Literature DB >> 26987624

Precision oncology: A new era of cancer clinical trials.

Lindsay A Renfro1, Ming-Wen An2, Sumithra J Mandrekar3.   

Abstract

Traditionally, site of disease and anatomic staging have been used to define patient populations to be studied in individual cancer clinical trials. In the past decade, however, oncology has become increasingly understood on a cellular and molecular level, with many cancer subtypes being described as a function of biomarkers or tumor genetic mutations. With these changes in the science of oncology have come changes to the way we design and perform clinical trials. Increasingly common are trials tailored to detect enhanced efficacy in a patient subpopulation, e.g. patients with a known biomarker value or whose tumors harbor a specific genetic mutation. Here, we provide an overview of traditional and newer biomarker-based trial designs, and highlight lessons learned through implementation of several ongoing and recently completed trials.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Adaptive design; Biomarker-based design; Clinical trial; Oncology

Mesh:

Substances:

Year:  2016        PMID: 26987624      PMCID: PMC5023449          DOI: 10.1016/j.canlet.2016.03.015

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  35 in total

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Review 2.  Clinical trial designs for predictive marker validation in cancer treatment trials.

Authors:  Daniel J Sargent; Barbara A Conley; Carmen Allegra; Laurence Collette
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Review 3.  ALCHEMIST: Bringing genomic discovery and targeted therapies to early-stage lung cancer.

Authors:  D E Gerber; G R Oxnard; R Govindan
Journal:  Clin Pharmacol Ther       Date:  2015-04-03       Impact factor: 6.875

4.  Disease control rate at 8 weeks predicts clinical benefit in advanced non-small-cell lung cancer: results from Southwest Oncology Group randomized trials.

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6.  Wild-type KRAS is required for panitumumab efficacy in patients with metastatic colorectal cancer.

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3.  Exome Sequencing Identifies Potentially Druggable Mutations in Nasopharyngeal Carcinoma.

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4.  Bayesian adaptive trial design for a continuous biomarker with possibly nonlinear or nonmonotone prognostic or predictive effects.

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Review 8.  Application of Multimodality Imaging Fusion Technology in Diagnosis and Treatment of Malignant Tumors under the Precision Medicine Plan.

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9.  Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer.

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10.  Comparison of Joint and Landmark Modeling for Predicting Cancer Progression in Men With Castration-Resistant Prostate Cancer: A Secondary Post Hoc Analysis of the PREVAIL Randomized Clinical Trial.

Authors:  Antonio Finelli; Tomasz M Beer; Simon Chowdhury; Christopher P Evans; Karim Fizazi; Celestia S Higano; Janet Kim; Lisa Martin; Fred Saad; Olli Saarela
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