Optimised Tumour Sampling and Processing by a Multidisciplinary Approach for an Accurate Diagnosis in Non-Small Cell Lung Cancer

The classification of lung cancer has evolved parallel to the knowledge of its biomolecular features \r\nand is implemented by the analysis of specific gene alterations, which have shown prognostic and \r\npredictive values. Consequently, the diagnosis of a specific ‘biomolecular subtype’ of lung cancer is \r\naccompanied by different therapeutic strategies.\r\nOptimal target tissue sampling plays a key role in the diagnosis and treatment of lung cancer. Tissue \r\nsamples can be obtained through various techniques involving different healthcare professionals. \r\nTherefore, a multidisciplinary approach is crucial to obtain a suitable diagnostic sample encompassing \r\nas much of the information as possible for optimal therapeutic management. In this paper, the \r\nauthors share the expertise of all professionals involved in the diagnostic and therapeutic approaches \r\nof patients with lung cancer: pulmonologists, pathologists, oncologists, radiologists, surgeons, and \r\nmolecular biologists. The different know-how contributions have been gathered in a single text to \r\noffer a comprehensive view on the management of the lung cancer tissue journey.