete colonic populations including fibroblasts. In organoid co-cultures, primary colon fibroblasts from mice with microbiomes promoted significantly greater growth than fibroblasts from microbiome-depleted mice. These results offer proof-of-principle for gene-level metagenomic analysis enabling discovery of microbiome links to health and demonstrate that the microbiome can drive precancer states, thereby potentially revealing novel cancer prevention opportunities.

How this project entered the registry

Classified as human and non-human (mixed) gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.60. Assay shotgun_dna.

  • host run.host_tax_id · “10090”
  • host run.host_tax_id · “9606”
  • host study.description · “validated predicted effects of previously unimplicated bacteria in preclinical models”
  • body site study.description · “The gut microbiome is implicated”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN43512661collection_date2021-07-05R10.90biosample.attribute:collection_date2021-07-05
SAMN43512661countryUSR10.90sample.attr.geo_loc_nameUSA: Washington, Seattle
SAMN43512661health_conditioncolorectal_cancerR10.85biosample.attribute:descriptiondescription: CRC
SAMN43512661health_condition_detailCRCR10.85biosample.attribute:descriptiondescription: CRC
SAMN43512661latitude47.6000R10.90biosample.attribute:lat_lon47.60 N 122.33 W
SAMN43512661location_localitySeattleR10.85biosample.attribute:geo_loc_nameUSA: Washington, Seattle
SAMN43512661location_regionWashingtonR10.85biosample.attribute:geo_loc_nameUSA: Washington, Seattle
SAMN43512661longitude-122.3300R10.90biosample.attribute:lat_lon47.60 N 122.33 W
SAMN43512661subject_id2_005R10.85sample.attr.personid2_005
Sequencing

198 runs over 183 samples · mean 1.14 Gbp per run (median 1.06 Gbp, total 226.70 Gbp; 198 runs with a base count) · layout PAIRED 157, SINGLE 41 · platform ILLUMINA 198 · models NextSeq 2000 (157), Illumina NovaSeq 6000 (26), Illumina MiniSeq (15) · 90% of runs with a Sandpiper profile · first public 2025-03-30

Authors (11)

Minot SS first · Li N · Srinivasan H · Ayers JL · Yu M · Koester ST · Stangis MM · Dominitz JA · Halberg RB · Grady WM · Dey N last

Downloads

PRJNA1157403.csv.gz (4.8 KB) · parquet (76.4 KB) — all 183 samples, every field with route and confidence · PRJNA1157403_determinations.csv.gz (10.1 KB) — 1,647 evidence rows

Samples (183 · every field this project has values for · hover a cell for its source)
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