Chronic exposure to sunlight [ultraviolet light B (UVB) irradiation] is the most common cause of non-melanoma skin tumors. In the present study, we investigated the effects of passive cigarette smoke superimposed over UVB irradiation, on tumor development, skin pathology and matrix changes in SKH-1 hairless mice. Groups of mice were exposed to 0.1 J/cm(2) of UVB five times per week for 20 weeks and/or exposure to passive cigarette smoke from 40 cigarettes a day over the same time period. UVB exposure resulted in an average of four large squamous cell carcinomas (SCC) and 15 smaller papillomas per mouse, whereas exposing the mice to both UVB + passive cigarette smoke completely prevented SCC formation and averaged less than one small papilloma per mouse. Oxidative DNA damage was investigated and there were no significant changes in the levels of urinary DNA adducts between control, smoke, UV and UV + smoke groups with the exception of 8-oxo guanine which was significantly reduced in the presence of passive cigarette smoke. Immunohistochemistry results revealed that tumor necrosis factor receptor 2 (TNF-R2), glycogen synthase kinase-3 beta, nuclear factor kappa B (NF-kappaB)/p65, KI-67 and cyclooxygenase 2 (COX-2) were markedly up-regulated in the epithelium by UVB exposure, whereas passive smoke exposure combined with the UVB irradiation completely blocked the expression of these proteins. Our results suggest that passive smoke exposure prevents UVB-induced SCC in mice and dramatically reduces the incidence of non-malignant papillomas by altering the NF-kappaB signalling pathway of tumorigenesis.
Background
Glioblastoma is the most aggressive cancer originating in the brain with an average survival of 15 months. One of the characteristics of glioblastoma is the high level of intra-tumour heterogeneity (ITH), but the composition and complexity at the single-cell level is poorly understood. Here, we aimed to assess the effects and consequences of immune checkpoint inhibitor (ICI) on the cellular and molecular heterogeneity of glioblastoma tumours using at the single cell level.
Material and Methods
In collaboration with the phase I trials unit at Rigshospitalet, we performed paired molecular analysis of glioma cells from primary and relapse surgery after ICI treatment. Samples were analysed using single-cell RNA sequencing (scRNA-seq) as well as bulk RNA sequencing and whole exome DNA sequencing.
Results
In an effort to trace cellular lineages we developed and refined methods to a identify copy number changes using scRNA-seq. To this end, we identified clonal and subclonal tumour cell populations in each sample. We found high levels of ITH prior to treatment, both with respect to the glioblastoma subtype enrichment and the cell type-specific gene expression. Using expression-based cell-type classification, we found defined recurrent cell-type populations present at both surgery time points. The immune checkpoint treatment had consequences on the cellular phenotypes and proportions of tumour cells, suggesting a level of plasticity in the neoplastic cells. Moreover, we identified examples of clonal dynamics and sweeps following ICI treatment, pointing to potential treatment response and resistance in these population.
Conclusion
In summary, we pursued single cell-focused analysis of ICI treated glioblastoma patients to study the cellular and molecular heterogeneity within and between glioblastoma patients, which pointed to recurrent patterns of cellular responses following ICI treatment.
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