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1.
Neuro Oncol ; 22(8): 1190-1202, 2020 08 17.
Article in English | MEDLINE | ID: mdl-32025728

ABSTRACT

BACKGROUND: Considering that pediatric high-grade gliomas (HGGs) are biologically distinct from their adult counterparts, the objective of this study was to define the landscape of HGGs in adolescents and young adults (AYAs). METHODS: We performed a multicentric retrospective study of 112 AYAs from adult and pediatric Ile-de-France neurosurgical units, treated between 1998 and 2013 to analyze their clinicoradiological and histomolecular profiles. The inclusion criteria were age between 15 and 25 years, histopathological HGG diagnosis, available clinical data, and preoperative and follow-up MRI. MRI and tumoral samples were centrally reviewed. Immunohistochemistry and complementary molecular techniques such as targeted/next-generation sequencing, whole exome sequencing, and DNA-methylation analyses were performed to achieve an integrated diagnosis according to the 2016 World Health Organization (WHO) classification. RESULTS: Based on 80 documented AYA patients, HGGs constitute heterogeneous clinicopathological and molecular groups, with a predominant representation of pediatric subtypes (histone H3-mutants, 40%) but also adult subtypes (isocitrate dehydrogenase [IDH] mutants, 28%) characterized by the rarity of oligodendrogliomas, IDH mutants, and 1p/19q codeletion and the relative high frequency of "rare adult IDH mutations" (20%). H3G34-mutants (14%) represent the most specific subgroup in AYAs. In the H3K27-mutant subgroup, non-brainstem diffuse midline gliomas are more frequent (66.7%) than diffuse intrinsic pontine gliomas (23.8%), contrary to what is observed in children. We found that WHO grade has no prognostic value, but molecular subgrouping has major prognostic importance. CONCLUSIONS: HGGs in AYAs could benefit from a specific classification, driven by molecular subtyping rather than age group. Collaborative efforts are needed from pediatric and adult neuro-oncology teams to improve the management of HGGs in AYAs.


Subject(s)
Brain Neoplasms , Glioma , Adolescent , Adult , Age Factors , Brain Neoplasms/genetics , Brain Neoplasms/pathology , Female , Glioma/enzymology , Glioma/genetics , Glioma/pathology , Humans , Isocitrate Dehydrogenase/genetics , Male , Mutation , Neoplasm Grading , Oligodendroglioma/enzymology , Oligodendroglioma/genetics , Oligodendroglioma/pathology , Retrospective Studies , Young Adult
2.
Clin Nucl Med ; 44(4): e315-e317, 2019 Apr.
Article in English | MEDLINE | ID: mdl-30762822

ABSTRACT

A 63-year-old woman was referred to our PET/MRI platform to evaluate the possible relapse of a meningeal metastasis, complicating an invasive ductal carcinoma of the left breast. This metastasis was diagnosed on a left hemiparesis and treated by surgery and radiation therapy. One year later, the same symptoms led to another brain MRI examination that found a contrast-enhanced lesion in the operating site. We decided to perform a F-DOPA PET/MRI to document this lesion, which confirmed the diagnosis of a probable relapse and revealed a focal uptake on the bone flap.


Subject(s)
Dihydroxyphenylalanine , Fluorine Radioisotopes , Magnetic Resonance Imaging , Meningeal Neoplasms/diagnostic imaging , Meningeal Neoplasms/secondary , Multimodal Imaging , Positron-Emission Tomography , Breast Neoplasms/pathology , Female , Humans , Middle Aged , Recurrence , Skull/diagnostic imaging , Skull/metabolism
3.
Neuron ; 76(5): 998-1009, 2012 Dec 06.
Article in English | MEDLINE | ID: mdl-23217747

ABSTRACT

The division of human learning systems into reward and punishment opponent modules is still a debated issue. While the implication of ventral prefrontostriatal circuits in reward-based learning is well established, the neural underpinnings of punishment-based learning remain unclear. To elucidate the causal implication of brain regions that were related to punishment learning in a previous functional neuroimaging study, we tested the effects of brain damage on behavioral performance, using the same task contrasting monetary gains and losses. Cortical and subcortical candidate regions, the anterior insula and dorsal striatum, were assessed in patients presenting brain tumor and Huntington disease, respectively. Both groups exhibited selective impairment of punishment-based learning. Computational modeling suggested complementary roles for these structures: the anterior insula might be involved in learning the negative value of loss-predicting cues, whereas the dorsal striatum might be involved in choosing between those cues so as to avoid the worst.


Subject(s)
Avoidance Learning/physiology , Brain Mapping , Cerebral Cortex/physiology , Corpus Striatum/physiology , Punishment , Adult , Atrophy/pathology , Brain Neoplasms/pathology , Brain Neoplasms/physiopathology , Brain Neoplasms/psychology , Cerebral Cortex/blood supply , Corpus Striatum/blood supply , Female , Humans , Huntington Disease/pathology , Huntington Disease/physiopathology , Huntington Disease/psychology , Image Processing, Computer-Assisted , Magnetic Resonance Imaging , Male , Middle Aged , Oxygen
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