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Exome-level comparison of primary well-differentiated neuroendocrine tumors and their cell lines

Overview of attention for article published in Cancer Genetics, April 2015
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Title
Exome-level comparison of primary well-differentiated neuroendocrine tumors and their cell lines
Published in
Cancer Genetics, April 2015
DOI 10.1016/j.cancergen.2015.04.002
Pubmed ID
Authors

Ganesh K. Boora, Rahul Kanwar, Amit A. Kulkarni, Josef Pleticha, Matthew Ames, Gary Schroth, Andreas S. Beutler, Michaela S. Banck

Abstract

Neuroendocrine cancer cell lines are used to investigate therapeutic targets in neuroendocrine tumors (NET) and have been instrumental in the design of clinical trials targeting the PI3K/AKT/mTOR pathways, VEGF inhibitors, and somatostatin analogues. It remains unknown, however, whether the genomic makeup of NET cell lines reflect that of primary NET since comprehensive unbiased genome sequencing has not been performed on the cell lines. Four bronchopulmonary NET (BP-NET)-NCI-H720, NCI-H727, NCI-H835, and UMC11-and two pancreatic neuroendocrine tumors (panNET)-BON-1 and QGP1-were cultured. DNA was isolated, and exome sequencing was done. GATK and EXCAVATOR were used for bioinformatic analysis. We detected a total of 1,764 nonsynonymous single nucleotide variants at a rate of 8 per Mb in BP-NET and 4.3 per Mb in panNET cell lines, including 52 mutated COSMIC cancer genes in these cell lines, such as TP53, BRCA1, RB1, TSC2, NOTCH1, EP300, GNAS, KDR, STK11, and APC but not ATRX, DAXX, nor MEN1. Our data suggest that mutation rate, the pattern of copy number variations, and the mutational spectra in the BP-NET cell lines are more similar to the changes observed in small cell lung cancer than those found in primary BP-NET. Likewise, mutation rate and pattern including the absence of mutations in ATRX/DAXX, MEN1, and YY1 in the panNET cell lines BON1 and QGP1 suggest that these cell lines do not have the genetic signatures of a primary panNET. These results suggest that results from experiments with BP-NET and panNET cell lines need to be interpreted with caution.

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Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 18%
Student > Ph. D. Student 10 15%
Student > Bachelor 9 13%
Student > Doctoral Student 7 10%
Student > Master 7 10%
Other 7 10%
Unknown 16 24%
Readers by discipline Count As %
Medicine and Dentistry 22 32%
Biochemistry, Genetics and Molecular Biology 13 19%
Agricultural and Biological Sciences 13 19%
Computer Science 1 1%
Psychology 1 1%
Other 1 1%
Unknown 17 25%