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PRJNA672867 SRP292135

FMT with anti-PD-1 therapy in melanoma, Pittsburgh adults

Effectiveness of Fecal Microbiota Transplant together with PD-1 blockade in overcoming resistance to anti-PD-1 therapy in advanced melanoma patients

216 fecal samples from adult and elderly melanoma patients and donors in Pittsburgh, USA, studying fecal microbiota transplant combined with PD-1 blockade drug therapy in an intervention design. machine-written summary

216 samples · 216 runs · US · Adult · 2020 · 2.19 Gbp / sample · cohort Dietary fiber and probiotics influence the gut mic

Sources
✓Sequence archive 2,841○Abstract / description○Full text✓Supplementary tables 183–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive2,841 sample values (age, collection date, country, health condition, health condition detail, intervention, intervention detail, latitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC8097968, PMC9477264
✓ Supplementary tables183 sample values (subject id)
– 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
Interventions

intervention · arms resolved

before · no interventionbefore · no interventi49 samplesFMTFMT167 samples
single arm: samples before and on the intervention

15 people have samples in more than one arm.

Non-antibiotic pharmaceutical given as the study intervention (metformin Faecal microbiota transplantation design single_arm_before_after · population other_cancer · Responder-derived FMT combined with anti-PD-1 therapy in refractory melanoma

“responder-derived fecal microbiota transplantation (FMT) together with anti-PD-1” — abstract:33542131 (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 sampling locations · 1 country
Age
adult134
elderly82
Condition
other_cancer216
Sex
male151
female65
Country
US216
Body site
primary216
Collected 2018–2020
2018: 21 samples2019: 172 samples2020: 23 samples20182020
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 %)this project, 0.3–1 Gbp: 6 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 178 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 2.19 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinalFMT donor → recipient

24 of 33 people sampled more than once (207 samples; median 6, up to 35 per person) · follow-up median 6 mo (max 2.0 y) · median interval between samples 8 d (time from collection dates). Schedule stated by the source: “Pre-FMT (7 to 21 days prior FMT) and longitudinal post-FMT (weekly collected for 12 weeks and then every 3 weeks, if available), up to 535 days post FMT” (time origin: transplant); stated follow-up 18 mo.

PT-18-0002PT-18-0002: day 0PT-18-0002: day 97PT-18-0002: day 206PT-18-0005PT-18-0005: day 0PT-18-0005: day 0PT-18-0005: day 0PT-18-0005: day 0PT-18-0005: day 365PT-18-0005: day 365PT-18-0006PT-18-0006: day 0PT-18-0006: day 365PT-18-0007PT-18-0007: day 0PT-18-0007: day 0PT-18-0007: day 0PT-18-0007: day 0PT-18-0007: day 0PT-18-0007: day 0PT-18-0007: day 0PT-18-0007: day 0PT-18-0007: day 0PT-18-0007: day 0PT-18-0007: day 356PT-18-0007: day 356PT-18-0007: day 356PT-18-0007: day 356PT-18-0007: day 731PT-18-0008PT-18-0008: day 0PT-18-0008: day 125PT-18-0008: day 238PT-18-0012PT-18-0012: day 0PT-18-0012: day 376PT-18-0014PT-18-0014: day 0PT-18-0014: day 365PT-18-0018PT-18-0018: day 0PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0018: day 365PT-18-0019PT-18-0019: day 0PT-18-0019: day 5PT-18-0021PT-18-0021: day 0PT-18-0021: day 365PT-18-0031PT-18-0031: day 0PT-18-0031: day 99PT-18-0032PT-18-0032: day 0PT-18-0032: day 29PT-18-0032: day 36PT-18-0032: day 44PT-18-0033PT-18-0033: day 0PT-18-0033: day 37PT-18-0033: day 48PT-18-0033: day 91PT-18-0033: day 100PT-18-0034PT-18-0034: day 0PT-18-0034: day 42PT-18-0034: day 49PT-18-0034: day 55PT-18-0034: day 62PT-18-0034: day 70PT-18-0034: day 147PT-18-0034: day 168PT-19-0001PT-19-0001: day 0PT-19-0001: day 42PT-19-0001: day 50PT-19-0001: day 59PT-19-0001: day 85PT-19-0001: day 94PT-19-0002PT-19-0002: day 0PT-19-0002: day 27PT-19-0002: day 35PT-19-0002: day 40PT-19-0002: day 48PT-19-0002: day 61PT-19-0002: day 69PT-19-0002: day 76PT-19-0002: day 83PT-19-0002: day 90PT-19-0002: day 97PT-19-0002: day 104PT-19-0002: day 111PT-19-0002: day 118PT-19-0002: day 125PT-19-0002: day 133PT-19-0002: day 139PT-19-0002: day 146PT-19-0002: day 153PT-19-0002: day 160PT-19-0002: day 167PT-19-0002: day 175PT-19-0002: day 181PT-19-0002: day 188PT-19-0002: day 195PT-19-0002: day 202PT-19-0002: day 209PT-19-0002: day 230PT-19-0006PT-19-0006: day 0PT-19-0006: day 0PT-19-0006: day 365PT-19-0006: day 365PT-19-0006: day 365PT-19-0006: day 365PT-19-0006: day 365PT-19-0006: day 365PT-19-0007PT-19-0007: day 0PT-19-0007: day 42PT-19-0007: day 49PT-19-0007: day 57PT-19-0007: day 63PT-19-0007: day 73PT-19-0007: day 85PT-19-0007: day 95PT-19-0009PT-19-0009: day 0PT-19-0009: day 35PT-19-0009: day 42PT-19-0009: day 49PT-19-0009: day 56PT-19-0009: day 63PT-19-0010PT-19-0010: day 0PT-19-0010: day 31PT-19-0010: day 36PT-19-0010: day 38PT-19-0010: day 43PT-19-0010: day 50PT-19-0010: day 65PT-19-0010: day 71PT-19-0010: day 79PT-19-0010: day 86PT-19-0010: day 92PT-19-0010: day 102PT-19-0010: day 113PT-19-0010: day 121PT-19-0010: day 128PT-19-0010: day 135PT-19-0010: day 147PT-19-0010: day 148PT-19-0010: day 156PT-19-0010: day 163PT-19-0010: day 170PT-19-0010: day 196PT-19-0010: day 211PT-19-0013PT-19-0013: day 0PT-19-0013: day 33PT-19-0013: day 40PT-19-0013: day 48PT-19-0013: day 54PT-19-0013: day 61PT-19-0013: day 68PT-19-0013: day 76PT-19-0013: day 82PT-19-0013: day 89PT-19-0013: day 96PT-19-0013: day 104PT-19-0013: day 111PT-19-0013: day 124PT-19-0023PT-19-0023: day 0PT-19-0023: day 29PT-19-0023: day 35PT-19-0023: day 51PT-19-0023: day 57PT-19-0024PT-19-0024: day 0PT-19-0024: day 16PT-19-0024: day 22PT-19-0024: day 29PT-19-0024: day 37PT-19-0024: day 43PT-19-0024: day 50PT-19-0024: day 57PT-19-0024: day 65PT-19-0024: day 71PT-19-0024: day 78PT-19-0024: day 86PT-19-0024: day 92PT-19-0024: day 101PT-19-0024: day 122PT-19-0024: day 127PT-19-0026PT-19-0026: day 0PT-19-0026: day 290 d6 mo12 mo18 mo2.0 y

Each row is one person (24 shown); dots are samples at days since that person's first sample.

FMT + anti-PD-1: 15 recipients linked to 7 sampled donors via Donor_ID; 18 donor IDs sampled.

donor: PT-18-0008, PT-18-0033, PT-18-0034, PT-19-0009, PT-19-0010PT-18-0008 donor of PT-18-0033PT-18-0008 donor of PT-18-0034PT-18-0008 donor of PT-19-0009PT-18-0008 donor of PT-19-0010PT-18-0008 — donor · 3 samplesD8-0008PT-18-0033 — recipient · 5 samplesR8-0033PT-18-0034 — recipient · 8 samplesR8-0034PT-19-0009 — recipient · 6 samplesR9-0009PT-19-0010 — recipient · 23 samplesR9-0010PT-1…
donor: PT-18-0014, PT-18-0032, PT-19-0007, PT-19-0024, PT-19-0026PT-18-0014 donor of PT-18-0032PT-18-0014 donor of PT-19-0007PT-18-0014 donor of PT-19-0024PT-18-0014 donor of PT-19-0026PT-18-0014 — donor · 2 samplesD8-0014PT-18-0032 — recipient · 4 samplesR8-0032PT-19-0007 — recipient · 8 samplesR9-0007PT-19-0024 — recipient · 16 samplesR9-0024PT-19-0026 — recipient · 2 samplesR9-0026PT-1…
donor: PT-18-0002, PT-18-0018, PT-19-0023PT-18-0002 donor of PT-18-0018PT-18-0002 donor of PT-19-0023PT-18-0002 — donor · 3 samplesD8-0002PT-18-0018 — recipient · 35 samplesR8-0018PT-19-0023 — recipient · 5 samplesR9-0023PT-1…
donor: PT-18-0005, PT-18-0007, PT-19-0001PT-18-0005 donor of PT-18-0007PT-18-0005 donor of PT-19-0001PT-18-0005 — donor · 6 samplesD8-0005PT-18-0007 — recipient · 15 samplesR8-0007PT-19-0001 — recipient · 6 samplesR9-0001PT-1…
donor: PT-18-0006, PT-19-0002PT-18-0006 donor of PT-19-0002PT-18-0006 — donor · 2 samplesD8-0006PT-19-0002 — recipient · 28 samplesR9-0002PT-1…
donor: PT-18-0031, PT-19-0013PT-18-0031 donor of PT-19-0013PT-18-0031 — donor · 2 samplesD8-0031PT-19-0013 — recipient · 14 samplesR9-0013PT-1…
donor: PT-19-0006, PT-19-0011PT-19-0011 donor of PT-19-0006PT-19-0006 — recipient · 8 samplesR06PT-19-0011 — donor · 1 sampleD11PT-19-00…

donorrecipient · circles are people (pale = no sequenced sample), arrows run donor → recipient and parent → child, curved lines join twins, partners and siblings, squares are shared settings or families without recorded roles. Shown: 7 linked groups from explicit relations. 33 people in the project overall.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 21.4%Alistipes 12.6%Phocaeicola 9.3%Prevotella 5.0%Akkermansia 4.0%Parabacteroides 2.9%Roseburia 2.4%Faecalibacterium 2.1%Vescimonas 2.0%Barnesiella 1.6%Porphyromonas 1.6%Escherichia 1.1%not assigned to a genus 8.6%other genera 25.5%

Genera, mean relative abundance over 191 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category216 100%
country216 100%216
health_condition216 100%216
subject_id216 100%33183
age_at_collection_days216 100%216
collection_date216 100%216
detailed_location216 100%
health_condition_detail216 100%216
intervention216 100%216
intervention_detail216 100%216
latitude216 100%216
location_locality216 100%216
location_region216 100%216
longitude216 100%216
sex216 100%216
timepoint_label216 100%216
Papers (13)
  • Fecal microbiota transplant overcomes resistance to anti-PD-1 therapy in melanoma patients. 2021 PMID 33542131 PMC8097968 own_data
  • Time series strain tracking analysis post fecal transplantation identifies individual specific patterns of fecal dominant donor, recipient, and unrelated microbial strains. 2022 PMID 36107983 PMC9477264 own_data
  • Incongruence between dominant commensal donor microbes in recipient feces post fecal transplant and response to anti-PD-1 immunotherapy. 2021 PMID 34544375 PMC8454007 unsure
  • Dietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response. 2021 PMID 34941392 PMC8970537 unsure
  • The microbiome-derived metabolite TMAO drives immune activation and boosts responses to immune checkpoint blockade in pancreatic cancer. 2022 PMID 36083892 PMC9925043 unsure
8 more
  • Consistent Stool Metagenomic Biomarkers Associated with the Response To Melanoma Immunotherapy. 2023 PMID 36809182 PMC10134792
  • Recipient-independent, high-accuracy FMT-response prediction and optimization in mice and humans. 2023 PMID 37580821 PMC10424414
  • Systemic metabolic depletion of gut microbiome undermines responsiveness to melanoma immunotherapy. 2024 PMID 38448159 PMC10917649
  • Longitudinal analysis of the gut microbiota during anti-PD-1 therapy reveals stable microbial features of response in melanoma patients. 2024 PMID 39481388 PMC11629153
  • Engrafting gut bacteriophages have potential to modulate microbial metabolism in fecal microbiota transplantation. 2025 PMID 40542451 PMC12180181
  • Ecological and Functional Stratification of the Stool Microbiome Predicts Response to Immune Checkpoint Inhibitors across Cancer Types. 2026 PMID 42146906 PMC13173278
  • Enterotype-specific microbial biomarkers of immune checkpoint inhibitor response revealed by large-scale integrated metagenomic analysis. 2026 PMID 42189287 PMC13388844
  • Cohesive modules of engraftment in fecal microbiota transplantation. 2026 PMID 42211136 PMC13213781
Details
Archive description

This study set out to evaluate the effectiveness of Fecal Microbiota Transplant together with PD-1 blockade in overcoming resistance to anti-PD-1 therapy in advanced melanoma 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 · “Effectiveness of Fecal Microbiota Transplant together”
  • body site study.description · “the effectiveness of Fecal Microbiota Transplant together”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • life stage sample.attr.age · “62 (n=124/216)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN16673179age_at_collection_days21549.8R10.70sample.attr.age59
SAMN16673179collection_date2019-08-06R10.90biosample.attribute:collection_date2019-08-06
SAMN16673179countryUSR10.90sample.attr.geo_loc_nameUSA: Pittsburgh
SAMN16673179health_conditionother_cancerR10.85biosample.attribute:donor_or_recipientRecipient
SAMN16673179health_condition_detailadvanced melanoma, PD-1-refractory, receiving FMT + anti-PD-1 per title 'Fecal microbiota transplant overcomes resistance to anti-PD-1 therapy in melanoma patients' and abstract 'patients with PD-1-reR10.85biosample.attribute:donor_or_recipientRecipient
SAMN16673179interventionfmtR10.90biosample.attribute:Pre_or_post_FMTPre_or_post_FMT: Post_FMT
SAMN16673179intervention_detailpost-FMT sampleR10.90biosample.attribute:Pre_or_post_FMTPre_or_post_FMT: Post_FMT
SAMN16673179latitude40.4540R10.90biosample.attribute:lat_lon40.454 N 79.933 W
SAMN16673179location_localityPittsburghR10.85biosample.attribute:geo_loc_nameUSA: Pittsburgh
SAMN16673179location_regionPennsylvaniaR10.60biosample.attribute:lat_lon40.454 N 79.933 W
SAMN16673179longitude-79.9330R10.90biosample.attribute:lat_lon40.454 N 79.933 W
SAMN16673179sexmaleR10.90sample.attr.sexmale
SAMN16673189subject_idPT-18-0005R10.85sample.attr.donor_idPT-18-0005
SAMN16673179subject_idPT-19-0002R20.80archive
SAMN16673179timepoint_label85R10.85sample.attr.days_after_fmt85
Sequencing

216 runs over 216 samples · mean 2.32 Gbp per run (median 2.19 Gbp, total 500.34 Gbp; 216 runs with a base count) · layout PAIRED 216 · platform ILLUMINA 216 · models Illumina NovaSeq 6000 (186), NextSeq 500 (30) · 88% of runs with a Sandpiper profile · first public 2020-12-03

Authors (40)

Koo H first · Morrow CD last · Zakharevich NV first · Morozov MD · Kanaeva VA · Filippov MS · Zyubko TI · Ivanov AB · Ulyantsev VI · Klimina KM · Olekhnovich EI last · Tarracchini C first · Lugli GA · Mancabelli L · van Sinderen D · Turroni F · Ventura M · Milani C last · Orletskaia VA first · Candeliere F first · Busi E · Cerri S · Sola L · Lombardi M · Greco S · Pedroni S · Amaretti A · Raimondi S · Chiavelli C · Vitale MG · Bertolini F · Depenni R · Franchini G · Dominici M · Rossi M last · Rashidi A first · Minot SS · Lee SJ · Hill GR · Podlesny D last

Downloads

PRJNA672867.csv.gz (8.7 KB) · parquet (82.7 KB) — all 216 samples, every field with route and confidence · PRJNA672867_determinations.csv.gz (24.5 KB) — 3,024 evidence rows

Samples (216 · every field this project has values for · hover a cell for its source)
Loading the sample table…