Evidence map›Paper›PMID 36097175›Full record

ArticleBritish journal of cancer2022

A blood-based circulating microbial metagenomic panel for early diagnosis and prognosis of oesophageal adenocarcinoma.

Ali H Zaidi, Muhammad Yogi Pratama, Ashten N Omstead, Anastasia Gorbonova, Rubab Mansoor, Rachael Melton-Kreft, Blair A Jobe, Patrick L Wagner, Ronan J Kelly, Ajay Goel

Open access · greenAbstract read
In one paragraph

Article in British journal of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

14 citing papers in PubMed, 18 citations in OpenAlex.

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  8. Shotgun Metagenomics RevealsGastro hep advances · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Ali H ZaidiAllegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
Muhammad Yogi PratamaDepartment of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Monrovia, CA, USA.
Ashten N OmsteadAllegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
Anastasia GorbonovaAllegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
Rubab MansoorAllegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
Rachael Melton-KreftThe Allegheny Health Network, Center of Excellence in Biofilm Research, Pittsburgh, PA, USA.
Blair A JobeAllegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
Patrick L WagnerAllegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA.
Ronan J KellyThe Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, TX, USA.
Ajay GoelDepartment of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Monrovia, CA, USA. ajgoel@coh.org.ORCID http://orcid.org/0000-0003-1396-6341
Allegheny Health Network · USCity of Hope · USBaylor University Medical Center · US

Funding

The Biology and Diagnosis of HNPCCR01CA072851 · NCI · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI GOEL, AJAY · 1996 to 2019
$6.6M
Exosomal Biomarkers for the Noninvasive Detection of Colorectal CancerR01CA227602 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY · 2019 to 2023
$2.5M
MicroRNA Biomarkers for Determining Treatment Response in Colorectal CancerR01CA202797 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY · 2016 to 2020
$1.9M
Development of microRNA Biomarkers For Noninvasive Detection of Colorectal CancerR01CA184792 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY · 2015 to 2019
$1.8M
METHYLATION BIOMARKER DEVELOPMENT FOR NONINVASIVE DETECTION OF COLORECTAL CANCERR01CA181572 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY · 2014 to 2018
$1.6M
NCI NIH HHS R01 CA072851NCI NIH HHS R01 CA181572NCI NIH HHS R01 CA184792NCI NIH HHS R01 CA202797NCI NIH HHS R01 CA227602
6 · The paper itself

Abstract

backgroundEmerging evidence indicates the potential clinical significance of specific microbial signatures as diagnostic and prognostic biomarkers, in multiple cancers. However, to date, no studies have systematically interrogated circulating metagenome profiling in oesophageal adenocarcinoma (EAC) patients, particularly as novel non-invasive, early detection, surveillance and prognostic classifiers.

methodsMetagenome sequencing was performed on 81 serum specimens collected across EAC spectrum, with sequencing reads classified using Bracken and MetaPhlAn3. Followed by the Linear Discriminant Analysis effect size (LEfSe) method to identify microbial profiles between groups. Logistic regression and Kaplan-Meier analyses were used to build classifiers.

resultsA significant loss of alpha and beta diversity was identified in serum specimens from EAC patients. We observed a shift in microbial taxa between each group-at the phylum, genus, and species level-with Lactobacillus sakei as the most prominent species in gastroesophageal reflux (GERD) vs other patient groups. Interestingly, LEfSe analysis identified a complete loss of Lactobacillus (L. Sakei and L. Curvatus), Collinsella stercoris and Bacteroides stercoris but conversely a significant increase in Escherichia coli in patients with EAC. Finally, we developed a metagenome panel that discriminated EAC from GERD patients with an AUC value of 0.89 (95% CI: 0.78-0.95; P < 0.001) and this panel in conjunction with the TNM stage was a robust predictor of overall survival (≥24 months; AUC = 0.84 (95% CI: 0.66-0.92; P = 0.006)).

conclusionThis study firstly describes unique blood-based microbial profiles in patients across EAC carcinogenesis, that are further utilised to establish a novel circulating diagnostic and prognostic metagenomic signature for EAC. TRANSLATIONAL RELEVANCE: Accumulating data indicates the clinical relevance of specific microbial signatures as diagnostic and prognostic biomarkers, in multiple cancers. However, to date, no studies have systematically interrogated circulating metagenome profiling in patients with oesophageal adenocarcinoma (EAC). Herein, we performed metagenome sequencing in serum specimens from EAC patients 81 collected across EAC spectrum and observed a significant loss of alpha and beta diversity, with a shift in microbial taxa between each group-at the phylum, genus, and species level-with Lactobacillus sakei as the most prominent species in gastroesophageal reflux (GERD) vs other patient groups. Interestingly, LEfSe analysis identified a complete loss of Lactobacillus (L. Sakei and L. Curvatus), Collinsella stercoris and Bacteroides stercoris but conversely a significant increase in Escherichia coli in patients with EAC. Finally, we developed a metagenome panel that discriminated EAC from GERD patients with an AUC value of 0.89 and this panel, in conjunction with the TNM stage, was a robust predictor of overall survival. This study for the first time describes unique blood-based microbial profiles in patients across EAC carcinogenesis, that are further utilised to establish a novel circulating diagnostic and prognostic metagenomic signature for EAC.

Indexed as

AdenocarcinomaEsophageal NeoplasmsGastroesophageal RefluxActinobacteriaBacteroidesBiomarkersCarcinogenesisEarly Detection of CancerEscherichia coliHumansMetagenomePrognosisBiomarkers

Identifiers

PMID36097175
PMCPMC9681745
OpenAlexW4295421047

What OpenQuestion holds

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Registered trials

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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.