Literature DB >> 31218367

New designs in early clinical drug development.

A Mansinho1, V Boni2, M Miguel2, E Calvo3.   

Abstract

The availability of an unprecedented massive amount of data has provided a magnificent window of opportunity for the development of new drugs. There are currently more drugs in development targeting cancer than any other disease. While this has brought us new waves of drugs, the counterpart is that with these new molecules we have different mechanisms of action, drug kinetics and dynamics, response types and toxicity profiles, which impair classical early clinical trial designs from being effective and efficient. What we once treated as a 'one-size-fits-all' homogeneous disease, has now been uncovered to be a rather heterogeneous condition with multiple targetable mutations. As this generates endless scenarios, it will be impossible to design single 'me-too' trials for every different disease, target, biomarker and agent. To overcome this, we must focus on improving early phase studies, undoubtedly the most critical step from bench to bedside. Goals include decreasing clinical development times, lowering research and development costs and optimizing decisions in advancing through the several phases with a higher degree of certainty in exchange for less failed attempts. We need more informative and, really, transformative early phase designs that seek to obtain the typical late phase objectives in a time continuum and to allow for more robust and efficient go/no-go decisions. With this in mind, different classes of drugs seem to fit with different designs, which present solutions to the different challenges that they pose after finding the maximum tolerated dose/optimum biological dose. This article reviews these concepts and designs and how they can adapt to this new reality in early phase investigation.
© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  clinical trial designs; drug development; early phase investigation

Mesh:

Substances:

Year:  2019        PMID: 31218367     DOI: 10.1093/annonc/mdz191

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  4 in total

1.  Physiologically-Based Pharmacokinetic/Pharmacodynamic Model of MBQ-167 to Predict Tumor Growth Inhibition in Mice.

Authors:  Javier Reig-López; María Del Mar Maldonado; Matilde Merino-Sanjuan; Ailed M Cruz-Collazo; Jean F Ruiz-Calderón; Victor Mangas-Sanjuán; Suranganie Dharmawardhane; Jorge Duconge
Journal:  Pharmaceutics       Date:  2020-10-15       Impact factor: 6.321

2.  Guidelines for clinical evaluation of anti-cancer drugs.

Authors:  Hironobu Minami; Naomi Kiyota; Shiro Kimbara; Yuichi Ando; Tomoya Shimokata; Atsushi Ohtsu; Nozomu Fuse; Yasutoshi Kuboki; Toshio Shimizu; Noboru Yamamoto; Kazuto Nishio; Yutaka Kawakami; Shin-Ichi Nihira; Kazuhiro Sase; Takahiro Nonaka; Hideaki Takahashi; Yukiko Komori; Koshin Kiyohara
Journal:  Cancer Sci       Date:  2021-06-08       Impact factor: 6.716

Review 3.  Patient-Derived Lung Tumoroids-An Emerging Technology in Drug Development and Precision Medicine.

Authors:  Hélène Lê; Joseph Seitlinger; Véronique Lindner; Anne Olland; Pierre-Emmanuel Falcoz; Nadia Benkirane-Jessel; Eric Quéméneur
Journal:  Biomedicines       Date:  2022-07-12

4.  High-Throughput Drug Library Screening in Primary KMT2A-Rearranged Infant ALL Cells Favors the Identification of Drug Candidates That Activate P53 Signaling.

Authors:  Priscilla Wander; Susan T C J M Arentsen-Peters; Kirsten S Vrenken; Sandra Mimoso Pinhanҫos; Bianca Koopmans; M Emmy M Dolman; Luke Jones; Patricia Garrido Castro; Pauline Schneider; Mark Kerstjens; Jan J Molenaar; Rob Pieters; Christian Michel Zwaan; Ronald W Stam
Journal:  Biomedicines       Date:  2022-03-10
  4 in total

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