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PRJNA731589 SRP320766

Gut metagenome in CRC vs healthy adults, Shanghai, China

Metagenomic sequencing of microbial DNA extracted from stool samples of CRC and HS

172 fecal metagenome samples from colorectal cancer patients and healthy controls in Shanghai, China, in a case-control study of gut microbial and fungal associations with colorectal cancer. machine-written summary

172 samples · 172 runs · CN · Adult · 2022 · 10.97 Gbp / sample

Sources
✓Sequence archive 1,700○Abstract / description✓Full text 172✓Supplementary tables 162–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive1,700 sample values (age, bmi, collection date, country, health condition, health condition detail, latitude, location locality)
○ Abstract / descriptionread; no usable statement
✓ Full text172 sample values (location site) · PMC10239823, PMC10436198, PMC11510655, PMC11995172, PMC12090783, PMC12283368, PMC12907713, PMC12992544, PMC13188911, PMC13281578, PMC13381771, PMC13383993, PMC13561539, PMC8813618
✓ Supplementary tables162 sample values (sex)
– 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
adult134
elderly38
Condition
healthy_control86
colorectal_cancer84
Sex
male103
female65
Country
CN172
Body site
primary172
Collected 2018–2019
2018: 92 samples2019: 80 samples20182019
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 1 samplesall 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 %)all projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 49 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 122 samplesall 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 10.97 Gbp per sample0130Gbp
! Self-contradictory metadata

health condition: sample names and GMrepo disagree for 2 samples (e.g. healthy_control vs colorectal_cancer) — withheld.

The sources disagree on 2 samples. Where two incompatible values exist for one sample (or one person's samples disagree on sex), neither value is published: the field is left empty here, in the sample sheet and in the downloads. Both sides, with their sources, are in gut_metadata_contradictions.parquet of the data package (what counts as a contradiction).

Contradicted values (2)
samplefieldvalueother valuehandling
SAMN37757529health conditionhealthy_control (sample names)colorectal_cancer (GMrepo)withheld: neither value published
SAMN37757530health conditionhealthy_control (sample names)colorectal_cancer (GMrepo)withheld: neither value published
Community composition
Faecalibacterium 8.0%Bacteroides 7.9%Phocaeicola 7.9%Escherichia 7.2%Prevotella 6.3%Gemmiger 4.2%Roseburia 3.7%Alistipes 2.3%Megamonas 2.0%Lachnospira 2.0%Streptococcus 1.9%Klebsiella 1.9%not assigned to a genus 3.7%other genera 41.0%

Genera, mean relative abundance over 159 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category172 100%
country172 100%172
health_condition170 99%170
subject_id0 0%
age_at_collection_days172 100%172
collection_date172 100%172
detailed_location172 100%
health_condition_detail172 100%172
location_locality172 100%172
location_site172 100%172
sex168 98%6162
bmi166 97%166
latitude166 97%166
location_region166 97%166
longitude166 97%166
Papers (14)
  • Gut fungal landscape in colorectal cancer and its cross-kingdom interplay with gut microbial ecology. 2026 PMID 41704769 PMC12907713 own_data
  • Enhanced microbiota-derived mucinases in colorectal cancer patients revealed by gut metagenome probing coupled with functional validation. 2026 PMID 41940696 PMC13188911 own_data
  • Multi-kingdom microbiota analyses identify bacterial-fungal interactions and biomarkers of colorectal cancer across cohorts. 2022 PMID 35087227 PMC8813618 unsure
  • Metagenomic analysis reveals gut plasmids as diagnosis markers for colorectal cancer. 2023 PMID 37283932 PMC10239823 unsure
  • Taxonomic and functional profiling of fecal metagenomes for the early detection of colorectal cancer. 2023 PMID 37601681 PMC10436198 unsure
9 more
  • Oral Microbial Translocation Genes in Gastrointestinal Cancers: Insights from Metagenomic Analysis. 2024 PMID 39458395 PMC11510655
  • Transmission of antimicrobial resistance genes from the environment to human gut is more pronounced in colorectal cancer patients than in healthy subjects. 2025 PMID 40236771 PMC11995172
  • Temporal network analysis of gut microbiota unveils aging trajectories associated with colon cancer. 2025 PMID 40298386 PMC12090783
  • Pooled analysis of 3,741 stool metagenomes from 18 cohorts for cross-stage and strain-level reproducible microbial biomarkers of colorectal cancer. 2025 PMID 40461820 PMC12283368
  • Distinct prophage infections in colorectal cancer-associated Bacteroides fragilis. 2026 PMID 41654659 PMC12992544
  • Instance-based transfer learning enables cross-cohort early detection of colorectal cancer. 2026 PMID 42106361 PMC13381771
  • Gut fungal signatures in colorectal cancer and their potential for supporting diagnosis: a multi-cohort metagenomic analysis. 2026 PMID 42271362 PMC13281578
  • Metagenome analysis reveals multi-kingdom gut microbiota as diagnostic markers for colorectal cancer. 2026 PMID 42519695 PMC13383993
  • Fedflow: cloud orchestration for federated learning with the FeatureCloud platform. 2026 PMID 42725323 PMC13561539
Details
Archive description

Microbial DNA extracted from fecal sample from CRC patients and healthy subjects.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult and elderly by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • body site study.title · “DNA extracted from stool samples of CRC”
  • body site study.description · “DNA extracted from fecal sample from CRC”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • life stage sample.attr.host_age · “65y (n=61/172)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN19290898age_at_collection_days17532.0R10.90sample.attr.host_age48y
SAMN19290898bmi24.19R10.90sample.attr.host_body_mass_index24.187
SAMN19290898collection_date2019R10.90biosample.attribute:collection_date2019
SAMN19290898countryCNR10.90sample.attr.geo_loc_nameChina: Shanghai
SAMN19290898health_conditioncolorectal_cancerR10.70sample.name_rule:aliasCRC_1
SAMN19290901health_conditioncolorectal_cancerR10.70sample.name_rule:library_nameCRC_4
SAMN19290898health_condition_detailCRCR10.70sample.name_rule:aliasCRC_1
SAMN19290901health_condition_detailCRCR10.70sample.name_rule:library_nameCRC_4
SAMN37757529health_condition_detailHSR10.70sample.name_rule:isolateHS_110
SAMN19290898latitude31.1900R10.90biosample.attribute:lat_lon31.19 N 121.45 E
SAMN19290898location_localityShanghaiR10.85biosample.attribute:geo_loc_nameChina: Shanghai
SAMN19290898location_regionShanghai ShiR10.60biosample.attribute:lat_lon31.19 N 121.45 E
SAMN19290898location_siteHuzhou Central HospitalR30.70paper.fulltext.methodsrecruited from Huzhou Central Hospital between January 2022 and December 2023
SAMN19290898longitude121.4500R10.90biosample.attribute:lat_lon31.19 N 121.45 E
SAMN37757529sexmaleR10.90sample.attr.sexmale
SAMN19290899sexmaleR20.75paper.supp.41591_2025_3693_MOESM2_ESM.xlsx[Table 2!Sex]Sex: male
Sequencing

172 runs over 172 samples · mean 10.98 Gbp per run (median 10.97 Gbp, total 1,887.91 Gbp; 172 runs with a base count) · layout PAIRED 172 · platform ILLUMINA 172 · models Illumina NovaSeq 6000 (172) · 93% of runs with a Sandpiper profile · first public 2022-01-30 – 2023-10-12

Authors (48)

Chen Z first · Zhang Z · Nie BN · Huang W · Zhu Y · Zhang L · Xu M · Wang M · Yuan C · Liu N · Wang X · Tian J · Ba Q · Wang Z last · Yinhang W first · Xueli J · Zheng W · Xiaojian Y · Shu X · Qingjie Z · Ying L · Shuwen H last · Li Y first · Zhang H · Xiang B · Zhang Y · Zhang M last · Lu T · Dong B · Liu J · 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 · Weilguny L first · Probul N · Ren Y · Pons N · Baumbach J · Almeida M last

Downloads

PRJNA731589.csv.gz (6.2 KB) · parquet (79.1 KB) — all 172 samples, every field with route and confidence · PRJNA731589_determinations.csv.gz (16.0 KB) — 2,034 evidence rows

Samples (172 · every field this project has values for · hover a cell for its source)
Loading the sample table…