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A systematic comparison of copy number alterations in four types of female cancer.
Kaveh, Fatemeh; Baumbusch, Lars O; Nebdal, Daniel; Børresen-Dale, Anne-Lise; Lingjærde, Ole Christian; Edvardsen, Hege; Kristensen, Vessela N; Solvang, Hiroko K.
Afiliación
  • Kaveh F; Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway.
  • Baumbusch LO; Medical Genetics Department, Oslo University Hospital Ullevål, Oslo, Norway.
  • Nebdal D; Department of Pediatric Research, Division of Pediatric and Adolescent Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway.
  • Børresen-Dale AL; Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway.
  • Lingjærde OC; Department of Pediatric Research, Division of Pediatric and Adolescent Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway.
  • Edvardsen H; Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway.
  • Kristensen VN; Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway.
  • Solvang HK; Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway.
BMC Cancer ; 16(1): 913, 2016 11 22.
Article en En | MEDLINE | ID: mdl-27876019
BACKGROUND: Detection and localization of genomic alterations and breakpoints are crucial in cancer research. The purpose of this study was to investigate, in a methodological and biological perspective, different female, hormone-dependent cancers to identify common and diverse DNA aberrations, genes, and pathways. METHODS: In this work, we analyzed tissue samples from patients with breast (n = 112), ovarian (n = 74), endometrial (n = 84), or cervical (n = 76) cancer. To identify genomic aberrations, the Circular Binary Segmentation (CBS) and Piecewise Constant Fitting (PCF) algorithms were used and segmentation thresholds optimized. The Genomic Identification of Significant Targets in Cancer (GISTIC) algorithm was applied to the segmented data to identify significantly altered regions and the associated genes were analyzed by Ingenuity Pathway Analysis (IPA) to detect over-represented pathways and functions within the identified gene sets. RESULTS AND DISCUSSION: Analyses of high-resolution copy number alterations in four different female cancer types are presented. For appropriately adjusted segmentation parameters the two segmentation algorithms CBS and PCF performed similarly. We identified one region at 8q24.3 with focal aberrations that was altered at significant frequency across all four cancer types. Considering both, broad regions and focal peaks, three additional regions with gains at significant frequency were revealed at 1p21.1, 8p22, and 13q21.33, respectively. Several of these events involve known cancer-related genes, like PPP2R2A, PSCA, PTP4A3, and PTK2. In the female reproductive system (ovarian, endometrial, and cervix [OEC]), we discovered three common events: copy number gains at 5p15.33 and 15q11.2, further a copy number loss at 8p21.2. Interestingly, as many as 75% of the aberrations (75% amplifications and 86% deletions) identified by GISTIC were specific for just one cancer type and represented distinct molecular pathways. CONCLUSIONS: Our results disclose that some prominent copy number changes are shared in the four examined female, hormone-dependent cancer whereas others are definitive to specific cancer types.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estudios de Asociación Genética / Variaciones en el Número de Copia de ADN / Neoplasias Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: BMC Cancer Asunto de la revista: NEOPLASIAS Año: 2016 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estudios de Asociación Genética / Variaciones en el Número de Copia de ADN / Neoplasias Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: BMC Cancer Asunto de la revista: NEOPLASIAS Año: 2016 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Reino Unido