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Lin Y, Dong H, Deng W, Lin W, Li K, Xiong X, et al. Stat Methods Med Res. Evaluation of tumor size response metrics to predict overall survival in Western and Chinese patients with first-line metastatic colorectal cancer. Food and Drug Administration. A model of overall survival predicts treatment outcomes with atezolizumab versus chemotherapy in non-small cell lung cancer based on early tumor kinetics. Rent or buy this article. Development as a concept. Gong Y, Mason J, Shen YL, Chang E, Kazandjian D, Blumenthal GM, et al. Chatelut E, Hendrikx JJMA, Martin J, Ciccolini J, Moes DJAR. Get answers and explanations from our Expert Tutors, in as fast as 20 minutes. JG declares no competing interests. These pharmacological endpoints like tumour dynamic (tumour growth inhibition) metrics have been proposed as alternative endpoints to complement the classical RECIST endpoints (objective response rate, progression-free survival) to support early decisions both at the study level in drug development as well as at the patients level in personalised therapy with checkpoint inhibitors.
A pan-indication machine learning (ML) model for tumor growth inhibition—overall survival (TGI-OS) prediction. Ethics declarations. Progress and opportunities to advance clinical cancer therapeutics using tumor dynamic models. Sène M, Mg Taylor J, Dignam JJ, Jacqmin-Gadda H, Proust-Lima C. New concept for development. Individualized dynamic prediction of prostate cancer recurrence with and without the initiation of a second treatment: development and validation. Comparing circulating tumor cell counts with dynamic tumor size changes as predictor of overall survival: a quantitative modeling framework. Bruno R, Marchand M, Yoshida K, Chan P, Li H, Zhu W, et al.
Chan P, Zhou X, Wang N, Liu Q, Bruno R, Jin YJ. All authors but JG are Roche employees and hold Roche stocks. Support to early clinical decisions in drug development and personalised medicine with checkpoint inhibitors using dynamic biomarker-overall survival models | British Journal of Cancer. Role of Modelling and Simulation in Regulatory Decision Making in Europe. Early modeled longitudinal CA-125 kinetics and survival of ovarian cancer patients: a GINECO AGO MRC CTU study. Stuck on something else? Janssen JM, Verheijen RB, van Duijl TT, Lin L, van den Heuvel MM, Beijnen JH, et al.
Multistate pharmacometric model to define the impact of second-line immunotherapies on the survival outcome of IMpower131 study. Food and Drug Administration Oncologic Drugs Advisory Committee, April 27-29, 2021.. Accessed October 27, 2022. J Clin Oncol Precision Oncol. A review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis. Concept of development wikipedia. Beyer U, Dejardin D, Meller M, Rufibach K, Burger HU. Mushti SL, Mulkey F, Sridhara R. Evaluation of overall response rate and progression-free survival as potential surrogate endpoints for overall survival in immunotherapy trials. Competing interests. A multistate model for early decision-making in oncology. Received: Revised: Accepted: Published: DOI: Ribba B, Holford NH, Magni P, Troconiz I, Gueorguieva I, Girard P, et al. Modeling tumor evolutionary dynamics to predict clinical outcomes for patients with metastatic colorectal cancer: a retrospective analysis.
Additional information. Weber S, van der Leest P, Donker HC, Schlange T, Timens W, Tamminga M, et al. Bratman SV, Yang SYC, Lafolla MAJ, Liu Z, Hansen AR, Bedard PL, et al. CPT Pharmacomet Syst Pharm. Mezquita L, Preeshagul I, Auclin E, Saravia D, Hendriks L, Rizvi H, et al.
Duda M, Chan P, Bruno R, Jin YJ, Lu J. Chanu P, Wang X, Li Z, Chen S-C, Samineni D, Susilo M, et al. A disease model for multiple myeloma developed using real world data. Individualized predictions of disease progression following radiation therapy for prostate cancer. Use of Circulating Tumor DNA for Early-Stage Solid Tumor Drug Development - Guidance for Industry 2022.. Accessed February 6, 2023. Bruno R, Bottino D, de Alwis DP, Fojo AT, Guedj J, Liu C, et al. Circulating tumour cells in the -omics era: how far are we from achieving the 'singularity'? New guidelines to evaluate the response to treatment in solid tumors. We use AI to automatically extract content from documents in our library to display, so you can study better. Longitudinal tumor size and neutrophil-to-lymphocyte ratio are prognostic biomarkers for overall survival in patients with advanced non-small cell lung cancer treated with durvalumab. Support to early clinical decisions in drug development and personalised medicine with checkpoint inhibitors using dynamic biomarker-overall survival models. This is a preview of subscription content, access via your institution.
Taylor JMG, Yu M, Sandler HM. Measuring response in a post-RECIST world: from black and white to shades of grey. Krishnan SM, Friberg LE, Mercier F, Zhang R, Wu B, Jin JY, et al. Maitland ML, Wilkerson J, Karovic S, Zhao B, Flynn J, Zhou M, et al. Wilkerson J, Abdallah K, Hugh-Jones C, Curt G, Rothenberg M, Simantov R, et al.
Shah M, Rahman A, Theoret MR, Pazdur R. The drug-dosing conundrum in oncology—when less is more. PAGE 2022;Abstr 9992 Funding. PAGE 2021;Abstr 9878. Lone SN, Nisar S, Masoodi T, Singh M, Rizwan A, Hashem S, et al. An FDA analysis of the association of tumor growth rate and overall and progression-free survival in metastatic non-small cell lung cancer (NSCLC) patients. A tumor growth inhibition model based on M-protein levels in subjects with relapsed/refractory multiple myeloma following single-agent carfilzomib use.
EuropeanOrganization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. Supporting decision making and early prediction of survival for oncology drug development using a pharmacometrics-machine learning based model. Prediction of overall survival in patients across solid tumors following atezolizumab treatments: a tumor growth inhibition-overall survival modeling framework. Zhou J, Liu Y, Zhang Y, Li Q, Cao Y. Receive 24 print issues and online access. Krishnan SM, Friberg LE. Mathew M, Zade M, Mezghani N, Patel R, Wang Y, Momen-Heravi F. Extracellular vesicles as biomarkers in cancer immunotherapy. Subscribe to this journal. Application of machine learning for tumor growth inhibition—overall survival modeling platform.
Sci Rep. 2022;12:4206.
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