381pdcomprehensive geriatric assessment cga for outcome prediction in elderly patients pts with glioblastoma gbm a mono institutional experience

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mismatch repair deficiency mmrd in glioma patients pts frequency and correlation with clinical histological and molecular characteristics

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Mismatch-repair protein expression in high-grade gliomas: A large retrospective multicenter study

Background: DNA mismatch repair (MMR) is a system for repairing errors in DNA replication. Cancer cells with MMR deficiency can have immunohistochemical loss of MMR protein expression leading to a hypermutable phenotype that may correlate with anti-PD1 efficacy. Scant data exist about immunohistochemical loss of MMR protein expression in high-grade gliomas (HGG). Materials and Methods: We performed a large multicenter retrospective study to investigate the frequency and the prognostic role of immunohistochemical loss of MMR protein expression in HGG patients; we nevertheless evaluated the association between this status and clinical or molecular characteristics. Immunohistochemical loss of MMR protein expression was recorded as partial or complete loss of at least 1 MMR protein. Results: We analyzed the expression of MMR proteins in tumor tissue of 355 consecutive patients. Partial and complete immunohistochemical loss of MMR proteins was found in 43/355 samples (12.1%) and among these, 15 cases (4.2%) showed a complete loss of at the least one MMR protein. Alteration of MSH2 expression was found in 55.8%, MSH6 in 46.5%, PMS2 in 34.9%, and MLH1 in 30.2%. Alteration of MMR protein expression was statistically more frequent in anaplastic gliomas, in recurrent disease, in patients treated with temozolomide, and in IDH-mut gliomas. Immunohistochemical loss of MMR proteins was not associated with survival, adjusting for clinically relevant confounders. Conclusions: MMR protein expression status did not affect survival in HGG patients. We identified clinical and molecular characteristics correlating with immunohistochemical loss of MMR proteins expression. A large study should be performed to analyze its predictive role of immune checkpoint inhibitor efficacy in these subgroups of patients

PET/MR in recurrent glioblastoma patients treated with regorafenib: [18F]FET and DWI-ADC for response assessment and survival prediction

Objective: The use of regorafenib in recurrent glioblastoma patients has been recently approved by the Italian Medicines Agency (AIFA) and added to the National Comprehensive Cancer Network (NCCN) 2020 guidelines as a preferred regimen. Given its complex effects at the molecular level, the most appropriate imaging tools to assess early response to treatment is still a matter of debate. Diffusion-weighted imaging and O-(2-18F-fluoroethyl)-L-tyrosine positron emission tomography ([18F]FET PET) are promising methodologies providing additional information to the currently used RANO criteria. The aim of this study was to evaluate the variations in diffusion-weighted imaging/apparent diffusion coefficient (ADC) and [18F]FET PET-derived parameters in patients who underwent PET/MR at both baseline and after starting regorafenib. Methods: We retrospectively reviewed 16 consecutive GBM patients who underwent [18F]FET PET/MR before and after two cycles of regorafenib. Patients were sorted into stable (SD) or progressive disease (PD) categories in accordance with RANO criteria. We were also able to analyze four SD patients who underwent a third PET/MR after another four cycles of regorafenib. [18F]FET uptake greater than 1.6 times the mean background activity was used to define an area to be superimposed on an ADC map at baseline and after treatment. Several metrics were then derived and compared. Log-rank test was applied for overall survival analysis. Results: Percentage difference in FET volumes correlates with the corresponding percentage difference in ADC (R = 0.54). Patients with a twofold increase in FET after regorafenib showed a significantly higher increase in ADC pathological volume than the remaining subjects (p = 0.0023). Kaplan-Meier analysis, performed to compare the performance in overall survival prediction, revealed that the percentage variations of FET- and ADC-derived metrics performed at least as well as RANO criteria (p = 0.02, p = 0.024 and p = 0.04 respectively) and in some cases even better. TBR Max and TBR mean are not able to accurately predict overall survival. Conclusion In recurrent glioblastoma patients treated with regorafenib, [18F]FET and ADC metrics, are able to predict overall survival and being obtained from completely different measures as compared to RANO, could serve as semi-quantitative independent biomarkers of response to treatment. Advances in knowledge Simultaneous evaluation of [18F]FET and ADC metrics using PET/MR allows an early and reliable identification of response to treatment and predict overall survival

preliminary results of principe predictors of resistance to immunotherapy with nivolumab niv study in advanced pretreated non small cell lung cancer apnsclc investigating the role of an immune genomic signature igs including jak2 jak3 pias4 ptpn2 stat3 ifnar2 alterations

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Definition of the Prognostic Role of MGMT Promoter Methylation Value by Pyrosequencing in Newly Diagnosed IDH Wild‐Type Glioblastoma Patients Treated with Radiochemotherapy: A Large Multicenter Study

Background. O6‐methylguanine (O6‐MeG)‐DNA methyltransferase (MGMT) methylation status is a predictive factor for alkylating treatment efficacy in glioblastoma patients, but its prognostic role is still unclear. We performed a large, multicenter study to evaluate the association between MGMT methylation value and survival. Methods. We evaluated glioblastoma patients with an assessment of MGMT methylation status by pyrosequencing from nine Italian centers. The inclusion criteria were histological diagnosis of IDH wild‐type glioblastoma, Eastern Cooperative Oncology Group Performance Status (ECOG‐PS) ≤2, and radio‐chemotherapy treatment with temozolomide. The relationship between OS and MGMT was investigated with a time‐dependent Receiver Operating Characteristics (ROC) curve and Cox regression models. Results. In total, 591 newly diagnosed glioblastoma patients were analyzed. The median OS was 16.2 months. The ROC analysis suggested a cut‐off of 15% for MGMT methylation. The 2‐year Overall Survival (OS) was 18.3% and 51.8% for MGMT methylation <15% and ≥15% (p < 0.0001). In the multivariable analysis, MGMT methylation <15% was associated with impaired survival (p <0.00001). However, we also found a non‐linear association between MGMT methylation and OS (p = 0.002): median OS was 14.8 months for MGMT in 0–4%, 18.9 months for MGMT in 4–40%, and 29.9 months for MGMT in 40– 100%. Conclusions. Our findings suggested a non‐linear relationship between OS and MGMT promoter methylation, which implies a varying magnitude of prognostic effect across values of MGMT promoter methylation by pyrosequencing in newly diagnosed IDH wild‐type glioblastoma patients treated with chemoradiotherapy

Recurrent glioblastoma: From molecular landscape to new treatment perspectives

Glioblastoma is the most frequent and aggressive form among malignant central nervous system primary tumors in adults. Standard treatment for newly diagnosed glioblastoma consists in maximal safe resection, if feasible, followed by radiochemotherapy and adjuvant chemotherapy with temozolomide; despite this multimodal treatment, virtually all glioblastomas relapse. Once tumors progress after first-line therapy, treatment options are limited and management of recurrent glioblastoma remains challenging. Loco-regional therapy with re-surgery or re-irradiation may be evaluated in selected cases, while traditional systemic therapy with nitrosoureas and temozolomide rechallenge showed limited efficacy. In recent years, new clinical trials using, for example, regorafenib or a combination of tyrosine kinase inhibitors and immunotherapy were performed with promising results. In particular, molecular targeted therapy could show efficacy in selected patients with specific gene mutations. Nonetheless, some molecular characteristics and genetic alterations could change during tumor progression, thus affecting the efficacy of precision medicine. We therefore reviewed the molecular and genomic landscape of recurrent glioblastoma, the strategy for clinical management and the major phase I-III clinical trials analyzing recent drugs and combination regimens in these patients

Proteome changes in platelets activated by arachidonic acid, collagen, and thrombin

<p>Abstract</p> <p>Background</p> <p>Platelets are small anucleated blood particles that play a key role in the control of bleeding. Platelets need to be activated to perform their functions and participate in hemostasis. The process of activation is accompanied by vast protein reorganization and posttranslational modifications. The goal of this study was to identify changes in proteins in platelets activated by different agonists. Platelets were activated by three different agonists - arachidonic acid, collagen, and thrombin. 2D SDS-PAGE (pI 4-7) was used to separate platelet proteins. Proteomes of activated and resting platelets were compared with each other by Progenesis SameSpots statistical software; and proteins were identified by nanoLC-MS/MS.</p> <p>Results</p> <p>190 spots were found to be significantly different. Of these, 180 spots were successfully identified and correspond to 144 different proteins. Five proteins were found that had not previously been identified in platelets: protein CDV3 homolog, protein ETHE1, protein LZIC, FGFR1 oncogene partner 2, and guanine nucleotide-binding protein subunit beta-5. Using spot expression profile analysis, we found two proteins (WD repeat-containing protein 1 and mitochondrial glycerol-3-phosphate dehydrogenase) that may be part of thrombin specific activation or signal transduction pathway(s).</p> <p>Conclusions</p> <p>Our results, characterizing the differences within proteins in both activated (by various agonists) and resting platelets, can thus contribute to the basic knowledge of platelets and to the understanding of the function and development of new antiplatelet drugs.</p