scholarly journals Editorial commentary on "Analysis of IDH mutation, 1p19q deletion, and PTEN loss delineates prognosis in clinical low-grade gliomas"

2014 ◽  
Vol 16 (7) ◽  
pp. 891-892
Author(s):  
R. B. Jenkins
2020 ◽  
Vol 10 (7) ◽  
pp. 463 ◽  
Author(s):  
Muhaddisa Barat Ali ◽  
Irene Yu-Hua Gu ◽  
Mitchel S. Berger ◽  
Johan Pallud ◽  
Derek Southwell ◽  
...  

Brain tumors, such as low grade gliomas (LGG), are molecularly classified which require the surgical collection of tissue samples. The pre-surgical or non-operative identification of LGG molecular type could improve patient counseling and treatment decisions. However, radiographic approaches to LGG molecular classification are currently lacking, as clinicians are unable to reliably predict LGG molecular type using magnetic resonance imaging (MRI) studies. Machine learning approaches may improve the prediction of LGG molecular classification through MRI, however, the development of these techniques requires large annotated data sets. Merging clinical data from different hospitals to increase case numbers is needed, but the use of different scanners and settings can affect the results and simply combining them into a large dataset often have a significant negative impact on performance. This calls for efficient domain adaption methods. Despite some previous studies on domain adaptations, mapping MR images from different datasets to a common domain without affecting subtitle molecular-biomarker information has not been reported yet. In this paper, we propose an effective domain adaptation method based on Cycle Generative Adversarial Network (CycleGAN). The dataset is further enlarged by augmenting more MRIs using another GAN approach. Further, to tackle the issue of brain tumor segmentation that requires time and anatomical expertise to put exact boundary around the tumor, we have used a tight bounding box as a strategy. Finally, an efficient deep feature learning method, multi-stream convolutional autoencoder (CAE) and feature fusion, is proposed for the prediction of molecular subtypes (1p/19q-codeletion and IDH mutation). The experiments were conducted on a total of 161 patients consisting of FLAIR and T1 weighted with contrast enhanced (T1ce) MRIs from two different institutions in the USA and France. The proposed scheme is shown to achieve the test accuracy of 74 . 81 % on 1p/19q codeletion and 81 . 19 % on IDH mutation, with marked improvement over the results obtained without domain mapping. This approach is also shown to have comparable performance to several state-of-the-art methods.


Author(s):  
Jared T Ahrendsen ◽  
Claire Sinai ◽  
David M Meredith ◽  
Seth W Malinowski ◽  
Tabitha M Cooney ◽  
...  

Abstract Pediatric low-grade gliomas (PLGGs) have excellent long-term survival, but death can occasionally occur. We reviewed all PLGG-related deaths between 1975 and 2019 at our institution: 48 patients were identified; clinical data and histology were reviewed; targeted exome sequencing was performed on available material. The median age at diagnosis was 5.2 years (0.4–23.4 years), at death was 13.0 years (1.9–43.2 years), and the overall survival was 7.2 years (0.0–33.3 years). Tumors were located throughout CNS, but predominantly in the diencephalon. Diagnoses included low-grade glioma, not otherwise specified (n = 25), pilocytic astrocytoma (n = 15), diffuse astrocytoma (n = 3), ganglioglioma (n = 3), and pilomyxoid astrocytoma (n = 2). Recurrence occurred in 42/48 cases, whereas progression occurred in 10. The cause of death was direct tumor involvement in 31/48 cases. Recurrent drivers included KIAA1549-BRAF (n = 13), BRAF(V600E) (n = 3), NF1 mutation (n = 3), EGFR mutation (n = 3), and FGFR1-TACC1 fusion (n = 2). Single cases were identified with IDH1(R132H), FGFR1(K656E), FGFR1 ITD, FGFR3 gain, PDGFRA amplification, and mismatch repair alteration. CDKN2A/B, CDKN2C, and PTEN loss was recurrent. Patients who received only chemotherapy had worse survival compared with patients who received radiation and chemotherapy. This study demonstrates that PLGG that led to death have diverse molecular characteristics. Location and co-occurring molecular alterations with malignant potential can predict poor outcomes.


2017 ◽  
Vol 19 (suppl_3) ◽  
pp. iii89-iii90
Author(s):  
R. Nejad ◽  
H. Sim ◽  
K. Aldape ◽  
W. Mason ◽  
M. Bernstein ◽  
...  

2017 ◽  
Vol 133 (1) ◽  
pp. 37-45 ◽  
Author(s):  
Amélie Darlix ◽  
Jérémy Deverdun ◽  
Nicolas Menjot de Champfleur ◽  
Florence Castan ◽  
Sonia Zouaoui ◽  
...  

Author(s):  
Carlos Eduardo Correia ◽  
Yoshie Umemura ◽  
Jessica R Flynn ◽  
Anne S Reiner ◽  
Edward K Avila

Abstract Purpose Many low-grade gliomas (LGG) harbor isocitrate dehydrogenase (IDH) mutations. Although IDH mutation is known to be epileptogenic, the rate of refractory seizures in LGG with IDH mutation vs wild-type had not been previously compared. We therefore compared seizure pharmacoresistance in IDH-mutated and wild-type LGGs. Methods Single-institution retrospective study of patients with histologic proven LGG, known IDH mutation status, seizures, and ≥ 2 neurology clinic encounters. Seizure history was followed until histological high-grade transformation or death. Seizures requiring ≥ 2 changes in anti-epileptic drugs were considered pharmacoresistant. Incidence rates of pharmacoresistant seizures were estimated using competing risks methodology. Results Of 135 patients, 25 patients (19%) had LGGs classified as IDH wild-type. Of those with IDH mutation, 104 (94.5%) were IDH1 R132H; only six were IDH2 R172K. 120 patients (89%) had tumor resection and 14 (10%) had biopsy. Initial post-surgical management included observation (64%), concurrent chemoradiation (23%), chemotherapy alone (9%), and radiotherapy alone (4%). Seizures became pharmacoresistant in 24 IDH-mutated patients (22%) and in 3 IDH wild-type patients (12%). The 4-year cumulative incidence of intractable seizures was 17.6% (95% CI: 10.6%-25.9%) in IDH-mutated and 11% (95% CI: 1.3%-32.6%) in IDH wild-type LGG (Gray’s P-value= 0.26). Conclusions 22% of the IDH-mutated patients developed pharmacoresistant seizures, compared to 12% of the IDH wild-type tumors.The likelihood of developing pharmacoresistant seizures in patients with LGG-related epilepsy is independent to IDH mutation status, however, IDH-mutated tumors were approximately twice as likely to experience LGG-related pharmacoresistant seizures.


2014 ◽  
Vol 16 (7) ◽  
pp. 914-923 ◽  
Author(s):  
N. Sabha ◽  
C. B. Knobbe ◽  
M. Maganti ◽  
S. Al Omar ◽  
M. Bernstein ◽  
...  

2013 ◽  
Vol 113 (2) ◽  
pp. 277-284 ◽  
Author(s):  
Hairui Sun ◽  
Lianhu Yin ◽  
Showwei Li ◽  
Song Han ◽  
Guangrong Song ◽  
...  

2017 ◽  
Vol 135 (2) ◽  
pp. 273-284 ◽  
Author(s):  
Olatz Etxaniz ◽  
Cristina Carrato ◽  
Itziar de Aguirre ◽  
Cristina Queralt ◽  
Ana Muñoz ◽  
...  

2017 ◽  
Vol 19 (suppl_3) ◽  
pp. iii91-iii91
Author(s):  
Y. Umemura ◽  
A. S. Reiner

2019 ◽  
Author(s):  
Zeyang Li ◽  
Shiwen Yuan ◽  
Hong Chen ◽  
Dongxiao Zhuang ◽  
Junfeng Lu ◽  
...  

Abstract BackgroundLow-grade gliomas that involves eloquent areas are difficult to be removed totally. Standard strategies for these young patients are radiotherapy and chemotherapy after maximum safe resection. Radiotherapy always brings cognitive impairments. We wonder whether temozolomide chemotherapy can postpone the intervene of radiotherapy to protect cognitive function.MethodsPatients underwent temozolomide chemotherapy (75mg/m2/day for 21 days per 28-day for 6 cycles) and were followed up by MRI and cognitive function evaluation. Primary endpoints are objective response rate (ORR), and secondary endpoints are intensity of response (IOR), duration of response (DOR), cognitive function results and the safety of chemotherapy.Results65 patients were recruited with a median follow-up of 39.6 months, and ORR was 37/65(56.92%). IDH mutant patients had better ORR than IDH wildtype patients (64.29% vs 11.11%, p=0.004), and IOR of IDH mutant tumors was more obvious (p=0.023). IDH-mutant group had longer DOR than IDH-wildtype group (median DOR, 52.4 vs 25.8 months; log-rank p=0.0007; HR, 4.269; 95%CI, 3.411 - 47.35), and 1p/19q codeletion group had a longer DOR than 1p/19q retain group (median DOR, 52.4 vs 37.5 months; log-rank p=0.049; HR, 2.369; 95%CI, 1.012 - 5.397). Cognitive function results showed improvement in cognitive function at early stage compared with radiotherapy.ConclusionIDH mutation was a predictive factor for better temozolomide response. Cognitive function evaluation proved that temozolomide chemotherapy could avoid cognitive impairments at early stage. We propose that young patients with IDH mutation can use upfront chemotherapy to postpone radiotherapy until progression to avoid potential cognitive impairments.


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