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IMAGE: Graph resulting from analysis of the expression of different genes view more 

Credit: Nuno Agostinho, iMM.

A new computational approach that allows the identification of molecular alterations associated with prognosis and resistance to therapy of different types of cancer was developed by the research grould led by Nuno Barbosa Morais, Group Leader at Instituto de Medicina Molecular João Lobo Antunes (iMM; Portugal), and now published open access in Nucleic Acids Research*.

Cancer cells are characterised by perturbations in the regulation of genes and, in particular, by alterations in alternative splicing, a process by which the same gene can originate different proteins. Some of those alterations are associated with different malignant features of cancer and its resistance to treatment but vary from tumour to tumour. “Each patient hosts a different cancer, so that scientists and clinicians need molecular information about many individuals to, supported by data, understand disease mechanisms, assess prognosis and make predictions on the best treatment for each patient based on their tumour’s molecular profile”, explains Nuno Barbosa Morais.

“We have created a software that, by analysing large databases with clinical and splicing information for thousands of tumours, detects patterns of similarities between different cases and allows,

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