Browsing by Subject "Progression-free survival"

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    BIPSE: A Biomarker-based Phase I/II Design for Immunotherapy Trials with Progression-free Survival Endpoint
    (Wiley, 2022) Guo, Beibei; Zang, Yong; Biostatistics and Health Data Science, School of Medicine
    A Bayesian biomarker-based phase I/II design (BIPSE) is presented for immunotherapy trials with a progression-free survival (PFS) endpoint. The objective is to identify the subgroup-specific optimal dose, defined as the dose with the best risk-benefit tradeoff in each biomarker subgroup. We jointly model the immune response, toxicity outcome, and PFS with information borrowing across subgroups. A plateau model is used to describe the marginal distribution of the immune response. Conditional on the immune response, we model toxicity using probit regression and model PFS using the mixture cure rate model. During the trial, based on the accumulating data, we continuously update model estimates and adaptively randomize patients to doses with high desirability within each subgroup. Simulation studies show that the BIPSE design has desirable operating characteristics in selecting the subgroup-specific optimal doses and allocating patients to those optimal doses, and outperforms conventional designs.
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    Molecular classification to refine surgical and radiotherapeutic decision-making in meningioma
    (Springer Nature, 2024) Wang, Justin Z.; Patil, Vikas; Landry, Alexander P.; Gui, Chloe; Ajisebutu, Andrew; Liu, Jeff; Saarela, Olli; Pugh, Stephanie L.; Won, Minhee; Patel, Zeel; Yakubov, Rebeca; Kaloti, Ramneet; Wilson, Christopher; Cohen-Gadol, Aaron; Zaazoue, Mohamed A.; Tabatabai, Ghazaleh; Tatagiba, Marcos; Behling, Felix; Almiron Bonnin, Damian A.; Holland, Eric C.; Kruser, Tim J.; Barnholtz-Sloan, Jill S.; Sloan, Andrew E.; Horbinski, Craig; Chotai, Silky; Chambless, Lola B.; Gao, Andrew; Rebchuk, Alexander D.; Makarenko, Serge; Yip, Stephen; Sahm, Felix; Maas, Sybren L. N.; Tsang, Derek S.; International Consortium on Meningiomas (ICOM); Rogers, C. Leland; Aldape, Kenneth; Nassiri, Farshad; Zadeh, Gelareh; Neurological Surgery, School of Medicine
    Treatment of the tumor and dural margin with surgery and sometimes radiation are cornerstones of therapy for meningioma. Molecular classifications have provided insights into the biology of disease; however, response to treatment remains heterogeneous. In this study, we used retrospective data on 2,824 meningiomas, including molecular data on 1,686 tumors and 100 prospective meningiomas, from the RTOG-0539 phase 2 trial to define molecular biomarkers of treatment response. Using propensity score matching, we found that gross tumor resection was associated with longer progression-free survival (PFS) across all molecular groups and longer overall survival in proliferative meningiomas. Dural margin treatment (Simpson grade 1/2) prolonged PFS compared to no treatment (Simpson grade 3). Molecular group classification predicted response to radiotherapy, including in the RTOG-0539 cohort. We subsequently developed a molecular model to predict response to radiotherapy that discriminates outcome better than standard-of-care classification. This study highlights the potential for molecular profiling to refine surgical and radiotherapy decision-making.
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    Treatment patterns and outcomes in elderly patients with newly diagnosed multiple myeloma: results from the Connect® MM Registry
    (Springer Nature, 2021-07-23) Lee, Hans C.; Ailawadhi, Sikander; Gasparetto, Cristina J.; Jagannath, Sundar; Rifkin, Robert M.; Durie, Brian G. M.; Narang, Mohit; Terebelo, Howard R.; Toomey, Kathleen; Hardin, James W.; Wagner, Lynne; Omel, James L.; Dhalla, Mazaher; Liu, Liang; Joshi, Prashant; Abonour, Rafat; Connect® MM Registry; Medicine, School of Medicine