Literature DB >> 16145063

Roadmap for developing and validating therapeutically relevant genomic classifiers.

Richard Simon1.   

Abstract

Oncologists need improved tools for selecting treatments for individual patients. The development of therapeutically relevant prognostic markers has traditionally been slowed by poor study design, inconsistent findings, and lack of proper validation studies. Microarray expression profiling provides an exciting new technology for relating tumor gene expression to patient outcome, but it also provides increased challenges for translating initial research findings into robust diagnostics that benefit patients and physicians in therapeutic decision making. This article attempts to clarify some of the misconceptions about the development and validation of multigene expression signature classifiers and highlights the steps needed to move genomic signatures into clinical application as therapeutically relevant and robust diagnostics.

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Year:  2005        PMID: 16145063     DOI: 10.1200/JCO.2005.02.8712

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  114 in total

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Authors:  Michael T Marrone; Corinne E Joshu; Sarah B Peskoe; Angelo M De Marzo; Christopher M Heaphy; Shawn E Lupold; Alan K Meeker; Elizabeth A Platz
Journal:  Clin Chem       Date:  2018-12-05       Impact factor: 8.327

2.  Development of an integrated genomic classifier for a novel agent in colorectal cancer: approach to individualized therapy in early development.

Authors:  Todd M Pitts; Aik Choon Tan; Gillian N Kulikowski; John J Tentler; Amy M Brown; Sara A Flanigan; Stephen Leong; Christopher D Coldren; Fred R Hirsch; Marileila Varella-Garcia; Christopher Korch; S Gail Eckhardt
Journal:  Clin Cancer Res       Date:  2010-06-08       Impact factor: 12.531

3.  Assessing risk prediction models in case-control studies using semiparametric and nonparametric methods.

Authors:  Ying Huang; Margaret Sullivan Pepe
Journal:  Stat Med       Date:  2010-06-15       Impact factor: 2.373

4.  Clinical trials for predictive medicine: new challenges and paradigms.

Authors:  Richard Simon
Journal:  Clin Trials       Date:  2010-03-25       Impact factor: 2.486

Review 5.  Bioinformatics and cancer: an essential alliance.

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Journal:  Clin Transl Oncol       Date:  2006-06       Impact factor: 3.405

6.  Improved breast cancer prognosis through the combination of clinical and genetic markers.

Authors:  Yijun Sun; Steve Goodison; Jian Li; Li Liu; William Farmerie
Journal:  Bioinformatics       Date:  2006-11-26       Impact factor: 6.937

7.  Statistical aspects of gene signatures and molecular targets.

Authors:  Mithat Gönen
Journal:  Gastrointest Cancer Res       Date:  2009-03

Review 8.  Combining a molecular profile with a clinical and pathological profile: biostatistical considerations.

Authors:  Richard J Sylvester
Journal:  Scand J Urol Nephrol Suppl       Date:  2008-09

9.  Gene expression before HAART initiation predicts HIV-infected individuals at risk of poor CD4+ T-cell recovery.

Authors:  Christopher H Woelk; Nadejda Beliakova-Bethell; Miguel Goicoechea; Yingdong Zhao; Pinyi Du; Steffney E Rought; Jean Lozach; Josué Pérez-Santiago; Douglas D Richman; Davey M Smith; Susan J Little
Journal:  AIDS       Date:  2010-01-16       Impact factor: 4.177

10.  Internal validation inferences of significant genomic features in genome-wide screening.

Authors:  Cheng Cheng
Journal:  Comput Stat Data Anal       Date:  2009-01-15       Impact factor: 1.681

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