Your browser doesn't support javascript.
loading
Transcriptional Profiling of Breast Cancer Metastases Identifies Liver Metastasis-Selective Genes Associated with Adverse Outcome in Luminal A Primary Breast Cancer.
Kimbung, Siker; Johansson, Ida; Danielsson, Anna; Veerla, Srinivas; Egyhazi Brage, Suzanne; Frostvik Stolt, Marianne; Skoog, Lambert; Carlsson, Lena; Einbeigi, Zakaria; Lidbrink, Elisabet; Linderholm, Barbro; Loman, Niklas; Malmström, Per-Olof; Söderberg, Martin; Walz, Thomas M; Fernö, Mårten; Hatschek, Thomas; Hedenfalk, Ingrid.
Afiliação
  • Kimbung S; Division of Oncology and Pathology, Department of Clinical Sciences, Lund, Lund University, Sweden. CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden.
  • Johansson I; Division of Oncology and Pathology, Department of Clinical Sciences, Lund, Lund University, Sweden. CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden.
  • Danielsson A; Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Veerla S; Division of Oncology and Pathology, Department of Clinical Sciences, Lund, Lund University, Sweden. CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden.
  • Egyhazi Brage S; Department of Oncology and Pathology, Karolinska Institutet and Karolinska University Hospital, Sweden.
  • Frostvik Stolt M; Department of Oncology and Pathology, Karolinska Institutet and Karolinska University Hospital, Sweden.
  • Skoog L; Department of Oncology and Pathology, Karolinska Institutet and Karolinska University Hospital, Sweden.
  • Carlsson L; Department of Oncology, Sundsvall Hospital, Sundsvall, Sweden.
  • Einbeigi Z; Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Lidbrink E; Department of Oncology and Pathology, Karolinska Institutet and Karolinska University Hospital, Sweden.
  • Linderholm B; Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Loman N; Department of Oncology, Skåne University Hospital, Lund/Malmö, Sweden.
  • Malmström PO; Department of Oncology, Skåne University Hospital, Lund/Malmö, Sweden.
  • Söderberg M; Department of Oncology, Skåne University Hospital, Lund/Malmö, Sweden.
  • Walz TM; Division of Oncology, Department of Clinical and Experimental Medicine, Faculty of Health Sciences, Linköping University, Linköping, Sweden.
  • Fernö M; Division of Oncology and Pathology, Department of Clinical Sciences, Lund, Lund University, Sweden.
  • Hatschek T; Department of Oncology and Pathology, Karolinska Institutet and Karolinska University Hospital, Sweden.
  • Hedenfalk I; Division of Oncology and Pathology, Department of Clinical Sciences, Lund, Lund University, Sweden. CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden. Ingrid.Hedenfalk@med.lu.se.
Clin Cancer Res ; 22(1): 146-57, 2016 Jan 01.
Article em En | MEDLINE | ID: mdl-26276891
PURPOSE: The complete molecular basis of the organ-specificity of metastasis is elusive. This study aimed to provide an independent characterization of the transcriptional landscape of breast cancer metastases with the specific objective to identify liver metastasis-selective genes of prognostic importance following primary tumor diagnosis. EXPERIMENTAL DESIGN: A cohort of 304 women with advanced breast cancer was studied. Associations between the site of recurrence and clinicopathologic features were investigated. Fine-needle aspirates of metastases (n = 91) were subjected to whole-genome transcriptional profiling. Liver metastasis-selective genes were identified by significance analysis of microarray (SAM) analyses and independently validated in external datasets. Finally, the prognostic relevance of the liver metastasis-selective genes in primary breast cancer was tested. RESULTS: Liver relapse was associated with estrogen receptor (ER) expression (P = 0.002), luminal B subtype (P = 0.01), and was prognostic for an inferior postrelapse survival (P = 0.01). The major variation in the transcriptional landscape of metastases was also associated with ER expression and molecular subtype. However, liver metastases displayed unique transcriptional fingerprints, characterized by downregulation of extracellular matrix (i.e., stromal) genes. Importantly, we identified a 17-gene liver metastasis-selective signature, which was significantly and independently prognostic for shorter relapse-free (P < 0.001) and overall (P = 0.001) survival in ER-positive tumors. Remarkably, this signature remained independently prognostic for shorter relapse-free survival (P = 0.001) among luminal A tumors. CONCLUSIONS: Extracellular matrix (stromal) genes can be used to partition breast cancer by site of relapse and may be used to further refine prognostication in ER positive primary breast cancer.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Perfilação da Expressão Gênica / Neoplasias Hepáticas Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Perfilação da Expressão Gênica / Neoplasias Hepáticas Idioma: En Ano de publicação: 2016 Tipo de documento: Article