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Luminal B breast cancer subtype displays a dicotomic epigenetic pattern.
Bediaga, Naiara G; Beristain, Elena; Calvo, Borja; Viguri, María A; Gutierrez-Corres, Borja; Rezola, Ricardo; Ruiz-Diaz, Irune; Guerra, Isabel; de Pancorbo, Marian M.
Afiliación
  • Bediaga NG; BIOMICs Research Group, Lascaray Research Center, University of the Basque Country (UPV/EHU), Avda. Miguel de Unamuno, 3, 01006 Vitoria-Gasteiz, Spain.
  • Beristain E; Molecular (Epi)Genetics Laboratory, BioAraba National Health Institute, OSI Araba University Hospital, 01009 Vitoria-Gasteiz, Spain.
  • Calvo B; Intelligent Systems Group, University of the Basque Country (UPV/EHU), Donostia-San Sebastián, Basque Country Spain.
  • Viguri MA; Service of Anatomic Pathology, OSI Araba University Hospital, 01009 Vitoria-Gasteiz, Spain.
  • Gutierrez-Corres B; Service of Anatomic Pathology, OSI Araba University Hospital, 01009 Vitoria-Gasteiz, Spain.
  • Rezola R; Service of Anatomic Pathology, Onkologikoa, Paseo Dr. Begiristain 121, 20014 Donostia-San Sebastián, Gipuzkoa Spain.
  • Ruiz-Diaz I; Service of Anatomic Pathology, Hospital Universitario Donostia, Paseo Dr. Begiristain 107-115, 20014 Donostia-San Sebastián, Gipuzkoa Spain.
  • Guerra I; Service of Anatomic Pathology, OSI Araba University Hospital, 01009 Vitoria-Gasteiz, Spain.
  • de Pancorbo MM; BIOMICs Research Group, Lascaray Research Center, University of the Basque Country (UPV/EHU), Avda. Miguel de Unamuno, 3, 01006 Vitoria-Gasteiz, Spain.
Springerplus ; 5: 623, 2016.
Article en En | MEDLINE | ID: mdl-27330889
Luminal B breast tumors have aggressive clinical and biological features, and constitute the most heterogeneous molecular subtype, both clinically and molecularly. Unfortunately, the immunohistochemistry correlate of the luminal B subtype remains still imprecise, and it has now become of paramount importance to define a classification scheme capable of segregating luminal tumors into clinically meaningful subgroups that may be used clinically to guide patient management. With the aim of unraveling the DNA methylation profiles of the luminal subtypes currently being most used in the clinical setting, we have quantified the DNA methylation level of 27,578 CpG sites in 17 luminal B (ER+, Ki67 ≥ 20 % or PgR < 20 % and HER2-), 8 luminal A (ER+ and Ki67 > 20 %) and 4 luminal B-HER2+ (ER+ and HER2+) breast cancer samples by using the Illumina Infinium methylation microarray approach. Unsupervised hierarchical clustering revealed that DNA methylation stratifies luminal B samples in two categories with differing epigenetic and clinical features. One subgroup of luminal B samples showed a methylator phenotype and clustered with the lumB-HER tumors, while the other showed less methylated events, clustered with the luminal A. A 3 CpG marker panel capable of discriminating methylator versus non-methylator luminal B samples was identified and further validated in an independent cohort of patients. Our results provide evidence that DNA methylation and, more specifically, a panel of 3 CpG markers, enables the stratification of luminal B samples in two categories with differing epigenetic and clinical features and support the utilization of this panel for therapeutic stratification of patients with luminal breast cancer.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Springerplus Año: 2016 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Springerplus Año: 2016 Tipo del documento: Article País de afiliación: España