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The network structure of hematopoietic cancers.
Nakamura-García, Arturo Kenzuke; Espinal-Enríquez, Jesús.
Afiliação
  • Nakamura-García AK; National Institute of Genomic Medicine, Computational Genomics, 14610, Mexico City, Mexico.
  • Espinal-Enríquez J; National Institute of Genomic Medicine, Computational Genomics, 14610, Mexico City, Mexico. jespinal@inmegen.gob.mx.
Sci Rep ; 13(1): 19837, 2023 11 13.
Article em En | MEDLINE | ID: mdl-37963971
Hematopoietic cancers (HCs) are a heterogeneous group of malignancies that affect blood, bone marrow and lymphatic system. Here, by analyzing 1960 RNA-Seq samples from three independent datasets, we explored the co-expression landscape in HCs, by inferring gene co-expression networks (GCNs) with four cancer phenotypes (B and T-cell acute leukemia -BALL, TALL-, acute myeloid leukemia -AML-, and multiple myeloma -MM-) as well as non-cancer bone marrow. We characterized their structure (topological features) and function (enrichment analyses). We found that, as in other types of cancer, the highest co-expression interactions are intra-chromosomal, which is not the case for control GCNs. We also detected a highly co-expressed group of overexpressed pseudogenes in HC networks. The four GCNs present only a small fraction of common interactions, related to canonical functions, like immune response or erythrocyte differentiation. With this approach, we were able to reveal cancer-specific features useful for detection of disease manifestations.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leucemia-Linfoma de Células T do Adulto / Leucemia Mieloide Aguda / Neoplasias Hematológicas Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article País de afiliação: México País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leucemia-Linfoma de Células T do Adulto / Leucemia Mieloide Aguda / Neoplasias Hematológicas Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article País de afiliação: México País de publicação: Reino Unido