2008
DOI: 10.1038/nm.1790
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Gene expression–based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study

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

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Cited by 958 publications
(755 citation statements)
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“…33,34 Modulation and interactions of these cytokine productions may be pivotal for the control of inflammation and tumor progression. Besides, recent studies using gene expression assays have been used to predict the survival of patients with lung and colorectal carcinoma 35,36 and have proven to be more precise in the classification of the disease stage than the current systems. Richardsen 38 also found high expression of COX-2, tumor growth factor-b and Ki67 in metastatic primary prostate carcinoma compared with non-metastatic cancers.…”
Section: Discussionmentioning
confidence: 99%
“…33,34 Modulation and interactions of these cytokine productions may be pivotal for the control of inflammation and tumor progression. Besides, recent studies using gene expression assays have been used to predict the survival of patients with lung and colorectal carcinoma 35,36 and have proven to be more precise in the classification of the disease stage than the current systems. Richardsen 38 also found high expression of COX-2, tumor growth factor-b and Ki67 in metastatic primary prostate carcinoma compared with non-metastatic cancers.…”
Section: Discussionmentioning
confidence: 99%
“…We queried Gene Expression Omnibus (GEO) with the keyword “lung” and with the platform set to “GPL570” or “GPL96,” and then selected datasets with a sample size of more than 30. As a result, we got six datasets on platform GPL570, including GSE10245 (n = 40), 34 GSE19188 (n = 110), 35 GSE30219 (n = 83), 36 GSE31210 (n = 224), 37,38 GSE37745 (n = 91), 39 and GSE50081 (n = 128), 40 and five datasets on platform GPL96, including GSE10072 (n = 107), 41 GSE14814 (n = 71), 42 GSE31547 (n = 50), 43 GSE68465 (n = 353), 44 and GSE7670 (n = 54). 45 Detailed information about the datasets is presented in Table 1; the sample numbers are the result of removing patients treated with chemotherapy or radiotherapy.…”
Section: Methodsmentioning
confidence: 99%
“…To further validate the relevance of this classification in primary tumors, we performed hierarchical cluster analysis using publicly available data of 442 primary lung adenocarcinoma cases, 37 using the genes selectively expressed in Group I and Group II. As shown in Figure 4A, primary lung adenocarcinoma cases were divided into three clusters (Cluster A, B, and C), reflecting the intertumoral heterogeneity of primary tumors as compared to cell lines.…”
Section: Hierarchical Cluster Analysis Of Primary Tumorsmentioning
confidence: 99%