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102 citation(s) found for "Wen, Patrick".

LTBK-02. EVALUATION OF PAXALISIB IN GBM AGILE PHASE 3 REGISTRATION PLATFORM TRIAL FOR NEWLY DIAGNOSED AND RECURRENT GLIOBLASTOMA
Mellinghoff, Ingo K. , Berry, Donald A. , Buxton, Meredith , Colman, Howard , Gordon, Gary, Lassman, Andrew B. , Lim, Michael , Perry, James , Wen, Patrick Y. , Yung, W.K. Alfred , Berry, Nicholas , Graves, Todd, Detry, Michelle A. , Hyddmark, Emma Maria Viktoria, Johnsson, Adam, Kling, Heather M., Powell, Ashley A., Untch, Sarah, Aquilanti, Elisa , Blondin, Nicholas, Boulmay, Brian C., Fuente, Macarena de la, Lobbous, Mina , Mikkelsen, Tom , Newton, Herbert B. , Schiff, David , Sherman, Wendy, Weathers, Shiao-Pei, Friend, John, Lee, E., Mellinghoff, Ingo K , Cloughesy, Timothy F. , Alexander, Brian M. , Cavenee, Webster K. , Colman, Howard , Groot, John de , Ellingson, Benjamin M. , Khasraw, Mustafa , Sulman, Erik P. , Weller, Michael , Wen, Patrick Yung , Johnsson, Adam, McGlothlin, Anna , Powell, Ashley, Drappatz, Jan , Jordan, Justin T. , Kaley, Thomas , Owen, Scott , Peters, Katherine B. , Schiff, David, Weathers, Shiao‐Pei , Youssef, Michael , Friend, John

Mayo Clinic

Neuro-Oncology | November 22, 2024 | Volume: 26 | Issue: Supplement_8 | Pages: viii1-viii1

10.1093/neuonc/noae165.1302 Get It

Abstract GBM AGILE(NCT03970447) is a phase 2/3 Bayesian adaptive registration platform trial testing multiple therapies against a common control. Paxalisib, a PI3K/mTOR inhibitor, is the 3rd arm in the trial to conclude evaluation. METHODS Paxalisib was open to patients with newly diagnosed unmethylated (NDU) and recurrent (RD) glioblastoma, with three possible signatures: NDU, RD, and All(NDU+RD). Arm enrollment occurred Dec2020 through May2022. Control patients were enrolled from study initiation (July2019) and were treated with temozolomide(NDU) or lomustine(RD). GBM AGILE investigational arms have 1 or 2 stages, with adaptive randomization in stage 1 and fixed randomization if arms continue to stage 2. Efficacy is based on OS hazard ratio(HR) of Arm/Control. Efficacy goal is final Bayesian probability ≥ 98% for HR<1.00 in combined Stages. An Arm continues to Stage 2 if Bayesian predictive power (PP) ≥ 0.8. An Arm stops accruing in Stage 1 if it reaches maximal sample size(N) or does not meet a minimum efficacy threshold (PP<0.25 for all signatures when N>50). Clinical cut-off is 12 months after accrual stops. The maximum N for paxalisib was approximately 150(Stage 1) and 50(Stage 2). RESULTS After paxalisib reached >150 patients in Stage 1, accrual stopped [Paxalisib/control N 54/75(NDU), 100/188(RD)]. Neither PP thresholds for moving to Stage 2 nor stopping for minimum efficacy were met. Following an unplanned public disclosure that the arm did not continue to stage 2, clinical cut-off for final analysis (planned May2023) was updated to public disclosure date (August2022). At final analysis mean HRs were 0.89(NDU), 1.25(RD), 1.05(All), probabilities of HR<1.00 of 0.72(NDU), 0.076(RD), 0.398(All). Model estimated median OS paxalisib/control (months) were 14.77/13.84(NDU) and 8.58/10.06(RD). CONCLUSION Paxalisib did not show survival benefit over cumulative control in final primary analysis; additional secondary analyses are being considered. GBM AGILE continues to rapidly and efficiently assess therapies in ND and RD glioblastoma.
Enhancing neuro-oncology care through equity-driven applications of artificial intelligence
Mehari, Mulki , Sibih, Youssef , Dada, Abraham , Chang, Susan M. , Wen, Patrick Y. , Molinaro, Annette M. , Chukwueke, Ugonma , Budhu, Joshua , Jackson, Sadhana , Porter, Alyx B. , Hervey‐Jumper, Shawn L. , Budhu, Joshua A , Porter, Alyx , Hervey-Jumper, Shawn L , Jackson, Sadhana , Wen, Patrick Yung , Molinaro, Annette M. , McFaline-Figueroa, J Ricardo

Mayo Clinic

Neuro-Oncology | July 25, 2024 | Volume: 26 | Issue: 11 | Pages: 1951-1963

10.1093/neuonc/noae127 | PMID 39159285 Get It

Abstract The disease course and clinical outcome for brain tumor patients depend not only on the molecular and histological features of the tumor but also on the patient’s demographics and social determinants of health. While current investigations in neuro-oncology have broadly utilized artificial intelligence (AI) to enrich tumor diagnosis and more accurately predict treatment response, postoperative complications, and survival, equity-driven applications of AI have been limited. However, AI applications to advance health equity in the broader medical field have the potential to serve as practical blueprints to address known disparities in neuro-oncologic care. In this consensus review, we will describe current applications of AI in neuro-oncology, postulate viable AI solutions for the most pressing inequities in neuro-oncology based on broader literature, propose a framework for the effective integration of equity into AI-based neuro-oncology research, and close with the limitations of AI.
DNA damage response in brain tumors: A Society for Neuro-Oncology consensus review on mechanisms and translational efforts in neuro-oncology
Rahman, Rifaquat , Haas‐Kogan, Daphne A. , D’Andrea, Alan D. , Tanner, Kirk, Agar, Nathalie Y.R. , Wen, Patrick Y. , Wen, Patrick Yung , Agar, Nathalie Y R , D'Andrea, Alan , Shi, Diana D. , Reitman, Zachary J. , Hamerlik, Petra , Groot, John de , Sulman, Erik P. , Sarkaria, Jann N. , Tinkle, Christopher L , Bindra, Ranjit S. , Mehta, Minesh P.

Mayo Clinic

Neuro-Oncology | April 3, 2024 | Volume: 26 | Issue: 8 | Pages: 1367-1387

10.1093/neuonc/noae072 | PMID 38770568 Get It

Abstract DNA damage response (DDR) mechanisms are critical to maintenance of overall genomic stability, and their dysfunction can contribute to oncogenesis. Significant advances in our understanding of DDR pathways have raised the possibility of developing therapies that exploit these processes. In this expert-driven consensus review, we examine mechanisms of response to DNA damage, progress in development of DDR inhibitors in IDH-wild-type glioblastoma and IDH-mutant gliomas, and other important considerations such as biomarker development, preclinical models, combination therapies, mechanisms of resistance and clinical trial design considerations.
Radioligand therapies in meningioma: Evidence and future directions
Mair, Maximilian J. , Wen, Patrick Y. , Preusser, Matthias , Albert, Nathalie L. , Wen, Patrick Yung , Preusser, Matthias , Tabouret, Emeline , Johnson, Derek R. , Sulman, Erik P.

Mayo Clinic

Neuro-Oncology | March 29, 2024 | Volume: 26 | Issue: Supplement_9 | Pages: S215-S228

10.1093/neuonc/noae069 | PMID 38702966 Get It

Abstract Meningiomas are the most common intracranial neoplasms in adults. While most meningiomas are cured by resection, further treatment by radiotherapy may be needed, particularly in WHO grades 2 and 3 tumors which have an increased risk of recurrence, even after conventional therapies. Still, there is an urgent need for novel therapeutic strategies after the exhaustion of local treatment approaches. Radionuclide therapies combine the specificity of tumor-specific antibodies or ligands with the cytotoxic activity of radioactive emitters. Alongside this, integrated molecular imaging allows for a noninvasive assessment of predictive biomarkers as treatment targets. Whereas the concept of “theranostics” has initially evolved in extracranial tumors such as thyroid diseases, neuroendocrine tumors, and prostate cancer, data from retrospective case series and early phase trials underscore the potential of this strategy in meningioma. This review aims to explore the available evidence of radionuclide treatments and ongoing clinical trial initiatives in meningioma. Moreover, we discuss optimal clinical trial design and future perspectives in the field, including compound- and host-specific determinants of the efficacy of “theranostic” treatment approaches.
Challenges, limitations, and pitfalls of PET and advanced MRI in patients with brain tumors: A report of the PET/RANO group
Vollmuth, Philipp, Lohmann, Philipp , Smits, Marion , Veronesi, Michael C. , Albert, Nathalie L. , Hutterer, Markus , Vogelbaum, Michael A. , Wen, Patrick Y. , Galldiks, Norbert , Lohmann, Philipp , Smits, Marion , Soffietti, Riccardo , Weller, Michael , Kaufmann, Timothy J. , Vollmuth, Philipp, Langen, Karl‐Josef , Rudà, Roberta , Hattingen, Elke , Law, Ian G. , Soffietti, Riccardo , Wen, Patrick Yung , Tonn, Joerg-Christian

Mayo Clinic

Neuro-Oncology | March 11, 2024 | Volume: 26 | Issue: 7 | Pages: 1181-1194

10.1093/neuonc/noae049 | PMID 38466087 Get It

Abstract Brain tumor diagnostics have significantly evolved with the use of positron emission tomography (PET) and advanced magnetic resonance imaging (MRI) techniques. In addition to anatomical MRI, these modalities may provide valuable information for several clinical applications such as differential diagnosis, delineation of tumor extent, prognostication, differentiation between tumor relapse and treatment-related changes, and the evaluation of response to anticancer therapy. In particular, joint recommendations of the Response Assessment in Neuro-Oncology (RANO) Group, the European Association of Neuro-oncology, and major European and American Nuclear Medicine societies highlighted that the additional clinical value of radiolabeled amino acids compared to anatomical MRI alone is outstanding and that its widespread clinical use should be supported. For advanced MRI and its steadily increasing use in clinical practice, the Standardization Subcommittee of the Jumpstarting Brain Tumor Drug Development Coalition provided more recently an updated acquisition protocol for the widely used dynamic susceptibility contrast perfusion MRI. Besides amino acid PET and perfusion MRI, other PET tracers and advanced MRI techniques (e.g. MR spectroscopy) are of considerable clinical interest and are increasingly integrated into everyday clinical practice. Nevertheless, these modalities have shortcomings which should be considered in clinical routine. This comprehensive review provides an overview of potential challenges, limitations, and pitfalls associated with PET imaging and advanced MRI techniques in patients with gliomas or brain metastases. Despite these issues, PET imaging and advanced MRI techniques continue to play an indispensable role in brain tumor management. Acknowledging and mitigating these challenges through interdisciplinary collaboration, standardized protocols, and continuous innovation will further enhance the utility of these modalities in guiding optimal patient care.
Defining interventions and metrics to improve diversity in CNS clinical trial participation: A SNO and RANO effort
Budhu, Joshua , Chukwueke, Ugonma , Jackson, Sadhana , Lee, Eudocia Q. , Willmarth, Nicole E. , Dalmage, Mahalia , Arons, David, Chang, Susan M. , Hervey‐Jumper, Shawn L. , Wen, Patrick Y. , Porter, Alyx B. , Galanis, Evanthia , Jackson, Sadhana , Budhu, Joshua A , McFaline-Figueroa, J Ricardo , Kawachi, Ichiro , Galanis, Evanthia , Wen, Patrick Yung

Mayo Clinic

Neuro-Oncology | December 8, 2023 | Volume: 26 | Issue: 4 | Pages: 596-608

10.1093/neuonc/noad242 | PMID 38071654 Get It

Abstract Despite major strides in cancer research and therapy, these advances have not been equitable across race and ethnicity. Historically marginalized groups (HMG) are more likely to have inadequate preventive screening, increased delays in diagnosis, and poor representation in clinical trials. Notably, Black, Hispanic, and Indigenous people represent 30% of the population but only 9% of oncology clinical trial participants. As a result, HMGs lack equitable access to novel therapies, contradicting the principle of distributive justice, as enshrined in the Belmont report, which demands the equitable selection of subjects in research involving human subjects. The lack of clinical trial diversity also leads to low generalizability and potentially harmful medical practices. Specifically, patients with brain cancer face unique barriers to clinical trial enrollment and completion due to disease-specific neurologic and treatment-induced conditions. Collectively, the intersection of these disease-specific conditions with social determinants of health fosters a lack of diversity in clinical trials. To ameliorate this disparity in neuro-oncology clinical trial participation, we present interventions focused on improving engagement of HMGs. Proposals range from inclusive trial design, decreasing barriers to care, expanding trial eligibility, access to tumor profiling for personalized medical trials, setting reasonable metrics and goals for accrual, working with patient community stakeholders, diversifying the neuro-oncology workforce, and development of tools to overcome biases with options to incentivize equity. The diversification of participation amongst neuro-oncology clinical trials is imperative. Equitable access and inclusion of HMG patients with brain tumors will not only enhance research discoveries but will also improve patient care.
The Neurologic Assessment in Neuro-Oncology (NANO) Scale: A Tool to Assess Neurologic Function for Integration in the Radiologic Assessment in Neuro-Oncology (RANO) Criteria (S22.005)
Nayak, Lakshmi , Wen, Patrick Y. , Chamberlain, Marc C. , MacDonald, David , Perry, James , Jaeckle, Kurt A. , Reardon, David A. , DeAngelis, Lisa M. , Wen, Patrick Yung , Brandes, Alba Ariela , Soffietti, Riccardo , Lin, Nancy U. , Peereboom, David M. , Galanis, Evanthia , Mehta, Minesh P. , Stupp, Roger , Bent, Martin J. van den

Mayo Clinic

Neurology | December 7, 2023 | Volume: 82 | Issue: 10_supplement | Pages: No page available

10.1212/wnl.82.10_supplement.s22.005 Get It

CTNI-17. APPLICATION OF THE GBM-X DATA PLATFORM TO ESTIMATE TREATMENT EFFECTS OF THE EXPERIMENTAL THERAPIES OF THE RANDOMIZED PHASE 2 INDIVIDUALIZED SCREENING TRIAL OF INNOVATIVE GLIOBLASTOMA THERAPIES
Rahman, Rifaquat , Trippa, Lorenzo , Fell, Geoffrey, Lee, Eudocia Q. , Arrillaga‐Romany, Isabel , Welch, Mary , Colman, Howard , Hepel, Jaroslaw T., Elinzano, Heinrich, Schiff, David , Chukwueke, Ugonma , Nayak, Lakshmi , Batchelor, Tracy T. , Rinne, Mikael L. , Lu‐Emerson, Christine , Haas‐Kogan, Daphne A. , Cagney, Daniel , Aizer, Ayal A. , Doherty, Lisa, Reardon, David A. , Wen, Patrick Y. , Fell, Geoffrey G. , Arrillaga‐Romany, Isabel , Touat, Mehdi , Drappatz, Jan , Galanis, Evanthia , Ahluwalia, Manmeet S. , Colman, Howard , Nabors, Burt , Beroukhim, Rameen , McFaline-Figueroa, J Ricardo , Kaley, Thomas , Mellinghoff, Ingo K. , Bi, Wenya Linda , Arnaout, Omar M. , Peruzzi, Pier Paolo , Tanguturi, Shyam K , Santagata, Sandro , Meredith, David M. , Chiocca, E Antonio , Alexander, Brian M. , Ligon, Keith L , Wen, Patrick Yung

Mayo Clinic

Neuro-Oncology | November 11, 2023 | Volume: 25 | Issue: Supplement_5 | Pages: v76-v77

10.1093/neuonc/noad179.0299 Get It

Abstract BACKGROUND Leveraging external data has the potential to increase efficiency and precision of drug development in glioblastoma by complementing or replacing data from in-trial controls. We used an external control arm (ECA) to re-analyze data of the abemaciclib, neratinib and CC-115 arms of the Individualized Screening Trial of Innovative Glioblastoma Therapy (INSIGhT) trial. METHODS INSIGhT (NCT02977780) is an ongoing phase 2 adaptive platform trial in newly diagnosed MGMT unmethylated glioblastoma with a shared control arm of patients receiving radiation therapy with concurrent and maintenance temozolomide. The initial experimental arms (abemaciclib, neratinib, CC-115) have not shown a survival benefit relative to the shared control arm. We re-analyzed the experimental arm data and replaced the shared control arm with an ECA. The ECA was developed from a collection of trial datasets and real-world data available through the Glioblastoma External (GBM-X) Data Platform (). Propensity score matching was used to adjust for possible differences between pretreatment covariates (age, sex, resection, KPS) in the ECA and shared control arm. Cox proportional hazards models were used to estimate treatment effects. RESULTS On INSIGhT, patients were randomized to abemaciclib (n = 74), neratinib (n = 80), and CC-115 (n = 12). There were 687 unmethylated MGMT patients in the GBM-X ECA. After propensity score matching, there was no significant treatment effect associated with abemaciclib (HR 1.091, 95%CI:0.834-1.433, p = 0.536), neratinib (HR = 1.043, 95%CI:0.787-1.383, p = 0.770), or CC-115 (HR 1.088, 95%CI:0.834-1.433, p = 0.794) compared to the ECA. CONCLUSION In comparison to an ECA, there was no significant survival benefit with abemaciclib, neratinib and CC-115. Treatment effects estimates were similar to the primary analyses based on the original shared control arm of INSIGhT. The use of external control arms in early phase testing of new therapies is supported by our findings and could significantly reduce costs and time to conduct trials in newly diagnosed glioblastoma.
TMET-02. CLINICAL EFFICACY OF ONC201 IN H3K27M-MUTANT DIFFUSE MIDLINE GLIOMAS IS DRIVEN BY DISRUPTION OF INTEGRATED METABOLIC AND EPIGENETIC PATHWAYS
Venneti, Sriram , Sweha, Stefan R. , Pun, Matthew , Wen, Patrick Y. , Arrillaga‐Romany, Isabel , Garton, Hugh , Franson, Andrea , Schwartz, Jonathan , Mottl, Sophie L. , Cartaxo, Rodrigo T. , John, Vishal , Messinger, Dana , Judkins, Alexander R. , Wahl, Daniel , Lyssiotis, Costas A. , Alonso, Martha, Cain, Jason E. , Jiang, Li , Mody, Rajen , Kline, Cassie , Mueller, Sabine , Allen, Joshua E. , Franson, Andrea , Lyssiotis, Costas A , Kawakibi, Abed Rahman , Ji, Sunjong , Waszak, Sebastian M. , Mota, Mateus , Deogharkar, Akash , Chung, Chan , Tarapore, Rohinton S. , Ramage, Samuel , Wen, Patrick Yung , Arrillaga‐Romany, Isabel , Jain, Rajan , Qin, Tingting , Peterson, Erik, Sajjakulnukit, Peter , Nava, Daniel de la , Duchatel, Ryan J , Dun, Matthew D , Filbin, Mariella G , Zhao, Lili , Kumar-Sinha, Chandan , Chinnaiyan, Arul , Kurokawa, Ryo , Pratt, Drew , Yadav, Viveka Nand , Grill, Jacques , Resnick, Adam , Nazarian, Javad , Odia, Yazmín , Gardner, Sharon L , Koschmann, Carl

Mayo Clinic

Neuro-Oncology | November 11, 2023 | Volume: 25 | Issue: Supplement_5 | Pages: v272-v272

10.1093/neuonc/noad179.1046 Get It

Abstract H3K27M-mutant diffuse midline glioma (DMG) patients have no proven effective therapies beyond radiation. ONC201, a mitochondrial protease ClpP agonist, has recently demonstrated efficacy in these patients, but the mechanism behind this remains unknown. We assessed clinical outcomes, tumor sequencing, and tissue samples from patients treated in two completed multi-site clinical studies (n=71). Patients treated with ONC201 monotherapy following initial radiation but prior to recurrence (n=35) demonstrated a median overall survival of 21.7 months and a median progression-free survival of 12.2 months. Radiographic response was associated with increased expression of key tricarboxylic acid cycle-related genes in baseline tumor sequencing. Similar survival benefits were observed using in utero electroporation and orthotopic mouse models of H3K27M-DMG (median 107 versus 77 days [p=0.02] and median 97 versus 141 days [p=0.004], respectively). Integrated transcriptomic and metabolomic analysis of ONC201-treated H3K27M-DMG cells revealed downregulation of TCA cycle, glycolysis, and pyruvate metabolism genes, most notably oxoglutarate dehydrogenase (OGDH), and concomitant changes in levels of associated metabolites including ɑ-ketoglutarate (ɑ-KG). Interestingly, L-2-hydroxyglutarate (L-2HG), a known inhibitor of the Jumonji C domain family of histone lysine demethylases, was also increased. This corresponded with increases in repressive H3K27me3 in vitro and in human tumors accompanied by epigenetic downregulation of cell cycle regulation and neuro-glial differentiation genes. Genetic knockdown of OGDH recapitulated ONC201-mediated increases in H3K27me3. In contrast, genetic knockdown of ClpP or lactate dehydrogenase A or overexpression of L-2-hydroxyglutarate dehydrogenase (L-2HGDH), but not D-2HGDH, abrogated ONC201-mediated increases in H3K27me3, demonstrating that ONC201 induces the production of L-2HG in H3K27M-DMG cells leading to increased H3K27me3. Overall, our data demonstrates the efficacy of ONC201 in H3K27M-mutant DMG and supports ONC201 as the first monotherapy to improve outcomes in patients with H3K27M-mutant DMG for whom few therapeutic options currently exist. Mechanistically, ONC201 disrupts integrated metabolic and epigenetic pathways and reverses pathognomonic H3K27me3 reduction.
CTNI-41. PHASE II AND PHASE 0 RESULTS OF ABTC 1801: A MULTI-ARM CLINICAL TRIAL OF THE PARP INHIBITOR PAMIPARIB WITH VERY LOW DOSE METRONOMIC TEMOZOLOMIDE IN RECURRENT IDH MUTANT GLIOMAS
Schiff, David , Li, Jing , Ye, Xiaobu , Walbert, Tobias , Campian, Jian , Lieberman, Frank S. , Ozer, Byram H. , Desai, Arati , Wen, Patrick Y. , Desideri, Serena , Danda, Neeraja , Schiff, David, Bindra, Ranjit S. , Ellingson, Benjamin M. , Nabors, Burt , Omuro, Antonio , Wen, Patrick Yung , Grossman, Stuart A.

Mayo Clinic

Neuro-Oncology | November 11, 2023 | Volume: 25 | Issue: Supplement_5 | Pages: v84-v84

10.1093/neuonc/noad179.0323 Get It

Abstract BACKGROUND Preclinical studies have demonstrated that IDH1-mutant (IDHmt) gliomas harbor a BRCAness phenotype with a defect in homologous recombination that confers PARP inhibitor sensitivity. METHODS The phase II component of ABTC 1801 examined the efficacy of the combination of pamiparib (BeiGene BGB-290) with low dose metronomic temozolomide in recurrent IDHmt grade 2 and 3 gliomas. In this two-stage design, Arm A enrolled patients who had failed two lines and Arm B a single line of alkylator therapy. Pamiparib and temozolomide doses based on phase I results was 60 mg BID and 20 mg daily. Primary endpoint was objective response rate (ORR). RESULTS 39 patients (Arm A 15, Arm B 24) enrolled in the phase II. Median age was 45 (range: 25-69), 56% male, and median KPS 90. 72% of tumors were MGMT methylated. There were no confirmed responses in Arm A and one in Arm B; neither arm met the threshold for additional accrual. One-third of subjects discontinued treatment for reasons other than progressive disease. Estimated median PFS was 5.8 months in Arm A and 11.3 months in Arm B. Seven subjects (Arm A 3, Arm B 4) developed DLT during treatment. Grade 3+ toxicity was principally hematologic; 9 patients had grade 3 anemia, 7 grade 3 and 3 grade 4 neutropenia, and 3 grade 3 thrombocytopenia. In enhancing and non-enhancing tumors from 8 surgical arm patients, median unbound drug tumor/plasma ratios were 0.98 and 0.92, respectively; and median unbound pamiparib tumor concentrations were 209 and 188 nmol/L (or nmol/kg), respectively, which were >20-fold the in vitro IC50 for PARP inhibition. CONCLUSIONS While pamiparib appeared to achieve sufficient pharmacologically active concentrations in both enhancing and non-enhancing tumors, combination with temozolomide did not produce a meaningful ORR in IDHmt recurrent gliomas. Cumulative hematologic toxicity was substantial.