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RNA-Based CTC Analysis Provides Prognostic Information in Metastatic Breast Cancer.
Strati, Areti; Nikolaou, Michail; Georgoulias, Vassilis; Lianidou, Evi S.
Afiliação
  • Strati A; Analysis of Circulating Tumor Cells Lab, Department of Chemistry, University of Athens, 15771 Athens, Greece.
  • Nikolaou M; Medical Oncology Unit, "Elena Venizelou" Hospital, 11521 Athens, Greece.
  • Georgoulias V; Metropolitan General Hospital, 15562 Athens, Greece.
  • Lianidou ES; Analysis of Circulating Tumor Cells Lab, Department of Chemistry, University of Athens, 15771 Athens, Greece.
Diagnostics (Basel) ; 11(3)2021 Mar 14.
Article em En | MEDLINE | ID: mdl-33799422
ABSTRACT
In metastatic breast cancer (MBC) the molecular characterization of circulating tumor cells (CTCs) provides a unique tool to understand metastasis-biology and therapy-resistance. We evaluated the prognostic significance of gene expression in EpCAM(+) CTCs in 46 MBC patients based on a long follow-up. We selected a panel consisting of stem cell markers (CD24, CD44, ALDH1), the mesenchymal marker TWIST1, receptors (ESR1, PGR, HER2, EGFR) and the epithelial marker CK-19. Singleplex RT-qPCR was used for TWIST1 and CK-19 and multiplex RT-qPCR for stem cell markers and receptors. A group of 19 healthy donors (HD) was used as control. Univariate (p = 0.001) and multivariate analysis (p = 0.002) revealed the prognostic value of combined gene expression of CK-19(+), CD44high/CD24low, ALDH1high/CD24low and HER2 over-expression for overall survival (OS). The Kaplan-Meier estimates of OS were significantly different in patients positive for CK-19 (p = 0.028), CD44high/CD24low (p = 0.002), ALDH1high/CD24low (p = 0.007) and HER2-positive (p = 0.022). Our results indicate that combined gene expression analysis in EpCAM(+) CTCs provides prognostic information in MBC.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Grécia

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Grécia