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Courtesy <strong>of</strong> <strong>NCI</strong> Visuals Online, Bill Branson, photographer.<br />

with academic collaborators showed that<br />

under properly controlled conditions, it<br />

is possible to perform complete tumor<br />

microarray analysis at several independent<br />

laboratories for a single study. The investigators<br />

assessed the comparability <strong>of</strong> data<br />

from four laboratories that are conducting<br />

a large microarray pr<strong>of</strong>iling confirmation<br />

project in lung cancer. To test the feasibility<br />

<strong>of</strong> combining data across laboratories,<br />

the authors analyzed frozen tumor tissues,<br />

cell lines, <strong>and</strong> purified RNA at each <strong>of</strong><br />

the four laboratories. The laboratories<br />

used the same protocol for all <strong>of</strong> the<br />

tissue-processing steps, RNA extraction,<br />

<strong>and</strong> microarray analysis. The investigators<br />

observed high within-laboratory <strong>and</strong><br />

between-laboratory correlations on the<br />

40 ■ P R O G R A M A C C O M P L I S H M E N T S 2 0 0 6<br />

■ ■ ■<br />

A CDP statistician working with academic collaborators showed<br />

that under properly controlled conditions, it is possible<br />

to perform complete tumor microarray analysis<br />

at several independent laboratories for a single study.<br />

purified RNA samples, cell lines, <strong>and</strong> frozen<br />

tumor tissues. Correlations within laboratories<br />

were only slightly stronger than<br />

between laboratories.<br />

Dobbin KK, Beer DG, Meyerson M, Yeatman TJ,<br />

Gerald WL, Jacobson JW, Conley B, Buetow KH,<br />

Heiskanen M, Simon RM, Minna JD, Girard L,<br />

Misek DE, Taylor JM, Hanash S, Naoki K, Hayes<br />

DN, Ladd-Acosta C, Enkemann SA, Viale A,<br />

Giordano TJ. Interlaboratory comparability<br />

study <strong>of</strong> cancer gene expression analysis using<br />

oligonucleotide microarrays. Clin <strong>Cancer</strong> Res<br />

2005:11;565–72.<br />

Models for Diagnostic <strong>and</strong><br />

Predictive Biomarker Development<br />

<strong>and</strong> Validation<br />

CDP staff have worked with academic<br />

investigators through PACCT to develop<br />

strategies for effective development <strong>and</strong><br />

validation <strong>of</strong> diagnostic <strong>and</strong> predictive<br />

biomarkers. CDP staff communicate these<br />

strategies to the cancer research community<br />

through a series <strong>of</strong> public presentations<br />

<strong>and</strong> publications in order to facilitate<br />

more effective development <strong>of</strong> clinical<br />

tests. In combination with the REMARK<br />

guidelines, these publications have the<br />

potential to improve the quality <strong>of</strong> studies<br />

carried out to demonstrate a biomarker’s<br />

potential clinical utility.<br />

Jessup JM, Lively TG, Taube SE. Program for the<br />

Assessment <strong>of</strong> Clinical <strong>Cancer</strong> Tests (PACCT):<br />

implementing promising assays into clinical<br />

practice. Expert Rev Mol Diagn 2005:5;271–3.<br />

Taube SE, Abrams, JS. Program for the Assessment<br />

<strong>of</strong> Clinical <strong>Cancer</strong> Tests (PACCT): assisting<br />

the development <strong>of</strong> tailored cancer therapy.<br />

Personalized Med 2005:2;363–9.<br />

Taube SE, Jacobson, JW, Lively TG. <strong>Cancer</strong> diagnostics:<br />

decision criteria for marker utilization<br />

in the clinic. Am J Pharmacogenomics 2005:5;<br />

357–64.

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