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Genomic analysis reveals secondary glioblastoma after radiotherapy in a subset of recurrent medulloblastomas

Overview of attention for article published in Acta Neuropathologica, April 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Title
Genomic analysis reveals secondary glioblastoma after radiotherapy in a subset of recurrent medulloblastomas
Published in
Acta Neuropathologica, April 2018
DOI 10.1007/s00401-018-1845-8
Pubmed ID
Authors

Ji Hoon Phi, Ae Kyung Park, Semin Lee, Seung Ah Choi, In-Pyo Baek, Pora Kim, Eun-Hye Kim, Hee Chul Park, Byung Chul Kim, Jong Bhak, Sung-Hye Park, Ji Yeoun Lee, Kyu-Chang Wang, Dong-Seok Kim, Kyu Won Shim, Se Hoon Kim, Chae-Yong Kim, Seung-Ki Kim

Abstract

Despite great advances in understanding of molecular pathogenesis and achievement of a high cure rate in medulloblastoma, recurrent medulloblastomas are still dismal. Additionally, misidentification of secondary malignancies due to histological ambiguity leads to misdiagnosis and eventually to inappropriate treatment. Nevertheless, the genomic characteristics of recurrent medulloblastomas are poorly understood, largely due to a lack of matched primary and recurrent tumor tissues. We performed a genomic analysis of recurrent tumors from 17 pediatric medulloblastoma patients. Whole transcriptome sequencing revealed that a subset of recurrent tumors initially diagnosed as locally recurrent medulloblastomas are secondary glioblastomas after radiotherapy, showing high similarity to the non-G-CIMP proneural subtype of glioblastoma. Further analysis, including whole exome sequencing, revealed missense mutations or complex gene fusion events in PDGFRA with augmented expression in the secondary glioblastomas after radiotherapy, implicating PDGFRA as a putative driver in the development of secondary glioblastomas after treatment exposure. This result provides insight into the possible application of PDGFRA-targeted therapy in these second malignancies. Furthermore, genomic alterations of TP53 including 17p loss or germline/somatic mutations were also found in most of the secondary glioblastomas after radiotherapy, indicating a crucial role of TP53 alteration in the process. On the other hand, analysis of recurrent medulloblastomas revealed that the most prevalent alterations are the loss of 17p region including TP53 and gain of 7q region containing EZH2 which already exist in primary tumors. The 7q gain events are frequently accompanied by high expression levels of EZH2 in both primary and recurrent medulloblastomas, which provides a clue to a new therapeutic target to prevent recurrence. Considering the fact that it is often challenging to differentiate between recurrent medulloblastomas and secondary glioblastomas after radiotherapy, our findings have major clinical implications both for correct diagnosis and for potential therapeutic interventions in these devastating diseases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 19%
Student > Bachelor 6 14%
Other 5 12%
Researcher 4 9%
Student > Doctoral Student 3 7%
Other 8 19%
Unknown 9 21%
Readers by discipline Count As %
Medicine and Dentistry 17 40%
Biochemistry, Genetics and Molecular Biology 5 12%
Neuroscience 4 9%
Computer Science 2 5%
Agricultural and Biological Sciences 2 5%
Other 3 7%
Unknown 10 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 02 July 2019.
All research outputs
#2,237,529
of 23,041,514 outputs
Outputs from Acta Neuropathologica
#537
of 2,381 outputs
Outputs of similar age
#50,259
of 329,169 outputs
Outputs of similar age from Acta Neuropathologica
#12
of 41 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,381 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 77% 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 329,169 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 84% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.