Literature DB >> 16883303

Strategies for optimizing combinations of molecularly targeted anticancer agents.

Janet E Dancey1, Helen X Chen.   

Abstract

The rapid emergence of hundreds of new agents that modulate an ever-growing list of cancer-specific molecular targets offers tremendous hope for cancer patients. However, evaluating targeted agents individually, in combination with standard treatments, and in combination with other targeted agents presents significant development challenges. Because the number of possible drug combinations is essentially limitless, a strategy for determining the most promising combinations and prioritizing their evaluation is crucial. Here, we consider the crucial elements of a development strategy for targeted-agent combinations. Issues that pose challenges to the rational preclinical and clinical evaluation of such combinations will be described, and possible approaches to overcoming these challenges will be discussed.

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Year:  2006        PMID: 16883303     DOI: 10.1038/nrd2089

Source DB:  PubMed          Journal:  Nat Rev Drug Discov        ISSN: 1474-1776            Impact factor:   84.694


  105 in total

Review 1.  The changing landscape of phase I trials in oncology.

Authors:  Kit Man Wong; Anna Capasso; S Gail Eckhardt
Journal:  Nat Rev Clin Oncol       Date:  2015-11-10       Impact factor: 66.675

2.  Optimization of drug combinations using Feedback System Control.

Authors:  Patrycja Nowak-Sliwinska; Andrea Weiss; Xianting Ding; Paul J Dyson; Hubert van den Bergh; Arjan W Griffioen; Chih-Ming Ho
Journal:  Nat Protoc       Date:  2016-01-14       Impact factor: 13.491

Review 3.  A paradigm shift: Cancer therapy with peptide-based B-cell epitopes and peptide immunotherapeutics targeting multiple solid tumor types: Emerging concepts and validation of combination immunotherapy.

Authors:  Pravin T P Kaumaya
Journal:  Hum Vaccin Immunother       Date:  2015       Impact factor: 3.452

Review 4.  Utilizing targeted cancer therapeutic agents in combination: novel approaches and urgent requirements.

Authors:  Shivanni Kummar; Helen X Chen; John Wright; Susan Holbeck; Myrtle Davis Millin; Joseph Tomaszewski; James Zweibel; Jerry Collins; James H Doroshow
Journal:  Nat Rev Drug Discov       Date:  2010-10-29       Impact factor: 84.694

Review 5.  Anticancer drug discovery and pharmaceutical chemistry: a history.

Authors:  Miguel F Braña; Ana Sánchez-Migallón
Journal:  Clin Transl Oncol       Date:  2006-10       Impact factor: 3.405

6.  Closed-loop control of cellular functions using combinatory drugs guided by a stochastic search algorithm.

Authors:  Pak Kin Wong; Fuqu Yu; Arash Shahangian; Genhong Cheng; Ren Sun; Chih-Ming Ho
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-20       Impact factor: 11.205

Review 7.  Modeling Tumor Clonal Evolution for Drug Combinations Design.

Authors:  Boyang Zhao; Michael T Hemann; Douglas A Lauffenburger
Journal:  Trends Cancer       Date:  2016-03

8.  Synergistic interactions between sorafenib and everolimus in pancreatic cancer xenografts in mice.

Authors:  Dipti K Pawaskar; Robert M Straubinger; Gerald J Fetterly; Bonnie H Hylander; Elizabeth A Repasky; Wen W Ma; William J Jusko
Journal:  Cancer Chemother Pharmacol       Date:  2013-03-03       Impact factor: 3.333

9.  A Human Ribonuclease Variant and ERK-Pathway Inhibitors Exhibit Highly Synergistic Toxicity for Cancer Cells.

Authors:  Trish T Hoang; I Caglar Tanrikulu; Quinn A Vatland; Trieu M Hoang; Ronald T Raines
Journal:  Mol Cancer Ther       Date:  2018-10-03       Impact factor: 6.261

10.  EGFR-targeted diphtheria toxin stimulates TRAIL killing of glioblastoma cells by depleting anti-apoptotic proteins.

Authors:  Henrick Horita; Jacqueline Thorburn; Arthur E Frankel; Andrew Thorburn
Journal:  J Neurooncol       Date:  2009-05-17       Impact factor: 4.130

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