Literature DB >> 17911165

Genomic strategies for personalized cancer therapy.

Katherine S Garman1, Joseph R Nevins, Anil Potti.   

Abstract

Numerous recent studies have demonstrated the use of genomic data, particularly gene expression signatures, as clinical prognostic factors in cancer and other complex diseases. These studies highlight the opportunity for strategies to achieve truly personalized cancer treatment. In particular, the ability to develop gene expression signatures will likely allow us to guide the use of currently available cancer drugs, develop new targeted therapeutics, and provide an opportunity to better match the most effective drug or drugs with the molecular characteristics of the individual patient.

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Year:  2007        PMID: 17911165     DOI: 10.1093/hmg/ddm184

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  24 in total

Review 1.  Utility of functional imaging in prediction or assessment of treatment response and prognosis following thermotherapy.

Authors:  Mark W Dewhirst; Donald E Thrall; Gregory Palmer; Thies Schroeder; Zeljko Vujaskovic; H Cecil Charles; James Macfall; Terence Wong
Journal:  Int J Hyperthermia       Date:  2010       Impact factor: 3.914

2.  A targeted quantitative proteomics strategy for global kinome profiling of cancer cells and tissues.

Authors:  Yongsheng Xiao; Lei Guo; Yinsheng Wang
Journal:  Mol Cell Proteomics       Date:  2014-02-11       Impact factor: 5.911

3.  Predictive biomarker validation in practice: lessons from real trials.

Authors:  Sumithra J Mandrekar; Daniel J Sargent
Journal:  Clin Trials       Date:  2010-04-14       Impact factor: 2.486

4.  Preoperative Systemic Treatment in BRCA-Positive Breast Cancer Patients: Case Report and Review of the Literature.

Authors:  Sarah Schott; Christof Sohn; Andreas Schneeweiss; Joerg Heil
Journal:  Breast Care (Basel)       Date:  2011-10-13       Impact factor: 2.860

5.  Integrating Epigenomics into Pharmacogenomic Studies.

Authors:  Wei Zhang; R Stephanie Huang; M Eileen Dolan
Journal:  Pharmgenomics Pers Med       Date:  2008-11

Review 6.  The value of genomics in dissecting the RAS-network and in guiding therapeutics for RAS-driven cancers.

Authors:  Gajendra Shrestha; Shelley M MacNeil; Jasmine A McQuerry; David F Jenkins; Sunil Sharma; Andrea H Bild
Journal:  Semin Cell Dev Biol       Date:  2016-06-20       Impact factor: 7.727

Review 7.  Metabolomic studies of human gastric cancer: review.

Authors:  Naresh Doni Jayavelu; Nadav S Bar
Journal:  World J Gastroenterol       Date:  2014-07-07       Impact factor: 5.742

Review 8.  A new view of carcinogenesis and an alternative approach to cancer therapy.

Authors:  Miguel López-Lázaro
Journal:  Mol Med       Date:  2009-12-28       Impact factor: 6.354

9.  The apoptotic machinery as a biological complex system: analysis of its omics and evolution, identification of candidate genes for fourteen major types of cancer, and experimental validation in CML and neuroblastoma.

Authors:  Cinzia Di Pietro; Marco Ragusa; Davide Barbagallo; Laura R Duro; Maria R Guglielmino; Alessandra Majorana; Rosario Angelica; Marina Scalia; Luisa Statello; Loredana Salito; Luisa Tomasello; Salvo Pernagallo; Salvo Valenti; Vito D'Agostino; Patrizio Triberio; Igor Tandurella; Giuseppe A Palumbo; Piera La Cava; Viviana Cafiso; Taschia Bertuccio; Maria Santagati; Giovanni Li Destri; Salvatore Lanzafame; Francesco Di Raimondo; Stefania Stefani; Bud Mishra; Michele Purrello
Journal:  BMC Med Genomics       Date:  2009-04-30       Impact factor: 3.063

10.  A framework for developing, implementing, and evaluating a cancer survivorship curriculum for medical students.

Authors:  Sebastian Uijtdehaage; Karen E Hauer; Margaret Stuber; Shobita Rajagopalan; Vay L Go; LuAnn Wilkerson
Journal:  J Gen Intern Med       Date:  2009-11       Impact factor: 5.128

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