Evidence map›Paper›PMID 29487696›Full record

ArticleOncotarget2018

The evolutionary pattern of mutations in glioblastoma reveals therapy-mediated selection.

Andrea M Muscat, Nicholas C Wong, Katharine J Drummond, Elizabeth M Algar, Mustafa Khasraw, Roel Verhaak, Kathryn Field, Mark A Rosenthal, David M Ashley

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 36 citations in OpenAlex.

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  14. DNA CpG methylation in sequential glioblastoma specimens.Journal of cancer research and clinical oncology · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Andrea M MuscatSchool of Medicine, Deakin University, Geelong, Victoria, Australia.
Nicholas C WongDepartment of Pediatrics, The University of Melbourne, Parkville, Victoria, Australia.
Katharine J DrummondDepartment of Neurosurgery, The Royal Melbourne Hospital, Parkville, Victoria, Australia.
Elizabeth M AlgarCenter for Cancer Research, Hudson Institute of Medical Research, Clayton, Victoria, Australia.
Mustafa KhasrawSchool of Medicine, Deakin University, Geelong, Victoria, Australia.
Roel VerhaakThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA.
Kathryn FieldDepartment of Neurosurgery, The Royal Melbourne Hospital, Parkville, Victoria, Australia.
Mark A RosenthalDepartment of Medical Oncology, Peter MacCallum Cancer Center, Melbourne, Victoria, Australia.
David M AshleySchool of Medicine, Deakin University, Geelong, Victoria, Australia.
Deakin University · AUMonash University · AUThe Royal Melbourne Hospital · AUJackson Laboratory · USPeter MacCallum Cancer Centre · AUUniversity of Sydney · AU

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI William Carl Skarnes · 1985 to 2026
$61.9M
NCI NIH HHS P30 CA034196
6 · The paper itself

Abstract

Glioblastoma presents as a heterogeneous disease with poor prognosis despite the use of multimodal therapy. Analysis of genomic DNA changes between initial diagnosis and recurrence in response to standard treatment protocols would enhance understanding of disease progression and better inform new treatment strategies. A cohort of 21 patients with primary glioblastoma were examined between diagnosis and first recurrence. This study presented a rare opportunity to characterize molecular alterations in tumors observed in three patients who received no therapeutic intervention, other than surgery, offering a unique control. We focused this study by comparing the dynamic mutation profiles between the primary tumors and their matched recurrent counterparts. Molecular profiling of tumors was performed using multiplexed targeted deep sequencing of 409 well characterized cancer-associated genes, achieving a mean read depth of 1272 x. Three levels of evidence suggested an evolutionary pattern consistent with a response to therapy-mediated selection pressures exists in treated patients: 1) variant burden was reduced in recurrent tumors, 2) neutral evolutionary dynamics apparent in untreated tumors shifted toward a non-neutral mode of evolution in treated patients at recurrence, and 3) the recurrent tumor of one patient displayed an increased mutation rate attributable to a temozolomide-associated hypermutator phenotype. Our observations suggest that current treatment modalities are likely to fail in achieving long term remission with the majority of relapse samples containing distinct mutations when compared to primary diagnostic samples.

Indexed as

glioblastomamutation profilingneutral evolutionselection pressuretumor heterogeneity

Identifiers

PMID29487696
PMCPMC5814263
OpenAlexW2778910463

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.