IDH mutation and 1p19q codeletion distinguish two radiological patterns of diffuse low-grade gliomas

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


2019 ◽  
Vol 21 (Supplement_3) ◽  
pp. iii31-iii32
Author(s):  
A Darlix ◽  
H Duffau ◽  
V Rigau ◽  
C Gozé

Abstract BACKGROUND Diffuse low-grade gliomas (DLGG) are characterized by a continuous growth and an unavoidable anaplastic transformation. IDH mutation and 1p19q codeletion have been integrated to the 2016 WHO classification to define the oligodendroglioma entity. Whenever feasible, neurosurgical resection is the first treatment option. At recurrence, a second surgical resection is proposed in selected cases. The consistency of molecular patterns (IDH mutation, 1p19q codeletion) at recurrence has been poorly studied in DLGG. MATERIAL AND METHODS We conducted a retrospective study on consecutive DLGG patients treated at our institution with repeated surgery (2006–2017). Clinical and biological data were collected for both the initial and subsequent surgery. Additional immunohistochemistry (including tumor morphology, ATRX and p53) and genetic analyses (TERT promoter mutation, CIC mutation, CGHa) were also performed on tumors with joint loss of IDH mutation and of 1p19q codeletion at recurrence. RESULTS A total of 71 patients were identified. Analyses were carried out on 56 patients (molecular data missing: n=15). Nine patients (16.1%) presented with a loss of their IDH mutation at second surgery. Five of them (8.9%) had an additional loss of their 1p19q codeletion. These five cases (3 men, median age 36.6 years) were all treated with surgery as the first oncological treatment. The first surgery revealed in all cases tumors with morphological oligodendroglial features, IDH mutation and 1p19q codeletion. Further molecular analysis strengthened the diagnosis of oligodendroglioma (TERT promoter and CIC mutations, no ATRX loss, no expression of p53). Four patients were followed-up after the first surgery; one patient received Temozolomide 14 months later due to FLAIR tumor volume growth. Because of the regrowth of the residual FLAIR tumor volume, a second surgery was performed in all patients, after a median time of 38.9 months. The morphological oligodendroglial features were lost, and the genetic analyses revealed in all cases no IDH mutation, no 1p19q codeletion, no ATRX loss and no expression of p53. No evidence of anaplasia was found histologically or by CGHa analysis in these recurrent tumors. CONCLUSION We describe five DLGG patients with a shared histo-molecular evolution characterized by the loss of the initial IDH mutation and of oligodendroglial features at second surgery. While rare, this possible evolution must be acknowledged as it can impact the subsequent therapeutic strategy. This observation is the first of a loss of founder alterations in DLGG genesis (i.e. IDH mutation and 1p19q codeletion); the involved mechanism likely differs from the previously described oligoclonal selection caused by spontaneous tumor genetic drift and/or pressure of chemotherapy, and could be linked with the Darwinian selection of a subpopulation of tumor cells after the first surgery.


2017 ◽  
Vol 28 ◽  
pp. v110
Author(s):  
E. Franceschi ◽  
A. Mura ◽  
A. Mandrioli ◽  
S. Minichillo ◽  
A. Tosoni ◽  
...  

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

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 2017-2017 ◽  
Author(s):  
Enrico Franceschi ◽  
Dario De Biase ◽  
Alexandro Paccapelo ◽  
Antonella Mura ◽  
Alicia Tosoni ◽  
...  

2017 Background: Molecular characterization of low grade gliomas (LGG) is essential for diagnosis and treatment of these diseases. LGG patients (pts) with IDH mutation and 1p19q codeletion (codel) are characterized by a median OS (mOS) longer than 10 years. Thus, the role of treatments and side effects should be carefully evaluated. Methods: We evaluated LGG pts from our data warehouse (n=679 pts) who received surgery and had sufficient tissue to assess biomarkers characterization. Pts with gliomatosis were excluded. IDH1/2 assessment was performed on formalin-fixed paraffin-embedded samples by qPCR. In wild type cases we performed NGS. 1p/19 codel analysis was performed by FISH. Results: 93 consecutive LGG with IDH mutation and codel were included. The median follow up (FU) was 96.1 months. Mean age was 40 yrs (range: 25-66); 8 pts (8.6%) underwent biopsy, 61 pts (65.6%) partial resection, 24 pts (25.8%) complete resection. 84 pts (90.3%) were considered high risk using RTOG criteria (>40 years and/or incomplete resection). Fifty pts (53.7%) received only FU, 17 pts (18.3%) received chemotherapy (CT), 18 pts (19.4%) received radiotherapy (RT), 8 pts (8.6%) received RT + CT. Median PFS (mPFS) was 59.6 months (95%CI: 41.8-77.4) and was significantly longer in pts who received postsurgical treatments (79.5 months, 95%CI: 66.4-92.7) than pts who received FU (46.3 months, 95%CI: 36.0-56.5; P=0.001). mPFS was 50.8 months (95%CI: 17.4-84.3), 103.6 months (95%CI: 11.7-195.6) and 120.2 months (95%CI: 40.5-199.8) in pts treated with CT alone, RT alone and RT + CT, respectively. Multivariate analysis showed that receiving a post-surgical treatment (P<0.001), and the extent of resection (P=0.043) were significantly correlated with PFS. Conclusions: Our study evaluated the role of treatments in LGG pts assessed with NGS and FISH. Post-surgical treatments are crucial to extend PFS in pts with IDH mutation and codel. The choice of post-surgical treatments seems to have a role, being CT alone less effective than RT and RT+CT. Longer FU is needed to provide information about OS.


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.


2021 ◽  
Vol 12 ◽  
Author(s):  
Zhenxing Huang ◽  
Gen Li ◽  
Zhenye Li ◽  
Shengjun Sun ◽  
Yazhuo Zhang ◽  
...  

Neuroplasticity may preserve neurologic function in insular glioma, thereby improving prognosis following resection. However, the anatomic and molecular bases of this phenomenon are not known. To address this gap in knowledge, the present study investigated contralesional compensation in different molecular pathologic subtypes of insular glioma by high-resolution three-dimensional T1-weighted structural magnetic resonance imaging. A total of 52 patients with insular glioma were examined. We compared the gray matter volume (GMV) of the contralesional insula according to histological grade [low-grade glioma (LGG) and high-grade glioma (HGG)] and molecular pathology status [isocitrate dehydrogenase (IDH) mutation, telomerase reverse-transcriptase (TERT) promoter mutation, and 1p19q codeletion] by voxel-based morphometry (VBM). A cluster of 320 voxels in contralesional insula with higher GMV was observed in glioma with IDH mutation as compared to IDH wild-type tumors by region of interest-based VBM analysis (family-wise error-corrected at p &lt; 0.05). The GMV of the entire contralesional insula was also larger in insular glioma patients with IDH mutation than in patients with wild-type IDH. However, there was no association between histological grade, TERT promoter mutation, or 1p19q codeletion and GMV in the contralesional insula. Thus, IDH mutation is associated with greater structural compensation in insular glioma. These findings may be useful for predicting neurocognitive and functional outcomes in patients undergoing resection surgery.


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

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