Introduction Lung cancer is formerly the highest cause of mortality among tumor pathologies worldwide. There are no validated techniques for an early detection of pulmonary cancer lesions other than low-dose helical CT-scan. Unfortunately, this method have some downside effects. Recent studies have laid the basis for development of exosomes-based techniques to screen/diagnose lung cancers. As the isolation of circulating exosomes is a minimally invasive procedure, this technique opens new possibilities for diagnostic applications. Methods We used a first set of 30 plasma samples from as many patients, including 10 patients affected by Lung Adenocarcinomas, 10 with Lung Granulomas and 10 healthy smokers matched for age and sex as negative controls. Wide range microRNAs analysis (742 microRNAs) was performed by quantitative RT-PCR. Data were compared by lesion characteristics using WEKA software for statistics and modeling. Subsequently, selected microRNAs were evaluated on an independent larger group of samples (105 specimens: 50 Lung Adenocarcinomas, 30 Lung Granulomas and 25 healthy smokers). Results This analysis led to the selection of 4 microRNAs to perform a screening test (miR-378a, miR-379, miR-139-5p and miR-200b-5p), useful to divide population into 2 groups: nodule (lung adenocarcinomas+carcinomas) and non-nodule (healthy former smokers). Six microRNAs (miR-151a-5p, miR-30a-3p, miR-200b-5p, miR-629, miR-100 and miR-154-3p) were selected for a second test on the “nodule” population to discriminate between lung adenocarcinoma and granuloma. Conclusions “Screening test” has shown 97.5% sensitivity, 72.0% specificity, AUC ROC of 90.8%. “Diagnostic test” had 96.0% sensitivity, 60.0% specificity, AUC ROC of 76.0%. Further evaluation is needed to confirm the predictive power of those models on higher cohorts of samples.

Highlights d Metformin plus fasting-induced hypoglycemia synergistically reduces tumor growth d PP2A-GSK3b-MCL-1 axis mediates the synergistic cytotoxicity of the combination d Simultaneous CIP2A inhibition and B56d upregulation dictate combination specificity

Mammalian genomes encode tens of thousands of noncoding RNAs. Most noncoding transcripts exhibit nuclear localization and several have been shown to play a role in the regulation of gene expression and chromatin remodeling. To investigate the function of such RNAs, methods to massively map the genomic interacting sites of multiple transcripts have been developed; however, these methods have some limitations. Here, we introduce RNA And DNA Interacting Complexes Ligated and sequenced (RADICL-seq), a technology that maps genome-wide RNA-chromatin interactions in intact nuclei. RADICL-seq is a proximity ligation-based methodology that reduces the bias for nascent transcription, while increasing genomic coverage and unique mapping rate efficiency compared with existing methods. RADICL-seq identifies distinct patterns of genome occupancy for different classes of transcripts as well as cell type-specific RNA-chromatin interactions, and highlights the role of transcription in the establishment of chromatin structure.