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van den Bent, Martin J

0000-0001-5710-5127

Mayo Clinic

Brain Tumor Center, Department of Neurology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.

Citations 41

CODEL: phase III study of RT, RT + TMZ, or TMZ for newly diagnosed 1p/19q codeleted oligodendroglioma. Analysis from the initial study design
Jaeckle, Kurt A. , Ballman, Karla V. , Bent, Martin J. van den , Giannini, Caterina , Galanis, Evanthia , Brown, Paul D. , Jenkins, Robert B. , Cairncross, J. Gregory , Wick, Wolfgang , Weller, Michael , Aldape, Kenneth , Anderson, S. Keith , Cerhan, Jane H. , Klein, Martin , Schiff, David , Raizer, Jeffrey J. , Dhermain, F., Nordstrom, Donald G., Flynn, Patrick J. , Vogelbaum, Michael A. , Dixon, Jesse G. , Weller, Michael , van den Bent, Martin J , Galanis, Evanthia , Giannini, Caterina , Wick, Wolfgang , Jaeckle, Kurt A , Ballman, Karla , Dixon, Jesse G , Dixon, Jesse G , Wefel, Jeffrey S. , Grossman, Stuart A.

Neuro-Oncology | July 13, 2020 | Volume: 23 | Issue: 3 | Pages: 457-467

10.1093/neuonc/noaa168 Get It

Abstract Background We report the analysis involving patients treated on the initial CODEL design. Methods Adults (>18) with newly diagnosed 1p/19q World Health Organization (WHO) grade III oligodendroglioma were randomized to radiotherapy (RT; 5940 centigray ) alone (arm A); RT with concomitant and adjuvant temozolomide (TMZ) (arm B); or TMZ alone (arm C). Primary endpoint was overall survival (OS), arm A versus B. Secondary comparisons were performed for OS and progression-free survival (PFS), comparing pooled RT arms versus TMZ-alone arm. Results Thirty-six patients were randomized equally. At median follow-up of 7.5 years, 83.3% (10/12) TMZ-alone patients progressed, versus 37.5% (9/24) on the RT arms. PFS was significantly shorter in TMZ-alone patients compared with RT patients (hazard ratio [HR] = 3.12; 95% CI: 1.26, 7.69; P = 0.014). Death from disease progression occurred in 3/12 (25%) of TMZ-alone patients and 4/24 (16.7%) on the RT arms. OS did not statistically differ between arms (comparison underpowered). After adjustment for isocitrate dehydrogenase (IDH) status (mutated/wildtype) in a Cox regression model utilizing IDH and RT treatment status as covariables (arm C vs pooled arms A + B), PFS remained shorter for patients not receiving RT (HR = 3.33; 95% CI: 1.31, 8.45; P = 0.011), but not OS ((HR = 2.78; 95% CI: 0.58, 13.22, P = 0.20). Grade 3+ adverse events occurred in 25%, 42%, and 33% of patients (arms A, B, and C). There were no differences between arms in neurocognitive decline comparing baseline to 3 months. Conclusions TMZ-alone patients experienced significantly shorter PFS than patients treated on the RT arms. The ongoing CODEL trial has been redesigned to compare RT + PCV versus RT + TMZ.
Phase 0 and window of opportunity clinical trial design in neuro-oncology: a RANO review
Vogelbaum, Michael A. , Krivosheya, Daria, Borghei‐Razavi, Hamid , Sanai, Nader , Weller, Michael , Wick, Wolfgang , Reardon, David A. , Wen, Patrick Y. , Bent, Martin J. van den , Chang, Susan M. , Weller, Michael , van den Bent, Martin J , Wick, Wolfgang , Borghei-Razavi, Hamid , Soffietti, Riccardo , Aghi, Manish Kumar , Galanis, Evanthia , Wen, Patrick Yung

Neuro-Oncology | June 19, 2020 | Volume: 22 | Issue: 11 | Pages: 1568-1579

10.1093/neuonc/noaa149 Get It

Abstract Glioblastoma is a devastating disease with poor prognosis. Few effective chemotherapeutics are currently available, and much effort has been expended to identify new drugs capable of slowing tumor progression. The phase 0 trial design was developed to facilitate early identification of promising agents for cancer that should undergo accelerated approval. This design features an early in-human study that enrolls a small number of patients who receive subtherapeutic doses of medication with the goals of describing pharmacokinetics through drug blood level measurements and determining intratumoral concentrations of the investigational compound as well as pharmacodynamics by studying the biochemical and physiological effects of drugs. In neuro-oncology, however, the presence of the blood–brain barrier and difficulty in obtaining brain tumor tissue warrant a separate set of considerations. In this paper, we critically reviewed the protocols used in all brain tumor related in-human phase 0 and phase 0–like (“window of opportunity”) studies between 1993 and 2018, as well as ongoing clinical trials, and identified major challenges in trial design as applied to central nervous system tumors that include surgical specimen collection and storage, brain tumor drug level analysis, and confirmation of drug action. We therefore propose that phase 0 trials in neuro-oncology should include (i) only patients in whom a resection of the tumor is planned, (ii) use of clinical doses of an investigational agent, (iii) tissue sampling from enhancing and non-enhancing portions of the tumor, and (iv) assessment of drug-specific target effects. Standardization of clinical protocols for phase 0/window of opportunity studies can help accelerate the development of effective treatments for glioblastoma.
Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas
Boxerman, Jerrold L. , Quarles, C. Chad , Hu, Leland , Gerstner, Elizabeth R. , Smits, Marion , Barboriak, Daniel P. , Huang, Raymond, Wick, Wolfgang , Weller, Michael , Kalpathy–Cramer, Jayashree , Shankar, Lalitha , Jacobs, Paula , Chung, Caroline , Bent, Martin J. van den , Chang, Susan M. , Yung, Wai Kuen, Wen, Patrick Y. , Rosen, Bruce R. , Arons, David F., Kingston, Ann E, Sandak, David, Wallace, M. Z., Musella, Al , Haynes, Chas, Weller, Michael , van den Bent, Martin J , Boxerman, Jerrold L , Wick, Wolfgang , Smits, Marion , Barboriak, Daniel P , Erickson, Bradley J. , Kaufmann, Timothy J. , Galanis, Evanthia , Chang, Susan Marina , Yung, W K Al, Cloughesy, Timothy F. , Wen, Patrick Yung , Gilbert, Mark R. , Ellingson, Benjamin M. , Schmainda, Kathleen M

Neuro-Oncology | June 3, 2020 | Volume: 22 | Issue: 9 | Pages: 1262-1275

10.1093/neuonc/noaa141 Get It

Abstract Despite the widespread clinical use of dynamic susceptibility contrast (DSC) MRI, DSC-MRI methodology has not been standardized, hindering its utilization for response assessment in multicenter trials. Recently, the DSC-MRI Standardization Subcommittee of the Jumpstarting Brain Tumor Drug Development Coalition issued an updated consensus DSC-MRI protocol compatible with the standardized brain tumor imaging protocol (BTIP) for high-grade gliomas that is increasingly used in the clinical setting and is the default MRI protocol for the National Clinical Trials Network. After reviewing the basis for controversy over DSC-MRI protocols, this paper provides evidence-based best practices for clinical DSC-MRI as determined by the Committee, including pulse sequence (gradient echo vs spin echo), BTIP-compliant contrast agent dosing (preload and bolus), flip angle (FA), echo time (TE), and post-processing leakage correction. In summary, full-dose preload, full-dose bolus dosing using intermediate (60°) FA and field strength-dependent TE (40–50 ms at 1.5 T, 20–35 ms at 3 T) provides overall best accuracy and precision for cerebral blood volume estimates. When single-dose contrast agent usage is desired, no-preload, full-dose bolus dosing using low FA (30°) and field strength-dependent TE provides excellent performance, with reduced contrast agent usage and elimination of potential systematic errors introduced by variations in preload dose and incubation time.
Glioblastoma in adults: a Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions
Wen, Patrick Y. , Weller, Michael , Lee, Eudocia Q. , Barnholtz‐Sloan, Jill S. , Barthel, Floris P , Batchelor, Tracy T. , Chang, Susan M. , DeGroot, John, Hegi, Monika E. , Huang, Raymond Y. , Lassman, Andrew B. , Lim, Michael , Mellinghoff, Ingo K. , Minniti, Giuseppe , Nathanson, David A. , Platten, Michael , Preusser, Matthias , Roth, Patrick , Sanson, Marc , Schiff, David , Short, Susan , Taphoorn, Martin , Tonn, Joerg-Christian, Tsang, Jonathan , Verhaak, Roel G.W. , Deimling, Andreas von , Zadeh, Gelareh , Reardon, David A. , Aldape, Kenneth , Bent, Martin J. van den , Weller, Michael , Short, Susan C , van den Bent, Martin J , Barnholtz-Sloan, Jill S , Platten, Michael , Preusser, Matthias , Sanson, Marc , von Deimling, Andreas , Mellinghoff, Ingo K , Huang, Raymond , Roth, Patrick , Barthel, Floris P , Wen, Patrick Yung , Alexander, Brian M. , Bindra, Ranjit S. , Chiocca, E Antonio , Cloughesy, Timothy F. , Galanis, Evanthia , Gilbert, Mark R. , Horbinski, Craig , Rhun, Émilie Le , Mehta, Minesh P. , Tonn, Joerg-Christian , Wick, Wolfgang

Neuro-Oncology | April 20, 2020 | Volume: 22 | Issue: 8 | Pages: 1073-1113

10.1093/neuonc/noaa106 Get It

Abstract Glioblastomas are the most common form of malignant primary brain tumor and an important cause of morbidity and mortality. In recent years there have been important advances in understanding the molecular pathogenesis and biology of these tumors, but this has not translated into significantly improved outcomes for patients. In this consensus review from the Society for Neuro-Oncology (SNO) and the European Association of Neuro-Oncology (EANO), the current management of isocitrate dehydrogenase wildtype (IDHwt) glioblastomas will be discussed. In addition, novel therapies such as targeted molecular therapies, agents targeting DNA damage response and metabolism, immunotherapies, and viral therapies will be reviewed, as well as the current challenges and future directions for research.
cIMPACT‐NOW update 6: new entity and diagnostic principle recommendations of the cIMPACT‐Utrecht meeting on future CNS tumor classification and grading
Louis, David N. , Wesseling, Pieter , Aldape, Kenneth , Capper, David , Cree, Ian A. , Figarella‐Branger, Dominique , Fouladi, Maryam, Haberler, Christine , Hawkins, Cynthia , Komori, Takashi, Ng, Ho‐Keung , Orr, Brent A. , Paulus, Werner, Pietsch, Torsten , Reifenberger, Guido , Rosenblum, Marc, Rous, Brian , Sahm, Felix , Sarkar, Chitra , Solomon, David A. , Tabori, Uri , Bent, Martin J. van den , Deimling, Andreas von , Weller, Michael , White, Valerie A. , Ellison, David W. , Figarella-Branger, Dominique , Pietsch, Torsten , Sarkar, Chitra , Solomon, David A , Weller, Michael , van den Bent, Martin J , Orr, Brent A , Wesseling, Pieter , von Deimling, Andreas , Tabori, Uri , Sahm, Felix , Capper, David , Brat, Daniel J. , Eberhart, Charles G. , Fouladi, Maryam , Fuller, Gregory N. , Giannini, Caterina , Kros, Johan M. , Park, Sung-Hye , Perry, Arie , Rosenblum, Marc

Brain Pathology | April 20, 2020 | Volume: 30 | Issue: 4 | Pages: 844-856

10.1111/bpa.12832 Get It

Abstract cIMPACT‐NOW (the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy) was established to evaluate and make practical recommendations on recent advances in the field of CNS tumor classification, particularly in light of the rapid progress in molecular insights into these neoplasms. For Round 2 of its deliberations, cIMPACT‐NOW Working Committee 3 was reconstituted and convened in Utrecht, The Netherlands, for a meeting designed to review putative new CNS tumor types in advance of any future World Health Organization meeting on CNS tumor classification. In preparatory activities for the meeting and at the actual meeting, a list of possible entities was assembled and each type and subtype debated. Working Committee 3 recommended that a substantial number of newly recognized types and subtypes should be considered for inclusion in future CNS tumor classifications. In addition, the group endorsed a number of principles—relating to classification categories, approaches to classification, nomenclature, and grading—that the group hopes will also inform the future classification of CNS neoplasms.
“Real world” use of a highly reliable imaging sign: “T2-FLAIR mismatch” for identification of IDH mutant astrocytomas
Jain, Rajan , Patel, Sohil H. , Smits, Marion , Bent, Martin J. van den , Chi, Andrew S, van den Bent, Martin J , Smits, Marion , Jain, Rajan , Johnson, Derek R. , Castillo, Maurício , Chi, Andrew S, Cahill, Daniel P.

Neuro-Oncology | February 13, 2020 | Volume: 22 | Issue: 7 | Pages: 936-943

10.1093/neuonc/noaa041 Get It

Abstract AbstractThe T2-FLAIR (fluid attenuated inversion recovery) mismatch sign is an easily detectable imaging sign on routine clinical MRI studies that suggests diagnosis of isocitrate dehydrogenase (IDH)–mutant 1p/19q non-codeleted gliomas. Multiple independent studies show that the T2-FLAIR mismatch sign has near-perfect specificity, but low sensitivity for diagnosing IDH-mutant astrocytomas. Thus, the T2-FLAIR mismatch sign represents a non-invasive radiogenomic diagnostic finding with potential clinical impact. Recently, false positive cases have been reported, many related to variable application of the sign’s imaging criteria and differences in image acquisition, as well as to differences in the included patient populations. Here we summarize the imaging criteria for the T2-FLAIR mismatch sign, review similarities and differences between the multiple validation studies, outline strategies to optimize its clinical use, and discuss potential opportunities to refine imaging criteria in order to maximize its impact in glioma diagnostics.
Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases
Smits, Marion , Huang, Raymond Y. , Barboriak, Daniel P. , Weller, Michael , Chung, Caroline , Tsien, Christina , Brown, Paul D. , Shankar, Lalitha , Gerstner, Elizabeth R. , Bent, Martin J. van den , Dunn, Gavin P. , Wen, Patrick Y. , Weller, Michael , van den Bent, Martin J , Smits, Marion , Barboriak, Daniel P , Huang, Raymond , Kaufmann, Timothy J. , Boxerman, Jerrold L. , Galanis, Evanthia , Burns, Terry C. , Parney, Ian F. , Brastianos, Priscilla K. , Lin, Nancy U. , Wen, Patrick Yung , Ellingson, Benjamin M.

Neuro-Oncology | February 7, 2020 | Volume: 22 | Issue: 6 | Pages: 757-772

10.1093/neuonc/noaa030 Get It

AbstractA recent meeting was held on March 22, 2019, among the FDA, clinical scientists, pharmaceutical and biotech companies, clinical trials cooperative groups, and patient advocacy groups to discuss challenges and potential solutions for increasing development of therapeutics for central nervous system metastases. A key issue identified at this meeting was the need for consistent tumor measurement for reliable tumor response assessment, including the first step of standardized image acquisition with an MRI protocol that could be implemented in multicenter studies aimed at testing new therapeutics. This document builds upon previous consensus recommendations for a standardized brain tumor imaging protocol (BTIP) in high-grade gliomas and defines a protocol for brain metastases (BTIP-BM) that addresses unique challenges associated with assessment of CNS metastases. The “minimum standard” recommended pulse sequences include: (i) parameter matched pre- and post-contrast inversion recovery (IR)–prepared, isotropic 3D T1-weighted gradient echo (IR-GRE); (ii) axial 2D T2-weighted turbo spin echo acquired after injection of gadolinium-based contrast agent and before post-contrast 3D T1-weighted images; (iii) axial 2D or 3D T2-weighted fluid attenuated inversion recovery; (iv) axial 2D, 3-directional diffusion-weighted images; and (v) post-contrast 2D T1-weighted spin echo images for increased lesion conspicuity. Recommended sequence parameters are provided for both 1.5T and 3T MR systems. An “ideal” protocol is also provided, which replaces IR-GRE with 3D TSE T1-weighted imaging pre- and post-gadolinium, and is best performed at 3T, for which dynamic susceptibility contrast perfusion is included. Recommended perfusion parameters are given.
Optimizing eligibility criteria and clinical trial conduct to enhance clinical trial participation for primary brain tumor patients
Lee, Eudocia Q. , Weller, Michael , Sul, Joohee, Bagley, Stephen , Sahebjam, Solmaz , Bent, Martin J. van den , Ahluwalia, Manmeet S. , Campian, Jian , Holdhoff, Matthias , Lesser, Glenn J. , Lieberman, Frank S. , Peñas-Prado, Marta , Schreck, Karisa C. , Vogelbaum, Michael A. , Walbert, Tobias , Chang, Susan M. , Reardon, David A. , Wen, Patrick Y. , Weller, Michael , van den Bent, Martin J , Ahluwalia, Manmeet S , Galanis, Evanthia , Gilbert, Mark R. , Mehta, Minesh P. , Strowd, Roy E. , Chang, Susan Marina , Nabors, Burt , Grossman, Stuart A. , Wen, Patrick Yung

Neuro-Oncology | January 23, 2020 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/neuonc/noaa015 Get It

AbstractBuilding on an initiative to enhance clinical trial participation involving the Society for Neuro-Oncology, the Response Assessment in Neuro-Oncology Working Group, patient advocacy groups, clinical trial cooperative groups, and other partners, we evaluate the impact of eligibility criteria and trial conduct on neuro-oncology clinical trial participation. Clinical trials often carry forward eligibility criteria from prior studies that may be overly restrictive and unnecessary and needlessly limit patient accrual. Inclusion and exclusion criteria should be evaluated based on the goals and design of the study and whether they impact patient safety and/or treatment efficacy. In addition, we evaluate clinical trial conduct as a barrier to accrual and discuss strategies to minimize such barriers for neuro-oncology trials.
OS7.4 Calculating the net clinical benefit in brain tumor clinical trials by combining survival and health-related quality of life data using two methods: quality adjusted survival effect sizes (QASES) and joint modelling (JM)
Coomans, Marijke B , Bottomley, Andrew , Bent, Martin J. van den , Sloan, Jeff A. , Reijneveld, Jaap C. , Taphoorn, Martin , Baumert, Brigitta G. , Coens, Corneel , Gorlia, T., Herrlinger, Ulrich , Keime-Guibert, Florence, Martinelli, Francesca , Talacchi, Andrea , van den Bent, Martin J , Dirven, Linda , Stupp, Roger , Weller, Michael , Aaronson, Neil K. , Brandes, Alba Ariela , Chinot, Olivier , Gorlia, Thierry, Malmström, Annika , Wick, Wolfgang

Neuro-Oncology | September 6, 2019 | Volume: 21 | Issue: Supplement_3 | Pages: iii14-iii15

10.1093/neuonc/noz126.047 Get It

Abstract BACKGROUND The impact of treatment on both the quality and the quantity of life, i.e. the ‘net clinical benefit’, should be considered to inform glioma patients and facilitate shared decision making. We applied two methods (i.e. Quality Adjusted Effect Sizes (QASES) and Joint Modelling (JM)) that combine survival and health-related quality of life (HRQoL) data into one outcome, to gain insight in the net clinical benefit of a treatment strategy. In addition, we assessed if both methods result in similar interpretations. MATERIAL AND METHODS We calculated the net clinical benefit in one randomized controlled trial, EORTC 26951 comparing radiotherapy (RT) + PCV chemotherapy versus RT alone, as a proof of concept for other trials. With the QASES method, effect sizes for differences in survival and HRQoL between treatment arms were calculated. Next, the combined effect size can be determined by weighing the emphasis put on survival or HRQoL (e.g. survival more important). JM allows simultaneous modeling of a longitudinal outcome (HRQoL), and a time-to event outcome (survival). HRQoL scales/items that were selected for primary analysis in the main study were also selected for this analysis: fatigue, global health, social functioning, communication deficit, seizures, physical functioning, and nausea/vomiting. RESULTS 288/386 patients completed baseline HRQoL forms and were included in the analysis. Overall survival (OS) was significantly longer with combined treatment (difference of 10.8 months). In contrast, the percentage of patients who experienced a clinically relevant deterioration (≥10 points) in nausea/vomiting, fatigue, social functioning and global health up to one year after treatment compared to baseline was larger in the RT+PCV arm. The QASES corresponded to a reduction in the median OS difference from 10.8 months to 6.8 months when adjusted for the HRQoL scales/items, when given equal weights to OS and HRQoL. JM analyses resulted in a theoretical loss of treatment effect in OS of 2–6% when adjusting for HRQoL. CONCLUSION Both methods showed that adjusting for the impact of treatment on a relevant HRQoL parameter reduced the survival benefit in the experimental treatment arm compared to standard treatment arm. Applying these methods may facilitate communicating the impact of treatment to patients in clinical practice.