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Extracellular Vesicle RNA Sequencing Reveals Dramatic Transcriptomic Alterations Between Metastatic and Primary Osteosarcoma in a Liquid Biopsy Approach

Overview of attention for article published in Annals of Surgical Oncology, July 2018
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Title
Extracellular Vesicle RNA Sequencing Reveals Dramatic Transcriptomic Alterations Between Metastatic and Primary Osteosarcoma in a Liquid Biopsy Approach
Published in
Annals of Surgical Oncology, July 2018
DOI 10.1245/s10434-018-6642-z
Pubmed ID
Authors

Qiyuan Bao, Liangzhi Gong, Jizhuang Wang, Junxiang Wen, Yuhui Shen, Weibin Zhang

Abstract

Osteosarcoma (OS) is a highly metastasizing bone malignancy despite wide surgical resection of the primary lesion. A liquid biopsy approach to detect residual disease and identify therapeutic targets is still lacking. In this report, we aimed to track the metastasis of OS via extracellular vesicle (EV) RNA profiling in a non-invasive manner. We applied RNA sequencing for 10 matched metastatic and primary OS EV samples, including two pairs of cell lines and three pairs of plasma, and compared the expressed mutation, gene expression, fusion transcript, and alternative splicing (AS) between metastatic and primary OS at the transcriptome-wide level. Additional paired tissue/EVs were sequenced and public datasets were used to validate the EV-based metastatic biopsy. EVs were characterized through size-profiling, immunolabeling, and morphological examination. A drastic increase of mutation burden was observed in metastatic OS versus the non-metastatic counterpart. Hierarchical clustering of the expression profiles differentiated the metastatic EVs from the non-metastatic, with a signature enriched in cell-adhesion signaling and tyrosine kinase pathways. Moreover, 30 cancer-related gene fusions were identified in EV RNA as AS events tend to be more frequently observed in metastatic EVs. Further investigation suggested that over 70% of expressed point mutations from EVs could be validated in paired cell line/EV and tissue/EV analyses, and the expression signature significantly predicted 5-year survivorship of 42 patients from a public dataset. We have demonstrated a liquid biopsy-based approach for tracking cancer transcriptomic alterations, which is a promising source of prognostic and therapeutic biomarkers for metastatic OS. NCT03108677.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Other 3 9%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 4 11%
Unknown 11 31%
Readers by discipline Count As %
Medicine and Dentistry 10 29%
Biochemistry, Genetics and Molecular Biology 5 14%
Agricultural and Biological Sciences 2 6%
Immunology and Microbiology 1 3%
Computer Science 1 3%
Other 2 6%
Unknown 14 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 July 2018.
All research outputs
#13,621,195
of 23,094,276 outputs
Outputs from Annals of Surgical Oncology
#3,886
of 6,549 outputs
Outputs of similar age
#169,739
of 327,716 outputs
Outputs of similar age from Annals of Surgical Oncology
#93
of 126 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,549 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 327,716 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.