Prediction of Recurrence-Free Survival in Postoperative Non–Small Cell Lung Cancer Patients by Using an Integrated Model of Clinical Information and Gene Expression

Lee, Eung-Sirk; Son, Dae-Soon; Kim, Sung-Hyun; Lee, Jinseon; Jo, Jisuk; Han, Joungho; Kim, Heesue; Joo Lee, Hyun; Young Choi, Hye; Jung, Youngja; Park, Miyeon; Sung Lim, Yu; Kim, Kwhanmien; Mog Shim, Young; Chul Kim, Byung; Lee, Kyusang; Huh, Nam; Ko, Christopher; Park, Kyunghee; Won Lee, Jae; Soo Choi, Yong; Kim, Jhingook

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

Shared by NobleBlocks on Nov 14, 2008 • 12:00 AM UTC

Authors:

Eung-Sirk Lee

Dae-Soon Son

Sung-Hyun Kim

Abstract

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 ...

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