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Gap junctions contribute to anchorage-independent clustering of breast cancer cells

Overview of attention for article published in BMC Cancer, February 2018
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Title
Gap junctions contribute to anchorage-independent clustering of breast cancer cells
Published in
BMC Cancer, February 2018
DOI 10.1186/s12885-018-4148-5
Pubmed ID
Authors

Fabien Gava, Lise Rigal, Odile Mondesert, Elise Pesce, Bernard Ducommun, Valérie Lobjois

Abstract

Cancer cell aggregation is a key process involved in the formation of clusters of circulating tumor cells. We previously reported that cell-cell adhesion proteins, such as E-cadherin, and desmosomal proteins are involved in cell aggregation to form clusters independently of cell migration or matrix adhesion. Here, we investigated the involvement of gap junction intercellular communication (GJIC) during anchorage-independent clustering of MCF7 breast adenocarcinoma cells. We used live cell image acquisition and analysis to monitor the kinetics of MCF7 cell clustering in the presence/absence of GJIC pharmacological inhibitors and to screen a LOPAC® bioactive compound library. We also used a calcein transfer assay and flow cytometry to evaluate GJIC involvement in cancer cell clustering. We first demonstrated that functional GJIC are established in the early phase of cancer cell aggregation. We then showed that pharmacological inhibition of GJIC using tonabersat and meclofenamate delayed MCF7 cell clustering and reduced calcein transfer. We also found that brefeldin A, an inhibitor of vesicular trafficking, which we identified by screening a small compound library, and latrunculin A, an actin cytoskeleton-disrupting agent, both impaired MCF7 cell clustering and calcein transfer. Our results demonstrate that GJIC are involved from the earliest stages of anchorage-independent cancer cell aggregation. They also give insights into the regulatory mechanisms that could modulate the formation of clusters of circulating tumor cells.

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The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Student > Master 3 15%
Student > Bachelor 2 10%
Researcher 2 10%
Other 1 5%
Other 3 15%
Unknown 4 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 35%
Medicine and Dentistry 5 25%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Computer Science 1 5%
Agricultural and Biological Sciences 1 5%
Other 0 0%
Unknown 4 20%