Dataset Information

OS5.7 First results of the randomized phase II TAVAREC trial on temozolomide with or without bevacizumab in 1p/19q intact 1st recurrence grade II and III glioma

ABSTRACT: Abstract Background: The role of bevacizumab in recurrent grade II and III gliomas has not been established. Similar to glioblastoma, uncontrolled studies have shown promising response rates but controlled studies are not available. We conducted a randomized phase II study, in which we investigated the addition of bevacizumab (BEV) to temozolomide (TMZ) in patients with tumors without 1p/19q co-deletion. Methods: Eligible were patients with a locally diagnosed grade II or III glioma without 1p/19q co-deletion, with a first and enhancing recurrence after initial radiotherapy. Prior chemotherapy (either TMZ or PCV regimen) was allowed provided patients were at least 6 months off treatment. Patients were treated with either TMZ day 1-5 200?mg/m2 for twelve cycles (arm A), or with the same TMZ regimen in combination with BEV 10?mg/kg every 2 weeks (arm B) until progression. Response was evaluated every three months using RANO criteria. Primary endpoint was the overall survival rate at 12 months (OS12). An A’Hern design was used, 144 patients would have to be randomized to reject the H0 hypothesis of 50% in favour of the H1 hypothesis of 65%. Analysis of MGMT status and IDH mutational status is part of the study design (trial nr: NCT01164189). Results: Between Feb 8, 2011 and July 31, 2015 155 patients were randomized. Baseline characteristics of both groups were similar. Median age was 44 years, 53% were initially diagnosed with a grade II tumor, and 27% of patients had received prior chemotherapy. In August 2016, OS data will be mature and the clinical outcome will be analyzed. Conclusion: At the EANO meeting mature OS results will be presented.

SUBMITTER: Idbaih A

PROVIDER: S-EPMC5782541 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Abstract BACKGROUND EORTC study 26091 showed that addition of bevacizumab (BEV) to temozolomide (TMZ) does not improve overall survival (OS) or progression-free survival (PFS) in recurrent grade II and III 1p/19q intact gliomas; regardless of isocitrate dehydrogenase (IDH) mutational status. This abstract reports the neurocognitive functioning (NCF) outcomes. METHODS NCF was evaluated before randomization and at every 12 weeks during treatment using Hopkins Verbal Learning Test (Free Recall, Delayed Recall, and Delayed Recognition), Trail Making Test (TMT A/B); and Controlled Oral Word Association Test (COWA). RESULTS 148/155 patients had at least one NCF assessment. Compliance was 91.5% at baseline and dropped to 61.9% at week 60. Primary analysis (at 5% significance level) compared NCF at the last disease assessment before or at week 60 in patients who had at least one NCF assessment after baseline. Patients in the temozolomide+bevacizumab arm did not differ from patients in the temozolomide only arm. Except for Delayed Recognition, all NCF outcomes were positively associated with WHO performance status. TMT A (p=0.03), TMT B (p=0.006) and COWA (p<0.0001) were significantly worse in patients receiving steroids at study entry. Furthermore, delayed recognition was worse in patients with larger tumors (>26.5 vs <=26.5 mm; p=0.04). Memory performance was poorer in patients with tumors in the left hemisphere (Free Recall; p=0.0002), Delayed Recall; p<0.0001, Delayed Recognition; p=0.004). Except for Free Recall and Delayed Recognition, all other baseline raw scores were associated with OS in univariate analyses. In a multivariate Cox regression model, TMT B and tumor size were identified as independent OS prognostic factors while baseline WHO performance status and steroids use were not included. CONCLUSION At the group level patients in the temozolomide+bevacizumab arm do not differ from patients with temozolomide only, individual patients’ verbal memory capacity might negatively be affected by tumor volume and tumor location.

Project description:Background: Chromosome 1p/19q codeletion is one of the most important genetic alterations for low grade gliomas (LGGs), and patients with 1p/19q codeletion have significantly prolonged survival compared to those without the codeletion. And the tumor immune microenvironment also plays a vital role in the tumor progression and prognosis. However, the effect of 1p/19q codeletion on the tumor immune microenvironment in LGGs is unclear. Methods: Immune cell infiltration of 281 LGGs from The Cancer Genome Atlas (TCGA) and 543 LGGs from the Chinese Glioma Genome Atlas (CGGA) were analyzed for immune cell infiltration through three bioinformatics tools: ESTIMATE algorithm, TIMER, and xCell. The infiltrating level of immune cells and expression of immune checkpoint genes were compared between different groups classified by 1p/19q codeletion and IDH (isocitrate dehydrogenase) mutation status. The differential biological processes and signaling pathways were evaluated through Gene Set Enrichment Analysis (GSEA). Correlations were analyzed using Spearman correlation. Results: 1p/19q codeletion was associated with immune-related biological processes in LGGs. The infiltrating level of multiple kinds of immune cells and expression of immune checkpoint genes were significantly lower in 1p/19q codeletion LGGs compared to 1p/19q non-codeletion cohorts. There are 127 immune-related genes on chromosome 1p or 19q, such as TGFB1, JAK1, and CSF1. The mRNA expression of these genes was positively correlated with their DNA copy number. These genes are distributed in multiple immune categories, such as chemokines/cytokines, TGF-β family members, and TNF family members, regulating immune cell infiltration and expression of the immune checkpoint genes in tumors. Conclusion: Our results indicated that 1p/19q codeletion status is closely associated with the immunosuppressive microenvironment in LGGs. LGGs with 1p/19q codeletion display less immune cell infiltration and lower expression of immune checkpoint genes than 1p/19q non-codeletion cases. Mechanistically, this may be, at least in part, due to the deletion of copy number of immune-related genes in LGGs with 1p/19q codeletion. Our findings may be relevant to investigate immune evasion in LGGs and contribute to the design of immunotherapeutic strategies for patients with LGGs.

Project description:Gliomas are among the most common types of central nervous system (CNS) tumors. A prompt diagnosis of the glioma subtype is crucial to estimate the prognosis and personalize the treatment strategy. The objective of this study was to develop a radiomics pipeline based on the clinical Magnetic Resonance Imaging (MRI) scans to noninvasively predict the glioma subtype, as defined based on the tumor grade, isocitrate dehydrogenase (IDH) mutation status, and 1p/19q codeletion status. A total of 212 patients from the public retrospective The Cancer Genome Atlas Low Grade Glioma (TCGA-LGG) and The Cancer Genome Atlas Glioblastoma Multiforme (TCGA-GBM) datasets were used for the experiments and analyses. Different settings in the radiomics pipeline were investigated to improve the classification, including the Z-score normalization, the feature extraction strategy, the image filter applied to the MRI images, the introduction of clinical information, ComBat harmonization, the classifier chain strategy, etc. Based on numerous experiments, we finally reached an optimal pipeline for classifying the glioma tumors. We then tested this final radiomics pipeline on the hold-out test data with 51 randomly sampled random seeds for reliable and robust conclusions. The results showed that, after tuning the radiomics pipeline, the mean AUC improved from 0.8935 (±0.0351) to 0.9319 (±0.0386), from 0.8676 (±0.0421) to 0.9283 (±0.0333), and from 0.6473 (±0.1074) to 0.8196 (±0.0702) in the test data for predicting the tumor grade, IDH mutation, and 1p/19q codeletion status, respectively. The mean accuracy for predicting the five glioma subtypes also improved from 0.5772 (±0.0816) to 0.6716 (±0.0655). Finally, we analyzed the characteristics of the radiomic features that best distinguished the glioma grade, the IDH mutation, and the 1p/19q codeletion status, respectively. Apart from the promising prediction of the glioma subtype, this study also provides a better understanding of the radiomics model development and interpretability. The results in this paper are replicable with our python codes publicly available in github.

Project description:BackgroundThe prediction of clinical behavior, response to therapy, and outcome of infiltrative glioma is challenging. On the basis of previous studies of tumor biology, we defined five glioma molecular groups with the use of three alterations: mutations in the TERT promoter, mutations in IDH, and codeletion of chromosome arms 1p and 19q (1p/19q codeletion). We tested the hypothesis that within groups based on these features, tumors would have similar clinical variables, acquired somatic alterations, and germline variants.MethodsWe scored tumors as negative or positive for each of these markers in 1087 gliomas and compared acquired alterations and patient characteristics among the five primary molecular groups. Using 11,590 controls, we assessed associations between these groups and known glioma germline variants.ResultsAmong 615 grade II or III gliomas, 29% had all three alterations (i.e., were triple-positive), 5% had TERT and IDH mutations, 45% had only IDH mutations, 7% were triple-negative, and 10% had only TERT mutations; 5% had other combinations. Among 472 grade IV gliomas, less than 1% were triple-positive, 2% had TERT and IDH mutations, 7% had only IDH mutations, 17% were triple-negative, and 74% had only TERT mutations. The mean age at diagnosis was lowest (37 years) among patients who had gliomas with only IDH mutations and was highest (59 years) among patients who had gliomas with only TERT mutations. The molecular groups were independently associated with overall survival among patients with grade II or III gliomas but not among patients with grade IV gliomas. The molecular groups were associated with specific germline variants.ConclusionsGliomas were classified into five principal groups on the basis of three tumor markers. The groups had different ages at onset, overall survival, and associations with germline variants, which implies that they are characterized by distinct mechanisms of pathogenesis. (Funded by the National Institutes of Health and others.).

Dataset Information

OS5.7 First results of the randomized phase II TAVAREC trial on temozolomide with or without bevacizumab in 1p/19q intact 1st recurrence grade II and III glioma

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets