Literature DB >> 36056271

Embracing Project Optimus: Can we Leverage Evolutionary Theory to Optimize Dosing in Oncology?

Timothy Qi1, Tyler Dunlap1, Yanguang Cao2,3.   

Abstract

Project Optimus is a US Food and Drug Administration (FDA) initiative to reform dose selection in oncology drug development. Here, we focus on tumor evolution, a broadly observed phenomenon that invariably leads to therapeutic failure and disease relapse, and its effect on the exposure-response (E-R) relationships of oncology drugs. We propose a greater emphasis on tumor evolution during clinical development to facilitate the selection of optimal doses for molecularly targeted therapies and immunotherapies in oncology.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  oncology; precision medicine; tumor evolution

Year:  2022        PMID: 36056271     DOI: 10.1007/s11095-022-03380-1

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.580


  15 in total

Review 1.  Targeting RAF kinases for cancer therapy: BRAF-mutated melanoma and beyond.

Authors:  Matthew Holderfield; Marian M Deuker; Frank McCormick; Martin McMahon
Journal:  Nat Rev Cancer       Date:  2014-07       Impact factor: 60.716

Review 2.  Confounding factors in exposure-response analyses and mitigation strategies for monoclonal antibodies in oncology.

Authors:  Sonoko Kawakatsu; René Bruno; Matts Kågedal; Chunze Li; Sandhya Girish; Amita Joshi; Benjamin Wu
Journal:  Br J Clin Pharmacol       Date:  2020-12-07       Impact factor: 4.335

Review 3.  The great escape: tumour cell plasticity in resistance to targeted therapy.

Authors:  Soufiane Boumahdi; Frederic J de Sauvage
Journal:  Nat Rev Drug Discov       Date:  2019-10-10       Impact factor: 84.694

4.  Rechallenge for Patients With RAS and BRAF Wild-Type Metastatic Colorectal Cancer With Acquired Resistance to First-line Cetuximab and Irinotecan: A Phase 2 Single-Arm Clinical Trial.

Authors:  Chiara Cremolini; Daniele Rossini; Emanuela Dell'Aquila; Sara Lonardi; Elena Conca; Marzia Del Re; Adele Busico; Filippo Pietrantonio; Romano Danesi; Giuseppe Aprile; Emiliano Tamburini; Carlo Barone; Gianluca Masi; Francesco Pantano; Francesca Pucci; Domenico C Corsi; Nicoletta Pella; Francesca Bergamo; Eleonora Rofi; Cecilia Barbara; Alfredo Falcone; Daniele Santini
Journal:  JAMA Oncol       Date:  2019-03-01       Impact factor: 31.777

5.  The clonal evolution of tumor cell populations.

Authors:  P C Nowell
Journal:  Science       Date:  1976-10-01       Impact factor: 47.728

6.  Adaptive therapy.

Authors:  Robert A Gatenby; Ariosto S Silva; Robert J Gillies; B Roy Frieden
Journal:  Cancer Res       Date:  2009-06-01       Impact factor: 12.701

7.  Modeling Tumor Evolutionary Dynamics to Predict Clinical Outcomes for Patients with Metastatic Colorectal Cancer: A Retrospective Analysis.

Authors:  Jiawei Zhou; Yutong Liu; Yubo Zhang; Quefeng Li; Yanguang Cao
Journal:  Cancer Res       Date:  2019-11-01       Impact factor: 12.701

8.  Integrating evolutionary dynamics into treatment of metastatic castrate-resistant prostate cancer.

Authors:  Jingsong Zhang; Jessica J Cunningham; Joel S Brown; Robert A Gatenby
Journal:  Nat Commun       Date:  2017-11-28       Impact factor: 14.919

9.  Genomic and Transcriptomic Determinants of Therapy Resistance and Immune Landscape Evolution during Anti-EGFR Treatment in Colorectal Cancer.

Authors:  Andrew Woolston; Khurum Khan; Georgia Spain; Louise J Barber; Beatrice Griffiths; Reyes Gonzalez-Exposito; Lisa Hornsteiner; Marco Punta; Yatish Patil; Alice Newey; Sonia Mansukhani; Matthew N Davies; Andrew Furness; Francesco Sclafani; Clare Peckitt; Mirta Jiménez; Kyriakos Kouvelakis; Romana Ranftl; Ruwaida Begum; Isma Rana; Janet Thomas; Annette Bryant; Sergio Quezada; Andrew Wotherspoon; Nasir Khan; Nikolaos Fotiadis; Teresa Marafioti; Thomas Powles; Stefano Lise; Fernando Calvo; Sebastian Guettler; Katharina von Loga; Sheela Rao; David Watkins; Naureen Starling; Ian Chau; Anguraj Sadanandam; David Cunningham; Marco Gerlinger
Journal:  Cancer Cell       Date:  2019-07-08       Impact factor: 31.743

10.  Identification of optimal dosing schedules of dacomitinib and osimertinib for a phase I/II trial in advanced EGFR-mutant non-small cell lung cancer.

Authors:  Kamrine E Poels; Adam J Schoenfeld; Alex Makhnin; Yosef Tobi; Yuli Wang; Heidie Frisco-Cabanos; Shaon Chakrabarti; Manli Shi; Chelsi Napoli; Thomas O McDonald; Weiwei Tan; Aaron Hata; Scott L Weinrich; Helena A Yu; Franziska Michor
Journal:  Nat Commun       Date:  2021-06-17       Impact factor: 17.694

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