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Somatic mutation landscape of a meningioma and its pulmonary metastasis

Overview of attention for article published in Cancer Communications, May 2018
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Title
Somatic mutation landscape of a meningioma and its pulmonary metastasis
Published in
Cancer Communications, May 2018
DOI 10.1186/s40880-018-0291-2
Pubmed ID
Authors

Yaran Du, Ting Lu, Song Huang, Fangfang Ren, Gang Cui, Jian Chen

Abstract

Extracranial metastasis (ENM) of meningiomas is extremely rare, and typically occurs several years after a primary tumor is diagnosed. However, the genetic changes underlying ENM events have not yet been investigated. A 58-year-old male patient was sent to the emergency room of our hospital because of a sudden fall. Magnetic resonance imaging detected a mass at the right frontal sagittal sinus. He underwent tumor resection and recovered well, but post-operative computed tomography revealed three lumps on the right side of his chest. Thoracic surgery was performed to remove two of the lumps. Pathological findings revealed that the brain and lung tumors were grade I meningiomas. The patient received no additional radiation or chemotherapy post-surgery, and there was no sign of tumor recurrence in the brain or progression of the remaining lump in the chest 1 year after surgery. We performed whole exome sequencing of the patient's blood, primary brain tumor, and lung metastatic tumor tissues to identify somatic genetic alterations that had occurred during ENM. This revealed that a frameshift deletion of the neurofibromin 2 gene likely drove formation of the meningioma. Surprisingly, we found that the brain tumor was relatively homogeneous and contained only one dominant clone; both the pulmonary metastasis and the original brain tumor were derived from the same clone, and no obvious additional driver mutations were detected in the metastatic tumor. Although ENM of meningiomas is very rare, brain tumor cells appear to be more adaptable to tissue microenvironments outside of the central nervous system than was commonly thought.

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Ph. D. Student 2 15%
Student > Master 2 15%
Student > Doctoral Student 1 8%
Student > Bachelor 1 8%
Other 1 8%
Unknown 2 15%
Readers by discipline Count As %
Medicine and Dentistry 5 38%
Agricultural and Biological Sciences 2 15%
Biochemistry, Genetics and Molecular Biology 2 15%
Computer Science 1 8%
Neuroscience 1 8%
Other 0 0%
Unknown 2 15%

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 26 February 2019.
All research outputs
#13,141,002
of 16,534,657 outputs
Outputs from Cancer Communications
#62
of 122 outputs
Outputs of similar age
#210,889
of 281,869 outputs
Outputs of similar age from Cancer Communications
#1
of 1 outputs
Altmetric has tracked 16,534,657 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 122 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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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