Yuan, Ying

Abstract Background Medulloblastoma in adults is rare and treatment decisions are largely driven from pediatric literature. We sought to characterize recurrent medulloblastoma in adults. Methods From a single-institution dataset of 200 adult patients diagnosed with medulloblastoma during 1978–2017, those with recurrence were analyzed for clinical features, treatment, and outcome. Results Of the 200 patients, 82 (41%) with median age of 29 years (18–59) had recurrence after a median follow-up time of 8.4 years (95% CI = 7.1, 10.3). Of these, 30 (37%) were standard-risk, 31 (38%) were high-risk, and 21 (26%) had unknown-risk diseases at the time of initial diagnosis. Forty-eight (58%) presented with recurrence outside the posterior fossa, of whom 35 (43%) had distant recurrence only. Median Progression-free survival (PFS) and OS from initial surgery were 33.5 and 62.4 months, respectively. Neither PFS nor OS from initial diagnosis differed between the standard-risk and high-risk groups in those who experience recurrence (P = .505 and .463, respectively). Median OS from first recurrence was 20.3 months, also with no difference between the standard-risk and high-risk groups (P = .518). Recurrences were treated with combinations of re-resection (20 patients; 25%), systemic chemotherapy (61 patients; 76%), radiation (29 patients; 36%), stem cell transplant (6 patients; 8%), and intrathecal chemotherapy (4 patients; 5%). Patients who received radiation at recurrence had better OS (32.9 months) than those who did not (19.2 months) (P = .034). Conclusions Recurrent medulloblastoma in adults has a poor prognosis irrespective of initial risk stratification. Recurrence commonly arises outside the posterior fossa years after initial diagnosis.

AbstractBackgroundAdult medulloblastoma (MB) is rare, and management guidelines are largely based on pediatric clinical trials and retrospective series. Limited data exist with respect to clinical characteristics, prognostic factors, and outcomes based on first-line treatments.MethodsTwo hundred adults with MB seen at a single institution from January 1978 to April 2017 were identified and followed for a median of 8.4 y (7.1, 10.3).ResultsPatient’s median age at diagnosis was 29 y (18, 63). One hundred eleven (55.5%) were standard-risk, 59 (29.5%) were high-risk, and 30 (15.0%) were indeterminate. Most received post-operative radiation (RT) (184 [92.0%]), and 105 (52.5%) received first-line chemotherapy. Median overall survival (OS) was 8.8 y (7.2, 12.2) and median progression-free survival (PFS) was 6.6 y (4.9, 11.2). High-risk patients had inferior OS (Hazard ratio [HR] = 2.5 [1.5, 4.2], P = .0006) and PFS (HR = 2.3 [1.3, 3.9], P = .002) compared to standard-risk patients. Age, sex, and metastatic disease were not associated with survival. After adjusting for risk status, those who received RT plus adjuvant chemotherapy had superior PFS compared to RT plus neoadjuvant chemotherapy [HR = 0.46 (0.22, 0.95), P = .0357]. Within a subgroup for whom detailed clinical data were available, those who received RT plus adjuvant chemotherapy had improved PFS compared to RT only [HR = 0.24 (0.074–0.76), P = .016]. The substitution of cisplatin for carboplatin and the elimination of vincristine did not negatively affect outcomes.ConclusionThis is the largest single-institution retrospective study of adult MB to our knowledge and identifies standard-risk status, first-line RT and adjuvant chemotherapy as factors associated with improved outcomes.

Given the Food and Drug Administration's (FDA's) acceptance of master protocol designs in recent guidance documents, the oncology field is rapidly moving to address the paradigm shift to molecular subtype focused studies. Identifying new “marker‐based” treatments requires new methodologies to address the growing demand to conduct clinical trials in smaller molecular subpopulations, identify effective treatment and marker interactions, and control for false positives. We introduce our methodology, Hierarchical Bayesian Clustering Design of Multiple Biomarker Subgroups (HCOMBS), a two‐stage umbrella Phase II design with effect size clustering and information borrowing across multiple biomarker‐treatment pairs. HCOMBS was designed to reduce required sample size, differentiate between varying effect sizes, and control for operating characteristics in the multi‐arm setting. When compared to independently applied Simon's Optimal two‐stage design, we showed through simulations that HCOMBS required less participants per treatment arm with a well‐controlled family‐wise error rate and desirable marginal power. Additionally, HCOMBS features a statistical approach that simultaneously conducts clustering and hypothesis testing in one step. We also applied the proposed design on the alliance brain metastases umbrella trial.

Abstract Background Infection occurs in ~1–2% of prosthetic joint replacement surgeries, with staphylococci being the most common cause. TNP-2092 is an investigational drug composed of rifamycin and quinolizinone pharmacophores conjugated via a stable linker. Here, we determined TNP-2092’s in vitro activity against biofilms formed by staphylococci associated with prosthetic joint infection and compared activity to that of ciprofloxacin and rifampin alone and in combination, as well as to daptomycin and vancomycin. Methods A total of 80 staphylococcal isolates (40 Staphylococcus aureus and 40 Staphylococcus epidermidis) were studied. Planktonic state minimum inhibitory concentrations (MICs) of TNP-2092, ciprofloxacin, rifampin, ciprofloxacin + fixed concentration (1 mg/mL) rifampin, daptomycin and vancomycin were determined following CLSI guidelines. Tween-80（0.002%）was added to TNP-2092 to prevent drug binding to plastic plates. Minimum biofilm inhibitory concentrations (MBICs) and minimum biofilm bactericidal concentration (MBBCs) were determined as follows. Bacteria were grown in TSB to logarithmic phase and adjusted to a turbidity of 0.5 McFarland; 150 µL aliquots were transferred to individual wells of 96-well flat-bottom plates and the plates covered with 96-pegged lids. Plates were incubated on a shaker for 5 hours at 37℃. Pegged lids were rinsed using 200 µL PBS/well and placed into a microtiter plate containing serial 2-fold drug dilutions in CAMHB Plates were incubated for 20–24 hours at 37°C and MBICs read by visual turbidity. Pegged lids were rinsed with PBS and placed into plates filled with 200 µL CAMHB/well and incubated for 20–24 hours at 37°C after which MBBCs were determined by assessing visual turbidity. Results Results shown in the table. Conclusion TNP-2092 has promising in vitro activity against prosthetic joint infection-associated staphylococcal biofilms. Disclosures Robin Patel, MD, ASM and IDSA: Other Financial or Material Support, Travel reimbursement, editor’s stipends; CD Diagnostics, Merck, Hutchison Biofilm Medical Solutions, Accelerate Diagnostics, ContraFect, TenNor Therapeutics Limited, Shionogi: Grant/Research Support; Curetis, Specific Technologies, NextGen Diagnostics, PathoQuest, Qvella: Consultant; NBME, Up-to-Date, the Infectious Diseases Board Review Course: Honorarium recipient, Other Financial or Material Support; Patent on Bordetella pertussis/parapertussis PCR issued, a patent on a device/method for sonication with royalties paid by Samsung to Mayo Clinic, and a patent on an anti-biofilm substance issued: Other Financial or Material Support, Patents.

Abstract Abstract 3701 Background: Salvage chemotherapy and autologous stem cell transplantation (ASCT) in the management of relapsed or refractory Hodgkin's lymphoma (HL) results in prolonged disease-free survival in only around 50% of patients (pts). Median survival following relapse from ASCT is estimated at 2.4 years, with poor outcomes in those experiencing relapse or progressive disease within one year from ASCT (Horning 2008 et al). Recently, a pivotal multicenter Phase 2 trial investigated the efficacy of brentuximab vedotin (BV) in pts with recurrent HL following ASCT. The study demonstrated an overall response rate of 75% and median duration of response of 6.7 months. Furthermore, 34% of patients achieved a complete response (CR), with a median progression free survival of 29 months (mos). Whether treatment with BV renders an OS benefit in pts with relapsed or refractory disease after ASCT remains to be determined. Objective: 1) To compare OS in pts with relapsed HL after receiving ASCT in a cohort of 102 HL pts treated with BV, with 756 pts from 6 international centers before the introduction of BV. 2) To evaluate predictors of durable CR in pts treated with BV. Methods: Kaplan-Meier method was used to depict time-to-event outcomes, including OS. The Chi-square test was used to evaluate the association between two categorical variables and log-rank test to compare time-to-event endpoints among pt groups. Based on the univariate proportional hazard model, we examined whether certain variables (sex, stage at diagnosis, number of prior treatments, and time to CR) were predictors of CR duration in pts receiving BV. Results: In the non-randomized comparison between those with relapsed-refractory HL following ASCT who received BV and those who did not, pts were well matched by age, with a relatively higher percentage of females treated on the pivotal study. Dates of progression from ASCT ranged from 1996–2009 in the BV group and 1981–2003 in the international cohort. Median follow-up after ASCT for the censored observations of pts who received BV and those in the international cohort was 49.4 and 58.8 mos. The difference in median OS was statistically significant (p<0.0001) between those receiving BV and those not exposed to the drug (91.49 vs. 27.99 mos). Improvement in OS was irrespective of time to relapse from ASCT, despite previous studies noting a higher risk of recurrence in pts relapsing within 12 mos of ASCT (Sureda 2005 et al). Neither age nor sex was found to impact OS. In the subgroup analysis of pts achieving a CR with BV, univariate analysis of duration of CR and PFS uncovered no significant factors, while only stage of disease at initial diagnosis had a significant effect on OS (P=0.0004). Disease status characterized as relapsed vs. refractory had borderline significance with a positive impact on OS (P=0.0581). No significant associations were noted between the variables and duration of response post BV stratified into periods of less or greater than 12 mos. However, among those pts who experienced a duration of CR greater than 12 mos, 81.8% (n=18) had an initial CR after receiving ≤ 4 doses of BV, compared with 58.3% entering CR after receiving > 4 doses. Conclusions: While the impact of BV on OS can only be determined through a randomized clinical trial, our analysis indicated that treatment with BV in pts with relapsed/refractory HL following ASCT is associated with prolonged OS when compared with historical control patients. Those who achieve a rapid CR with BV may also have a longer duration of response. A randomized clinical trial is ongoing to evaluate prospectively the efficacy of BV following ASCT. Disclosures: Chen: Seattle Genetics, Inc.: Consultancy, Research Funding, Speakers Bureau. Gopal:Seattle Genetics, Inc.: Consultancy, Honoraria, Research Funding. Ansell:Seattle Genetics, Inc.: Research Funding; Celgene: Consultancy. Savage:Seattle Genetics, Inc.: Consultancy, Honoraria, Research Funding. Ramchandren:Seattle Genetics, Inc.: Speakers Bureau. Forero-Torres:Seattle Genetics: Research Funding. Moskowitz:Seattle Genetics: Speakers Bureau. Connors:Seattle Genetics, Inc.: Research Funding. de Vos:Seattle Genetics: Speakers Bureau. Engert:Takeda: Honoraria, Research Funding; Millennium: Honoraria, Research Funding. Illidge:Seattle Genetics, Inc.: Consultancy, Research Funding; Millennium/Takeda: Consultancy, Honoraria. Morschhauser:Takeda: Honoraria. Younes:Seattle Genetics: Honoraria.

Abstract Pancreatogenic diabetes mellitus is most commonly the result of chronic pancreatitis but can also occur secondary to pancreatic cancer. The early identification of pancreatogenic diabetes and distinction from the more prevalent type 2 diabetes are clinically significant; however, currently, there is no validated method to differentiate these diabetes subtypes. We describe a study, “Evaluation of a Mixed Meal Test for Diagnosis and Characterization of PancrEaTogEniC DiabeTes Secondary to Pancreatic Cancer and Chronic Pancreatitis: the DETECT study,” that seeks to address this knowledge gap. The DETECT study is a multicenter study that will examine differences in hormone and glucose excursions after a mixed meal test. The study will also create a biorepository that will be used to evaluate novel diagnostic biomarkers for differentiating these diabetes subtypes.

SummaryThe landscape of oncology drug development has recently changed with the emergence of molecularly targeted agents and immunotherapies. These new therapeutic agents appear more likely to induce multiple low or moderate grade toxicities rather than dose limiting toxicities. Various model-based dose finding designs and toxicity severity scoring systems have been proposed to account for toxicity grades, but they are difficult to implement because of the use of complicated dose–toxicity models and the requirement to refit the model at each decision of dose escalation and de-escalation. We propose a generalized Bayesian optimal interval design, gBOIN, that accommodates various existing toxicity grade scoring systems under a unified framework. As a model-assisted design, gBOIN derives its optimal decision rule on the basis of the exponential family of distributions but is carried out in a simple way as the algorithm-based design: its decision of dose escalation and de-escalation involves only a simple comparison of the sample mean of the end point with two prespecified dose escalation and de-escalation boundaries. No model fitting is needed. We show that gBOIN has the desirable finite property of coherence and a large sample property of consistency. Numerical studies show that gBOIN yields good performance that is comparable with or superior to that of some existing, more complicated model-based designs. A Web application for implementing gBOIN is freely available from http://www.trialdesign.org.

Abstract The primary objective of phase I oncology trials is to find the MTD. The 3+3 design is easy to implement but performs poorly in finding the MTD. A newer design, such as the modified toxicity probability interval (mTPI) design, provides better accuracy to identify the MTD but tends to overdose patients. We propose the keyboard design, an intuitive Bayesian design that conducts dose escalation and de-escalation based on whether the strongest key, defined as the dosing interval that most likely contains the current dose, is below or above the target dosing interval. The keyboard design can be implemented in a simple way, similar to the traditional 3+3 design, but provides more flexibility for choosing the target toxicity rate and cohort size. Our simulation studies demonstrate that compared with the 3+3 design, the keyboard design has favorable operating characteristics in terms of identifying the MTD. Compared with the mTPI design, the keyboard design is safer, with a substantially lower risk of treating patients at overly toxic doses, and has the better precision to identify the MTD, thereby providing a useful upgrade to the mTPI design. Software freely available at http://www.trialdesign.org facilitates the application of the keyboard design. Clin Cancer Res; 23(15); 3994–4003. ©2017 AACR. See related commentary by Paoletti et al., p. 3977