| Literature DB >> 36220074 |
Bassel Ghaddar1, Antara Biswas1, Chris Harris2, M Bishr Omary3, Darren R Carpizo2, Martin J Blaser4, Subhajyoti De5.
Abstract
Microorganisms are detected in multiple cancer types, including in putatively sterile organs, but the contexts in which they influence oncogenesis or anti-tumor responses in humans remain unclear. We recently developed single-cell analysis of host-microbiome interactions (SAHMI), a computational pipeline to recover and denoise microbial signals from single-cell sequencing of host tissues. Here we use SAHMI to interrogate tumor-microbiome interactions in two human pancreatic cancer cohorts. We identify somatic-cell-associated bacteria in a subset of tumors and their near absence in nonmalignant tissues. These bacteria predominantly pair with tumor cells, and their presence is associated with cell-type-specific gene expression and pathway activities, including cell motility and immune signaling. Modeling results indicate that tumor-infiltrating lymphocytes closely resemble T cells from infected tissue. Finally, using multiple independent datasets, a signature of cell-associated bacteria predicts clinical prognosis. Tumor-microbiome crosstalk may modulate tumorigenesis in pancreatic cancer with implications for clinical management.Entities:
Keywords: cancer biology; cancer genomics; gene expression; immunity; microbiome; oncogenesis; single cell sequencing
Mesh:
Year: 2022 PMID: 36220074 PMCID: PMC9556978 DOI: 10.1016/j.ccell.2022.09.009
Source DB: PubMed Journal: Cancer Cell ISSN: 1535-6108 Impact factor: 38.585