Evidence map›Paper›PMID 35260444›Full record

ArticleGut2022

A faecal microbiota signature with high specificity for pancreatic cancer.

Ece Kartal, Thomas S B Schmidt, Esther Molina-Montes, Sandra Rodríguez-Perales, Jakob Wirbel, Oleksandr M Maistrenko, Wasiu A Akanni, Bilal Alashkar Alhamwe, Renato J Alves, Alfredo Carrato and 26 more

Abstract read
In one paragraph

Article in Gut, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 189 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
189citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

189 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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129 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

36 authors.

Ece Kartal *Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-7720-455X
Thomas S B Schmidt *Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0001-8587-4177
Esther Molina-Montes *Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.ORCID 0000-0002-0428-2426
Sandra Rodríguez-PeralesCentro de Investigación Biomédica en Red de Oncología (CIBERONC), Madrid, Spain.ORCID 0000-0001-7221-3636
Jakob WirbelStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-4073-3562
Oleksandr M MaistrenkoStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0003-1961-7548
Wasiu A AkanniStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-2075-2387
Bilal Alashkar AlhamweMember of the German Center for Lung Research (DZL) and the Universities of Giessen and Marburg Lung School (UGMLC), Philipps University Marburg Faculty of Medicine, Marburg, Germany.ORCID 0000-0002-7120-0013
Renato J AlvesStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-7212-0234
Alfredo CarratoCentro de Investigación Biomédica en Red de Oncología (CIBERONC), Madrid, Spain.ORCID 0000-0001-7749-8140
Hans-Peter ErasmusTranslational Hepatology Department of Internal Medicine I, Goethe-Universitat Frankfurt am Main, Frankfurt am Main, Germany.
Lidia EstudilloGenetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.ORCID 0000-0003-3891-3713
Fabian FinkelmeierTranslational Hepatology Department of Internal Medicine I, Goethe-Universitat Frankfurt am Main, Frankfurt am Main, Germany.
Anthony FullamStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-0884-8124
Anna M GlazekStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Paulina Gómez-RubioGenetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Rajna HercogGenomic Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany.
Ferris JungGenomic Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-5534-7832
Stefanie KandelsStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-4194-4927
Stephan KerstingDepartment of Surgery, Erlangen University Hospital, Erlangen, Germany.ORCID 0000-0002-2124-3103
Melanie LangheinrichDepartment of Surgery, University of Greifswald, Greifswald, Germany.ORCID 0000-0002-0120-9135
Mirari MárquezGenetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Xavier MoleroHospital Universitari Vall d'Hebron, Institut de Recerca (VHIR), Barcelona, Spain.
Askarbek OrakovStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0001-6823-5269
Thea Van RossumStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-3598-5001
Raul Torres-RuizCentro de Investigación Biomédica en Red de Oncología (CIBERONC), Madrid, Spain.ORCID 0000-0001-9606-0398
Anja TelzerowGenomic Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0001-9855-0809
Konrad ZychStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0001-7426-0516
MAGIC Study investigators
PanGenEU Study investigators
Vladimir BenesGenomic Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-0352-2547
Georg ZellerStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0003-1429-7485
Jonel TrebickaTranslational Hepatology Department of Internal Medicine I, Goethe-Universitat Frankfurt am Main, Frankfurt am Main, Germany.ORCID 0000-0002-7028-3881
Francisco X RealCentro de Investigación Biomédica en Red de Oncología (CIBERONC), Madrid, Spain.ORCID 0000-0001-9501-498X
Nuria MalatsGenetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain nmalats@cnio.es peer.bork@embl.org.ORCID 0000-0003-2538-3784
Peer BorkStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany nmalats@cnio.es peer.bork@embl.org.ORCID 0000-0002-2627-833X

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Christopher K Laubenthal · 2000 to 2026
$70.0M
6 · The paper itself

Abstract

backgroundRecent evidence suggests a role for the microbiome in pancreatic ductal adenocarcinoma (PDAC) aetiology and progression.

objectiveTo explore the faecal and salivary microbiota as potential diagnostic biomarkers.

methodsWe applied shotgun metagenomic and 16S rRNA amplicon sequencing to samples from a Spanish case-control study (n=136), including 57 cases, 50 controls, and 29 patients with chronic pancreatitis in the discovery phase, and from a German case-control study (n=76), in the validation phase.

resultsFaecal metagenomic classifiers performed much better than saliva-based classifiers and identified patients with PDAC with an accuracy of up to 0.84 area under the receiver operating characteristic curve (AUROC) based on a set of 27 microbial species, with consistent accuracy across early and late disease stages. Performance further improved to up to 0.94 AUROC when we combined our microbiome-based predictions with serum levels of carbohydrate antigen (CA) 19-9, the only current non-invasive, Food and Drug Administration approved, low specificity PDAC diagnostic biomarker. Furthermore, a microbiota-based classification model confined to PDAC-enriched species was highly disease-specific when validated against 25 publicly available metagenomic study populations for various health conditions (n=5792). Both microbiome-based models had a high prediction accuracy on a German validation population (n=76). Several faecal PDAC marker species were detectable in pancreatic tumour and non-tumour tissue using 16S rRNA sequencing and fluorescence in situ hybridisation.

conclusionTaken together, our results indicate that non-invasive, robust and specific faecal microbiota-based screening for the early detection of PDAC is feasible.

Indexed as

Carcinoma, Pancreatic DuctalMicrobiotaPancreatic NeoplasmsBiomarkers, TumorCA-19-9 AntigenCase-Control StudiesHumansRNA, Ribosomal, 16SBiomarkers, TumorCA-19-9 AntigenRNA, Ribosomal, 16Scancer preventionintestinal microbiologypancreatic cancerpancreatic tumoursscreening

Identifiers

PMID35260444
PMCPMC9185815

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.