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The mechanisms underlying the multistep process of tumorigenesis can be distilled into a logical framework involving the acquisition of functional capabilities, the so-called hallmarks of cancer, which are collectively envisaged to be necessary for maligna ...
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 ...
The hallmarks of cancer conceptualization is a heuristic tool for distilling the vast complexity of cancer phenotypes and genotypes into a provisional set of underl y-ing principles. As knowledge of cancer mechanisms has progressed, other facets of the dis ...
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 ...
Cancer is a leading cause of death in the world, and the mechanisms that underlie this disease are still not completely understood. As cancer develops and progresses, cells undergo a diversity of mutations that sustain their rapid proliferation and the eva ...
The invention relates to methods for detecting or predicting the likelihood of a cancer in a subject as well as to compositions, pharmaceutical compositions and methods of treatment of cancer. ...
Inhibition of the eIF4A RNA helicase with silvestrol and related compounds is emerging as a powerful anti-cancer strategy. We find that a synthetic silvestrol analogue (CR-1-31 B) has nanomolar activity across many cancer cell lines. It is especially activ ...
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 ...
Tailoring patient‐specific treatments for cancer is necessary in order to achieve optimal results but requires new diagnostic approaches at affordable prices. Microfluidics has immense potential to provide solutions for this, as it enables the processing o ...
