@article {504,
	title = {Differential gene-expression analysis defines a molecular pattern related to olive pollen allergy.},
	journal = {J Biol Regul Homeost Agents},
	volume = {27},
	year = {2013},
	month = {2013 Apr-Jun},
	pages = {337-50},
	abstract = {<p>Analysis of gene-expression profiles by microarrays is useful for characterization of candidate genes, key regulatory networks, and to define phenotypes or molecular signatures which improve the diagnosis and/or classification of the allergic processes. We have used this approach in the study of olive pollen response in order to find differential molecular markers among responders and non-responders to this allergenic source. Five clinical groups, non-allergic, asymptomatic, allergic but not to olive pollen, untreated-olive-pollen allergic patients and olive-pollen allergic patients (under specific-immunotherapy), were assessed during and outside pollen seasons. Whole-genome gene expression analysis was performed in RNAs extracted from PBMCs. After assessment of data quality and principal components analysis (PCA), differential gene-expression, by multiple testing and, functional analyses by KEGG, for pathways and Gene-Ontology for biological processes were performed. Relevance was defined by fold change and corrected P values (less than 0.05). The most differential genes were validated by qRT-PCR in a larger set of individuals. Interestingly, gene-expression profiling obtained by PCA clearly showed five clusters of samples that correlated with the five clinical groups. Furthermore, differential gene expression and functional analyses revealed differential genes and pathways in the five clinical groups. The 93 most significant genes found were validated, and one set of 35 genes was able to discriminate profiles of olive pollen response. Our results, in addition to providing new information on allergic response, define a possible molecular signature for olive pollen allergy which could be useful for the diagnosis and treatment of this and other sensitizations. </p>},
	keywords = {Adult, Female, Gene Expression Profiling, Humans, Male, Middle Aged, Olea, Principal Component Analysis, Rhinitis, Allergic, Seasonal},
	issn = {0393-974X},
	author = {Aguerri, M and Calzada, D and Montaner, D and Mata, M and Florido, F and Quiralte, J and Dopazo, J and Lahoz, C and Cardaba, B}
}
@article {597,
	title = {Molecular profiling related to poor prognosis in thyroid carcinoma. Combining gene expression data and biological information.},
	journal = {Oncogene},
	volume = {27},
	year = {2008},
	month = {2008 Mar 06},
	pages = {1554-61},
	abstract = {<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>},
	keywords = {Adenoma, Adolescent, Adult, Aged, Biomarkers, Tumor, Carcinoma, Carcinoma, Papillary, Cell Differentiation, Female, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Humans, Male, Middle Aged, Oligonucleotide Array Sequence Analysis, Prognosis, Reverse Transcriptase Polymerase Chain Reaction, RNA, Neoplasm, Signal Transduction, Thyroid Neoplasms},
	issn = {1476-5594},
	doi = {10.1038/sj.onc.1210792},
	author = {Montero-Conde, C and Mart{\'\i}n-Campos, J M and Lerma, E and Gimenez, G and Mart{\'\i}nez-Guitarte, J L and Combal{\'\i}a, N and Montaner, D and Mat{\'\i}as-Guiu, X and Dopazo, J and de Leiva, A and Robledo, M and Mauricio, D}
}
