Publications by authors named "F Ortiz-Martinez"

Recent reports from the World Health Organization regarding Influenza A cases of zoonotic origin in humans (H1v and H9N2) and publications describing emergence swine Influenza A cases in humans together with "G4" Eurasian avian-like H1N1 Influenza A virus have drawn global attention to Influenza A pandemic threat. Additionally, the current COVID-19 epidemic has stressed the importance of surveillance and preparedness to prevent potential outbreaks. One feature of the QIAstat-Dx Respiratory SARS-CoV-2 panel is the double target approach for Influenza A detection of seasonal strains affecting humans using a generic Influenza A assay plus the three specific human subtype assays.

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Purpose: Hedgehog (Hh) signaling is a crucial developmental regulatory pathway recognized as a primary oncogenesis driver in various human cancers. However, its role in breast carcinoma (BC) has been underexplored.

Methods: We analyzed the expression of several Hh associated genes in a clinical series and breast cancer cell lines.

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Inhibitor of differentiation (ID) proteins are a family of transcription factors that contribute to maintaining proliferation during embryogenesis as they avoid cell differentiation. Afterward, their expression is mainly silenced, but their reactivation and contribution to tumor development have been suggested. In breast cancer (BC), the overexpression of ID1 has been previously described.

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Prognosis of HPV negative head and neck squamous cell carcinoma (HNSCC) patients remains poor despite surgical and medical advances and inadequacy of predictive and prognostic biomarkers in this type of cancer highlights one of the challenges to successful therapy. Statins, widely used for the treatment of hyperlipidaemia, have been shown to possess anti-tumour effects which were partly attributed to their ability to interfere with metabolic pathways essential in the survival of cancer cells. Here, we have investigated the effect of statins on the metabolic modulation of HNSCC cancers with a vision to predict a personalised anticancer therapy.

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We studied the relationship between CD44 and Forkhead box P3 (FOXP3) gene expression in cell lines and breast carcinomas and their association with clinicopathological variables and patient outcome. We assessed messenger RNA (mRNA) expression of CD44 and FOXP3 by quantitative real-time PCR and determined the number of FOXP3+ Tregs by immunohistochemistry in 264 breast cancer specimens. CD44 was stimulated with hyaluronan treatment, and the accompanying changes in FOXP3 mRNA expression in breast cancer cell lines representing breast cancer subtype were assessed.

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