Polyphenol Intake and Epithelial Ovarian Cancer Risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study

Autor: Catalina Londoño, Valerie Cayssials, Izar de Villasante, Marta Crous-Bou, Augustin Scalbert, Elisabete Weiderpass, Antonio Agudo, Anne Tjønneland, Anja Olsen, Kim Overvad, Verena Katzke, Matthias Schulze, Domenico Palli, Vittorio Krogh, Maria Santucci de Magistris, Rosario Tumino, Fulvio Ricceri, Inger T. Gram, Charlotta Rylander, Guri Skeie, Maria-Jose Sánchez, Pilar Amiano, José María Huerta, Aurelio Barricarte, Hanna Sartor, Emily Sonestedt, Anders Esberg, Annika Idahl, Yahya Mahamat-Saleh, Nasser Laouali, Marina Kvaskoff, Renée Turzanski-Fortner, Raul Zamora-Ros

Publikováno v: Antioxidants, Vol 10, Iss 8, p 1249 (2021)

Despite some epidemiological evidence on the protective effects of polyphenol intake on epithelial ovarian cancer (EOC) risk from case-control studies, the evidence is scarce from prospective studies and non-existent for several polyphenol classes. T

Externí odkaz: https://doaj.org/article/d0d29edda4ec4ff790239b16913cf7bb

Refinement of computational identification of somatic copy number alterations using DNA methylation microarrays illustrated in cancers of unknown primary

Autor: Pedro Blecua, Veronica Davalos, Izar de Villasante, Angelika Merkel, Eva Musulen, Laia Coll-SanMartin, Manel Esteller

Publikováno v: Briefings in Bioinformatics
r-IGTP. Repositorio Institucional de Producción Científica del Instituto de Investigación Germans Trias i Pujol
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High-throughput genomic technologies are increasingly used in personalized cancer medicine. However, computational tools to maximize the use of scarce tissues combining distinct molecular layers are needed. Here we present a refined strategy, based o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::decbc5932ca3a8b639377943245c86e5
https://doi.org/10.1093/bib/bbac161

How the variability between computer-assisted analysis procedures evaluating immune markers can influence patients' outcome prediction

Autor: Marylène, Lejeune, Benoît, Plancoulaine, Nicolas, Elie, Ramon, Bosch, Laia, Fontoura, Izar, de Villasante, Anna, Korzyńska, Andrea Gras, Navarro, Esther Sauras, Colón, Carlos, López

Publikováno v: Histochemistry and cell biology. 156(5)

Differences between computer-assisted image analysis (CAI) algorithms may cause discrepancies in the identification of immunohistochemically stained immune biomarkers in biopsies of breast cancer patients. These discrepancies have implications for th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::6169fc831dbf4f978eeb1baf8a7a6e9a
https://pubmed.ncbi.nlm.nih.gov/34383240