School of Medicine Publications and Presentations
Document Type
Article
Publication Date
12-21-2023
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.
Recommended Citation
Khan, S., Banerjee, G., Setua, S., Jones, D. H., Chauhan, B. V., Dhasmana, A., Banerjee, P., Yallapu, M. M., Behrman, S., & Chauhan, S. C. (2023). Metagenomic analysis unveils the microbial landscape of pancreatic tumors. Frontiers in microbiology, 14, 1275374. https://doi.org/10.3389/fmicb.2023.1275374
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Title
Frontiers in Microbiology
DOI
10.3389/fmicb.2023.1275374
Academic Level
faculty
Mentor/PI Department
Immunology and Microbiology
Comments
Copyright © 2023 Khan, Banerjee, Setua, Jones, Chauhan, Dhasmana, Banerjee, Yallapu, Behrman and Chauhan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.