Gene expression correlates of clinical prostate cancer behavior
Prostate tumors are among the most heterogeneous of cancers, both histologically and clinically. Microarray expression analysis was used to determine whether global biological differences underlie common pathological features of prostate cancer and to identify genes that might anticipate the clinica...
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Veröffentlicht in: | Cancer cell 2002-03, Vol.1 (2), p.203-209 |
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creator | Singh, Dinesh Febbo, Phillip G. Ross, Kenneth Jackson, Donald G. Manola, Judith Ladd, Christine Tamayo, Pablo Renshaw, Andrew A. D'Amico, Anthony V. Richie, Jerome P. Lander, Eric S. Loda, Massimo Kantoff, Philip W. Golub, Todd R. Sellers, William R. |
description | Prostate tumors are among the most heterogeneous of cancers, both histologically and clinically. Microarray expression analysis was used to determine whether global biological differences underlie common pathological features of prostate cancer and to identify genes that might anticipate the clinical behavior of this disease. While no expression correlates of age, serum prostate specific antigen (PSA), and measures of local invasion were found, a set of genes was identified that strongly correlated with the state of tumor differentiation as measured by Gleason score. Moreover, a model using gene expression data alone accurately predicted patient outcome following prostatectomy. These results support the notion that the clinical behavior of prostate cancer is linked to underlying gene expression differences that are detectable at the time of diagnosis. |
doi_str_mv | 10.1016/S1535-6108(02)00030-2 |
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Microarray expression analysis was used to determine whether global biological differences underlie common pathological features of prostate cancer and to identify genes that might anticipate the clinical behavior of this disease. While no expression correlates of age, serum prostate specific antigen (PSA), and measures of local invasion were found, a set of genes was identified that strongly correlated with the state of tumor differentiation as measured by Gleason score. Moreover, a model using gene expression data alone accurately predicted patient outcome following prostatectomy. 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Microarray expression analysis was used to determine whether global biological differences underlie common pathological features of prostate cancer and to identify genes that might anticipate the clinical behavior of this disease. While no expression correlates of age, serum prostate specific antigen (PSA), and measures of local invasion were found, a set of genes was identified that strongly correlated with the state of tumor differentiation as measured by Gleason score. Moreover, a model using gene expression data alone accurately predicted patient outcome following prostatectomy. These results support the notion that the clinical behavior of prostate cancer is linked to underlying gene expression differences that are detectable at the time of diagnosis.</description><subject>Adult</subject><subject>Aged</subject><subject>Disease-Free Survival</subject><subject>Gene Expression Profiling</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Prostatic Neoplasms - classification</subject><subject>Prostatic Neoplasms - diagnosis</subject><subject>Prostatic Neoplasms - genetics</subject><subject>Prostatic Neoplasms - pathology</subject><subject>Reproducibility of Results</subject><subject>Risk Factors</subject><subject>Treatment Outcome</subject><issn>1535-6108</issn><issn>1878-3686</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkMtKAzEUhoMotlYfQZmV6GI0l8nMmVWRolUouFDXIU1OMDKdqcm06NubXsSlqxzC95_LR8g5ozeMsvL2hUkh85JRuKL8mlIqaM4PyJBBBbkooTxM9S8yICcxftCUY1V9TAaMUygTOCTjKbaY4dcyYIy-azPThYCN7jFmnctM41tvdJMtQxf79JsZ3RoM2Rzf9dp34ZQcOd1EPNu_I_L2cP86ecxnz9Onyd0sN0Ut-hzroqIg6wLAOC0Ypc4ZZMI6w5zUQGshoDQOrCjsvJTc1bYylgsOWqCpxYhc7vqmRT5XGHu18NFg0-gWu1VUFQMpgRf_ggwEFKwqEyh3oEmnxYBOLYNf6PCtGFUbxWqrWG38KcrVVrHiKXexH7CaL9D-pfZOEzDeAZh8rD0GFY3HZM36gKZXtvP_jPgBHMqK_Q</recordid><startdate>20020301</startdate><enddate>20020301</enddate><creator>Singh, Dinesh</creator><creator>Febbo, Phillip G.</creator><creator>Ross, Kenneth</creator><creator>Jackson, Donald G.</creator><creator>Manola, Judith</creator><creator>Ladd, Christine</creator><creator>Tamayo, Pablo</creator><creator>Renshaw, Andrew A.</creator><creator>D'Amico, Anthony V.</creator><creator>Richie, Jerome P.</creator><creator>Lander, Eric S.</creator><creator>Loda, Massimo</creator><creator>Kantoff, Philip W.</creator><creator>Golub, Todd R.</creator><creator>Sellers, William R.</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TO</scope><scope>H94</scope><scope>7X8</scope></search><sort><creationdate>20020301</creationdate><title>Gene expression correlates of clinical prostate cancer behavior</title><author>Singh, Dinesh ; 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subjects | Adult Aged Disease-Free Survival Gene Expression Profiling Humans Male Middle Aged Predictive Value of Tests Prognosis Prostatic Neoplasms - classification Prostatic Neoplasms - diagnosis Prostatic Neoplasms - genetics Prostatic Neoplasms - pathology Reproducibility of Results Risk Factors Treatment Outcome |
title | Gene expression correlates of clinical prostate cancer behavior |
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