2008
DOI: 10.1158/1078-0432.ccr-07-4937
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Prediction of Recurrence-Free Survival in Postoperative Non–Small Cell Lung Cancer Patients by Using an Integrated Model of Clinical Information and Gene Expression

Abstract: Purpose: One of the main challenges of lung cancer research is identifying patients at high risk for recurrence after surgical resection. Simple, accurate, and reproducible methods of evaluating individual risks of recurrence are needed. Experimental Design: Based on a combined analysis of time-to-recurrence data, censoring information, and microarray data from a set of 138 patients, we selected statistically significant genes thought to be predictive of disease recurrence. The number of genes was further redu… Show more

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Cited by 233 publications
(253 citation statements)
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“…Datasets used for prognostic signature discovery and validation were the adenocarcinoma (ADC) dataset from the DCC (n = 442) (10) and NSCLC datasets from Duke University (n = 89) (12) and SKKU (n = 138) (13). Six cases in the DCC with either unknown adjuvant treatment (adjuvant chemo therapy or radiation therapy) or unknown stage were excluded.…”
Section: Methodsmentioning
confidence: 99%
“…Datasets used for prognostic signature discovery and validation were the adenocarcinoma (ADC) dataset from the DCC (n = 442) (10) and NSCLC datasets from Duke University (n = 89) (12) and SKKU (n = 138) (13). Six cases in the DCC with either unknown adjuvant treatment (adjuvant chemo therapy or radiation therapy) or unknown stage were excluded.…”
Section: Methodsmentioning
confidence: 99%
“…21 We used the criteria of false discovery rate o0.1 and log 2 fold change 41.5 or o − 1.5. To evaluate the relationship between LAMC2 mRNA expression level and prognosis in NSCLC, we used three publicly available mRNA microarray data: the first cohort of 204 ADCs from Japanese National Cancer Center (JNCC set; HG-U133A Plus 2.0; GSE31210), 46 the second cohort of a mix of 63 ADCs and 75 SCCs from the Samsung Medical Center (SMC set; HG-U133A Plus 2.0; GSE8894), 47 and the third cohort of 59 ADCs and 52 SCCs from Duke University Medical Center (DUMC set; HG-U133A Plus 2.0; GSE3141). 48 Detailed methods were described in the Supplementary section.…”
Section: Methodsmentioning
confidence: 99%
“…4). Type 1 studies have compared the non-metastatic to metastatic primary tumors of different patients to discover genetic markers for metastasis (15,16). However, more specifically, they were designed to study dissemination, as the focused clinical variable is the presence or absence of metastatic spreads at the time of surgical resection.…”
Section: Discussionmentioning
confidence: 99%
“…However, more specifically, they were designed to study dissemination, as the focused clinical variable is the presence or absence of metastatic spreads at the time of surgical resection. By the nature of the study design, the samples of type 1 cannot be obtained from the same patient, and therefore type 1 study models often include many samples to overcome the person-to-person genetic variation (15,16). On the contrary, type 2 studies (longitudinal study models) have compared the 2 chronological samples separated by the colonization event under the identical genetic background of the same patient.…”
Section: Discussionmentioning
confidence: 99%