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Progress and challenges of sequencing and analyzing circulating tumor cells

Overview of attention for article published in Cell Biology and Toxicology, November 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 525)
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

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13 X users
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1 patent
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1 Google+ user

Citations

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63 Dimensions

Readers on

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87 Mendeley
Title
Progress and challenges of sequencing and analyzing circulating tumor cells
Published in
Cell Biology and Toxicology, November 2017
DOI 10.1007/s10565-017-9418-5
Pubmed ID
Authors

Zhongyi Zhu, Si Qiu, Kang Shao, Yong Hou

Abstract

Circulating tumor cells (CTCs) slough off primary tumor tissues and are swept away by the circulatory system. These CTCs can remain in circulation or colonize new sites, forming metastatic clones in distant organs. Recently, CTC analyses have been successfully used as effective clinical tools to monitor tumor progression and prognosis. With advances in next-generation sequencing (NGS) and single-cell sequencing (SCS) technologies, scientists can obtain the complete genome of a CTC and compare it with corresponding primary and metastatic tumors. CTC sequencing has been successfully applied to monitor genomic variations in metastatic and recurrent tumors, infer tumor evolution during treatment, and examine gene expression as well as the mechanism of the epithelial-mesenchymal transition. However, compared with cancer biopsy sequencing and circulating tumor DNA sequencing, the sequencing of CTC genomes and transcriptomes is more complex and technically difficult. Challenges include enriching pure tumor cells from a background of white blood cells, isolating and collecting cells without damaging or losing DNA and RNA, obtaining unbiased and even whole-genome and transcriptome amplification material, and accurately analyzing CTC sequencing data. Here, we review and summarize recent studies using NGS on CTCs. We mainly focus on CTC genome and transcriptome sequencing and the biological and potential clinical applications of these methodologies. Finally, we discuss challenges and future perspectives of CTC sequencing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 20%
Student > Master 13 15%
Student > Ph. D. Student 10 11%
Student > Bachelor 5 6%
Other 4 5%
Other 8 9%
Unknown 30 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 26%
Medicine and Dentistry 10 11%
Agricultural and Biological Sciences 9 10%
Nursing and Health Professions 2 2%
Engineering 2 2%
Other 6 7%
Unknown 35 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 20 May 2021.
All research outputs
#2,969,331
of 25,366,663 outputs
Outputs from Cell Biology and Toxicology
#20
of 525 outputs
Outputs of similar age
#61,200
of 451,808 outputs
Outputs of similar age from Cell Biology and Toxicology
#1
of 3 outputs
Altmetric has tracked 25,366,663 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 525 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 96% 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 451,808 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them