Highly Sensitive Marker Panel for Guidance in Lung Cancer Rapid Diagnostic Units.

ABSTRACT: While evidence for lung cancer screening implementation in Europe is awaited, Rapid Diagnostic Units have been established in many hospitals to accelerate the early diagnosis of lung cancer. We seek to develop an algorithm to detect lung cancer in a symptomatic population attending such unit, based on a sensitive serum marker panel. Serum concentrations of Epidermal Growth Factor, sCD26, Calprotectin, Matrix Metalloproteinases -1, -7, -9, CEA and CYFRA 21.1 were determined in 140 patients with respiratory symptoms (lung cancer and controls with/without benign pathology). Logistic Lasso regression was performed to derive a lung cancer prediction model, and the resulting algorithm was tested in a validation set. A classification rule based on EGF, sCD26, Calprotectin and CEA was established,

SUBMITTER: Blanco-Prieto S 

PROVIDER: S-EPMC5259733 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature