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Browsing by Author "Balana, Carmen"

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Glioblastoma TCGA mesenchymal and IGS 23 tumors are identifiable by immunohistochemistry and have an immune-phenotype indicating potential benefit from immunotherapy

Carrato, Cristina; Alameda Quitllet, Francisco; Esteve-Codina, Anna; Arpí Llucià, Oriol; Gut, Marta; Menéndez, Silvia; Balana, Carmen (American Association for Cancer Research (AACR), 2020)

Purpose: Molecular subtype classifications in glioblastoma may detect therapy sensitivities. Immunohistochemistry would potentially allow the identification of molecular subtypes in routine clinical practice. Experimental ...
In silico validation of RNA-Seq results can identify gene fusions with oncogenic potential in glioblastoma

Hernandez, Ainhoa; Muñoz-Mármol, Ana M.; Esteve-Codina, Anna; Alameda Quitllet, Francisco; Carrato, Cristina; Pineda, Estela; Arpí Llucià, Oriol; Martinez-García, Maria; Mallo, Mar; Gut, Marta; Barco Berrón, Sonia del; Gallego, Oscar; Dabad, Marc; Mesia, Carlos; Bellosillo Paricio, Beatriz; Domenech, Marta; Vidal, Noemí; Aldecoa, Iban; Iglesia, Nuria de la; Balana, Carmen (Nature Research, 2022)

RNA-Sequencing (RNA-Seq) can identify gene fusions in tumors, but not all these fusions have functional consequences. Using multiple data bases, we have performed an in silico analysis of fusions detected by RNA-Seq in ...
RNA-Sequencing and immunohistochemistry reveal ZFN7 as a stronger marker of survival than molecular subtypes in G-CIMP-negative glioblastoma

Esteve-Codina, Anna; Alameda Quitllet, Francisco; Arpí Llucià, Oriol; Gut, Marta; Dabad, Marc; Balana, Carmen (American Association for Cancer Research (AACR), 2021)

Purpose: Glioblastoma is the most aggressive brain tumor in adults and has few therapeutic options. The study of molecular subtype classifications may lead to improved prognostic classification and identification of new ...

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Browsing by Author "Balana, Carmen"

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