Alexandro Paccapelo

Patient outcomes following second surgery for recurrent glioblastoma

BACKGROUND The most appropriate management of recurrent glioblastoma is still controversial. In particular, the role of surgery at recurrence remains uncertain. PATIENTS & METHODS From our Institutional data warehouse we analyzed 270 consecutive patients who received second surgery for recurrent glioblastoma, to assess survival after second surgery, and to evaluate prognostic factors. RESULTS Complete resection was found in 128 (47.4%) and partial resection in 142 patients (52.6%). Median survival from second surgery was 11.4 months (95% CI: 10.0-12.7). Multivariate analysis showed that age (p = 0.001), MGMT methylation (p = 0.021) and extent of surgery (p < 0.001) are associated with better survival. CONCLUSION A complete resection should be the goal for second resection and younger age and MGMT methylation status might be considered in the selection of patients.

Role of MGMT Methylation Status at Time of Diagnosis and Recurrence for Patients with Glioblastoma: Clinical Implications

BACKGROUND MGMT methylation status represents a powerful prognostic factor in newly diagnosed glioblastoma (GBM). Recently, its role in recurrent tumors has also been suggested; however, few data investigating the stability of this biomarker during the clinical course of the disease are available. In this study, we evaluated the rate of change of MGMT methylation status between diagnosis and first recurrence in patients who received tumor resection for recurrent GBM. METHODS We included patients who received temozolomide concurrent with and adjuvant to radiotherapy after diagnosis of GBM and had a second surgery performed at least 3 months after radiotherapy completion. Other eligibility criteria were age ≥18 years and Eastern Cooperative Oncology Group performance status 0-2. We evaluated the MGMT methylation status by methylation-specific polymerase chain reaction. RESULTS From our institutional data warehouse, 295 patients with recurrent GBM who underwent second surgery were evaluated. MGMT methylation status at both first and second surgery was available for 108 patients. MGMT was methylated in both surgeries in 38 patients (35.2%), while it was unmethylated in 43 patients (39.8%). We found a significant concordance between the first and the second MGMT methylation assessments (K = 0.500, p < .001), MGMT methylation being stable in 75% of the cases. CONCLUSION MGMT methylation presents relative stability during the clinical course of GBM. The Oncologist 2017;22:432-437 IMPLICATIONS FOR PRACTICE: MGMT methylation is a prognostic factor in newly diagnosed glioblastoma. In this study, we evaluated the rate of change of MGMT methylation during the clinical course of the disease, and we found a significant concordance between the first and the second MGMT methylation assessments, with MGMT methylation being stable in 75% of the cases. Thus, re-testing this biomarker at recurrence does not provide further information for clinicians. MGMT methylation at first surgery, extent of resection at second surgery, and time between first and second surgery are significantly correlated with overall survival. Age and extent of resection are correlated with post-progression survival.

Early tumour shrinkage as a survival predictor in patients with recurrent glioblastoma treated with bevacizumab in the AVAREG randomized phase II study

BACKGROUND Disease assessment for recurrent glioblastoma (GBM) represents a challenge, especially with the use of antiangiogenic agents. Moreover, validated neuroradiological predictors of outcome are lacking. Recently, the concept of early tumor shrinkage (ETS) has been developed to better assess the ability of treatments in determining a rapid and remarkable tumor response.The aim of the study was to evaluate the role of ETS in predicting survival of GBM patients treated with BEVMETHODS: We examined the radiological data of patients with recurrent GBM treated with bevacizumab (BEV) or fotemustine (FTM) in the randomized phase II AVAREG trial (EudraCT: 2011-001363-46).Radiologic assessments at first disease assessment (day 46) were used to calculate the relative change in the sum of the products of perpendicular diameters of all measurable lesions determined by either T1 contrast and T2/FLAIR. RESULTS In patients treated with BEV, the best ETS cut-off was reduction of 15% with T1 contrast and of 40% with T2/FLAIR. Adopting this cut-off for T1 contrast radiological changes, ETS was a significant predictor of OS for patients treated with BEV (HR = 0.511, 95%CI:0.269-0.971, p = 0.040). The cut-off obtained for T2/FLAIR was not significantly correlated with OS (p = 0.102), but we found a trend for correlation with survival when considering the variable as continuous (p = 0.058). CONCLUSIONS ETS evaluating T1 contrast reduction is a helpful predictor of survival in patients with recurrent GBM treated with BEV, and if validated in a larger prospective trial could be a helpful surrogate endpoint.BACKGROUND Disease assessment for recurrent glioblastoma (GBM) represents a challenge, especially with the use of antiangiogenic agents. Moreover, validated neuroradiological predictors of outcome are lacking. Recently, the concept of early tumor shrinkage (ETS) has been developed to better assess the ability of treatments in determining a rapid and remarkable tumor response. The aim of the study was to evaluate the role of ETS in predicting survival of GBM patients treated with BEV METHODS We examined the radiological data of patients with recurrent GBM treated with bevacizumab (BEV) or fotemustine (FTM) in the randomized phase II AVAREG trial (EudraCT: 2011-001363-46). Radiologic assessments at first disease assessment (day 46) were used to calculate the relative change in the sum of the products of perpendicular diameters of all measurable lesions determined by either T1 contrast and T2/FLAIR. RESULTS In patients treated with BEV, the best ETS cut-off was reduction of 15% with T1 contrast and of 40% with T2/FLAIR. Adopting this cut-off for T1 contrast radiological changes, ETS was a significant predictor of OS for patients treated with BEV (HR = 0.511, 95%CI:0.269-0.971, p = 0.040). The cut-off obtained for T2/FLAIR was not significantly correlated with OS (p = 0.102), but we found a trend for correlation with survival when considering the variable as continuous (p = 0.058). CONCLUSIONS ETS evaluating T1 contrast reduction is a helpful predictor of survival in patients with recurrent GBM treated with BEV, and if validated in a larger prospective trial could be a helpful surrogate endpoint.

Non-canonical IDH1 and IDH2 mutations: a clonal and relevant event in an Italian cohort of gliomas classified according to the 2016 World Health Organization (WHO) criteria

According to the 2016 World Health Organization (WHO) classification of tumors of the central nervous system, assessment of exon 4 mutations in isocitrate dehydrogenase 1 or 2 genes (IDH1 or IDH2) is an essential step in the characterization of gliomas. The p.R132H mutation is the most frequent alteration in IDH genes, however other non-canonical IDH mutations can be identified. The aim of this study is to investigate in depth the prevalence of non-R132H IDH (“non-canonical”) mutations in brain tumors classified according to the 2016 WHO scheme and their clonal distribution in neoplastic cells. A total of 288 consecutive cases of brain gliomas (grade II–IV) were analyzed for exon 4 IDH1 and IDH2 mutations. IDH1 and IDH2 analysis was performed using next generation sequencing. Non-canonical IDH mutations were identified in 13/52 (25.0%) grade II gliomas (astrocytomas: 8/31, 25.8%; oligodendrogliomas: 5/21, 23.8%) and in 5/40 (12.5%) grade III gliomas (astrocytomas: 3/25, 12.0%; oligodendrogliomas: 2/15, 13.3%). They were not identified in 196 grade IV gliomas (192 glioblastomas, 4 gliosarcomas). In the large majority (>80%) of tumors IDH mutations, both IDH1-R132H and the non-canonical ones, were present in the large majority (>80%) of neoplastic cells. Our data highlight the importance of investigating not only the IDH1-R132H mutation but also the non-canonical ones. These mutations are clonally distributed, with proportions of mutated neoplastic cells overlapping with those of p.R132H, a finding consistent with their driver role in gliomagenesis.

The percentage of Epidermal Growth Factor Receptor (EGFR)-mutated neoplastic cells correlates to response to tyrosine kinase inhibitors in lung adenocarcinoma

Background Epidermal Growth Factor Receptor (EGFR) molecular analysis is performed to assess the responsiveness to Tyrosine Kinase Inhibitors (TKIs) in patients with Non-Small Cell Lung Cancer (NSCLC). The existence of molecular intra-tumoral heterogeneity has been observed in lung cancers. The aim of the present study is to investigate if the percentage of mutated neoplastic cells within the tumor sample might influence the responsiveness to TKIs treatment. Material and methods A total of 931 cases of NSCLC were analyzed for EGFR mutational status (exon 18, 19, 20, 21) using Next Generation Sequencer. The percentage of mutated neoplastic cells was calculated after normalizing the percentage of mutated alleles obtained after next generation sequencer analysis with the percentage of neoplastic cells in each tumor. Results Next generation sequencing revealed an EGFR mutation in 167 samples (17.9%), mainly deletions in exon 19. In 18 patients treated with TKIs and with available follow-up, there was a significant correlation between the percentage of mutated neoplastic cells and the clinical response (P = 0.017). Patients with a percentage of mutated neoplastic cells greater than 56%, have a statistical trend (P = 0.081) for higher Overall Survival (26.3 months) when compared to those with a rate of mutated neoplastic cells lower than 56% (8.2 months). Conclusions The percentage of EGFR-mutated neoplastic cells in the tumor is associated with response to TKIs. A “quantitative result” of EGFR mutational status might provide useful information in order to recognize those patients which might have the greatest benefit from TKIs.

Correction to: Which elderly newly diagnosed glioblastoma patients can benefit from radiotherapy and temozolomide? A PERNO prospective study

The members of the PERNO Study Group were not individually captured in the metadata of the original publication. They are included in the metadata of this publication.