Literature DB >> 30115512

Development of a translational medicine protocol for an NCTN genitourinary clinical trial: Critical steps, common pitfalls and a basic guide to translational clinical research.

Joshua J Meeks1, Amir Goldkorn2, Ana M Aparicio3, David J McConkey4.   

Abstract

Translational medicine (TM) components of prospective clinical trials provide an invaluable opportunity to test hypotheses that contribute to our knowledge of human disease biology and/or the mechanism of action of a given therapeutic intervention. Our ability to sample tumors and their microenvironment, and the depth and breadth of biological information that can be extracted from them, has increased exponentially in recent years. This information is critical to guide the next steps clinical research if we are to accelerate the pace of progress in cancer treatment. Thus, TM studies should be considered key components of any clinical trial. However, TM studies are costly and biologic sampling can impose significant morbidity on our patients. Therefore, TM investigators should be engaged early in the design process (similar to a statistician) to ensure that the most imperative research questions are rigourosly defined, that the obtained specimens can be used to answer them and that the results will serve as the foundation for additional studies. In this review, we focus on TM studies in the context of the National Cancer Institute's National Clinical Trials Network trials and offer a description of the genesis of TM components, methods in sample acquisition and biomarker research, and a guide to funding mechanisms, in order to provide a blueprint for future TM research protocols. While TM studies can take many forms, the research discussed primarily focusses on basic and translational research involving molecular, cellular, and immunobiology.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Translational medicine

Mesh:

Year:  2018        PMID: 30115512      PMCID: PMC6886001          DOI: 10.1016/j.urolonc.2018.06.008

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  4 in total

Review 1.  Biomarker: Predictive or Prognostic?

Authors:  Karla V Ballman
Journal:  J Clin Oncol       Date:  2015-09-21       Impact factor: 44.544

2.  Guidelines for the development and incorporation of biomarker studies in early clinical trials of novel agents.

Authors:  Janet E Dancey; Kevin K Dobbin; Susan Groshen; J Milburn Jessup; Andrew H Hruszkewycz; Maria Koehler; Ralph Parchment; Mark J Ratain; Lalitha K Shankar; Walter M Stadler; Lawrence D True; Amy Gravell; Michael R Grever
Journal:  Clin Cancer Res       Date:  2010-03-09       Impact factor: 12.531

Review 3.  Translational research in the National Cancer Institute's cooperative groups.

Authors:  W Fraser Symmans
Journal:  Clin Adv Hematol Oncol       Date:  2014-11

Review 4.  PD-L1 expression as a predictive biomarker in advanced non-small-cell lung cancer: updated survival data.

Authors:  Pedro N Aguiar; Ramon Andrade De Mello; Peter Hall; Hakaru Tadokoro; Gilberto de Lima Lopes
Journal:  Immunotherapy       Date:  2017-05       Impact factor: 4.196

  4 in total
  3 in total

Review 1.  Factors influencing the statistical planning, design, conduct, analysis and reporting of trials in health care: A systematic review.

Authors:  Marina Zaki; Lydia O'Sullivan; Declan Devane; Ricardo Segurado; Eilish McAuliffe
Journal:  Contemp Clin Trials Commun       Date:  2022-01-29

Review 2.  Genomic heterogeneity in bladder cancer: challenges and possible solutions to improve outcomes.

Authors:  Joshua J Meeks; Hikmat Al-Ahmadie; Bishoy M Faltas; John A Taylor; Thomas W Flaig; David J DeGraff; Emil Christensen; Benjamin L Woolbright; David J McConkey; Lars Dyrskjøt
Journal:  Nat Rev Urol       Date:  2020-03-31       Impact factor: 14.432

3.  Identification of small molecule drugs and development of a novel autophagy-related prognostic signature for kidney renal clear cell carcinoma.

Authors:  Qianwei Xing; Chengjian Ji; Bingye Zhu; Rong Cong; Yi Wang
Journal:  Cancer Med       Date:  2020-08-11       Impact factor: 4.452

  3 in total

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