Evidence map›Paper›PMID 38179448›Full record

ArticleFrontiers in microbiology2023

Metagenomic analysis unveils the microbial landscape of pancreatic tumors.

Sheema Khan, Goutam Banerjee, Saini Setua, Daleniece Higgins Jones, Bhavin V Chauhan, Anupam Dhasmana, Pratik Banerjee, Murali Mohan Yallapu, Stephen Behrman, Subhash C Chauhan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

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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 5 institutions in 1 country.

Sheema KhanDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, Edinburg, TX, United States.
Goutam BanerjeeDepartment of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 105 Agricultural Bioprocess Laboratory, Urbana, IL, United States.
Saini SetuaDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN, United States.
Daleniece Higgins JonesDivision of Epidemiology, Biostatistics, and Environmental Health, University of Memphis, Memphis, TN, United States.
Bhavin V ChauhanDepartment of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 105 Agricultural Bioprocess Laboratory, Urbana, IL, United States.
Anupam DhasmanaDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, Edinburg, TX, United States.
Pratik BanerjeeDepartment of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 105 Agricultural Bioprocess Laboratory, Urbana, IL, United States.
Murali Mohan YallapuDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, Edinburg, TX, United States.
Stephen BehrmanDepartment of Surgery, Baptist Memorial Hospital and Medical Education, Memphis, TN, United States.
Subhash C ChauhanDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, Edinburg, TX, United States.
The University of Texas Rio Grande Valley · USUniversity of Illinois Urbana-Champaign · USBaptist Memorial Hospital · USUniversity of Maryland, Baltimore · USUniversity of Tennessee at Knoxville · US

Funding

MUC13 Mucin in Colorectal Cancer Health DisparityR01CA204552 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2020
$1.7M
Development of Targeted Nanotechnology Platform for Pancreatic CancerR01CA206069 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2021
$1.7M
Targeted Nanotherapy for Pancreatic CancerR01CA210192 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2021
$1.7M
NCI NIH HHS R01 CA204552NCI NIH HHS R01 CA206069NCI NIH HHS R01 CA210192
6 · The paper itself

Abstract

The composition of resident microbes in the human body is linked to various diseases and their treatment outcomes. Although studies have identified pancreatic ductal adenocarcinoma (PDAC)-associated bacterial communities in the oral and gut samples, herein, we hypothesize that the prevalence of microbiota in pancreatic tumor tissues is different as compared with their matched adjacent, histologically normal appearing tissues, and these microbial molecular signatures can be highly useful for PDAC diagnosis/prognosis. In this study, we performed comparative profiling of bacterial populations in pancreatic tumors and their respective adjacent normal tissues using 16S rRNA-based metagenomics analysis. This study revealed a higher abundance of Proteobacteria and Actinomycetota in tumor tissues compared with adjacent normal tissues. Interestingly, the linear discriminant analysis (LDA) scores unambiguously revealed an enrichment of Delftia in tumor tissues, whereas Sphingomonas, Streptococcus, and Citrobacter exhibited a depletion in tumor tissues. Furthermore, we analyzed the microbial composition between different groups of patients with different tumor differentiation stages. The bacterial genera, Delftia and Staphylococcus, were very high at the G1 stages (well differentiated) compared with G2 (well to moderate/moderately differentiated) and G3/G4 (poorly differentiated) stages. However, the abundance of Actinobacter and Cloacibacterium was found to be very high in G2 and G3, respectively. Additionally, we evaluated the correlation of programmed death-ligand (PDL1) expression with the abundance of bacterial genera in tumor lesions. Our results indicated that three genera such as Streptomyces, Cutibacterium, and Delftia have a positive correlation with PD-L1 expression. Collectively, these findings demonstrate that PDAC lesions harbor relatively different microbiota compared with their normal tumor adjacent tissues, and this information may be helpful for the diagnosis and prognosis of PADC patients.

Indexed as

metagenomicsmicrobiotapancreatic ductal adenocarcinomaPD-L1Tissues

Identifiers

PMID38179448
PMCPMC10764597
OpenAlexW4390056648

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.