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PRJNA626477 SRP321993

Gut microbiome, lung cancer cachexia, Budapest

human gut microbiota Raw sequence reads with and without cancer cachexia

31 stool samples from lung cancer patients in Budapest, Hungary, compared gut microbiome composition and function between those with and without cancer cachexia, in a case-control design. machine-written summary

31 samples · 31 runs · HU · Age unknown · 2021 · 6.12 Gbp / sample

Sources
✓Sequence archive 279○Abstract / description✓Full text 31✓Supplementary tables 61–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive279 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude)
○ Abstract / descriptionread; no usable statement
✓ Full text31 sample values (antibiotic exposure) · PMC8528809, PMC8601557
✓ Supplementary tables61 sample values (age, sex)
– 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
adult18
elderly12
unknown1
Condition
other_cancer31
Sex
male19
female12
Country
HU31
Body site
primary31
Collected 2017–2018
2017: 18 samples2018: 13 samples20172018
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: 31 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 6.12 Gbp per sample0130Gbp
Community composition
Bacteroides 7.7%Phocaeicola 6.3%Faecalibacterium 6.3%Alistipes 5.1%Prevotella 4.9%Roseburia 4.1%Blautia_A 4.0%Akkermansia 3.4%Vescimonas 2.5%Ruminococcoides 2.1%Parabacteroides 1.8%Collinsella 1.5%not assigned to a genus 4.6%other genera 45.7%

Genera, mean relative abundance over 26 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category30 97%
country31 100%31
health_condition31 100%31
subject_id31 100%31
antibiotic_exposure31 100%31
collection_date31 100%31
detailed_location31 100%
health_condition_detail31 100%31
latitude31 100%31
location_locality31 100%31
location_region31 100%31
longitude31 100%31
sex31 100%31
age_at_collection_days30 97%30
Papers (2)
  • Distinct composition and metabolic functions of human gut microbiota are associated with cachexia in lung cancer patients. 2021 PMID 34002024 PMC8528809 own_data
  • Gut microbiome functionality might be associated with exercise tolerance and recurrence of resected early-stage lung cancer patients. 2021 PMID 34793492 PMC8601557 unsure
Details
Archive description

Cachexia is associated with decreased survival in cancer patients and has a prevalence of up to 80%. In this study, we applied shotgun metagenomics to collected stool samples from lung cancer patients with known cachexia status, aiming for a deeper understanding of the role of human gut microbiome in cachexia under clinical settings.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.85. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • host study.title · “human gut microbiota Raw sequence reads”
  • body site study.description · “collected stool samples”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN19462002age_at_collection_days22280.0R20.85paper.supp.41396_2021_998_MOESM1_ESM.docx[table1!Age]Age: 61
SAMN19462002antibiotic_exposurenoR30.70paper.fulltext.methodsno antibiotics usage 60 days prior to stool sample collection
SAMN19462002collection_date2017R10.90biosample.attribute:collection_date2017
SAMN19462002countryHUR10.90sample.attr.geo_loc_nameHungary: Budapest
SAMN19462002health_conditionother_cancerR10.85biosample.attribute:descriptionNon-cachexia
SAMN19462002health_condition_detailNon-cachexiaR10.85biosample.attribute:descriptionNon-cachexia
SAMN19462002latitude47.4979R10.90biosample.attribute:lat_lon47.4979 N 19.0402 E
SAMN19462002location_localityBudapestR10.85biosample.attribute:geo_loc_nameHungary: Budapest
SAMN19462002location_regionBudapestR10.60biosample.attribute:lat_lon47.4979 N 19.0402 E
SAMN19462002longitude19.0402R10.90biosample.attribute:lat_lon47.4979 N 19.0402 E
SAMN19462002sexmaleR20.85paper.supp.41396_2021_998_MOESM1_ESM.docx[table1!Gender]Gender: M
SAMN19462002subject_id03MTR10.85biosample.attribute:TITLESubject ID 03MT Non-cachexia
Sequencing

31 runs over 31 samples · mean 5.88 Gbp per run (median 6.12 Gbp, total 182.14 Gbp; 31 runs with a base count) · layout PAIRED 31 · platform ILLUMINA 31 · models Illumina HiSeq 4000 (31) · 84% of runs with a Sandpiper profile · first public 2021-06-08

Authors (16)

Ni Y first · Lohinai Z · Heshiki Y · Dome B · Moldvay J · Dulka E · Galffy G · Berta J · Weiss GJ · Sommer MOA · Panagiotou G last · Marfil-Sánchez A first · Seelbinder B · Varga J · Hollosi V · Megyesfalvi Z

Downloads

PRJNA626477.csv.gz (1.9 KB) · parquet (71.8 KB) — all 31 samples, every field with route and confidence · PRJNA626477_determinations.csv.gz (3.7 KB) — 371 evidence rows

Samples (31 · every field this project has values for · hover a cell for its source)
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