Spatially-resolved metabolomic identifies colibactin-specific principles of reprogrammed lipid metabolism to promote cancer progression.
de Oliveira Alves, N.; Boulard, O.; Vaysse, A.; Dalmasso, G.; Nikitina, D.; Ruez, R.; Pedron, T.; Bergstein, E.; Sauvanet, P.; Letourneur, D.; Godfraind, C.; Najjar, I.; Lemichez, E.; Iovanna, J. L.; Mestivier, D.; Barnich, N.; Sansonetti, P.; Malabat, C.; Monot, M.; Kennedy, S.; Mettouchi, A.; Bonnet, R.; Sobhani, I.; Chamaillard, M.
Show abstract
Intratumoral bacteria locally contribute to cellular and molecular tumor heterogeneity that support cancer stemness through poorly understood mechanisms. This study aims to explore how Colibactin-producing Escherichia coli (CoPEC) flexibly alters the tumor microenvironment in right-sided colorectal cancer (CRC). Metabolomic and transcriptomic spatial profiling uncovered that CoPEC colonization establishes a high-glycerophospholipid microenvironment within the tumor that is conducive to exhaustion of infiltrated CD8+ T cell and has a lowered prognostic value in right-sided CRC. Mechanistically, the accumulation of lipid droplets in infected cancer cells relied on the production of colibactin as a measure to limit genotoxic stress and supply with sufficient energy for sustaining cell survival and lowering tumor immunogenicity. Specifically, a heightened phosphatidylcholine remodeling of CoPEC-infected cancer cells by the enzyme of the Lands cycle coincided with a lowered accumulation of proapoptotic ceramide and lysophosphatidylcholine. Consequently, a reduced infiltration of CD8+ T lymphocytes that produce the cytotoxic cytokines IFN-{gamma} was found where invading bacteria have been geolocated. By contrast, such an immunosuppressive dysmetabolic process was not observed when human colon cancer cells were infected with the mutant strain that did not produce colibactin (11G5{delta}ClbQ). This work revealed an unexpected property of CoPEC on lipid overload within tumors that could locally provide an inflammatory environment leading to immunosuppressive mechanisms and tumor expansion. This may pave the way for improving chemoresistance and subsequently outcome of CRC patients who are colonized by CoPEC.
Matching journals
The top 12 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Early neutrophilia marked by aerobic glycolysis sustains host metabolism and delays cancer cachexia 94%
- Colorectal cancer progression is potently reduced by a glucose-free, high-protein diet: comparison to anti-EGFR therapy 94%
- TROP2 represents a negative prognostic factor in colorectal adenocarcinoma and its expression is associated with features of epithelial-mesenchymal transition and invasiveness 94%
Similar papers in this journal
- Blood-borne immune cells carry low biomass DNA remnants of microbes in patients with colorectal cancer or inflammatory bowel disease 95%
- A defined bacterial consortium and spatial transcriptomics highlight the complex interaction between Campylobacter jejuni and the murine intestine 95%
- Altered Crosstalk of Bacterial Lipopolysaccharide with Immune Cells in Colorectal Cancer Compared to Paired Adjacent Intestinal Tissue 94%
Similar papers in this journal
Similar papers in this journal
- GPR15 in colon cancer development and anti-tumor immune responses. 94%
- Integrated molecular and pharmacological characterization of patient-derived xenografts from bladder and ureteral cancers identifies new potential therapies. 93%
- Platinum chemotherapy induces lymphangiogenesis in cancerous and healthy tissues that can be prevented with adjuvant anti-VEGFR3 therapy 92%
Similar papers in this journal
- Estrogen-related differences in antitumor immunity and the gut microbiome contribute to sexual dimorphism of colorectal cancer 97%
- Antibody Targeting of B7-H4 Enhances the Immune Response in Urothelial Carcinoma 95%
- Colon-specific immune microenvironment regulates cancer progression versus rejection 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.