Gene-expression signature predicts postoperative recurrence in stage I non-small cell lung cancer patients.
Gene-expression signature predicts postoperative recurrence in stage I non-small cell lung cancer patients.
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DOI：
10.1371/journal.pone.0030880
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
You M
中科院分区：
文献类型：
--
作者：
Lu Y;Wang L;Liu P;Yang P;You M
About 30% stage I non-small cell lung cancer (NSCLC) patients undergoing resection will recur. Robust prognostic markers are required to better manage therapy options. The purpose of this study is to develop and validate a novel gene-expression signature that can predict tumor recurrence of stage I NSCLC patients. Cox proportional hazards regression analysis was performed to identify recurrence-related genes and a partial Cox regression model was used to generate a gene signature of recurrence in the training dataset −142 stage I lung adenocarcinomas without adjunctive therapy from the Director's Challenge Consortium. Four independent validation datasets, including GSE5843, GSE8894, and two other datasets provided by Mayo Clinic and Washington University, were used to assess the prediction accuracy by calculating the correlation between risk score estimated from gene expression and real recurrence-free survival time and AUC of time-dependent ROC analysis. Pathway-based survival analyses were also performed. 104 probesets correlated with recurrence in the training dataset. They are enriched in cell adhesion, apoptosis and regulation of cell proliferation. A 51-gene expression signature was identified to distinguish patients likely to develop tumor recurrence (Dxy = −0.83, P<1e-16) and this signature was validated in four independent datasets with AUC >85%. Multiple pathways including leukocyte transendothelial migration and cell adhesion were highly correlated with recurrence-free survival. The gene signature is highly predictive of recurrence in stage I NSCLC patients, which has important prognostic and therapeutic implications for the future management of these patients.
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影响因子：
5.8
作者：
Benito, M;Parker, J;Marron, JS
通讯作者：
Marron, JS
影响因子：
6.4
作者：
Iwatsuki, Masaaki;Mimori, Koshi;Mori, Masaki
通讯作者：
Mori, Masaki
影响因子：
15.8
作者：
Lu, Yan;Lemon, William;Liu, Peng-Yuan;Yi, Yijun;Morrison, Carl;Yang, Ping;Sun, Zhifu;Szoke, Janos;Gerald, William L.;Watson, Mark;Govindan, Ramaswamy;You, Ming
通讯作者：
You, Ming
影响因子：
82.9
作者：
Beer, DG;Kardia, SLR;Hanash, S
通讯作者：
Hanash, S
DOI：
10.1164/rccm.200401-066oc
发表时间：
2004-07-15
影响因子：
24.7
作者：
Borczuk, AC;Shah, L;Powell, CA
通讯作者：
Powell, CA