Literature DB >> 24687035

Implementing personalized cancer care.

Richard L Schilsky1.   

Abstract

Implementing personalized cancer care requires a sound understanding of cancer genomics, familiarity with the analytical methods used to study cancer, knowledge of the mechanisms of action of targeted drugs, and ways to assimilate and understand complex data sets. Perhaps the greatest challenge is obtaining the drugs predicted to be beneficial based on the genomic profile of a patient's tumour. A potential solution is creation of a national facilitated access programme and registry for off-label use of targeted anti-cancer drugs. Within such a programme, patients could receive the targeted agent matched to the genomic profile of their tumour. Physicians would receive guidance in interpretation of complex genomic tests and access to drugs. Pharmaceutical companies, payers and regulators would receive data on off-label drug and test use and clinical outcomes to inform their research and development plans and coverage decisions and to track real-world safety. Although recently launched prospective clinical trials will determine the true benefit of matching drugs to genomic alterations, the approach proposed here will facilitate delivery of personalized medicine services to participating patients while at the same time making observations that allow us to learn from each patient to inform clinical care and future research initiatives.

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Year:  2014        PMID: 24687035     DOI: 10.1038/nrclinonc.2014.54

Source DB:  PubMed          Journal:  Nat Rev Clin Oncol        ISSN: 1759-4774            Impact factor:   66.675


  19 in total

1.  Pilot study using molecular profiling of patients' tumors to find potential targets and select treatments for their refractory cancers.

Authors:  Daniel D Von Hoff; Joseph J Stephenson; Peter Rosen; David M Loesch; Mitesh J Borad; Stephen Anthony; Gayle Jameson; Susan Brown; Nina Cantafio; Donald A Richards; Tom R Fitch; Ernesto Wasserman; Cristian Fernandez; Sylvan Green; William Sutherland; Michael Bittner; Arlet Alarcon; David Mallery; Robert Penny
Journal:  J Clin Oncol       Date:  2010-10-04       Impact factor: 44.544

2.  Optimal two-stage designs for phase II clinical trials.

Authors:  R Simon
Journal:  Control Clin Trials       Date:  1989-03

Review 3.  Genomics-driven oncology: framework for an emerging paradigm.

Authors:  Levi A Garraway
Journal:  J Clin Oncol       Date:  2013-04-15       Impact factor: 44.544

Review 4.  Building a personalized medicine infrastructure at a major cancer center.

Authors:  Funda Meric-Bernstam; Carol Farhangfar; John Mendelsohn; Gordon B Mills
Journal:  J Clin Oncol       Date:  2013-04-15       Impact factor: 44.544

Review 5.  Clinical analysis and interpretation of cancer genome data.

Authors:  Eliezer M Van Allen; Nikhil Wagle; Mia A Levy
Journal:  J Clin Oncol       Date:  2013-04-15       Impact factor: 44.544

6.  Personalized medicine in a phase I clinical trials program: the MD Anderson Cancer Center initiative.

Authors:  Apostolia-Maria Tsimberidou; Nancy G Iskander; David S Hong; Jennifer J Wheler; Gerald S Falchook; Siqing Fu; Sarina Piha-Paul; Aung Naing; Filip Janku; Rajyalakshmi Luthra; Yang Ye; Sijin Wen; Donald Berry; Razelle Kurzrock
Journal:  Clin Cancer Res       Date:  2012-09-10       Impact factor: 12.531

7.  Impact of positron emission tomography/computed tomography and positron emission tomography (PET) alone on expected management of patients with cancer: initial results from the National Oncologic PET Registry.

Authors:  Bruce E Hillner; Barry A Siegel; Dawei Liu; Anthony F Shields; Ilana F Gareen; Lucy Hanna; Sharon Hartson Stine; R Edward Coleman
Journal:  J Clin Oncol       Date:  2008-03-24       Impact factor: 44.544

8.  The Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Initiative: methods of the EGAPP Working Group.

Authors:  Steven M Teutsch; Linda A Bradley; Glenn E Palomaki; James E Haddow; Margaret Piper; Ned Calonge; W David Dotson; Michael P Douglas; Alfred O Berg
Journal:  Genet Med       Date:  2009-01       Impact factor: 8.822

9.  Profiling critical cancer gene mutations in clinical tumor samples.

Authors:  Laura E MacConaill; Catarina D Campbell; Sarah M Kehoe; Adam J Bass; Charles Hatton; Lili Niu; Matt Davis; Keluo Yao; Megan Hanna; Chandrani Mondal; Lauren Luongo; Caroline M Emery; Alissa C Baker; Juliet Philips; Deborah J Goff; Michelangelo Fiorentino; Mark A Rubin; Kornelia Polyak; Jennifer Chan; Yuexiang Wang; Jonathan A Fletcher; Sandro Santagata; Gianni Corso; Franco Roviello; Ramesh Shivdasani; Mark W Kieran; Keith L Ligon; Charles D Stiles; William C Hahn; Matthew L Meyerson; Levi A Garraway
Journal:  PLoS One       Date:  2009-11-18       Impact factor: 3.240

10.  Criteria for the use of omics-based predictors in clinical trials.

Authors:  Lisa M McShane; Margaret M Cavenagh; Tracy G Lively; David A Eberhard; William L Bigbee; P Mickey Williams; Jill P Mesirov; Mei-Yin C Polley; Kelly Y Kim; James V Tricoli; Jeremy M G Taylor; Deborah J Shuman; Richard M Simon; James H Doroshow; Barbara A Conley
Journal:  Nature       Date:  2013-10-17       Impact factor: 49.962

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  29 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

2.  Opportunities for translational epidemiology: the important role of observational studies to advance precision oncology.

Authors:  Michael Marrone; Richard L Schilsky; Geoff Liu; Muin J Khoury; Andrew N Freedman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-03       Impact factor: 4.254

Review 3.  Liquid Biopsy in the Clinical Management of High-Grade Serous Epithelial Ovarian Cancer-Current Use and Future Opportunities.

Authors:  Lara Paracchini; Maurizio D'Incalci; Sergio Marchini
Journal:  Cancers (Basel)       Date:  2021-05-14       Impact factor: 6.639

Review 4.  Pharmacogenomic Biomarkers for Improved Drug Therapy-Recent Progress and Future Developments.

Authors:  Volker M Lauschke; Lili Milani; Magnus Ingelman-Sundberg
Journal:  AAPS J       Date:  2017-11-27       Impact factor: 4.009

Review 5.  Standards and Guidelines for the Interpretation and Reporting of Sequence Variants in Cancer: A Joint Consensus Recommendation of the Association for Molecular Pathology, American Society of Clinical Oncology, and College of American Pathologists.

Authors:  Marilyn M Li; Michael Datto; Eric J Duncavage; Shashikant Kulkarni; Neal I Lindeman; Somak Roy; Apostolia M Tsimberidou; Cindy L Vnencak-Jones; Daynna J Wolff; Anas Younes; Marina N Nikiforova
Journal:  J Mol Diagn       Date:  2017-01       Impact factor: 5.568

Review 6.  The Emerging Potential for Network Analysis to Inform Precision Cancer Medicine.

Authors:  Kivilcim Ozturk; Michelle Dow; Daniel E Carlin; Rafael Bejar; Hannah Carter
Journal:  J Mol Biol       Date:  2018-06-15       Impact factor: 5.469

Review 7.  Pharmacogenomics: Biomarker-Directed Therapy for Bladder Cancer.

Authors:  Robert T Jones; Kenneth M Felsenstein; Dan Theodorescu
Journal:  Urol Clin North Am       Date:  2015-10-31       Impact factor: 2.241

Review 8.  Optimal design of trials to demonstrate the utility of genomically-guided therapy: Putting Precision Cancer Medicine to the test.

Authors:  Rodrigo Dienstmann; Jordi Rodon; Josep Tabernero
Journal:  Mol Oncol       Date:  2014-07-15       Impact factor: 6.603

9.  Developing and Sustaining an Effective and Resilient Oncology Careforce: Opportunities for Action.

Authors:  Samuel U Takvorian; Erin Balogh; Sharyl Nass; Virginia L Valentin; Lori Hoffman-Hogg; Randall A Oyer; Robert W Carlson; Neal J Meropol; Lisa Kennedy Sheldon; Lawrence N Shulman
Journal:  J Natl Cancer Inst       Date:  2020-07-01       Impact factor: 13.506

10.  Precision oncology in the age of integrative genomics.

Authors:  Chandan Kumar-Sinha; Arul M Chinnaiyan
Journal:  Nat Biotechnol       Date:  2018-01-10       Impact factor: 54.908

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