Combined Analysis of SNP Array Data Identifies Novel CNV Candidates and Pathways in Ependymoma and Mesothelioma

dc.creatorWajnberg, Gabriel
dc.creatorCarvalho, Benilton S.
dc.creatorFerreira, Carlos G.
dc.creatorPasseti, Fabio
dc.date2016-03-10T14:37:15Z
dc.date2016-03-10T14:37:15Z
dc.date2015
dc.date.accessioned2023-09-26T23:45:47Z
dc.date.available2023-09-26T23:45:47Z
dc.identifierWAJNBERG, Gabriel; et al. Combined Analysis of SNP Array Data Identifies Novel CNV Candidates and Pathways in Ependymoma and Mesothelioma. BioMed Research International, v.2015, Article ID 902419, 10p, 2015.
dc.identifier2314-6133
dc.identifierhttps://www.arca.fiocruz.br/handle/icict/13102
dc.identifier10.1155/2015/902419
dc.identifier2314-6141
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8893949
dc.descriptionCopy number variation is a class of structural genomic modifications that includes the gain and loss of a specific genomic region, which may include an entire gene. Many studies have used low-resolution techniques to identify regions that are frequently lost or amplified in cancer. Usually, researchers choose to use proprietary or non-open-source software to detect these regions because the graphical interface tends to be easier to use. In this study, we combined two different open-source packages into an innovative strategy to identify novel copy number variations and pathways associated with cancer. We used a mesothelioma and ependymoma published datasets to assess our tool. We detected previously described and novel copy number variations that are associated with cancer chemotherapy resistance. We also identified altered pathways associated with these diseases, like cell adhesion in patients with mesothelioma and negative regulation of glutamatergic synaptic transmission in ependymoma patients. In conclusion, we present a novel strategy using open-source software to identify copy number variations and altered pathways associated with cancer.
dc.formatapplication/pdf
dc.languageeng
dc.publisherHindawi Publishing Corporation
dc.rightsopen access
dc.subjectEpendimoma
dc.subjectMesothelioma
dc.subjectCancer
dc.subjectEpendimoma
dc.subjectMesotelioma
dc.subjectCâncer
dc.titleCombined Analysis of SNP Array Data Identifies Novel CNV Candidates and Pathways in Ependymoma and Mesothelioma
dc.typeArticle


Este ítem pertenece a la siguiente institución