Jonathan B Overdevest1, Dan Theodorescu, Jae K Lee. 1. Departments of Molecular Physiology and Biological Physics; and Public Health Sciences, University of Virginia Health Sciences Center, Charlottesville, VA 22908, USA.
Abstract
BACKGROUND: Personalized medicine is the provision of focused prevention, detection, prognostic, and therapeutic efforts according to an individual's genetic composition. The actualization of personalized medicine will require combining a patient's conventional clinical data with bioinformatics-based molecular-assessment profiles. This synergistic approach offers tangible benefits, such as heightened specificity in the molecular classification of cancer subtypes, improved prognostic accuracy, targeted development of new therapies, novel applications for old therapies, and tailored selection and delivery of chemotherapeutics. CONTENT: Our ability to personalize cancer management is rapidly expanding through biotechnological advances in the postgenomic era. The platforms of genomics, proteomics, single-nucleotide polymorphism profiling and haplotype mapping, high-throughput genomic sequencing, and pharmacogenomics constitute the mechanisms for the molecular assessment of a patient's tumor. The complementary data derived during these assessments is processed through bioinformatics analysis to offer unique insights for linking expression profiles to disease detection, tumor response to chemotherapy, and patient survival. Together, these approaches permit improved physician capacity to assess risk, target therapies, and tailor a chemotherapeutic treatment course. SUMMARY: Personalized medicine is poised for rapid growth as the insights provided by new bioinformatics models are integrated with current procedures for assessing and treating cancer patients. Integration of these biological platforms will require refinement of tissue-processing and analysis techniques, particularly in clinical pathology, to overcome obstacles in customizing our ability to treat cancer.
BACKGROUND: Personalized medicine is the provision of focused prevention, detection, prognostic, and therapeutic efforts according to an individual's genetic composition. The actualization of personalized medicine will require combining a patient's conventional clinical data with bioinformatics-based molecular-assessment profiles. This synergistic approach offers tangible benefits, such as heightened specificity in the molecular classification of cancer subtypes, improved prognostic accuracy, targeted development of new therapies, novel applications for old therapies, and tailored selection and delivery of chemotherapeutics. CONTENT: Our ability to personalize cancer management is rapidly expanding through biotechnological advances in the postgenomic era. The platforms of genomics, proteomics, single-nucleotide polymorphism profiling and haplotype mapping, high-throughput genomic sequencing, and pharmacogenomics constitute the mechanisms for the molecular assessment of a patient's tumor. The complementary data derived during these assessments is processed through bioinformatics analysis to offer unique insights for linking expression profiles to disease detection, tumor response to chemotherapy, and patient survival. Together, these approaches permit improved physician capacity to assess risk, target therapies, and tailor a chemotherapeutic treatment course. SUMMARY: Personalized medicine is poised for rapid growth as the insights provided by new bioinformatics models are integrated with current procedures for assessing and treating cancerpatients. Integration of these biological platforms will require refinement of tissue-processing and analysis techniques, particularly in clinical pathology, to overcome obstacles in customizing our ability to treat cancer.
Authors: Lance A Liotta; Virginia Espina; Arpita I Mehta; Valerie Calvert; Kevin Rosenblatt; David Geho; Peter J Munson; Lynn Young; Julia Wulfkuhle; Emanuel F Petricoin Journal: Cancer Cell Date: 2003-04 Impact factor: 31.743
Authors: William M Merritt; Yvonne G Lin; Liz Y Han; Aparna A Kamat; Whitney A Spannuth; Rosemarie Schmandt; Diana Urbauer; Len A Pennacchio; Jan-Fang Cheng; Alpa M Nick; Michael T Deavers; Alexandra Mourad-Zeidan; Hua Wang; Peter Mueller; Marc E Lenburg; Joe W Gray; Samuel Mok; Michael J Birrer; Gabriel Lopez-Berestein; Robert L Coleman; Menashe Bar-Eli; Anil K Sood Journal: N Engl J Med Date: 2008-12-18 Impact factor: 91.245
Authors: Timothy J Ley; Patrick J Minx; Matthew J Walter; Rhonda E Ries; Hui Sun; Michael McLellan; John F DiPersio; Daniel C Link; Michael H Tomasson; Timothy A Graubert; Howard McLeod; Hanna Khoury; Mark Watson; William Shannon; Kathryn Trinkaus; Sharon Heath; James W Vardiman; Michael A Caligiuri; Clara D Bloomfield; Jeffrey D Milbrandt; Elaine R Mardis; Richard K Wilson Journal: Proc Natl Acad Sci U S A Date: 2003-11-12 Impact factor: 11.205
Authors: Frank L Meyskens; Gregory A Curt; Dean E Brenner; Gary Gordon; Ronald B Herberman; Olivera Finn; Gary J Kelloff; Samir N Khleif; Caroline C Sigman; Eva Szabo Journal: Cancer Prev Res (Phila) Date: 2011-03
Authors: Aruna S Jaiswal; Sanjeev Banerjee; Harekrushna Panda; Charles D Bulkin; Tadahide Izumi; Fazlul H Sarkar; David A Ostrov; Satya Narayan Journal: Mol Cancer Res Date: 2009-12-08 Impact factor: 5.852
Authors: Travis L Williams; Lily V Saadat; Mithat Gonen; Alice Wei; Richard K G Do; Amber L Simpson Journal: Comput Assist Surg (Abingdon) Date: 2021-12 Impact factor: 2.357
Authors: Dmytro M Havaleshko; Steven Christopher Smith; HyungJun Cho; Sooyoung Cheon; Charles R Owens; Jae K Lee; Lance A Liotta; Virginia Espina; Julia D Wulfkuhle; Emanuel F Petricoin; Dan Theodorescu Journal: Neoplasia Date: 2009-11 Impact factor: 5.715
Authors: Linh M Tran; Bin Zhang; Zhan Zhang; Chunsheng Zhang; Tao Xie; John R Lamb; Hongyue Dai; Eric E Schadt; Jun Zhu Journal: BMC Syst Biol Date: 2011-08-01
Authors: Jiyoun Yeo; Erin L Crawford; Thomas M Blomquist; Lauren M Stanoszek; Rachel E Dannemiller; Jill Zyrek; Luis E De Las Casas; Sadik A Khuder; James C Willey Journal: PLoS One Date: 2014-02-21 Impact factor: 3.240