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PRJNA1065874 SRP484725

Fecal metagenomes in gastric cancer vs chronic gastritis, Taiwan

Gut microbiome associated with gastric cancer and chronic gastritis

65 fecal samples from adults and elderly patients in Taipei, Taiwan, comparing gut microbiome features between gastric cancer and chronic gastritis patients; case-control design. machine-written summary

65 samples · 65 runs · TW · Age unknown · 2024 · 7.12 Gbp / sample

Sources
✓Sequence archive 650○Abstract / description✓Full text 130○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 archive650 sample values (age, collection date, country, health condition, health condition detail, latitude, location locality, location region)
○ Abstract / descriptionread; no usable statement
✓ Full text130 sample values (antibiotic exposure, subject id) · PMC11040827
○ 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
adult36
elderly29
Condition
other_disease33
other_cancer32
Sex
female42
male23
Country
TW65
Body site
primary65
Collected 2020–2022
2020: 13 samples2021: 31 samples2022: 21 samples20202022
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 %)all projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 61 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 4 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 7.12 Gbp per sample0130Gbp
Community composition
Phocaeicola 11.1%Bacteroides 9.5%Streptococcus 6.7%Prevotella 6.0%Blautia_A 5.3%Escherichia 4.9%Faecalibacterium 3.8%Bifidobacterium 3.8%Alistipes 3.4%Collinsella 2.2%Mediterraneibacter 1.8%Roseburia 1.8%not assigned to a genus 4.0%other genera 35.7%

Genera, mean relative abundance over 57 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category65 100%
country65 100%65
health_condition65 100%65
subject_id65 100%65
age_at_collection_days65 100%65
antibiotic_exposure65 100%65
collection_date65 100%65
detailed_location65 100%
health_condition_detail65 100%65
latitude65 100%65
location_locality65 100%65
location_region65 100%65
longitude65 100%65
sex65 100%65
Papers (1)
  • Microbiome signatures associated with clinical stages of gastric Cancer: whole metagenome shotgun sequencing study. 2024 PMID 38658841 PMC11040827 own_data
Details
Archive description

To identify the differential abundance of gut microbiome features in the patients with gastric cancer compared to the patients with different stages of chronic gastritis.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult and elderly by sonnet_x2 with confidence 0.72. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.title · “Gut microbiome associated with gastric cancer”
  • life stage sample.attr.age · “47 (n=33/65)”
  • life stage sample.attr.age · “70 (n=31/65)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN39472272age_at_collection_days19711.0R10.85sample.attr.age54
SAMN39472272antibiotic_exposurenoR30.70paper.fulltext.methodsintensive antibiotic treatments within 6 months before fecal sample collection
SAMN39472272collection_date2021-02-19R10.90biosample.attribute:collection_date2021-02-19
SAMN39472272countryTWR10.90sample.attr.geo_loc_nameTaiwan:Taipei
SAMN39472272health_conditionother_diseaseR10.70sample.name_rule:classgastritis_intestinalmetaplasia1
SAMN39472272health_condition_detailgastritis_intestinalmetaplasiaR10.70sample.name_rule:classgastritis_intestinalmetaplasia1
SAMN39472272latitude25.0330R10.90biosample.attribute:lat_lon25.0330 N 121.5654 E
SAMN39472272location_localityTaipeiR10.85biosample.attribute:geo_loc_nameTaiwan:Taipei
SAMN39472272location_regionTaipeiR10.60biosample.attribute:lat_lon25.0330 N 121.5654 E
SAMN39472272longitude121.5654R10.90biosample.attribute:lat_lon25.0330 N 121.5654 E
SAMN39472272sexmaleR10.90sample.attr.sexmale
SAMN39472272subject_idSAMN39472272R30.75design.one_sample_per_subject:fulltextthe cross-sectional approach itself has limitations portraying only a snapshot of the time we collected the fecal samples
Sequencing

65 runs over 65 samples · mean 7.55 Gbp per run (median 7.12 Gbp, total 490.76 Gbp; 65 runs with a base count) · layout PAIRED 65 · platform ILLUMINA 65 · models Illumina HiSeq 3000 (65) · 88% of runs with a Sandpiper profile · first public 2024-01-21

Authors (17)

Jeong S first · Liao YT · Tsai MH · Wang YK · Wu IC · Liu CJ · Wu MS · Chan TS · Chen MY · Hu PJ · Kao WY · Liu HC · Tsai MJ · Liu CY · Chang CC · Wu DC · Hsu YH last

Downloads

PRJNA1065874.csv.gz (3.1 KB) · parquet (74.7 KB) — all 65 samples, every field with route and confidence · PRJNA1065874_determinations.csv.gz (6.7 KB) — 780 evidence rows

Samples (65 · every field this project has values for · hover a cell for its source)
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