Modified Nucleosides - Molecular Markers Suitable for Small-volume Cancer?

BACKGROUND: Modified nucleosides (mNS) in urine are shown to be encouraging markers in cancer, mostly in patients presenting with high tumor mass such is breast and lung cancer. To our knowledge, mNS have not been investigated in head and neck squamous cell carcinoma (HNSCC). HNSCC is characterized by early metastasis into locoregional lymph nodes and slow infiltrating growth, but even in the advanced stage exhibits only a relatively low cancer volume. Therefore, reliable distinction between HNSCC and healthy controls by urinary mNS might pose substantial analytical problems and even more as patients with HNSCC mostly have an increased exposure to tobacco smoke and excessive alcohol consumption which affect the renal mNS pattern. MATERIALS AND METHODS: Urinary mNS in samples of 93 therapy-naive patients with HNSCC and 242 healthy controls were quantified by reversed-phase high-performance liquid chromatography. Considering that the circadian rhythm causes diuresis-induced variations in concentration, the mNS-to-creatinine ratio was chosen to compare patients and controls. For sensitivity and specificity in discriminating between patients and controls, the corresponding curve was plotted. Additionally, logistic regression was carried out and a multilayer perceptron neuronal network (NN) was created. RESULTS: Fifteen mNS were detectable in cases and controls; concentrations of 11 were found to be significantly different. The sensitivity and specificity depend on the total volume of the lesion; HNSCC with volume <20 ml was reliably detected, but those with a volume of 20 ml or greater produced amounts of mNS which led to the most accurate detection of HNSCC based on HNSCC-specific mNS patterns. CONCLUSION: Analysis of urinary mNS allows for detection of small-volume HNSCC, with acceptable specificity and sensitivity if the tumor volume exceeds 20 ml.

Modified nucleosides as biomarkers for early cancer diagnose in exposed populations.

There is increasing worldwide interest in developing of markers for tumor diagnosis and identification of individuals who are at high cancer risk. Cancer, like other diseases accompanied by metabolic disorders, causes characteristic effects on cell turnover rate, activity of modifying enzymes, and RNA/DNA modifications. This results in an increased excretion of modified nucleosides in cancer patients. Therefore, for many years modified nucleosides have been suggested as tumor markers. The aim of the study was to elucidate further the usefulness of urinary nucleosides as possible markers at early detection of cancer in persons which are exposed against tumor promoting influences during their working life. Uranium miners are exposed to many kinds of pollutants that can cause health damage even lead to carcinogenesis. We analyzed modified nucleosides in urine samples from 92 miners who are at high risk for lung cancer to assess the levels of nucleosides by a multilayer perceptron (MLP) classifier - a neural network model. Eighteen nucleosides/metabolites were detected with reversed-phase high-pressure liquid chromatography (RP-HPLC). A valid set of urinary metabolites were selected and multivariate statistical technique of multilayer perceptron neural network were applied. In a previous study, MLP shows a sensitivity and specificity of 97 and 85%, respectively. MLP classification including the most relevant markers/nucleosides clearly demonstrates the elevation of RNA metabolism in miners, which is associated with possible malignant disease. We found that there were 30 subjects with early health disorders among 92 uranium workers based on MLP technique using modified nucleosides. The combination of RP-HPLC analysis of modified nucleosides and subsequent MLP analyses represents a promising tool for the development of a non-invasive prediction system and may assist in developing management and surveillance procedures.