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PRJEB70916 ERP155818

Gut metagenome in Lynch syndrome CRC patients, France

Whole Metagenome Sequencing of colo-rectal cancer in Lynch Syndrome Patients

Case-control study of 33 fecal metagenome samples from France, comparing Lynch syndrome colorectal cancer patients (19) to healthy first-degree relative controls (14) to assess bacterial network structures. machine-written summary

33 samples · 33 runs · FR · Adult · 2024 · 3.07 Gbp / sample

Sources
✓Sequence archive 231○Abstract / description✓Full text 99○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 archive231 sample values (age, bmi, collection date, country, health condition, health condition detail, sex)
○ Abstract / descriptionread; no usable statement
✓ Full text99 sample values (antibiotic exposure, location locality, location region) · PMC10876293, PMC13281578
○ 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 country
Age
adult26
elderly7
Condition
colorectal_cancer19
healthy_control14
Sex
female17
male16
Country
FR33
Body site
primary33
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 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 15 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 18 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 3.07 Gbp per sample0130Gbp
Sampling design and relatedness

families — not resolved

19 Lynch-syndrome CRC patients and 15 first-degree relatives from 17 families; family membership not given per sample.

How longitudinal and relatedness information is derived

Community composition
Prevotella 16.4%Bacteroides 7.4%Phocaeicola 6.6%Roseburia 3.9%Faecalibacterium 3.3%Mediterraneibacter 3.1%Escherichia 3.1%Alistipes 1.9%Parabacteroides 1.7%Ruminococcoides 1.5%Lachnospira 1.5%Eshraghiella 1.5%not assigned to a genus 5.9%other genera 42.4%

Genera, mean relative abundance over 28 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category33 100%
country33 100%33
health_condition33 100%33
subject_id0 0%
age_at_collection_days33 100%33
antibiotic_exposure33 100%33
bmi33 100%33
collection_date33 100%33
detailed_location33 100%
health_condition_detail33 100%33
location_locality33 100%33
location_region33 100%33
sex33 100%33
Papers (2)
  • Loss of symbiotic and increase of virulent bacteria through microbial networks in Lynch syndrome colon carcinogenesis. 2023 PMID 38375206 PMC10876293 own_data
  • Gut fungal signatures in colorectal cancer and their potential for supporting diagnosis: a multi-cohort metagenomic analysis. 2026 PMID 42271362 PMC13281578 unsure
Details
Archive description

We performed whole gut metagenomic analysis in 17 Lynch syndrome (LS) families, including colorectal cancer (CRC) patients and their healthy first-degree relatives (Controls). Since bacteria are organized into different networks within the microbiota, we compared related network structures in patients and controls. Experimental Design: Fecal prokaryote DNA was extracted prior to colonoscopy for whole metagenome. We characterized bacteria taxonomy using the Diamond/MEGAN6 pipeline and performed differential abundances using the Shaman website. We constructed networks using SparCC inference tools and validated the construction's accuracy by performing qPCR on selected bacteria Results: Significant differences in bacterial communities in LS-CRC patients were identified, with an enrichment of virulent bacteria and a depletion of symbionts compared to their first-degree relatives. The main bacterial network structures, constructed based on bacteria-bacteria correlations in CRC (pilot study) and in precancerous patients (validation-study, data not deposited here), showed a different pattern than in controls. It was characterized by virulent/symbiotic co-exclusion in both studies and illustrated (validation study) by a higher Escherichia/Bifidobacterium ratio, as assessed by qPCR. Conclusions: Enhanced fecal virulent/symbiotic bacteria ratios influence bacterial network structures. As an early event in colon carcinogenesis, these ratios can be used to identify asymptomatic LS individual with a higher risk of CRC

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult and elderly by sonnet_x2 with confidence 0.75. Assay shotgun_dna.

  • host run.scientific_name · “Homo sapiens”
  • body site study.description · “Fecal prokaryote DNA was extracted”
  • life stage sample.attr.age · “47 (n=26/33)”
  • life stage sample.attr.age · “76 (n=7/33)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA114807790age_at_collection_days28489.5R10.70sample.attr.age78
SAMEA114807790antibiotic_exposurenoR30.60paper.fulltext.resultsAntibiotic therapy was excluded
SAMEA114807790bmi24.0R10.90sample.attr.bmi24
SAMEA114807790collection_date2016R10.90biosample.attribute:collection_date2016
SAMEA114807790countryFRR10.90sample.attr.geographic_location_country_and_or_seaFrance
SAMEA114807790health_conditioncolorectal_cancerR10.90biosample_attrCRC
SAMEA114807790health_condition_detailCRCR10.85biosample.attribute:statusstatus: CRC
SAMEA114807790location_localityParisR30.70paper.fulltext.methodsacademic hospitals in the Paris area
SAMEA114807790location_regionIle-de-FranceR30.70paper.fulltext.methodsacademic hospitals in the Paris area
SAMEA114807790sexfemaleR10.90sample.attr.genderF
Sequencing

33 runs over 33 samples · mean 3.12 Gbp per run (median 3.07 Gbp, total 102.83 Gbp; 33 runs with a base count) · layout SINGLE 33 · platform ILLUMINA 33 · models Illumina HiSeq 2000 (33) · 85% of runs with a Sandpiper profile · first public 2024-01-09

Authors (23)

Sadeghi M first · Mestivier D · Carbonnelle E · Benamouzig R · Khazaie K · Sobhani I last · Zhang Z first · Lu T · Dong B · Liu J · Zhang Y · Li S · Liu H · Li X · Guan T · Guo H · Yan Q · Lei Z · Yu X · Wang L · Kang J · Li L · Zhao D last

Downloads

PRJEB70916.csv.gz (2.0 KB) · parquet (71.7 KB) — all 33 samples, every field with route and confidence · PRJEB70916_determinations.csv.gz (3.0 KB) — 330 evidence rows

Samples (33 · every field this project has values for · hover a cell for its source)
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