Literature DB >> 24808221

On the identification of circulating tumor cells in breast cancer.

Stelios Sfakianakis, Ekaterini S Bei, Michalis Zervakis, Despoina Vassou, Dimitrios Kafetzopoulos.   

Abstract

Breast cancer is a highly heterogeneous disease and very common among western women. The main cause of death is not the primary tumor but its metastases at distant sites, such as lymph nodes and other organs (preferentially lung, liver, and bones). The study of circulating tumor cells (CTCs) in peripheral blood resulting from tumor cell invasion and intravascular filtration highlights their crucial role concerning tumor aggressiveness and metastasis. Genomic research regarding CTCs monitoring for breast cancer is limited due to the lack of indicative genes for their detection and isolation. Instead of direct CTC detection, in our study, we focus on the identification of factors in peripheral blood that can indirectly reveal the presence of such cells. Using selected publicly available breast cancer and peripheral blood microarray datasets, we follow a two-step elimination procedure for the identification of several discriminant factors. Our procedure facilitates the identification of major genes involved in breast cancer pathology, which are also indicative of CTCs presence.

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Year:  2014        PMID: 24808221     DOI: 10.1109/JBHI.2013.2295262

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  2 in total

1.  The prognostic value of JUNB-positive CTCs in metastatic breast cancer: from bioinformatics to phenotypic characterization.

Authors:  Galatea Kallergi; Vasileia Tsintari; Stelios Sfakianakis; Ekaterini Bei; Eleni Lagoudaki; Anastasios Koutsopoulos; Nefeli Zacharopoulou; Saad Alkahtani; Saud Alarifi; Christos Stournaras; Michalis Zervakis; Vassilis Georgoulias
Journal:  Breast Cancer Res       Date:  2019-08-01       Impact factor: 6.466

2.  Three-gene prognostic biomarkers for seminoma identified by weighted gene co-expression network analysis.

Authors:  Hualin Chen; Gang Chen; Yang Pan; Xiaoxiang Jin
Journal:  PLoS One       Date:  2020-10-26       Impact factor: 3.240

  2 in total

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