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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
Food Science and Human Nutrition
Carl R. Woese Institute for Genomic Biology
Center for South Asian and Middle Eastern Studies
Research output
:
Contribution to journal
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Article
›
peer-review
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Keyphrases
Genome Analysis
100%
Tumor Tissue
100%
Pancreatic Tumor
100%
Microbial Landscape
100%
Non-tumor Tissue
75%
Pancreatic Ductal Adenocarcinoma
75%
Delftia
75%
Microbiota
50%
Bacterial Genera
50%
PD-L1 Expression
50%
Treatment Outcome
25%
Human Body
25%
Proteobacteria
25%
Bacterial Population
25%
Streptomyces
25%
Differentiation Stage
25%
High Abundance
25%
Tumor Differentiation
25%
Linear Discriminant Analysis
25%
Microbial Composition
25%
Molecular Signature
25%
Tumor-like Lesions
25%
Clinical Prognosis
25%
Resident Microbes
25%
Well-differentiated
25%
Sphingomonas
25%
Citrobacter
25%
Poor Differentiation
25%
Cloacibacterium
25%
Actinomycetota
25%
Cutibacterium
25%
16S rRNA-based Metagenomic Analysis
25%
Programmed Death Ligand
25%
Comparative Profiling
25%
Staphylococcus
25%
Moderately Differentiated
25%
Associated Bacterial Community
25%
Immunology and Microbiology
Metagenomics
100%
Delftia
100%
Microflora
66%
Proteobacteria
33%
Bacterial Population
33%
Streptomyces
33%
Prevalence
33%
Streptococcus
33%
Sphingomonas
33%
Programmed Death-Ligand 1
33%
Citrobacter
33%
Staphylococcus
33%
Ribosomal RNA
33%
Ribosome RNA
33%
Biochemistry, Genetics and Molecular Biology
Metagenomics
100%
Delftia
100%
Microflora
66%
Purple Bacteria
33%
Streptomyces
33%
16S Ribosomal RNA
33%
Prevalence
33%
Streptococcus
33%
Staphylococcus
33%
Citrobacter
33%
Sphingomonas
33%
PD-L1
33%
Grand Unified Theory
33%