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Spatial meta-transcriptomics reveal associations of intratumor bacteria burden with lung cancer cells showing a distinct oncogenic signature

Authors :
Abigail Wong-Rolle
Qiang Dong
Yunhua Zhu
Prajan Divakar
Jyh Liang Hor
Noemi Kedei
Madeline Wong
Desiree Tillo
Elizabeth A Conner
Arun Rajan
David S Schrump
Chengcheng Jin
Ronald N Germain
Chen Zhao
Source :
Journal for ImmunoTherapy of Cancer. 10:e004698
Publication Year :
2022
Publisher :
BMJ, 2022.

Abstract

BackgroundThe lung intratumor microbiome influences lung cancer tumorigenesis and treatment responses, but detailed data on the extent, location, and effects of microbes within lung tumors are missing, information needed for improved prognosis and treatment.MethodsTo address this gap, we developed a novel spatial meta-transcriptomic method simultaneously detecting the expression level of 1,811 host genes and 3 microbe targets (bacteria, fungi, and cytomegalovirus). After rigorous validation, we analyzed the spatial meta-transcriptomic profiles of tumor cells, T cells, macrophages, other immune cells, and stroma in surgically resected tumor samples from 12 patients with early-stage lung cancer.ResultsBacterial burden was significantly higher in tumor cells compared with T cells, macrophages, other immune cells, and stroma. This burden increased from tumor-adjacent normal lung and tertiary lymphoid structures to tumor cells to the airways, suggesting that lung intratumor bacteria derive from the latter route of entry. Expression of oncogenic β-catenin was strongly correlated with bacterial burden, as were tumor histological subtypes and environmental factors.ConclusionsIntratumor bacteria were enriched with tumor cells and associated with multiple oncogenic pathways, supporting a rationale for reducing the local intratumor microbiome in lung cancer for patient benefit.Trial registration numberNCT00242723, NCT02146170.

Details

ISSN :
20511426
Volume :
10
Database :
OpenAIRE
Journal :
Journal for ImmunoTherapy of Cancer
Accession number :
edsair.doi.dedup.....11aca7ad57160ec51fbe3691ae67debe
Full Text :
https://doi.org/10.1136/jitc-2022-004698