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Characterization of single disseminated prostate cancer cells reveals tumor cell heterogeneity and identifies dormancy associated pathways

Overview of attention for article published in Oncotarget, September 2014
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1 tweeter

Citations

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78 Mendeley
Title
Characterization of single disseminated prostate cancer cells reveals tumor cell heterogeneity and identifies dormancy associated pathways
Published in
Oncotarget, September 2014
DOI 10.18632/oncotarget.2480
Pubmed ID
Authors

Lisly Chéry, Hung-Ming Lam, Ilsa Coleman, Bryce Lakely, Roger Coleman, Sandy Larson, Julio A. Aguirre-Ghiso, Jing Xia, Roman Gulati, Peter S. Nelson, Bruce Montgomery, Paul Lange, Linda A. Snyder, Robert L. Vessella, Colm Morrissey

Abstract

Cancer dormancy refers to the prolonged clinical disease-free time between removal of the primary tumor and recurrence, which is common in prostate cancer (PCa), breast cancer, esophageal cancer, and other cancers. PCa disseminated tumor cells (DTC) are detected in both patients with no evidence of disease (NED) and advanced disease (ADV). However, the molecular and cellular nature of DTC is unknown. We performed a first-in-field study of single DTC transcriptomic analyses in cancer patients to identify a molecular signature associated with cancer dormancy. We profiled eighty-five individual EpCAM+/CD45- cells from the bone marrow of PCa patients with NED or ADV. We analyzed 44 DTC with high prostate-epithelial signatures, and eliminated 41 cells with high erythroid signatures and low prostate epithelial signatures. DTC were clustered into 3 groups: NED, ADV_1, and ADV_2, in which the ADV_1 group presented a distinct gene expression pattern associated with the p38 stress activated kinase pathway. Additionally, DTC from the NED group were enriched for a tumor dormancy signature associated with head and neck squamous carcinoma and breast cancer. This study provides the first clinical evidence of the p38 pathway as a potential biomarker for early recurrence and an attractive target for therapeutic intervention.

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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 77 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 24%
Student > Ph. D. Student 17 22%
Student > Master 8 10%
Student > Doctoral Student 7 9%
Student > Bachelor 5 6%
Other 9 12%
Unknown 13 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 29%
Medicine and Dentistry 17 22%
Agricultural and Biological Sciences 11 14%
Mathematics 2 3%
Neuroscience 2 3%
Other 4 5%
Unknown 19 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 October 2014.
All research outputs
#13,280,443
of 15,033,985 outputs
Outputs from Oncotarget
#8,647
of 12,685 outputs
Outputs of similar age
#173,359
of 212,518 outputs
Outputs of similar age from Oncotarget
#110
of 179 outputs
Altmetric has tracked 15,033,985 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,685 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.