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PRJNA749645 SRP329840

Gut metagenome in prostate cancer, UK and Switzerland

Whole genome metagenome of gut microbiota from prostate cancer patients

74 gut metagenome samples from hormone-sensitive vs castration-resistant prostate cancer patients in the United Kingdom and Switzerland, using a case-control design to assess gut microbiota composition and prostate cancer progression. machine-written summary

74 samples · 74 runs · GB, CH · Adult · 2021 · 2.96 Gbp / sample

Sources
✓Sequence archive 592○Abstract / description○Full text○Supplementary tables✓External resources 148–User contribution–Human verified

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

what each source gave
✓ Sequence archive592 sample values (age, collection date, country, latitude, location region, longitude, sex, subject id)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC12876203, PMC13551040
○ Supplementary tablesfiles read; no table could be matched to the samples
✓ External resources148 sample values (health condition, health condition detail) · from curatedMetagenomicData 3 (cMD 3)
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
2 sampling locations · 2 countries
Age
elderly55
adult18
neonate1
Condition
other_cancer74
Sex
male74
Country
GB45
CH29
Body site
primary74
Collected 2010–2019
2010: 1 samples2019: 73 samples20102019
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: 42 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 32 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 2.96 Gbp per sample0130Gbp
Community composition
Prevotella 7.6%Bacteroides 5.5%Finegoldia 3.8%Phocaeicola 3.6%Anaerococcus 3.5%Peptoniphilus_A 3.2%Ruminococcoides 3.0%Faecalibacterium 2.8%Blautia_A 2.6%Roseburia 2.5%Alistipes 2.3%Streptococcus 1.8%not assigned to a genus 9.1%other genera 48.7%

Genera, mean relative abundance over 65 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category74 100%
country74 100%74
health_condition74 100%74
subject_id74 100%74
age_at_collection_days74 100%74
collection_date74 100%74
detailed_location74 100%
health_condition_detail74 100%74
latitude74 100%74
location_region74 100%74
longitude74 100%74
sex74 100%74
Papers (2)
  • Identifying fundamental gaps in functional metagenomics: a step towards unlocking microbiome research potential. 2026 PMID 42712939 PMC13551040 own_data
  • SSTDhunter: a curated gene database for investigating androgen producing potential in microbiota species. 2026 PMID 41660426 PMC12876203 unsure
Details
Archive description

In order to evaluate the effects of gut microbiota composition on prostate cancer progression, we performed whole genome metagenome sequencing on gut microbiota of hormone sensitive prostate cancer vs castration resistant prostate cancer patients.

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 · “genome metagenome of gut microbiota from prostate”
  • body site study.description · “the effects of gut microbiota composition on”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • life stage sample.attr.host_age · “68 (n=56/74)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN20395375age_at_collection_days28854.8R10.70sample.attr.host_age79
SAMN20395375collection_date2019-05-13R10.90biosample.attribute:collection_date2019-05-13
SAMN20395375countryGBR10.90sample.attr.geo_loc_nameUnited Kingdom
SAMN20395375health_conditionother_cancerR20.75external.cmd sourcedisease: Prostate Carcinoma
SAMN20395375health_condition_detailProstate CarcinomaR20.75external.cmd sourcedisease: Prostate Carcinoma
SAMN20395375latitude51.4900R10.90biosample.attribute:lat_lon51.49 N 0.175 W
SAMN20395375location_regionEnglandR10.60biosample.attribute:lat_lon51.49 N 0.175 W
SAMN20395375longitude-0.1750R10.90biosample.attribute:lat_lon51.49 N 0.175 W
SAMN20395375sexmaleR10.90sample.attr.host_sexmale
SAMN20395375subject_id#1R10.85sample.attr.host_subject_id#1
Sequencing

74 runs over 74 samples · mean 3.12 Gbp per run (median 2.96 Gbp, total 230.81 Gbp; 74 runs with a base count) · layout SINGLE 74 · platform ILLUMINA 74 · models NextSeq 500 (74) · 88% of runs with a Sandpiper profile · first public 2021-10-09

Authors (14)

Wang S first · Yang Y · Lei L · Wan R · Su Z · Liu Y · Tang H · Hu G · Li C · Meng J · Yang K last · Tiwari SK first · Telatin A · Singh D last

Downloads

PRJNA749645.csv.gz (3.4 KB) · parquet (74.5 KB) — all 74 samples, every field with route and confidence · PRJNA749645_determinations.csv.gz (7.3 KB) — 740 evidence rows

Samples (74 · every field this project has values for · hover a cell for its source)
Loading the sample table…