| Title |
Contrast enhancement predicting survival in integrated molecular subtypes of diffuse glioma: an observational cohort study
|
|---|---|
| Published in |
Journal of Neuro-Oncology, April 2018
|
| DOI | 10.1007/s11060-018-2872-y |
| Pubmed ID | |
| Authors |
Johann-Martin Hempel, Cornelia Brendle, Benjamin Bender, Georg Bier, Marco Skardelly, Irina Gepfner-Tuma, Franziska Eckert, Ulrike Ernemann, Jens Schittenhelm |
| Abstract |
To assess the predictive value of magnetic resonance imaging (MRI) gadolinium enhancement as a prognostic factor in the 2016 World Health Organization Classification of Tumors of the Central Nervous System integrated glioma groups. Four-hundred fifty patients with histopathologically confirmed glioma were retrospectively assessed between 07/1997 and 06/2014 using gadolinium enhancement, survival, and relevant prognostic molecular data [isocitrate dehydrogenase (IDH); alpha-thalassemia/mental retardation syndrome X-linked (ATRX); chromosome 1p/19q loss of heterozygosity; and O6-methylguanine DNA methyltransferase (MGMT)]. The Kaplan-Meier method was used to assess univariate survival data. A multivariate Cox proportional hazards model was performed on significant results from the univariate analysis. There were significant differences in survival between patient age (p < 0.0001), WHO glioma grades (p < 0.0001), and integrated molecular profiles (p < 0.0001). Patients with IDH1/2 mutation, loss of ATRX expression, and methylated MGMT promoter showed significantly better survival than those with the IDHwild-type (p < 0.0001), retained ATRX expression (p < 0.0001), and unmethylated MGMT promoter (p = 0.019). Survival was significantly better in patients without gadolinium enhancement (p = 0.009) who were in the IDHwild-type glioma and glioma with retained ATRX expression groups (p = 0.018 and 0.030, respectively). In univariate analysis, the presence of gadolinium enhancement on preoperative MRI scans is an unfavorable factor for survival. Regarding the molecular subgroups, gadolinium enhancement is an unfavorable prognostic factor in gliomas with IDHwild-type and those with ATRX retention. However, in multivariate analysis only patient age, IDH1/2 mutation status, MGMT promoter methylation status, and WHO grade IV are relevant for predicting survival. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 14% |
| Professor > Associate Professor | 2 | 10% |
| Other | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Other | 5 | 24% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 24% |
| Neuroscience | 3 | 14% |
| Agricultural and Biological Sciences | 2 | 10% |
| Unspecified | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 7 | 33% |
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 21 April 2018.
All research outputs
#18,603,172
of 23,043,346 outputs
Outputs from Journal of Neuro-Oncology
#2,264
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Outputs of similar age
#253,819
of 327,033 outputs
Outputs of similar age from Journal of Neuro-Oncology
#54
of 93 outputs
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