Home › Studies › PRJNA1229669
PRJNA1229669 SRP566940

Gut metagenomes in R/R-DLBCL patients on CAR-T therapy, Seoul

Gut microbiome shotgun metagenome data from DLBCL patients receiving CAR-T therapy

89 longitudinal stool/serum shotgun metagenome samples from relapsed/refractory DLBCL patients in Seoul, Korea, collected around CAR-T cell therapy to study gut microbiome links to treatment response and toxicity. machine-written summary

89 samples · 89 runs · KR · Adult · 2025 · 10.64 Gbp / sample

Sources
✓Sequence archive 623✓Abstract / description 178○Full text○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 archive623 sample values (age, collection date, country, latitude, location region, longitude, subject id)
✓ Abstract / description178 sample values (health condition, health condition detail)
○ Full textread; no usable statement or table · PMC12955626
○ 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
adult64
elderly25
Condition
other_disease89
Country
KR89
Body site
primary89
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: 17 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 72 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 10.64 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

33 of 56 people sampled more than once (66 samples; median 2, up to 2 per person). Schedule stated by the source: “Fecal/serum collected at baseline before apheresis (pretreatment, n=47) and 1 month after CAR T-cell infusion (posttreatment, n=32)”; stated follow-up 30 d.

How longitudinal and relatedness information is derived

Community composition
Faecalibacterium 8.6%Phocaeicola 7.8%Bacteroides 7.3%Prevotella 7.2%Escherichia 4.5%Bifidobacterium 3.1%Klebsiella 3.0%Citrobacter 3.0%Alistipes 2.9%Roseburia 2.8%Enterococcus_B 2.5%Lachnospira 2.1%not assigned to a genus 5.1%other genera 40.1%

Genera, mean relative abundance over 85 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category89 100%
country89 100%89
health_condition89 100%89
subject_id89 100%89
age_at_collection_days89 100%89
collection_date89 100%89
detailed_location89 100%
health_condition_detail89 100%89
latitude89 100%89
location_region89 100%89
longitude89 100%89
Papers (1)
  • Microbiome and metabolite biomarkers of CAR T-cell therapy outcomes in relapsed/refractory diffuse large B-cell lymphoma. 2026 PMID 41364878 PMC12955626 own_data
Details
Archive description

Gut microbiome shotgun metagenome data from DLBCL patients receiving CAR-T therapy

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 · “Gut microbiome shotgun metagenome”
  • body site study.description · “Gut microbiome shotgun metagenome”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • life stage sample.attr.host_age · “71 (n=23/89)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN47141066age_at_collection_days22627.0R10.85sample.attr.host_age62
SAMN47141066collection_date2023-09-01R10.90biosample.attribute:collection_date2023-09-01
SAMN47141066countryKRR10.90sample.attr.geo_loc_nameKorea: Seoul
SAMN47141066health_conditionother_diseaseR40.50paper.abstractpatients with R/R-DLBCL
SAMN47141066health_condition_detailrelapsed/refractory diffuse large B-cell lymphomaR40.50paper.abstractrelapsed/refractory diffuse large B-cell lymphoma (R/R-DLBCL)
SAMN47141066latitude37.4800R10.90biosample.attribute:lat_lon37.48 N 127.09 E
SAMN47141066location_regionSeoulR10.85biosample.attribute:geo_loc_nameKorea: Seoul
SAMN47141066longitude127.0900R10.90biosample.attribute:lat_lon37.48 N 127.09 E
SAMN47141066subject_id052R10.70sample.name_rule:aliasalias: SMCYSE-RD-052-1
Sequencing

89 runs over 89 samples · mean 10.93 Gbp per run (median 10.64 Gbp, total 972.61 Gbp; 89 runs with a base count) · layout PAIRED 89 · platform ILLUMINA 89 · models Illumina NovaSeq X (89) · 96% of runs with a Sandpiper profile · first public 2025-03-02 – 2025-03-03

Authors (17)

Yoon SE first · Kang W · Cho J · Cho HJ · Chalita M · Oh HS · Hyun DW · Han S · Kim H · Sung H · Lee JY · Park B · Ryu KJ · Kim HY · Cho D · Kim WS · Kim SJ last

Downloads

PRJNA1229669.csv.gz (3.5 KB) · parquet (74.4 KB) — all 89 samples, every field with route and confidence · PRJNA1229669_determinations.csv.gz (6.4 KB) — 801 evidence rows

Samples (89 · every field this project has values for · hover a cell for its source)
Loading the sample table…