Morphological MRI-based features provide pretreatment survival prediction in glioblastoma.

OBJECTIVES: We wished to determine whether tumor morphology descriptors obtained from pretreatment magnetic resonance images and clinical variables could predict survival for glioblastoma patients. METHODS: A cohort of 404 glioblastoma patients (311 discoveries and 93 validations) was used in the study. Pretreatment volumetric postcontrast T1-weighted magnetic resonance images were segmented to obtain the relevant morphological measures. Kaplan-Meier, Cox proportional hazards, correlations, and Harrell's concordance indexes (c-indexes) were used for the statistical analysis. RESULTS: A linear prognostic model based on the outstanding variables (age, contrast-enhanced (CE) rim width, and surface regularity) identified a group of patients with significantly better survival (p < 0.001, HR = 2.57) with high accuracy (discovery c-index = 0.74; validation c-index = 0.77). A similar model applied to totally resected patients was also able to predict survival (p < 0.001, HR = 3.43) with high predictive value (discovery c-index = 0.81; validation c-index = 0.92). Biopsied patients with better survival were well identified (p < 0.001, HR = 7.25) by a model including age and CE volume (c-index = 0.87). CONCLUSIONS: Simple linear models based on small sets of meaningful MRI-based pretreatment morphological features and age predicted survival of glioblastoma patients to a high degree of accuracy. The partition of the population using the extent of resection improved the prognostic value of those measures. KEY POINTS: • A combination of two MRI-based morphological features (CE rim width and surface regularity) and patients' age outperformed previous prognosis scores for glioblastoma. • Prognosis models for homogeneous surgical procedure groups led to even more accurate survival prediction based on Kaplan-Meier analysis and concordance indexes.

Correction to: Morphological MRI-based features provide pretreatment survival prediction in glioblastoma.

The original version of this article, published on 15 October 2018, unfortunately contained a mistake. The following correction has therefore been made in the original: The name of Mariano Amo-Salas and the affiliation of Ismael Herruzo were presented incorrectly.

Molecular classification defines 4 prognostically distinct glioma groups irrespective of diagnosis and grade.

According to World Health Organization criteria, diffuse gliomas are divided into several histological subtypes, including astrocytomas, oligodendrogliomas, and oligoastrocytomas, and 4 malignancy grades (I-IV). Molecular alterations, such as the isocitrate dehydrogenase gene (IDH) mutation or 1p/19q loss, are found in these tumors but are not included in the current classification system. Recently, mutation of α thalassemia/mental retardation syndrome X-linked (ATRX) gene and its loss of expression have been reported in infiltrating gliomas. We evaluated ATRX protein expression in 272 gliomas and its association with molecular and clinical features. Loss of ATRX expression was more common in tumors with an astrocytic component (astrocytomas II/III, 46.4%; oligoastrocytomas, 47.5%) but was uncommon in oligodendrogliomas (7.3%) and glioblastomas (0.9%). In astrocytic tumors, loss of ATRX expression was significantly associated with longer overall survival. Remarkably, on the basis of IDH mutation, 1p/19q codeletion, and ATRX expression, our study defined 4 molecularly and prognostically different groups of gliomas, showing the relevance of ATRX expression as a new marker for refining the molecular classification of gliomas and for distinguishing clinically distinct prognostic subgroups of patients.

Codeletion of 1p and 19q determines distinct gene methylation and expression profiles in IDH-mutated oligodendroglial tumors.

Oligodendroglial tumors (OTs) are primary brain tumors that show variable clinical and biological behavior. The 1p/19q codeletion is frequent in these tumors, indicating a better prognosis and/or treatment response. Recently, the prognostically favorable CpG island methylator phenotype (CIMP) in gliomas (G-CIMP+) was associated with mutations in the isocitrate dehydrogenase 1 and isocitrate dehydrogenase 2 (IDH) genes, as opposed to G-CIMP- tumors, highlighting the relevance of epigenetic mechanisms. We performed a whole-genome methylation study in 46 OTs, and a gene expression study of 25 tumors, correlating the methylation and transcriptomic profiles with molecular and clinical variables. Here, we identified two different epigenetic patterns within the previously described main G-CIMP+ profile. Both IDH mutation-associated methylation profiles featured one group of OTs with 1p/19q loss (CD-CIMP+), most of which were pure oligodendrogliomas, and a second group with intact 1p/19q and frequent TP53 mutation (CIMP+), most of which exhibited a mixed histopathology. A third group of OTs lacking the CIMP profile (CIMP-), and with a wild-type IDH and an intact 1p/19q, similar to the G-CIMP- subgroup, was also observed. The three CIMP groups presented a significantly better (CD-CIMP+), intermediate (CIMP+) or worse (CIMP-) prognosis. Furthermore, transcriptomic analyses revealed CIMP-specific gene expression signatures, indicating the impact of genetic status (IDH mutation, 1p/19q codeletion, TP53 mutation) on gene expression, and pointing to candidate biomarkers. Therefore, the CIMP profiles contributed to the identification of subgroups of OTs characterized by different prognoses, histopathologies, molecular features and gene expression signatures, which may help in the classification of OTs.

Microarray-based comparative genomic hybridization (array-CGH) as a useful tool for identifying genes involved in Glioblastoma (GB).

Alterations in the genome that lead to changes in DNA sequence copy number are a characteristic of Glioblastomas (GBs). Microarray-based comparative genomic hybridization (array-CGH) is a high-throughput technology that allows the hybridization of genomic DNA onto conventional cDNA microarrays, normally used in expression profiling, to analyze genomic copy number imbalances. In this way, thousands of genes can be reviewed in a high resolution analysis to define amplicons and to identify? candidate genes showing recurrent genomic copy number changes in GB tumors.

Novel genomic alterations and mechanisms associated with tumor progression in oligodendroglioma and mixed oligoastrocytoma.

Combined 1p/19q deletions are very prevalent in oligodendrogliomas (OGs) and, to a lesser extent, in oligoastrocytomas (OAs). These losses are associated with responsiveness to therapy. Using array-based comparative genomic hybridization, we screened for recurrent genomic alterations in OG and oligoastrocytoma subtypes on chromosome 19. Concomitant 1p/19q loss was detected in most of the tumors with allelic loss, but array-based comparative genomic hybridization revealed some tumors to have unrelated 1p/19q arm losses, suggesting alternative mechanisms of loss to that related to the reported t(1;19) translocation. Analyses of 1p/19q loss by fluorescence in situ hybridization and loss of heterozygosity assays and correlations of genomic data with the Ki-67 proliferation marker were also performed. Four 1q (or 19p) and 2 1p (or 19q) fluorescence in situ hybridization probe signals together with homozygosity of the 1p/19q microsatellites suggested a hypothetical mechanism of genome duplication consecutive to the loss of the derivative chromosome der(1p;19q) from the t(1;19)(1q;19p) translocation. This genome duplication was frequent in high-grade OGs and was strongly correlated with Ki-67 expression; thus, it could be related to tumor progression. Finally, in addition to the frequent 1p/19q loss, we report a novel 17q amplified region in OGs with BIRC5 as one of the possible candidate target genes of the amplicon.

Worse outcome in primary glioblastoma multiforme with concurrent epidermal growth factor receptor and p53 alteration.

Primary glioblastoma multiforme (GBM), in contrast with secondary GBM, has been associated with the presence of EGFR amplification and absence of p53 mutation. In this study, we analyzed relevant molecular and clinical variables in 194 primary GBMs and tested them for survival analysis. Although most of the tumors showed a mutually exclusive pattern, concurrent alterations of EGFR and p53 were detected. Survival analysis of CDK4 amplification revealed a highly significant association with a worse clinical outcome (P = .01), whereas MDM2, CDK6, PTEN, and p21 were not associated with patient survival. Multivariate analysis including the significant clinical and molecular variables revealed CDK4 amplification, age, and radiotherapy to be markers with independent prognostic value. In addition, the primary GBM tumors showing simultaneous EGFR and p53 alterations were significantly associated with worse survival (P < .01). These results highlight the prognostic value of CDK4 amplification and of simultaneous EGFR-p53 alterations in the clinical outcome of patients with primary GBM.

Identification of novel candidate target genes in amplicons of Glioblastoma multiforme tumors detected by expression and CGH microarray profiling.

BACKGROUND: Conventional cytogenetic and comparative genomic hybridization (CGH) studies in brain malignancies have shown that glioblastoma multiforme (GBM) is characterized by complex structural and numerical alterations. However, the limited resolution of these techniques has precluded the precise identification of detailed specific gene copy number alterations. RESULTS: We performed a genome-wide survey of gene copy number changes in 20 primary GBMs by CGH on cDNA microarrays. A novel amplicon at 4p15, and previously uncharacterized amplicons at 13q32-34 and 1q32 were detected and are analyzed here. These amplicons contained amplified genes not previously reported. Other amplified regions containing well-known oncogenes in GBMs were also detected at 7p12 (EGFR), 7q21 (CDK6), 4q12 (PDGFRA), and 12q13-15 (MDM2 and CDK4). In order to identify the putative target genes of the amplifications, and to determine the changes in gene expression levels associated with copy number change events, we carried out parallel gene expression profiling analyses using the same cDNA microarrays. We detected overexpression of the novel amplified genes SLA/LP and STIM2 (4p15), and TNFSF13B and COL4A2 (13q32-34). Some of the candidate target genes of amplification (EGFR, CDK6, MDM2, CDK4, and TNFSF13B) were tested in an independent set of 111 primary GBMs by using FISH and immunohistological assays. The novel candidate 13q-amplification target TNFSF13B was amplified in 8% of the tumors, and showed protein expression in 20% of the GBMs. CONCLUSION: This high-resolution analysis allowed us to propose novel candidate target genes such as STIM2 at 4p15, and TNFSF13B or COL4A2 at 13q32-34 that could potentially contribute to the pathogenesis of these tumors and which would require futher investigations. We showed that overexpression of the amplified genes could be attributable to gene dosage and speculate that deregulation of those genes could be important in the development and progression of GBM. Our findings highlight the important influence in GBM of signaling pathways such as the PI3K/AKT, consistent with the invasive features of this tumor.