In vivo autofluorescence imaging of early cancers in the human tracheobronchial tree with a spectrally optimized system
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Nearly all the cells of an organism share the same DNA sequence or genome, and yet they show different phenotypes and carry out different functions. This diversity is made possible by a verity of molecular modifications acting on the DNA sequence that coll ...
Cancer represents one of the major public health challenges worldwide, representing more than 25% of all deaths in the European Union in 2014. It affects a large and growing part of the general population, with the National Cancer Institute (NCI) estimatin ...
Cancer is one of the biggest medical challenges of our times, with a devastating impact across all social categories. Accordingly, considerable efforts are geared towards improving the standard of care. Among them, immunotherapy, which relies on the immune ...
Platinum drugs are extensively used in the clinic to treat cancer, often leading to a palliative response rather than a cure. While DNA is considered to be the primary target of platinum drugs, there is no clear relationship between cellular platinum accum ...
The aim of bioimaging is to visualize properties and processes of living objects or biological samples and extracts image-related information for revealing important physical structures or map the distribution of specific biomolecules in tissues for clinic ...
The present invention provides methods for detecting cancer as well as agents and compositions for treating cancer by modulating the expression and/or activity of one or more i) KRAB-containing zinc finger protein (KZFP), ii) mRNA encoding a KZFP, and/or i ...
Lung cancer is the leading cause of cancer-associated deaths worldwide. Platinum-based chemotherapy is the most common therapeutic approach in advanced non-small cell lung cancer (NSCLC), particularly for tumors that carry non-druggable activating mutation ...
Aims: Understanding the correlations between underlying medical and personal characteristics of a patient with cancer and the risk of lung metastasis may improve clinical management and outcomes. We used machine learning methodologies to predict the risk o ...
Drug combinations are extensively used to treat cancer and are often selected according to complementary mechanisms. Here, we describe a cell-based high-throughput screening assay for identification of synergistic combinations between broadly applied plati ...
Heritability is often estimated by decomposing the variance of a trait into genetic and other factors. Interpreting such variance decompositions, however, is not straightforward. In particular, there is an ongoing debate on the importance of genetic factor ...