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PRJNA1042648 SRP472802

Gut microbiota in advanced NSCLC, Paris, case-control

Metabolic tumor burden assessed by [18F] FDG - PET CT scan as a predictive biomarker for immune checkpoint blockers in advanced NSCLC and its biological correlates: a multicentric study.

60 samples from Paris, France, from advanced non-small cell lung cancer patients undergoing drug therapy, studied as part of a case-control design examining gut microbiota alongside PET-CT metabolic tumor burden. machine-written summary

60 samples · 60 runs · FR · Age unknown · 2024 · 3.11 Gbp / sample

Sources
✓Sequence archive 480–Abstract / description–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 archive480 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude)
– Abstract / descriptionno abstract or project description
– Full textno open-access full text linked
– Supplementary tablesno supplementary tables available (or none open access)
– 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

Non-antibiotic pharmaceutical given as the study intervention (metformin design observational_with_procedure · population other_cancer · Immune checkpoint blockers and/or chemotherapy for NSCLC

“first line treatment with ICBs, chemotherapy plus ICBs” — bioproject.description (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 sampling locations · 1 country
Age
unknown60
Condition
other_cancer60
Country
FR60
Body site
primary60
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: 25 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 35 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 3.11 Gbp per sample0130Gbp
Community composition

No Sandpiper profile for this project's samples yet.

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country60 100%60
health_condition60 100%60
subject_id0 0%
collection_date60 100%60
detailed_location60 100%
health_condition_detail60 100%60
latitude60 100%60
location_locality60 100%60
location_region60 100%60
longitude60 100%60
Details
Archive description

Introduction: Only a proportion of patients with advanced non-small cell lung cancer (NSCLC) benefit from immune checkpoint blockers (ICBs). Biomarkers other than PD-L1 expression biomarkers are required to guide treatment strategy with ICB as monotherapy or in combination, especially in high PDL1 NSCLC. This study aimed to explore metabolic tumor volume MTV as assessed 18F-fluorodeoxyglucose positron emission tomography-computed tomography (18F FDG-PET-CT), and understand its biological meaning in patients with NSCLC exposed to chemotherapy and or ICBs.</p><p>Materials and methods: In this multicentric retrospective cohort study, patients with advanced NSCLC and a positive PET scan within 42 days of first line treatment with ICBs, chemotherapy plus ICBs or chemotherapy alone were enrolled in 12 institutions across 4 countries. Total MTV (tMTV) was analyzed, with a 42 percent SUVmax threshold. Survival was analyzed according to high tMTV (greater than or equal to median). Cytokines, T cell senescence, RNA sequencing and gut microbiota analyses were performed in three independent monocentric cohorts.</p><p>Results: Of the 518 patients included, 167 received ICBs, 257 had chemotherapy plus ICBs, and 94 had chemotherapy. Median tMTV was 99 cm3. No correlation was found between PD-L1 expression and tMTV. Median overall survival OS for patients with high tMTV treated with ICBs was 11.4 months 95 percent CI 8.4 - 19.1) vs 33.1 months (95 percent CI 22.6 - NR, P = lower than 0.0001) for those with low tMTV. In patients receiving chemotherapy-ICB tMTV did not correlate with OS (P = 0.099). In patients with PD-L1 greater than or equal to 1 percent NSCLC and high tMTV, chemotherapy-ICB combination was associated with longer OS compared with ICBs alone (20 vs 11.4 months, p = 0.026), while no survival differences observed in low tMTV group. High tMTV correlated with a specific inflammatory signals (elevated serum neutrophils, CRP, CCL23, LIF and TGF-alpha), while no correlation was found with gene alterations or TMB, with T cell senescence and with intestinal microbiota. At the lesion level, high MTV correlated with suppressed expression of immune response related pathways and reduced immune infiltrate.</p><p>Conclusion: Our analysis indicates high tTMV is linked to a negative immune environment. tTMV is therefore an independent biomarker to predict ICBs monotherapy benefit, and may serve to select the best upfront strategy in patients with PD-L1 high advanced NSCLC.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.55. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • host study.description · “patients with advanced NSCLC”
  • body site study.description · “gut microbiota analyses were performed”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN38315923collection_date2023R10.90biosample.attribute:collection_date2023
SAMN38315923countryFRR10.90sample.attr.geo_loc_nameFrance: Paris
SAMN38315923health_conditionother_cancerR10.85biosample_attrNSCLC
SAMN38315923health_condition_detailNSCLCR10.90sample.attr.host_diseaseNSCLC
SAMN38315923latitude48.7900R10.90biosample.attribute:lat_lon48.79 N 2.34 E
SAMN38315923location_localityParisR10.85biosample.attribute:geo_loc_nameFrance: Paris
SAMN38315923location_regionIle-de-FranceR10.60biosample.attribute:lat_lon48.79 N 2.34 E
SAMN38315923longitude2.3400R10.90biosample.attribute:lat_lon48.79 N 2.34 E
Sequencing

60 runs over 60 samples · mean 3.07 Gbp per run (median 3.11 Gbp, total 184.46 Gbp; 60 runs with a base count) · layout SINGLE 60 · platform ION_TORRENT 60 · models Ion Torrent S5 XL (60) · 0% of runs with a Sandpiper profile · first public 2024-09-29

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

PRJNA1042648.csv.gz (2.3 KB) · parquet (71.6 KB) — all 60 samples, every field with route and confidence · PRJNA1042648_determinations.csv.gz (3.0 KB) — 480 evidence rows

Samples (60 · every field this project has values for · hover a cell for its source)
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