Literature DB >> 26433552

Genetic Testing and Tissue Banking for Personalized Oncology: Analytical and Institutional Factors.

George Miles1, James Rae2, Suresh S Ramalingam3, John Pfeifer4.   

Abstract

Personalized oncology, or more aptly precision oncogenomics, refers to the identification and implementation of clinically actionable targets tailored to an individual patient's cancer genomic information. Banking of human tissue and other biospecimens establishes a framework to extract and collect the data essential to our understanding of disease pathogenesis and treatment. Cancer cooperative groups in the United States have led the way in establishing robust biospecimen collection mechanisms to facilitate translational research, and combined with technological advances in molecular testing, tissue banking has expanded from its traditional base in academic research and is assuming an increasingly pivotal role in directing the clinical care of cancer patients. Comprehensive screening of tumors by DNA sequencing and the ability to mine and interpret these large data sets from well-organized tissue banks have defined molecular subtypes of cancer. Such stratification by genomic criteria has revolutionized our perspectives on cancer diagnosis and treatment, offering insight into prognosis, progression, and susceptibility or resistance to known therapeutic agents. In turn, this has enabled clinicians to offer treatments tailored to patients that can greatly improve their chances of survival. Unique challenges and opportunities accompany the rapidly evolving interplay between tissue banking and genomic sequencing, and are the driving forces underlying the revolution in precision medicine. Molecular testing and precision medicine clinical trials are now becoming the major thrust behind the cooperative groups' clinical research efforts.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26433552      PMCID: PMC4705034          DOI: 10.1053/j.seminoncol.2015.07.013

Source DB:  PubMed          Journal:  Semin Oncol        ISSN: 0093-7754            Impact factor:   4.929


  79 in total

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Review 4.  Lessons from the cancer genome.

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Journal:  Nature       Date:  2010-10-28       Impact factor: 49.962

6.  EGFR variant heterogeneity in glioblastoma resolved through single-nucleus sequencing.

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Authors:  Nikhil Wagle; Eliezer M Van Allen; Daniel J Treacy; Dennie T Frederick; Zachary A Cooper; Amaro Taylor-Weiner; Mara Rosenberg; Eva M Goetz; Ryan J Sullivan; Deborah N Farlow; Dennis C Friedrich; Kristin Anderka; Danielle Perrin; Cory M Johannessen; Aaron McKenna; Kristian Cibulskis; Gregory Kryukov; Eran Hodis; Donald P Lawrence; Sheila Fisher; Gad Getz; Stacey B Gabriel; Scott L Carter; Keith T Flaherty; Jennifer A Wargo; Levi A Garraway
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10.  Whole-exome sequencing and clinical interpretation of formalin-fixed, paraffin-embedded tumor samples to guide precision cancer medicine.

Authors:  Eliezer M Van Allen; Nikhil Wagle; Petar Stojanov; Danielle L Perrin; Kristian Cibulskis; Sara Marlow; Judit Jane-Valbuena; Dennis C Friedrich; Gregory Kryukov; Scott L Carter; Aaron McKenna; Andrey Sivachenko; Mara Rosenberg; Adam Kiezun; Douglas Voet; Michael Lawrence; Lee T Lichtenstein; Jeff G Gentry; Franklin W Huang; Jennifer Fostel; Deborah Farlow; David Barbie; Leena Gandhi; Eric S Lander; Stacy W Gray; Steven Joffe; Pasi Janne; Judy Garber; Laura MacConaill; Neal Lindeman; Barrett Rollins; Philip Kantoff; Sheila A Fisher; Stacey Gabriel; Gad Getz; Levi A Garraway
Journal:  Nat Med       Date:  2014-05-18       Impact factor: 53.440

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  3 in total

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Journal:  Drug Discov Today       Date:  2016-07-12       Impact factor: 8.369

3.  In vitro patient-derived 3D mesothelioma tumor organoids facilitate patient-centric therapeutic screening.

Authors:  Andrea R Mazzocchi; Shiny A P Rajan; Konstantinos I Votanopoulos; Adam R Hall; Aleksander Skardal
Journal:  Sci Rep       Date:  2018-02-13       Impact factor: 4.379

  3 in total

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