engleski

Computational screening for non-small cell lung carcinoma biomarker candidates

Lung cancer is one of the main causes of death among malignant diseases. There are two main histological types: a small cell lung cancer (SCLC) and a non-small cell lung cancer (NSCLC). NSCLC is the most common type of lung cancer. NSCLC is comprised of three major histological subtypes, adenocarcinoma, squamous cell carcinoma and large cell carcinoma. At the time establishment of diagnosis the disease is localized only in 20% of all lung cancer patients, whereas 75% of patients here metastases in regional lymph nodes. Therefore, lung cancer is a significant diagnostic problem with a generally unfavourable prognosis. However, an early and reliable laboratory diagnosis would enable start of treatment on time, and thereby reduce mortality. Unfortunately, the existing lung cancer blood markers do not have sufficient sensitivity and / or specificity that are essential for an early diagnosis of this disease. Microarray technology enables determination of tens of thousands gene expressions in one experiment. Comparison of gene expressions obtained from control and patients population samples based on univariate or multivariate statistical and computational methods allows selection of relevant genes and their protein products and enables microarray based screening for new diagnostic markers.

Non small cell lung cancer; computational screening

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