Generating a robust prediction model for stage I lung adenocarcinoma recurrence after surgical resection.

ABSTRACT: Lung cancer mortality remains high even after successful resection. Adjuvant treatment benefits stage II and III patients, but not stage I patients, and most studies fail to predict recurrence in stage I patients. Our study included 211 lung adenocarcinoma patients (stages I-IIIA; 81% stage I) who received curative resections at Taipei Veterans General Hospital between January 2001 and December 2012. We generated a prediction model using 153 samples, with validation using an additional 58 clinical outcome-blinded samples. Gene expression profiles were generated using formalin-fixed, paraffin-embedded tissue samples and microarrays. Data analysis was performed using a supervised clustering method. The prediction model generated from mixed stage samples successfully separated patients at hig

SUBMITTER: Wu YC 

PROVIDER: S-EPMC5668084 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature