Identification, validation and functional analysis of genes and miRNAs involved in recurrent non-small cell lung cancer.

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Recurrence of lung cancer after treatment affects 20-85% of patients. Current prognostication tools are inaccurate and thus patients receive generic treatments. Our intention is to identify genes involved in recurrence of lung cancer. We foresee that this will translate to earlier identification of at-risk patients enabling individualised less toxic and more successful treatments. We also hope to better understand biology of lung cancer recurrence and discover new targets for treatment.