The classification of lung cancer (LC) according to the degree of anatomical extension (TNM) allows the estimation of the prognosis of the patient, although its accuracy is limited. In fact, one third of surgically-treated patients with initial disease have recurrences during follow-up, despite the negativity of node dissection at surgery. The incorporation of genetic, epigenetic and proteomic information to TNM staging will characterize more accurately the lung cancer, and thereby improve the prognostic and the prediction of the therapeutic response in these patients.In this project a prospective cohort of 320 patients with lung cancer staged I-IIp will be studied, combining the clinical and pathologic information available with genetic, epigenetic and proteomic markers in tumour samples, pulmonary tissue, regional nodes and peripheral blood, preserved in suitable systems for the application of complex analytical methodologies. Thus, a knowledge database will be created with the aim of improving the prognostic and prediction capabilities of TNM staging.This project is coordinated with related sub-projects that cover the required laboratory tests on biological samples and with Spanish collaborative group in lung cancer.
Study Type
OBSERVATIONAL
Enrollment
200
This is an observational study, there is no intervention
Hospital Son Espases
Palma de Mallorca, Balearic Islands, Spain
Hospital Germans Trias i Pujol
Badalona, Barcelona, Spain
Hospital del Mar
Barcelona, Spain
Hospital Virgen del Rocio
Seville, Spain
Cohort creation
Prospective cohort with detailed information of the clinical characteristics at the time of surgery and with biological samples
Time frame: 6 years
Biological markers
To identify biological variables with potential prognostic and / or predictive capacity of the therapeutic response, independent of the pathological TNM, in biological samples
Time frame: 3 years
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