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PRJDB35189 DRP014667

Gut microbiota in CRC patients vs healthy family members

Family Cohort Study Reveals Significant Fluctuations in Functional Microbiota in CRC (PRJCA038885)

88 fecal samples from colorectal cancer patients and their healthy family partners, compared in a case-control study of gut microbiota composition and function; sample location not reported. machine-written summary

88 samples · 88 runs · Age unknown · 2025 · 6.07 Gbp / sample

Sources
✓Sequence archive 88✓Abstract / description 176–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 archive88 sample values (collection date)
✓ Abstract / description176 sample values (health condition detail, subject id)
– Full textno open-access full text linked
– Supplementary tablesno supplementary tables available (or none open access)
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet · share metadata
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
Age
unknown88
Body site
primary88
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)all projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 1 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 2 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 1 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 84 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 6.07 Gbp per sample0130Gbp
Sampling design and relatedness

partners / couples — not resolved

41 CRC patients and 47 healthy partners/family members; pairs not encoded per sample (alias A0xxx n=41 / A1xxx n=47, undocumented).

How longitudinal and relatedness information is derived

Community composition
Bacteroides 19.2%Phocaeicola 14.7%Prevotella 9.0%Alistipes 4.6%Roseburia 3.8%Escherichia 3.6%Faecalibacterium 2.9%Parabacteroides 2.3%Mediterraneibacter 1.7%Ruminococcoides 1.5%Porphyromonas 1.3%Fusobacterium_A 1.3%not assigned to a genus 4.2%other genera 30.1%

Genera, mean relative abundance over 84 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%
country0 0%
health_condition0 0%
subject_id88 100%88
collection_date88 100%88
health_condition_detail88 100%88
Details
Archive description

This study examined the differences in gut flora between colorectal cancer (CRC) patients and their healthy partners. The study collected faecal samples from 41 CRC patients and 47 healthy partners for macro-genomic sequencing and bioinformatics analysis. The results of the study indicated that the intestinal flora of CRC patients had a significant increase in harmful bacteria and a decrease in beneficial bacteria. Specifically, bacteria associated with inflammation and cancer, such as Fusobacterium nucleatum and Bilophila wadsworthia, were found to be significantly more abundant in the gut flora of CRC patients, whereas bacteria with anti-inflammatory and metabolic functions, such as Phocaeicola and Roseburia intestinalis, were more abundant. Furthermore, the gut flora of healthy partners exhibited increased carbohydrate degradation, while the gut flora of CRC patients demonstrated enhanced amino acid metabolism. Subsequent association analyses indicated that a significantly higher proportion of strains within the CRC group exhibited a positive association with KEGG pathways that promote inflammation and activate cancer pathways. In contrast, strains within the healthy group demonstrated a positive association with pathways related to antimicrobial substance synthesis, lipid metabolism, amino acid metabolism and energy production. The findings of this study indicate that, despite the fact that patients suffering from CRC and healthy family members inhabit similar dietary and living environments, the presence of CRC significantly alters the composition and function of the intestinal flora, resulting in an increase in the abundance of harmful and cancer-promoting organisms, and a concomitant decrease in the abundance of beneficial bacteria. These findings provide new potential biomarkers and targets for intervention in the diagnosis and treatment of CRC.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.72. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.description · “collected faecal samples from 41 CRC patients”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMD00942804collection_date2019-12-10R10.90biosample.attribute:collection_date2019-12-10
SAMD00942804health_condition_detailmixed_case_control: colorectal cancer patients vs healthy partnersR40.40study.description41 CRC patients and 47 healthy partners
SAMD00942804subject_idSAMD00942804R40.60design.one_sample_per_subject:descriptioncollected faecal samples from 41 CRC patients and 47 healthy partners for macro-genomic sequencing
Sequencing

88 runs over 88 samples · mean 5.91 Gbp per run (median 6.07 Gbp, total 520.02 Gbp; 88 runs with a base count) · layout PAIRED 88 · platform ILLUMINA 88 · models Illumina NovaSeq 6000 (88) · 95% of runs with a Sandpiper profile · first public 2025-11-21

Authors (0)

No author record.

Help complete this project

3 of the 4 core fields are below 50% coverage: age_category, country, health_condition. Share metadata

Downloads

PRJDB35189.csv.gz (3.1 KB) · parquet (73.2 KB) — all 88 samples, every field with route and confidence · PRJDB35189_determinations.csv.gz (2.3 KB) — 264 evidence rows

Samples (88 · every field this project has values for · hover a cell for its source)
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