Literature DB >> 20332273

Standards affecting the consistency of gene expression arrays in clinical applications.

Steven A Enkemann1.   

Abstract

The use of microarray technology to measure gene expression has created optimism for the feasibility of using molecular assessments of tumors routinely in the clinical management of cancer. Gene expression arrays have been pioneers in the development of standards; both for research use and now for clinical application. Some of the existing standards have been driven by the early perception that microarray technology was inconsistent and perhaps unreliable. More recent experimentation has shown that reproducible data can be achieved and clinical standards are beginning to emerge. For the transcriptional assessment of tumors, this means a system that correctly samples a tumor, isolates RNA and processes this for microarray analysis, evaluates the data, and communicates findings in a consistent and timely fashion. The most important standard is to show that a clinically important assessment can be made with microarray data. The standards emerging from work on various parts of the entire process could guide the development of a workable system. However, the final standard for each component of the process depends on the accuracy required when the assay becomes part of the clinical routine: a routine that now includes the molecular evaluation of tumors.

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Year:  2010        PMID: 20332273      PMCID: PMC2852479          DOI: 10.1158/1055-9965.EPI-10-0044

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  55 in total

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Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

Review 3.  From patterns to pathways: gene expression data analysis comes of age.

Authors:  Donna K Slonim
Journal:  Nat Genet       Date:  2002-12       Impact factor: 38.330

4.  New and old regulators of uterine leiomyoma growth from screening with DNA arrays.

Authors:  John C M Tsibris; James Segars; Steven Enkemann; Domenico Coppola; George D Wilbanks; William F O'Brien; William N Spellacy
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5.  Meta-analysis of microarrays: interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer.

Authors:  Daniel R Rhodes; Terrence R Barrette; Mark A Rubin; Debashis Ghosh; Arul M Chinnaiyan
Journal:  Cancer Res       Date:  2002-08-01       Impact factor: 12.701

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7.  Analysis of matched mRNA measurements from two different microarray technologies.

Authors:  Winston Patrick Kuo; Tor-Kristian Jenssen; Atul J Butte; Lucila Ohno-Machado; Isaac S Kohane
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Authors:  Timothy J Yeatman
Journal:  Am Surg       Date:  2003-01       Impact factor: 0.688

Review 9.  Microarrays as cancer keys: an array of possibilities.

Authors:  Steve Mohr; George D Leikauf; Gérard Keith; Bertrand H Rihn
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10.  Biomarkers of human cutaneous squamous cell carcinoma from tissues and cell lines identified by DNA microarrays and qRT-PCR.

Authors:  Thomas P Dooley; Shanker P Reddy; Teresa W Wilborn; Richard L Davis
Journal:  Biochem Biophys Res Commun       Date:  2003-07-11       Impact factor: 3.575

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Review 3.  Personalized medicine in hematology - A landmark from bench to bed.

Authors:  Gayane Badalian-Very
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Review 4.  The reproducibility of biomedical research: Sleepers awake!

Authors:  Stephen A Bustin
Journal:  Biomol Detect Quantif       Date:  2015-01-21
  4 in total

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