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Genetic analysis of circulating tumor cells in pancreatic cancer patients: A pilot study.
Görner, Karin; Bachmann, Jeannine; Holzhauer, Claudia; Kirchner, Roland; Raba, Katharina; Fischer, Johannes C; Martignoni, Marc E; Schiemann, Matthias; Alunni-Fabbroni, Marianna.
Afiliação
  • Görner K; Beckman Coulter Biomedical GmbH, 81377 Munich, Germany.
  • Bachmann J; Department of Surgery, Klinikum rechts der Isar, Technische Universität München, 81675 Munich, Germany.
  • Holzhauer C; Beckman Coulter Biomedical GmbH, 81377 Munich, Germany.
  • Kirchner R; Beckman Coulter Biomedical GmbH, 81377 Munich, Germany.
  • Raba K; Institute for Transplantation Diagnostics and Cell Therapy, Heinrich-Heine Universität Düsseldorf, Medical Faculty, 40225 Düsseldorf, Germany.
  • Fischer JC; Institute for Transplantation Diagnostics and Cell Therapy, Heinrich-Heine Universität Düsseldorf, Medical Faculty, 40225 Düsseldorf, Germany.
  • Martignoni ME; Department of Surgery, Klinikum rechts der Isar, Technische Universität München, 81675 Munich, Germany.
  • Schiemann M; Institute for Medical Microbiology, Immunology and Hygiene, Technische Universität München, 81675 Munich, Germany.
  • Alunni-Fabbroni M; Beckman Coulter Biomedical GmbH, 81377 Munich, Germany. Electronic address: Marianna.Alunni@uni.med-muenchen.de.
Genomics ; 106(1): 7-14, 2015 Jul.
Article em En | MEDLINE | ID: mdl-25812950
ABSTRACT
UNLABELLED Pancreatic cancer is one of the most aggressive malignant tumors, mainly due to an aggressive metastasis spreading. In recent years, circulating tumor cells became associated to tumor metastasis. Little is known about their expression profiles. The aim of this study was to develop a complete workflow making it possible to isolate circulating tumor cells from patients with pancreatic cancer and their genetic characterization.

RESULTS:

We show that the proposed workflow offers a technical sensitivity and specificity high enough to detect and isolate single tumor cells. Moreover our approach makes feasible to genetically characterize single CTCs.

CONCLUSIONS:

Our work discloses a complete workflow to detect, count and genetically analyze individual CTCs isolated from blood samples. This method has a central impact on the early detection of metastasis development. The combination of cell quantification and genetic analysis provides the clinicians with a powerful tool not available so far.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Células Neoplásicas Circulantes Tipo de estudo: Screening_studies Limite: Aged / Aged80 / Female / Humans / Male Idioma: En Revista: Genomics Assunto da revista: GENETICA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Células Neoplásicas Circulantes Tipo de estudo: Screening_studies Limite: Aged / Aged80 / Female / Humans / Male Idioma: En Revista: Genomics Assunto da revista: GENETICA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Alemanha