Transcriptome of papillary thyroid cancer (PTC) is well characterized and correlates with some prognostic and genotypic factors, but data addressing the interaction between PTC and tumor microenvironm Show more
Transcriptome of papillary thyroid cancer (PTC) is well characterized and correlates with some prognostic and genotypic factors, but data addressing the interaction between PTC and tumor microenvironment (TME) are scarce. Therefore, in the present study, we aimed to assess the impact of TME on gene expression profile in PTC. We evaluated the gene expression profile in PTC and normal thyroid cells isolated by laser capture microdissection and in whole tissue slides corresponding to the entire tumor. We included 26 microdissected samples for gene expression analysis (HG-U133 PLUS 2.0, Affymetrix, currently Thermo Fisher Scientific USA): 15 PTC samples, 11 samples of normal thyrocytes, and 30 whole slides (15 PTC and 15 normal thyroid). Transcripts were divided into three groups: differentially expressed both in microdissected and whole slides, transcripts differently expressed in microdissected samples and not changed in whole slides, and transcripts differentially expressed in whole slides and not changed in microdissected samples. Eleven genes were selected for validation in an independent set of samples; among them, four genes differentiated only microdissected PTC and normal cells. Two genes (PTCSC and CTGF) were confirmed. One gene (FOS) was not confirmed by the validation, whereas EGR1 was also significant in whole slide analysis. The other seven genes (TFF3, FN1, MPPED2, MET, KCNJ2, TACSTD2, and GALE) showed differentiated expression in microdissected thyrocytes and in whole tumor slides. Most of identified genes were related to the tumor-microenvironment interaction and confirmed the crosstalk between TME and cancer cells. Show less
Several markers are used to monitor active or passive exposure to tobacco smoke. They include measurements of carboxyhaemoglobin in the blood, carbon dioxide in the expired air, thiocyanates and nicot Show more
Several markers are used to monitor active or passive exposure to tobacco smoke. They include measurements of carboxyhaemoglobin in the blood, carbon dioxide in the expired air, thiocyanates and nicotine in the saliva, plasma (serum) or urine. The determination of cotinine, the main nicotine metabolite, in biological fluids is a biomarker which finds still wider application. This metabolite can be determined in the urine and saliva and plasma. Cotinine, as a biomarker of exposure to tobacco smoke, is used in epidemiological studies aimed to find out to what extent the exposure to occupational harmful factors affects the workers' health. The application of this biomarker helped to classify workers more effectively into smokers and non-smokers, and to provide better conditions for finding out whether other non-occupational factors such as smoking do not confound the evaluation of health threats induced by work-related hazards. Show less