Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study.

by: , Kerby Shedden, Jeremy M G M Taylor, Steven A A Enkemann, Ming-Sound S Tsao, Timothy J J Yeatman, William L L Gerald, Steven Eschrich, Igor Jurisica, Thomas J J Giordano, David E E Misek, Andrew C C Chang, Chang Qi Q Zhu, Daniel Strumpf, Samir Hanash, Frances A A Shepherd, Keyue Ding, Lesley Seymour, Katsuhiko Naoki, Nathan Pennell, Barbara Weir, Roel Verhaak, Christine Ladd-Acosta, Todd Golub, Michael Gruidl, Anupama Sharma, Janos Szoke, Maureen Zakowski, Valerie Rusch, Mark Kris, Agnes Viale, Noriko Motoi, William Travis, Barbara Conley, Venkatraman E E Seshan, Matthew Meyerson, Rork Kuick, Kevin K K Dobbin, Tracy Lively, James W W Jacobson, David G G Beer, Kerby Shedden, Jeremy M G M Taylor, Steven A A Enkemann, Ming-Sound S Tsao, Timothy J J Yeatman, William L L Gerald, Steven Eschrich, Igor Jurisica, Thomas J J Giordano, David E E Misek, Andrew C C Chang, Chang Qi Q Zhu, Daniel Strumpf, Samir Hanash, Frances A A Shepherd, Keyue Ding, Lesley Seymour, Katsuhiko Naoki, Nathan Pennell, Barbara Weir, Roel Verhaak, Christine Ladd-Acosta, Todd Golub, Michael Gruidl, Anupama Sharma, Janos Szoke, Maureen Zakowski, Valerie Rusch, Mark Kris, Agnes Viale, Noriko Motoi, William Travis, Barbara Conley, Venkatraman E E Seshan, Matthew Meyerson, Rork Kuick, Kevin K K Dobbin, Tracy Lively, James W W Jacobson, David G G Beer

Nature medicine (20 July 2008)

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Abstract

Although prognostic gene expression signatures for survival in early-stage lung cancer have been proposed, for clinical application, it is critical to establish their performance across different subject populations and in different laboratories. Here we report a large, training-testing, multi-site, blinded validation study to characterize the performance of several prognostic models based on gene expression for 442 lung adenocarcinomas. The hypotheses proposed examined whether microarray measurements of gene expression either alone or combined with basic clinical covariates (stage, age, sex) could be used to predict overall survival in lung cancer subjects. Several models examined produced risk scores that substantially correlated with actual subject outcome. Most methods performed better with clinical data, supporting the combined use of clinical and molecular information when building prognostic models for early-stage lung cancer. This study also provides the largest available set of microarray data with extensive pathological and clinical annotation for lung adenocarcinomas.

@article{ste-gebsp-2008, abstract = {Although prognostic gene expression signatures for survival in early-stage lung cancer have been proposed, for clinical application, it is critical to establish their performance across different subject populations and in different laboratories. Here we report a large, training-testing, multi-site, blinded validation study to characterize the performance of several prognostic models based on gene expression for 442 lung adenocarcinomas. The hypotheses proposed examined whether microarray measurements of gene expression either alone or combined with basic clinical covariates (stage, age, sex) could be used to predict overall survival in lung cancer subjects. Several models examined produced risk scores that substantially correlated with actual subject outcome. Most methods performed better with clinical data, supporting the combined use of clinical and molecular information when building prognostic models for early-stage lung cancer. This study also provides the largest available set of microarray data with extensive pathological and clinical annotation for lung adenocarcinomas.}, address = {The consortium consists of the Writing Committee plus additional participants as detailed in the Author Contributions section.}, author = { and Shedden, Kerby and Taylor, Jeremy M G M. and Enkemann, Steven A A. and Tsao, Ming-Sound S. and Yeatman, Timothy J J. and Gerald, William L L. and Eschrich, Steven and Jurisica, Igor and Giordano, Thomas J J. and Misek, David E E. and Chang, Andrew C C. and Zhu, Chang Qi Q. and Strumpf, Daniel and Hanash, Samir and Shepherd, Frances A A. and Ding, Keyue and Seymour, Lesley and Naoki, Katsuhiko and Pennell, Nathan and Weir, Barbara and Verhaak, Roel and Ladd-Acosta, Christine and Golub, Todd and Gruidl, Michael and Sharma, Anupama and Szoke, Janos and Zakowski, Maureen and Rusch, Valerie and Kris, Mark and Viale, Agnes and Motoi, Noriko and Travis, William and Conley, Barbara and Seshan, Venkatraman E E. and Meyerson, Matthew and Kuick, Rork and Dobbin, Kevin K K. and Lively, Tracy and Jacobson, James W W. and Beer, David G G. and Shedden, Kerby and Taylor, Jeremy M G M. and Enkemann, Steven A A. and Tsao, Ming-Sound S. and Yeatman, Timothy J J. and Gerald, William L L. and Eschrich, Steven and Jurisica, Igor and Giordano, Thomas J J. and Misek, David E E. and Chang, Andrew C C. and Zhu, Chang Qi Q. and Strumpf, Daniel and Hanash, Samir and Shepherd, Frances A A. and Ding, Keyue and Seymour, Lesley and Naoki, Katsuhiko and Pennell, Nathan and Weir, Barbara and Verhaak, Roel and Ladd-Acosta, Christine and Golub, Todd and Gruidl, Michael and Sharma, Anupama and Szoke, Janos and Zakowski, Maureen and Rusch, Valerie and Kris, Mark and Viale, Agnes and Motoi, Noriko and Travis, William and Conley, Barbara and Seshan, Venkatraman E E. and Meyerson, Matthew and Kuick, Rork and Dobbin, Kevin K K. and Lively, Tracy and Jacobson, James W W. and Beer, David G G. }, citeulike-article-id = {3033534}, doi = {http://dx.doi.org/10.1038/nm.1790}, issn = {1546-170X}, journal = {Nature medicine}, keywords = {cancer\_classification, gene\_expression\_compendium\_dataset}, month = {July}, posted-at = {2008-08-06 23:02:17}, priority = {2}, title = {Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study.}, url = {http://dx.doi.org/10.1038/nm.1790}, year = {2008} }

RIS record

TY - JOUR ID - ste-gebsp-2008 L3 - citeulike-article-id:3033534 TI - Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study. JF - Nature medicine AD - The consortium consists of the Writing Committee plus additional participants as detailed in the Author Contributions section. SN - 1546-170X N2 - Although prognostic gene expression signatures for survival in early-stage lung cancer have been proposed, for clinical application, it is critical to establish their performance across different subject populations and in different laboratories. Here we report a large, training-testing, multi-site, blinded validation study to characterize the performance of several prognostic models based on gene expression for 442 lung adenocarcinomas. The hypotheses proposed examined whether microarray measurements of gene expression either alone or combined with basic clinical covariates (stage, age, sex) could be used to predict overall survival in lung cancer subjects. Several models examined produced risk scores that substantially correlated with actual subject outcome. Most methods performed better with clinical data, supporting the combined use of clinical and molecular information when building prognostic models for early-stage lung cancer. This study also provides the largest available set of microarray data with extensive pathological and clinical annotation for lung adenocarcinomas. KW - cancer_classification KW - gene_expression_compendium_dataset AU - Shedden, Kerby AU - Taylor, Jeremy M G AU - Enkemann, Steven A AU - Tsao, Ming-Sound AU - Yeatman, Timothy J AU - Gerald, William L AU - Eschrich, Steven AU - Jurisica, Igor AU - Giordano, Thomas J AU - Misek, David E AU - Chang, Andrew C AU - Zhu, Chang Qi AU - Strumpf, Daniel AU - Hanash, Samir AU - Shepherd, Frances A AU - Ding, Keyue AU - Seymour, Lesley AU - Naoki, Katsuhiko AU - Pennell, Nathan AU - Weir, Barbara AU - Verhaak, Roel AU - Ladd-Acosta, Christine AU - Golub, Todd AU - Gruidl, Michael AU - Sharma, Anupama AU - Szoke, Janos AU - Zakowski, Maureen AU - Rusch, Valerie AU - Kris, Mark AU - Viale, Agnes AU - Motoi, Noriko AU - Travis, William AU - Conley, Barbara AU - Seshan, Venkatraman E AU - Meyerson, Matthew AU - Kuick, Rork AU - Dobbin, Kevin K AU - Lively, Tracy AU - Jacobson, James W AU - Beer, David G AU - Shedden, Kerby AU - Taylor, Jeremy M G AU - Enkemann, Steven A AU - Tsao, Ming-Sound AU - Yeatman, Timothy J AU - Gerald, William L AU - Eschrich, Steven AU - Jurisica, Igor AU - Giordano, Thomas J AU - Misek, David E AU - Chang, Andrew C AU - Zhu, Chang Qi AU - Strumpf, Daniel AU - Hanash, Samir AU - Shepherd, Frances A AU - Ding, Keyue AU - Seymour, Lesley AU - Naoki, Katsuhiko AU - Pennell, Nathan AU - Weir, Barbara AU - Verhaak, Roel AU - Ladd-Acosta, Christine AU - Golub, Todd AU - Gruidl, Michael AU - Sharma, Anupama AU - Szoke, Janos AU - Zakowski, Maureen AU - Rusch, Valerie AU - Kris, Mark AU - Viale, Agnes AU - Motoi, Noriko AU - Travis, William AU - Conley, Barbara AU - Seshan, Venkatraman E AU - Meyerson, Matthew AU - Kuick, Rork AU - Dobbin, Kevin K AU - Lively, Tracy AU - Jacobson, James W AU - Beer, David G PY - 2008/07/20/ UR - http://dx.doi.org/10.1038/nm.1790 ER -

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