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Single-cell mRNA profiling reveals transcriptional heterogeneity among pancreatic circulating tumour cells

Overview of attention for article published in BMC Cancer, May 2017
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Title
Single-cell mRNA profiling reveals transcriptional heterogeneity among pancreatic circulating tumour cells
Published in
BMC Cancer, May 2017
DOI 10.1186/s12885-017-3385-3
Pubmed ID
Authors

Morten Lapin, Kjersti Tjensvoll, Satu Oltedal, Milind Javle, Rune Smaaland, Bjørnar Gilje, Oddmund Nordgård

Abstract

Single-cell mRNA profiling of circulating tumour cells may contribute to a better understanding of the biology of these cells and their role in the metastatic process. In addition, such analyses may reveal new knowledge about the mechanisms underlying chemotherapy resistance and tumour progression in patients with cancer. Single circulating tumour cells were isolated from patients with locally advanced or metastatic pancreatic cancer with immuno-magnetic depletion and immuno-fluorescence microscopy. mRNA expression was analysed with single-cell multiplex RT-qPCR. Hierarchical clustering and principal component analysis were performed to identify expression patterns. Circulating tumour cells were detected in 33 of 56 (59%) examined blood samples. Single-cell mRNA profiling of intact isolated circulating tumour cells revealed both epithelial-like and mesenchymal-like subpopulations, which were distinct from leucocytes. The profiled circulating tumour cells also expressed elevated levels of stem cell markers, and the extracellular matrix protein, SPARC. The expression of SPARC might correspond to an epithelial-mesenchymal transition in pancreatic circulating tumour cells. The analysis of single pancreatic circulating tumour cells identified distinct subpopulations and revealed elevated expression of transcripts relevant to the dissemination of circulating tumour cells to distant organ sites.

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Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 18%
Student > Ph. D. Student 5 13%
Student > Bachelor 5 13%
Other 4 10%
Student > Doctoral Student 3 8%
Other 9 23%
Unknown 7 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 40%
Medicine and Dentistry 6 15%
Agricultural and Biological Sciences 3 8%
Mathematics 1 3%
Computer Science 1 3%
Other 6 15%
Unknown 7 18%