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Chakravarti, Arnab

https://orcid.org/0000-0002-2513-7324

A5102820912 | I2799885155

Mayo Clinic

The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute

Citations 17

Genetic landscape of extreme responders with anaplastic oligodendroglioma

Oncotarget | April 1, 2017 | Volume: 8 | Issue: 22 | Pages: 35523-35531

10.18632/oncotarget.16773 | PMID 28388591

Molecular predictors of outcome and response to bevacizumab (BEV) based on analysis of RTOG 0825, a phase III trial comparing chemoradiation (CRT) with and without BEV in patients with newly diagnosed glioblastoma (GBM).

Journal of Clinical Oncology | February 24, 2017 | Volume: 31 | Issue: 18_suppl | Pages: LBA2010-LBA2010

10.1200/jco.2013.31.18_suppl.lba2010

LBA2010 Background: RTOG 0825 evaluated the addition of BEV to standard CRT in the treatment of GBM and included molecular stratification that assessed the degree of mesenchymal (MES) gene enrichment. We investigated the ability of the MES signature to predict response to BEV. Methods: Sufficient FFPE tissue for molecular analysis was available for 650 registered, eligible patients. TaqMan PCR was performed prospectively using the molecular stratifier on all patients and an expanded 43 member MES set on 234 cases. A subset of specimens was subjected to whole genome expression profiling (GEP). Predictive models were evaluated for their ability to predict survival (overall, OS, and progression-free, PFS) in the training cohort of the BEV arm after adjusting for prognostic factors and treatment arm. Unsupervised clustering of GEP data was used to identify molecular subsets and gene set enrichment analysis (GSEA) performed to evaluate for MES enrichment. Results: We observed a significant association between increasing MES signature and worse PFS and OS in the BEV arm (p=0.036 and p=0.032, respectively). Based on the association between high MES expression and poor outcome in the BEV arm, we sought to optimize a predictor using an expanded set of MES genes. Unbiased gene selection from a total of 43 genes followed by radial basis machine modeling identified a 10-gene predictor of outcome in the BEV arm (p<0.001/HR 4.04 for OS and p<0.001/HR 2.21 for PFS). To further support the association of MES enrichment and poor outcome in the BEV arm, we performed GEP. Unsupervised clustering identified a subtype of tumors with MES enrichment associated with the 10-gene predictor survival probability (p=0.0124, t-test). Ongoing studies will determine the extent to which this represents a predictive marker for BEV. Conclusions: We developed a 10-gene predictor specific to BEV treatment and suitable for FFPE that may serve to identify subsets of patients with newly diagnosed GBM who benefit from BEV. Supported by RTOG grant U10 CA21661, CCOP grant U10 CA37422, and Brain SPORE P50 CA127001 from the NCI and Genentech. Clinical trial information: NCT00884741.
RTOG 0825: Phase III double-blind placebo-controlled trial evaluating bevacizumab (Bev) in patients (Pts) with newly diagnosed glioblastoma (GBM).

Journal of Clinical Oncology | February 24, 2017 | Volume: 31 | Issue: 18_suppl | Pages: 1-1

10.1200/jco.2013.31.18_suppl.1

1 Background: Chemoradiation (CRT) with temozolomide (TMZ/RT→TMZ) is the standard of care for newly diagnosed GBM. This trial determined if the addition of Bev to standard CRT improves survival (OS) or progression-free survival (PFS) in newly diagnosed GBM. Methods: This phase III trial was conducted by the RTOG, NCCTG, and ECOG. Neurologically stable pts > 18 yrs with KPS ≥ 60, and > 1cm3 tumor tissue block, were randomized to Arm 1: standard CRT + placebo or Arm 2: standard CRT plus Bev (10 mg/kg iv q 2wks). Experimental treatment began at wk 4 of radiation then thru 6-12 cycles of maintenance chemotherapy. Protocol specified co-primary endpoints were OS and PFS, with significance levels of .023 and .002, respectively. At progression, treatment was unblinded and pts allowed to crossover or continue Bev. Symptom, QOL and neurocognitive (NCF) testing was performed in the majority of pts. Secondary analyses evaluated impact of MGMT methylation (meth) and prognostic 9 gene signature status. Results: From 978 registered pts, 637 were randomized. Inadequate tissue (n=105) and blood on imaging (n=40) were key reasons for non-randomization. No difference was found between arms for OS (median 16.1 vs. 15.7 mo, p = 0.11). PFS was extended for Arm 2 (7.3 vs. 10.7 mo, p = 0.004). Pts with MGMT meth had superior OS (23.2 vs. 14.3 mo, p < 0.001) and PFS (14.1 vs. 8.2 mo, p < 0.001). Neither the 9 gene signature nor MGMT predicted selective benefit for Bev treatment, but best prognosis pts (MGMT meth, favorable 9-gene), had a worse survival trend with Bev (15.7 vs 25 mo p = 0.08). To date, 128 pts were unblinded on Arm 1 (salvage Bev in 86) and 87 pts on Arm 2 (continued Bev in 39). Increased grade ≥ 3 toxicity was seen with Bev, mostly neutropenia, hypertension, and DVT/PE. Conclusions: The addition of Bev for newly diagnosed GBM did not improve OS, did improve PFS but did not reach the significance criterion. MGMT and 9 gene profile did not identify selective benefit, but risk subset results suggested strongly against the upfront use of Bev in the best prognosis pts. Full interpretation of the PFS results incorporating symptom burden, QOL, and NCF is ongoing. Support: NCI U10 CA 21661, U10 CA37422, and Genentech. Clinical trial information: NCT00884741.
RTOG 0525: Molecular correlates from a randomized phase III trial of newly diagnosed glioblastoma.

Journal of Clinical Oncology | February 23, 2017 | Volume: 29 | Issue: 18_suppl | Pages: LBA2000-LBA2000

10.1200/jco.2011.29.18_suppl.lba2000

LBA2000 Background: Formalin-fixed, paraffin embedded GBM tumor tissue, adequate for conventional MGMT methylation analyses, was required for entry onto the RTOG 0525 clinical trial. Methods: Four prognostic biomarkers were evaluated on a training set of 220 retrospectively obtained GBM samples, consisting of IDH1 mutation, the glioma-CpG island methylator phenotype (G-CIMP), a microarray-based mRNA panel and a novel MGMT promoter methylation assay. For each biomarker, 2 (IDH1 and mRNA) or 3 subgroups (G-CIMP and MGMT) were defined based on associations with overall survival. All combinations (36 possible) of each of the 4 biomarker-derived subgroups were then defined and compared with survival data and then consolidated into 4 risk groups. Once created in the training set, this model was applied to the RTOG 0525 samples (n=763) for external validation. Results: Application of the molecular risk classification to RTOG 0525 samples (left table) showed a highly significant survival association (p<0.001). When compared to the recursive partitioning analysis (RPA, table on right), this composite molecular classifier better identified patients with long term survival and appears to improve resolution by revealing an additional distinct risk group. The molecular classifier was prognostic in each of the treatment arms individually. Conclusions: Four distinct biomarkers or biomarker panels were tested in GBM. These biomarkers were compared with clinical outcome in a training set to optimize a method to combine them into a classifier. This classifier was then validated on a large sample set from a large phase III clinical trial. This composite panel may represent an improvement over the existing RPA with respect to risk stratification of patients for GBM. Additionally, it has the potential to impact future clinical trial designs and provide enhanced opportunities for personalization of therapy for GBM. Support: NCI U10 CA2121661, U10 CA37422, P50 CA127001. [Table: see text]
SapC-DOPS-induced lysosomal cell death synergizes with TMZ in glioblastoma

Oncotarget | September 15, 2015 | Volume: 5 | Issue: 20 | Pages: 9703-9709

10.18632/oncotarget.2232 | PMID 25210852

Abstract A110: EGFRvIII expression is associated with shorter progression-free and overall survival in glioblastoma patients treated with standard-of-care temozolomide and radiation: A report from the RTOG-0525 trial.

Molecular Cancer Therapeutics | August 14, 2014 | Volume: 12 | Issue: 11_Supplement | Pages: A110-A110

10.1158/1535-7163.targ-13-a110

Abstract Background: Glioblastomas (GBMs) are aggressive primary brain tumors with high levels of genomic heterogeneity impacting prognosis and treatment response. A recurrent in-frame deletion within the extracellular domain of the epidermal growth factor receptor (EGFR variant III, or vIII) is found in a substantial fraction of GBMs. Methods: The Radiation Therapy Oncology Group (RTOG) 0525 trial of temozolomide dosing in newly-diagnosed GBM enrolled 1174 patients. Of these, 494 eligible GBMs were analyzed for EGFRvIII expression by RT-PCR. The Kaplan-Meier method was used to compare the progression free survival (PFS) and overall survival (OS) of GBMs expressing EGFRvIII with those not expressing EGFRvIII. Results: 142 of 494 tested GBMs (29%) had expressed EGFRvIII. There were no significant differences in PFS or OS between patients whose tumors did (494) or did not (631) undergo EGFRvIII expression analysis. EGFRvIII expression was significantly associated with age (p=0.005), Karnofsky performance status (p=0.02), and RTOG recursive partitioning analysis (RPA) class (p=0.005). EGFRvIII expression analyzed in the entire study population did not reveal an association with PFS or OS. In a univariate subgroup analysis of patients treated on the standard-of-care arm of RTOG-0525, EGFRvIII expression was was significantly associated with worse PFS (HR=1.43, 95% CI: [1.05, 1.96], p=0.025), and worse OS (HR 1.45, 95% CI:[1.03, 2.05], p=0.032). However, in multivariate models, when adjusted for RPA class and MGMT methylation status, EGFRvIII was not an independent predictor of either PFS or OS. Conclusion: For GBMs treated with standard-of-care therapy in RTOG-0525, EGFRvIII expression was associated with worse PFS and OS. However, well-established stratification metrics such as age, KPS, and RPA override this prognostic association, suggesting that trials of therapeutic modalities directed against EGFRvIII should utilize these standard prognostic variables when survival is being analyzed or compared. Project Support: This project was supported by RTOG grant U10 CA21661, and CCOP grant U10 CA37422 from the National Cancer Institute (NCI) and Schering-Plough Corporation. Citation Information: Mol Cancer Ther 2013;12(11 Suppl):A110. Citation Format: Daniel P. Cahill, Asha George, Mark R. Gilbert, Arnab Chakravarti, Roger Stupp, Monika Hegi, Paul Brown, Kurt A. Jaeckle, Benjamin Corn, Erik P. Sulman, Luis Souhami, Maria Werner-Wasik, Bethany M. Anderson, Minesh Mehta, Kenneth D. Aldape. EGFRvIII expression is associated with shorter progression-free and overall survival in glioblastoma patients treated with standard-of-care temozolomide and radiation: A report from the RTOG-0525 trial. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2013 Oct 19-23; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2013;12(11 Suppl):Abstract nr A110.
Dose-Dense Temozolomide for Newly Diagnosed Glioblastoma: A Randomized Phase III Clinical Trial

Journal of Clinical Oncology | October 7, 2013 | Volume: 31 | Issue: 32 | Pages: 4085-4091

10.1200/jco.2013.49.6968 | PMID 24101040

Purpose Radiotherapy with concomitant and adjuvant temozolomide is the standard of care for newly diagnosed glioblastoma (GBM). O 6 -methylguanine-DNA methyltransferase (MGMT) methylation status may be an important determinant of treatment response. Dose-dense (DD) temozolomide results in prolonged depletion of MGMT in blood mononuclear cells and possibly in tumor. This trial tested whether DD temozolomide improves overall survival (OS) or progression-free survival (PFS) in patients with newly diagnosed GBM. Patients and Methods This phase III trial enrolled patients older than age 18 years with a Karnofsky performance score of ≥ 60 with adequate tissue. Stratification included clinical factors and tumor MGMT methylation status. Patients were randomly assigned to standard temozolomide (arm 1) or DD temozolomide (arm 2) for 6 to 12 cycles. The primary end point was OS. Secondary analyses evaluated the impact of MGMT status. Results A total of 833 patients were randomly assigned to either arm 1 or arm 2 (1,173 registered). No statistically significant difference was observed between arms for median OS (16.6 v 14.9 months, respectively; hazard ratio [HR], 1.03; P = .63) or median PFS (5.5 v 6.7 months; HR, 0.87; P = .06). Efficacy did not differ by methylation status. MGMT methylation was associated with improved OS (21.2 v 14 months; HR, 1.74; P < .001), PFS (8.7 v 5.7 months; HR, 1.63; P < .001), and response (P = .012). There was increased grade ≥ 3 toxicity in arm 2 (34% v 53%; P < .001), mostly lymphopenia and fatigue. Conclusion This study did not demonstrate improved efficacy for DD temozolomide for newly diagnosed GBM, regardless of methylation status. However, it did confirm the prognostic significance of MGMT methylation. Feasibility of large-scale accrual, prospective tumor collection, and molecular stratification was demonstrated.