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Circulating and disseminated tumor cells from breast cancer patient-derived xenograft-bearing mice as a novel model to study metastasis

Overview of attention for article published in Breast Cancer Research, January 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

twitter
1 tweeter
patent
4 patents
facebook
2 Facebook pages

Citations

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35 Dimensions

Readers on

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104 Mendeley
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Title
Circulating and disseminated tumor cells from breast cancer patient-derived xenograft-bearing mice as a novel model to study metastasis
Published in
Breast Cancer Research, January 2015
DOI 10.1186/s13058-014-0508-5
Pubmed ID
Authors

Mario Giuliano, Sabrina Herrera, Pavel Christiny, Chad Shaw, Chad J Creighton, Tamika Mitchell, Raksha Bhat, Xiaomei Zhang, Sufeng Mao, Lacey E Dobrolecki, Ahmed Al-rawi, Fengju Chen, Bianca M Veneziani, Xiang H-F Zhang, Susan G Hilsenbeck, Alejandro Contreras, Carolina Gutierrez, Rinath M Jeselsohn, Mothaffar F Rimawi, C Kent Osborne, Michael T Lewis, Rachel Schiff, Meghana V Trivedi

Abstract

IntroductionReal-time monitoring of biological changes in tumors may be possible by investigating the transitional cells such as circulating tumor cells (CTCs) and disseminated tumor cells in bone marrow (BM-DTCs). However, the small numbers of CTCs and the limited access to bone marrow aspirates in cancer patients pose major hurdles. The goal of this study was to determine if breast cancer (BC) patient-derived xenograft (PDX) mice could provide a constant and renewable source of CTCs and BM-DTCs, thereby representing a unique system for the study of metastatic processes.MethodsCTCs and BM-DTCs, isolated from BC PDX-bearing mice, were identified by immunostaining for human pan-cytokeratin and nuclear counter staining of red blood cell-lysed blood and bone marrow fractions, respectively. The lung metastasis (LM) rate was previously reported in these lines. Associations between the presence of CTCs, BM-DTCs, and LM were assessed by the Fisher¿s Exact and Cochran-Mantel-Haenszel tests. Two separate genetic signatures associated with the presence of CTC clusters and with lung metastatic potential were computed using the expression arrays of primary tumors from different PDX lines and subsequently overlapped to identify common genes.ResultsA total of 18 BC PDX lines were evaluated. CTCs and BM-DTCs, present as either single cells or clusters, were detected in 83% (15/18) and 62.5% (10/16) of the lines, respectively. There was a positive association between the presence of CTCs and BM-DTCs within the same mice. LM was previously found in 9 out of 18 (50%) lines, of which all 9 had detectable CTCs. The presence of LM was strongly associated with the detection of CTC clusters but not with individual cells or detection of BM-DTCs. Overlapping of the 2 genetic signatures of the primary PDX tumors associated with the presence of CTC clusters and with lung metastatic potential identified 4 genes (HLA-DP1A, GJA1, PEG3, and XIST). This 4-gene profile predicted distant metastases-free survival in publicly available datasets of early BC patients.ConclusionThis study suggests that CTCs and BM-DTCs detected in BC PDX-bearing mice may represent a valuable and unique preclinical model for investigating the role of these rare cells in tumor metastases.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Unknown 101 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 25%
Researcher 24 23%
Student > Doctoral Student 7 7%
Student > Postgraduate 6 6%
Professor > Associate Professor 6 6%
Other 15 14%
Unknown 20 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 26%
Biochemistry, Genetics and Molecular Biology 21 20%
Medicine and Dentistry 20 19%
Engineering 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 6 6%
Unknown 26 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 07 May 2020.
All research outputs
#2,080,703
of 16,822,220 outputs
Outputs from Breast Cancer Research
#272
of 1,666 outputs
Outputs of similar age
#37,955
of 292,529 outputs
Outputs of similar age from Breast Cancer Research
#1
of 1 outputs
Altmetric has tracked 16,822,220 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,666 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 82% 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 292,529 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 1 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