03272nas a2200517   4500008004100000022001400041245013100055210006900186260001600255300001200271490000700283520168900290653001201979653001501991653001002006653000902016653002202025653001402047653002502061653002502086653001102111653003002122653004302152653001102195653000902206653001602215653004402231653001402275653005202289653001802341653002402359653002202383100002102405700002502426700001302451700001502464700002902479700001702508700001602525700002002541700001402561700001602575700001502591700001602606856013202622       2008                        eng d  a1476-559400aMolecular profiling related to poor prognosis in thyroid carcinoma. Combining gene expression data and biological information.0 aMolecular profiling related to poor prognosis in thyroid carcino  c2008 Mar 06  a1554-610 v273 a<p>Undifferentiated and poorly differentiated thyroid tumors are responsible for more than half of thyroid cancer patient deaths in spite of their low incidence. Conventional treatments do not obtain substantial benefits, and the lack of alternative approaches limits patient survival. Additionally, the absence of prognostic markers for well-differentiated tumors complicates patient-specific treatments and favors the progression of recurrent forms. In order to recognize the molecular basis involved in tumor dedifferentiation and identify potential markers for thyroid cancer prognosis prediction, we analysed the expression profile of 44 thyroid primary tumors with different degrees of dedifferentiation and aggressiveness using cDNA microarrays. Transcriptome comparison of dedifferentiated and well-differentiated thyroid tumors identified 1031 genes with >2-fold difference in absolute values and false discovery rate of <0.15. According to known molecular interaction and reaction networks, the products of these genes were mainly clustered in the MAPkinase signaling pathway, the TGF-beta signaling pathway, focal adhesion and cell motility, activation of actin polymerization and cell cycle. An exhaustive search in several databases allowed us to identify various members of the matrix metalloproteinase, melanoma antigen A and collagen gene families within the upregulated gene set. We also identified a prognosis classifier comprising just 30 transcripts with an overall accuracy of 95%. These findings may clarify the molecular mechanisms involved in thyroid tumor dedifferentiation and provide a potential prognosis predictor as well as targets for new therapies.</p>10aAdenoma10aAdolescent10aAdult10aAged10aBiomarkers, Tumor10aCarcinoma10aCarcinoma, Papillary10aCell Differentiation10aFemale10aGene Expression Profiling10aGene Expression Regulation, Neoplastic10aHumans10aMale10aMiddle Aged10aOligonucleotide Array Sequence Analysis10aPrognosis10aReverse Transcriptase Polymerase Chain Reaction10aRNA, Neoplasm10aSignal Transduction10aThyroid Neoplasms1 aMontero-Conde, C1 aMartín-Campos, J, M1 aLerma, E1 aGimenez, G1 aMartínez-Guitarte, J, L1 aCombalía, N1 aMontaner, D1 aMatías-Guiu, X1 aDopazo, J1 ade Leiva, A1 aRobledo, M1 aMauricio, D  uhttps://www.clinbioinfosspa.es/content/molecular-profiling-related-poor-prognosis-thyroid-carcinoma-combining-gene-expression-0