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Next-Generation Sequencing of Disseminated Tumor Cells

Overview of attention for article published in Frontiers in oncology, January 2013
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Title
Next-Generation Sequencing of Disseminated Tumor Cells
Published in
Frontiers in oncology, January 2013
DOI 10.3389/fonc.2013.00320
Pubmed ID
Authors

Elen K. Møller, Parveen Kumar, Thierry Voet, April Peterson, Peter Van Loo, Randi R. Mathiesen, Renathe Fjelldal, Jason Grundstad, Elin Borgen, Lars O. Baumbusch, Bjørn Naume, Anne-Lise Børresen-Dale, Kevin P. White, Silje Nord, Vessela N. Kristensen

Abstract

Disseminated tumor cells (DTCs) detected in the bone marrow have been shown as an independent prognostic factor for women with breast cancer. However, the mechanisms behind the tumor cell dissemination are still unclear and more detailed knowledge is needed to fully understand why some cells remain dormant and others metastasize. Sequencing of single cells has opened for the possibility to dissect the genetic content of subclones of a primary tumor, as well as DTCs. Previous studies of genetic changes in DTCs have employed single-cell array comparative genomic hybridization which provides information about larger aberrations. To date, next-generation sequencing provides the possibility to discover new, smaller, and copy neutral genetic changes. In this study, we performed whole-genome amplification and subsequently next-generation sequencing to analyze DTCs from two breast cancer patients. We compared copy-number profiles of the DTCs and the corresponding primary tumor generated from sequencing and SNP-comparative genomic hybridization (CGH) data, respectively. While one tumor revealed mostly whole-arm gains and losses, the other had more complex alterations, as well as subclonal amplification and deletions. Whole-arm gains or losses in the primary tumor were in general also observed in the corresponding DTC. Both primary tumors showed amplification of chromosome 1q and deletion of parts of chromosome 16q, which was recaptured in the corresponding DTCs. Interestingly, clear differences were also observed, indicating that the DTC underwent further evolution at the copy-number level. This study provides a proof-of-principle for sequencing of DTCs and correlation with primary copy-number profiles. The analyses allow insight into tumor cell dissemination and show ongoing copy-number evolution in DTCs compared to the primary tumors.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 1%
Italy 1 1%
India 1 1%
Canada 1 1%
Denmark 1 1%
Japan 1 1%
Unknown 66 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 31%
Student > Ph. D. Student 11 15%
Student > Bachelor 8 11%
Student > Doctoral Student 7 10%
Student > Master 5 7%
Other 11 15%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 35%
Medicine and Dentistry 18 25%
Biochemistry, Genetics and Molecular Biology 9 13%
Engineering 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 4 6%
Unknown 10 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 January 2014.
All research outputs
#14,915,133
of 25,374,917 outputs
Outputs from Frontiers in oncology
#4,134
of 22,416 outputs
Outputs of similar age
#169,313
of 289,004 outputs
Outputs of similar age from Frontiers in oncology
#80
of 328 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,416 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 289,004 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 328 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.