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PRJNA1314234 SRP616607

Gut microbiome in ICI-treated cancer patients, Canada

Human and mouse gut microbiome sequencing datasets related to immune checkpoint inhibitor therapy and immune-related adverse events.

194 fecal samples from melanoma/NSCLC patients in Quebec and Ontario, Canada, plus antibiotic-pretreated, FMT-recipient mice; case-control design examining gut microbiome links to immune-related adverse events during checkpoint inhibitor therapy. machine-written summary

194 samples · 194 runs · CA · Age unknown · 2025 · 3.05 Gbp / sample

Sources
✓Sequence archive 1,164✓Abstract / description 194○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 archive1,164 sample values (collection date, country, latitude, location region, longitude, subject id)
✓ Abstract / description194 sample values (health condition detail)
○ Full textread; no usable statement or table · PMC13288583
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet · share metadata
– Human verifiednot yet checked by a person · I checked this project — verify it
Interventions

intervention — arms not resolved

Antibiotic given as the study intervention (incl. eradication therapy Faecal microbiota transplantation design single_arm_before_after · population other_cancer · FMT from ir-colitis patient into antibiotic-pretreated tumor-bearing mice

“received fecal microbiota transfer (FMT) from a lung cancer patient” — bioproject.description (study level; per-sample arms are in the intervention column below)

Samples at a glance
2 sampling locations · 1 country
Age
unknown194
Country
CA194
Body site
primary194
Collected 2018–2022
2018: 39 samples2019: 68 samples2020: 54 samples2021: 31 samples2022: 2 samples20182022
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: 93 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 78 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 22 samplesall projects, 30–100 Gbp: 3,024 samples (1 %)this project, 30–100 Gbp: 1 samplesall projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 3.05 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

30 of 156 people sampled more than once (68 samples; median 2, up to 4 per person) · follow-up median 4 mo (max 22 mo) · median interval between samples 4 mo (time from collection dates). Schedule stated by the source: “Paired stool samples per patient: baseline before ICI initiation and at onset of acute ir-colitis (n=9 patients with both timepoints)”.

600006600006: day 0600006: day 189600006: day 334600021600021: day 0600021: day 168600021: day 313600030600030: day 0600030: day 268600037600037: day 0600037: day 462600056600056: day 0600056: day 664600108600108: day 0600108: day 280600109600109: day 0600109: day 102600135600135: day 0600135: day 205600137600137: day 0600137: day 128600145600145: day 0600145: day 168600149600149: day 0600149: day 180600150600150: day 0600150: day 131600157600157: day 0600157: day 111600160600160: day 0600160: day 115600162600162: day 0600162: day 211600177600177: day 0600177: day 147600184600184: day 0600184: day 126600186600186: day 0600186: day 105600202600202: day 0600202: day 298600233600233: day 0600233: day 126600234600234: day 0600234: day 37600234: day 92600235600235: day 0600235: day 44600235: day 102600239600239: day 0600239: day 35600240600240: day 0600240: day 42600240: day 119600242600242: day 0600242: day 41600244600244: day 0600244: day 50600584600584: day 0600584: day 252600594600594: day 0600594: day 890 d5 mo11 mo16 mo22 mo

Each row is one person (28 shown of 30); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 12.7%Phocaeicola 8.8%Alistipes 5.1%Prevotella 4.5%Roseburia 3.7%Faecalibacterium 3.4%Parabacteroides 3.0%Blautia_A 2.7%Akkermansia 2.5%Ruminococcoides 2.1%Vescimonas 1.8%Mediterraneibacter 1.5%not assigned to a genus 6.6%other genera 41.5%

Genera, mean relative abundance over 190 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country194 100%194
health_condition0 0%
subject_id194 100%194
collection_date194 100%194
detailed_location194 100%
health_condition_detail194 100%194
latitude194 100%194
location_region194 100%194
longitude194 100%194
Papers (1)
  • Metagenomics and culturomics reveal the dual role of the gut microbiome in the development of immune-related toxicities and the efficacy of immune checkpoint inhibitors in cancer. 2026 PMID 42083059 PMC13288583 own_data
Details
Archive description

This project includes human and mouse gut microbiome sequencing datasets investigating the role of the microbiome in the development of immune-related adverse events (irAE) and immune checkpoint inhibitors (ICI) efficacy.</p><p>The human dataset consists of shotgun metagenomic sequencing data from fecal samples of patients with non-small cell lung cancer and melanoma treated with ICI. Samples were collected at baseline, prior to ICI initiation and before the onset of irAEs. These data support analyses of baseline microbiome taxonomic composition of cancer patient to assess predictive potential for irAE development and associations with treatment efficacy.</p><p>The mouse dataset contains 16S rRNA gene (V3-V4 region) sequencing data from fecal samples of tumor-bearing mice that received fecal microbiota transfer (FMT) from a lung cancer patient who developed immune-related colitis. All mice, including water-treated controls, were pretreated with antibiotics. Fecal samples were collected four weeks after FMT, corresponding to the time after the second ICI administration. These data provide complementary insights into the contribution of the gut microbiome to irAE pathogenesis in the context of cancer immunotherapy.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.75. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • host study.description · “fecal samples of patients with non-small cell lung cancer”
  • body site study.description · “fecal samples of patients”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN50925194collection_date2019-05-17R10.90biosample.attribute:collection_date2019-05-17
SAMN50925194countryCAR10.90sample.attr.geo_loc_nameCanada: Ontario
SAMN50925194health_condition_detailmixed_case_control: melanoma and NSCLC patients with grade ≥2 irAE vs without grade ≥2 irAER40.50paper.abstractmelanoma and non-small cell lung cancer
SAMN50925194latitude43.7228R10.90biosample.attribute:lat_lon43.7228 N 79.3729 W
SAMN50925194location_regionOntarioR10.85biosample.attribute:geo_loc_nameCanada: Ontario
SAMN50925194longitude-79.3729R10.90biosample.attribute:lat_lon43.7228 N 79.3729 W
SAMN50925194subject_id002_PreC1R10.85biosample.attribute:source_material_id002_PreC1
Sequencing

194 runs over 194 samples · mean 4.74 Gbp per run (median 3.05 Gbp, total 919.27 Gbp; 194 runs with a base count) · layout SINGLE 149, PAIRED 45 · platform ILLUMINA 194 · models Illumina NovaSeq 6000 (194) · 98% of runs with a Sandpiper profile · first public 2025-09-17 – 2025-09-21

Authors (20)

Diop K first · Benlaïfaoui M · Hunter S · Méndez-Salazar EO · Hakozaki T · Richard C · Prifti DK · Kourtian S · Proulx-Rocray F · Naimi S · Ponce M · Messaoudene M · Cauchois F · Belkaid W · Bataille V · Lee K · Mihalcioiu C · Watson IR · Elkrief A · Routy B last

Help complete this project

2 of the 4 core fields are below 50% coverage: age_category, health_condition. Share metadata

Downloads

PRJNA1314234.csv.gz (6.9 KB) · parquet (79.6 KB) — all 194 samples, every field with route and confidence · PRJNA1314234_determinations.csv.gz (11.2 KB) — 1,358 evidence rows

Samples (194 · every field this project has values for · hover a cell for its source)
Loading the sample table…