The transcriptome of lung tumor-infiltrating dendritic cells reveals a tumor-supporting phenotype and a microRNA signature with negative impact on clinical outcome.

Targeting immunomodulatory pathways has ushered a new era in lung cancer therapy. Further progress requires deeper insights into the biology of immune cells in the lung cancer micro-environment. Dendritic cells (DCs) represent a heterogeneous and highly plastic immune cell system with a central role in controlling immune responses. The intratumoral infiltration and activation status of DCs are emerging as clinically relevant parameters in lung cancer. In this study, we used an orthotopic preclinical model of lung cancer to dissect how the lung tumor micro-environment affects tissue-resident DCs and extract novel biologically and clinically relevant information. Lung tumor-infiltrating leukocytes expressing generic DC markers were found to predominantly consist of CD11b+ cells that, compare with peritumoral lung DC counterparts, strongly overexpress the T-cell inhibitory molecule PD-L1 and acquire classical surface markers of tumor-associated macrophages (TAMs). Transcriptome analysis of these CD11b+ tumor-infiltrating DCs (TIDCs) indicates impaired antitumoral immunogenicity, confirms the skewing toward TAM-related features, and indicates exposure to a hypoxic environment. In parallel, TIDCs display a specific microRNA (miRNA) signature dominated by the prototypical lung cancer oncomir miR-31. In vitro, hypoxia drives intrinsic miR-31 expression in CD11b+ DCs. Conditioned medium of miR-31 overexpressing CD11b+ DCs induces pro-invasive lung cancer cell shape changes and is enriched with pro-metastatic soluble factors. Finally, analysis of TCGA datasets reveals that the TIDC-associated miRNA signature has a negative prognostic impact in non-small cell lung cancer. Together, these data suggest a novel mechanism through which the lung cancer micro-environment exploits the plasticity of the DC system to support tumoral progression.

Benchmarking pediatric cranial CT protocols using a dose tracking software system: a multicenter study.

OBJECTIVES: To benchmark regional standard practice for paediatric cranial CT-procedures in terms of radiation dose and acquisition parameters. METHODS: Paediatric cranial CT-data were retrospectively collected during a 1-year period, in 3 different hospitals of the same country. A dose tracking system was used to automatically gather information. Dose (CTDI and DLP), scan length, amount of retakes and demographic data were stratified by age and clinical indication; appropriate use of child-specific protocols was assessed. RESULTS: In total, 296 paediatric cranial CT-procedures were collected. Although the median dose of each hospital was below national and international diagnostic reference level (DRL) for all age categories, statistically significant (p-value < 0.001) dose differences among hospitals were observed. The hospital with lowest dose levels showed smallest dose variability and used age-stratified protocols for standardizing paediatric head exams. Erroneous selection of adult protocols for children still occurred, mostly in the oldest age-group. CONCLUSION: Even though all hospitals complied with national and international DRLs, dose tracking and benchmarking showed that further dose optimization and standardization is possible by using age-stratified protocols for paediatric cranial CT. Moreover, having a dose tracking system revealed that adult protocols are still applied for paediatric CT, a practice that must be avoided. KEY POINTS: • Significant differences were observed in the delivered dose between age-groups and hospitals. • Using age-adapted scanning protocols gives a nearly linear dose increase. • Sharing dose-data can be a trigger for hospitals to reduce dose levels.

Lung tumours reprogram pulmonary dendritic cell immunogenicity at the microRNA level.

Lung cancer arises in a context of tumour-induced immune suppression. Dendritic cells (DCs) are central players in the induction of anti-tumoural immunity, providing critical signals that drive the induction of cytotoxic T-cell responses. Meanwhile, microRNAs are associated with tumour development as well as immune regulation. We postulated that lung tumours escape immune control by reprogramming DC immunogenicity at the microRNA level. Using an orthotopic model of lung cancer, we first identified the DC population responsible for transport and cross-presentation of lung tumour-derived antigens to naïve T cells in the draining mediastinal lymph nodes (LNs). Profiling the full microRNA repertoire of these DCs revealed a restricted set of microRNAs that was consistently dysregulated in the presence of lung tumours, with miR-301a as one of the top upregulated transcripts. Overexpression of miR-301a in DCs suppressed IL-12 secretion, decreased IFN-γ release from antigen-specific cytotoxic T cells, and shifted antigen-specific T helper cytokine profile away from IFN-γ towards IL-13 and IL-17A-secreting T cells. Strikingly, DC-selective Dicer1 gene deletion resulted in delayed lung tumour growth and a survival benefit. Taken together, our data reveal that lung tumours induce an immunosuppressive microRNA signature in pulmonary DCs. Interfering with the DC-intrinsic capacity to remodel microRNA repertoires affects lung tumour outcome.