Evaluation of Storage Tubes for Combined Analysis of Circulating Nucleic Acids in Liquid Biopsies.

In the last decade, circulating nucleic acids such as microRNAs (miRNAs) and cell-free DNA (cfDNA) have become increasingly important in serving as potential novel biomarkers for a variety of human diseases. If cell-free nucleic acids are to become routinely used in diagnostics, the difference in plasma miRNA and cfDNA levels between healthy and diseased subjects must exceed pre-analytical and analytical variability. Until now, few studies have addressed the time limitations of pre-processing or explored the potential use of long-term blood storage tubes, which might need to be implemented in real-life diagnostics. In this study, we analyzed the stability of four breast cancer-associated miRNAs and two cancer-associated genes under various storage conditions, to test their limitations for potential application in clinical diagnostics. In two consecutive experiments, we tested the limits of conventional EDTA tubes, as well as long-term storage blood collection tubes (BCTs) from four different manufacturers. We found that circulating miRNAs are relatively stable when stored in EDTA monovettes for up to 12 h before processing. When stored in BCTs, circulating miRNAs and cfDNA are stable for up to 7 days, depending on the manufacturer. Norgen tubes were superior for cfDNA yield, while Streck tubes performed the worst in our study with hemolysis induction. In conclusion, plasma prepared from whole blood is suitable for the quantification of both cf-miRNAs and cfDNA simultaneously.

Sphingolipid rheostat alterations related to transformation can be exploited for specific induction of lysosomal cell death in murine and human glioma.

The search for cancer cell-specific targets suffers from a lack of integrative approaches that take into account the relative contributions of several mechanisms or pathways involved in cell death. A systematic experimental and computational comparison of murine glioma cells with astrocytes, their nontransformed counterparts, identified differences in the sphingolipid (SL) rheostat linked to an increased lysosomal instability in glioma cells. In vitro and in silico analyses indicate that sphingosine metabolized in lysosomes was preferentially recycled into ceramide, the prodeath member of the rheostat, in astrocytes. In glioma cells, it preferentially was used for production of the prosurvival sphingosine-1-phosphate (S1P). A combination of tumor necrosis factor alpha (TNF-alpha), lipopolysaccharide (LPS), and interferon gamma (IFN-gamma) strongly decreased S1P production that resulted in abnormal lysosome enlargement and cell death associated with mitochondrial dysfunction of glioma cells only. Lack of intracellular S1P in glioma cells was concomitant with protein and lipid accumulation in enlarged lysosomes, indicating a blockade in lysosome recycling, and hence a role for S1P in membrane trafficking. A pharmacological sphingosine kinase inhibitor efficiently replaced the TNF-alpha, LPS, and IFN-gamma combination and killed murine and human glioma cells without affecting astrocytes. Our study provides evidence for a novel mechanism of lysosomal death dependent upon the SL rheostat that can be specifically triggered in glioma cells. It further strengthens the potential of cancer therapies based on specific ceramide pathway alterations.

Early detection of lung cancer by molecular markers in endobronchial epithelial-lining fluid.

INTRODUCTION: Early detection of malignancies in the lung by less-invasive methods aims at achieving efficient intervention and subsequently a reduction of the high mortality rate. We investigated whether biomarker analysis in endobronchial epithelial-lining fluid (ELF) collected by bronchoscopic microsampling (BMS) may be useful for a definitive preoperative diagnosis. METHODS: ELF was collected from subsegmental bronchi close to the indeterminate pulmonary nodule, which was detected by computed tomography, and from the contralateral lung. Diagnosis was confirmed by transbronchial biopsy or surgery. The study includes 142 ELF samples from 51 non-small-cell lung cancer patients and 20 benign cases. Microarray analysis was done with a patient subset (n = 15) to narrow down genes associated with a malignant phenotype. Thirteen potential biomarkers have been further analyzed by quantitative real-time polymerases chain reaction in an independent patient cohort (n = 56). RESULTS: All patients underwent BMS without complications. Gene-expression analyses by microarrays and quantitative real-time polymerases chain reaction could be reliably applied to ELF samples, and resulted in potential biomarkers for malignant pulmonary nodules. Four genes (tenascin-C, [C-X-C motif] ligand 14, S100 calcium binding protein A9, and keratin 17) were found to be upregulated in ELF of non-small-cell lung cancer patients with adenocarcinoma or squamous cell carcinoma. Combined analysis of tenascin-C expression and the nodule size improved the prediction of malignancy in this patient cohort. CONCLUSIONS: Our study suggests that the analysis of specific biomarkers in ELF collected by BMS could be a potentially useful adjunct to other diagnostic techniques aiming at the preoperative diagnosis of malignant pulmonary nodules.