Literature DB >> 28363335

Drug-biomarker co-development in oncology - 20 years and counting.

Julianne D Twomey1, Nina N Brahme1, Baolin Zhang2.   

Abstract

Predictive biomarkers for oncology are necessary to accurately identify patients who will benefit from anticancer treatment. Recently approved oncology drugs target discrete molecular aberrations or pathways in tumor cells and consequently are active on a subset of patient population, yet clinical studies have shown that not all biomarker-positive patients respond. The advancement of predictive biomarkers needs to detect novel and evolving drug resistance mechanisms, not only to guide the selection of patient subsets for specific treatments, but to identify new therapeutic targets. Going beyond the "one marker, one drug" model to incorporate genomics, transcriptomics, and receptor status assessments during biomarker-drug co-development can aid in the successful application of molecular marker-based cancer therapy. This review provides the latest update of biomarker-based cancer therapeutics approved by the US Food and Drug Administration. We provide case studies of therapeutics selectively targeting HER2, EGFR, or PD-1/PD-L1 signaling pathways. We also discuss the challenges and promising future directions in the co-development of targeted cancer therapeutics and paired predictive biomarkers. Published by Elsevier Ltd.

Entities:  

Keywords:  Co-development; Companion diagnostics; Predictive biomarker; Targeted cancer therapy; Tumor heterogeneity

Mesh:

Substances:

Year:  2017        PMID: 28363335     DOI: 10.1016/j.drup.2017.02.002

Source DB:  PubMed          Journal:  Drug Resist Updat        ISSN: 1368-7646            Impact factor:   18.500


  14 in total

1.  Physical biology of the cancer cell glycocalyx.

Authors:  Joe Chin-Hun Kuo; Jay G Gandhi; Roseanna N Zia; Matthew J Paszek
Journal:  Nat Phys       Date:  2018-07-04       Impact factor: 20.034

Review 2.  Machine learning approaches to drug response prediction: challenges and recent progress.

Authors:  George Adam; Ladislav Rampášek; Zhaleh Safikhani; Petr Smirnov; Benjamin Haibe-Kains; Anna Goldenberg
Journal:  NPJ Precis Oncol       Date:  2020-06-15

Review 3.  Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning models.

Authors:  Hossein Sharifi-Noghabi; Soheil Jahangiri-Tazehkand; Petr Smirnov; Casey Hon; Anthony Mammoliti; Sisira Kadambat Nair; Arvind Singh Mer; Martin Ester; Benjamin Haibe-Kains
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 13.994

4.  Use of MS-GUIDE for identification of protein biomarkers for risk stratification of patients with prostate cancer.

Authors:  Sandra Goetze; Peter Schüffler; Alcibiade Athanasiou; Anika Koetemann; Cedric Poyet; Christian Daniel Fankhauser; Peter J Wild; Ralph Schiess; Bernd Wollscheid
Journal:  Clin Proteomics       Date:  2022-04-27       Impact factor: 5.000

Review 5.  New tools for old drugs: Functional genetic screens to optimize current chemotherapy.

Authors:  Nora M Gerhards; Sven Rottenberg
Journal:  Drug Resist Updat       Date:  2018-01-12       Impact factor: 18.500

6.  PATRI, a Genomics Data Integration Tool for Biomarker Discovery.

Authors:  G Ukmar; G E M Melloni; L Raddrizzani; P Rossi; S Di Bella; M R Pirchio; M Vescovi; A Leone; M Callari; M Cesarini; A Somaschini; G Della Vedova; M G Daidone; M Pettenella; A Isacchi; R Bosotti
Journal:  Biomed Res Int       Date:  2018-06-28       Impact factor: 3.411

Review 7.  Machine learning approaches to drug response prediction: challenges and recent progress.

Authors:  George Adam; Ladislav Rampášek; Zhaleh Safikhani; Petr Smirnov; Benjamin Haibe-Kains; Anna Goldenberg
Journal:  NPJ Precis Oncol       Date:  2020-06-15

8.  Rapid tissue processing using a temperature-controlled collection device to preserve tumor biomarkers.

Authors:  Melissa Lerch; Heidi Kenerson; Abbey Theiss; David Chafin; Maria Westerhoff; Michael Otter; Raymond Yeung; Geoffrey Baird
Journal:  Cell Tissue Bank       Date:  2019-12-14       Impact factor: 1.522

9.  Delivery of polymeric nanostars for molecular imaging and endoradiotherapy through the enhanced permeability and retention (EPR) effect.

Authors:  Jeroen A C M Goos; Andrew Cho; Lukas M Carter; Thomas R Dilling; Maria Davydova; Komal Mandleywala; Simon Puttick; Abhishek Gupta; William S Price; John F Quinn; Michael R Whittaker; Jason S Lewis; Thomas P Davis
Journal:  Theranostics       Date:  2020-01-01       Impact factor: 11.556

Review 10.  CircRNAs in anticancer drug resistance: recent advances and future potential.

Authors:  Tianwei Xu; Mengwei Wang; Lihua Jiang; Li Ma; Li Wan; Qinnan Chen; Chenchen Wei; Zhaoxia Wang
Journal:  Mol Cancer       Date:  2020-08-17       Impact factor: 27.401

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