Gut microbiota and colorectal cancer in China
68 gut metagenome samples from China, studying bacterial metabolites from the gut microbiota and their relation to colorectal cancer tumor growth and progression. machine-written summary
69 samples · 69 runs · CN · Age unknown · 2026 · 10.49 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 273 sample values (collection date, country, health condition, health condition detail) |
| – Abstract / description | no abstract or project description |
| – Full text | no open-access full text linked |
| – Supplementary tables | no supplementary tables available (or none open access) |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet · share metadata |
| – Human verified | not yet checked by a person · I checked this project — verify it |
intervention — arms not resolved
design observational_with_procedure
No Sandpiper profile for this project's samples yet.
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 0 | 0% | ||||
| country | 69 | 100% | 69 | |||
| health_condition | 68 | 99% | 68 | |||
| subject_id | 0 | 0% | ||||
| collection_date | 68 | 99% | 68 | |||
| health_condition_detail | 68 | 99% | 68 |
Archive description
Bacterial metabolites derived from the gut microbiota can modulate key metabolic pathways, thereby influencing tumor growth and progression, which contributes to the alleviation of colorectal cancer. These metabolites play a crucial role in shaping the metabolic environment of the tumor, offering potential therapeutic strategies for managing colorectal cancer
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.60. Assay shotgun_dna.
- host study.title · “Metabolites derived from the gut microbiota alleviate colorectal cancer”
- body site run.scientific_name · “gut metagenome”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA116293762 | collection_date | 2023-04-29 | R1 | 0.90 | biosample.attribute:collection_date | 2023-04-29 |
| SAMEA116293762 | country | CN | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | China |
| SAMEA116293762 | health_condition | colorectal_cancer | R1 | 0.85 | biosample.attribute:description | description: Stool sample of human from CRC |
| SAMEA116293762 | health_condition_detail | Stool sample of human from CRC | R1 | 0.85 | biosample.attribute:description | description: Stool sample of human from CRC |
Sequencing
69 runs over 69 samples · mean 11.05 Gbp per run (median 10.49 Gbp, total 762.19 Gbp; 69 runs with a base count) · layout PAIRED 69 · platform ILLUMINA 69 · models Illumina MiSeq (69) · 0% of runs with a Sandpiper profile · first public 2026-05-31
Authors (0)
No author record.
Help complete this project
2 of the 4 core fields are below 50% coverage: age_category, subject_id. Share metadata
Downloads
PRJEB81237.csv.gz (2.5 KB) · parquet (72.1 KB) — all 69 samples, every field with route and confidence · PRJEB81237_determinations.csv.gz (2.0 KB) — 273 evidence rows