Literature DB >> 26868357

Precision oncology: origins, optimism, and potential.

Vinay Prasad1, Tito Fojo2, Michael Brada3.   

Abstract

Imatinib, the first and arguably the best targeted therapy, became the springboard for developing drugs aimed at molecular targets deemed crucial to tumours. As this development unfolded, a revolution in the speed and cost of genetic sequencing occurred. The result--an armamentarium of drugs and an array of molecular targets--set the stage for precision oncology, a hypothesis that cancer treatment could be markedly improved if therapies were guided by a tumour's genomic alterations. Drawing lessons from the biological basis of cancer and recent empirical investigations, we take a more measured view of precision oncology's promise. Ultimately, the promise is not our concern, but the threshold at which we declare success. We review reports of precision oncology alongside those of precision diagnostics and novel radiotherapy approaches. Although confirmatory evidence is scarce, these interventions have been widely endorsed. We conclude that the current path will probably not be successful or, at a minimum, will have to undergo substantive adjustments before it can be successful. For the sake of patients with cancer, we hope one form of precision oncology will deliver on its promise. However, until confirmatory studies are completed, precision oncology remains unproven, and as such, a hypothesis in need of rigorous testing.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 26868357     DOI: 10.1016/S1470-2045(15)00620-8

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  73 in total

Review 1.  Cancer drug development: The missing links.

Authors:  Ajaikumar B Kunnumakkara; Devivasha Bordoloi; Bethsebie Lalduhsaki Sailo; Nand Kishor Roy; Krishan Kumar Thakur; Kishore Banik; Mehdi Shakibaei; Subash C Gupta; Bharat B Aggarwal
Journal:  Exp Biol Med (Maywood)       Date:  2019-04-08

Review 2.  Precision Medicine for Heart Failure: Lessons From Oncology.

Authors:  Arthur M Feldman; Christopher D Kontos; Joseph M McClung; Glenn S Gerhard; Kamel Khalili; Joseph Y Cheung
Journal:  Circ Heart Fail       Date:  2017-06       Impact factor: 8.790

3.  Conceptual Model for Accrual to Cancer Clinical Trials.

Authors:  Simon J Craddock Lee; Caitlin C Murphy; Ann M Geiger; David E Gerber; John V Cox; Rasmi Nair; Celette Sugg Skinner
Journal:  J Clin Oncol       Date:  2019-06-05       Impact factor: 44.544

Review 4.  Text Mining for Precision Medicine: Bringing Structure to EHRs and Biomedical Literature to Understand Genes and Health.

Authors:  Michael Simmons; Ayush Singhal; Zhiyong Lu
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

5.  OCTANE (Ontario-wide Cancer Targeted Nucleic Acid Evaluation): a platform for intraprovincial, national, and international clinical data-sharing.

Authors:  E R Malone; R R Saleh; C Yu; L Ahmed; T Pugh; J Torchia; J Bartlett; C Virtanen; S J Hotte; J Hilton; S Welch; A Robinson; E McCready; B Lo; B Sadikovic; H Feilotter; T P Hanna; S Kamel-Reid; T L Stockley; L L Siu; P L Bedard
Journal:  Curr Oncol       Date:  2019-10-01       Impact factor: 3.677

6.  Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics.

Authors:  Michael Q Ding; Lujia Chen; Gregory F Cooper; Jonathan D Young; Xinghua Lu
Journal:  Mol Cancer Res       Date:  2017-11-13       Impact factor: 5.852

Review 7.  Precision medicine in pediatric oncology: Lessons learned and next steps.

Authors:  Rajen J Mody; John R Prensner; Jessica Everett; D Williams Parsons; Arul M Chinnaiyan
Journal:  Pediatr Blood Cancer       Date:  2016-10-17       Impact factor: 3.167

8.  The future of clinical cancer genomics.

Authors:  Kenneth Offit
Journal:  Semin Oncol       Date:  2016-10-18       Impact factor: 4.929

9.  Pathways to Genome-targeted Therapies in Serous Ovarian Cancer.

Authors:  Joshua Axelrod; Joe Delaney
Journal:  J Nat Sci       Date:  2017-07

10.  MONET: Multi-omic module discovery by omic selection.

Authors:  Nimrod Rappoport; Roy Safra; Ron Shamir
Journal:  PLoS Comput Biol       Date:  2020-09-15       Impact factor: 4.475

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