The Signature from Messenger RNA Expression Profiling Can Predict Lymph Node Metastasis with High Accuracy for Non-small Cell Lung Cancer Naeyun Choi,

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The Signature from Messenger RNA Expression Profiling Can Predict Lymph Node Metastasis with High Accuracy for Non-small Cell Lung Cancer Naeyun Choi, MS, Dae-Soon Son, MS, Jinseon Lee, PhD, In-Seung Song, BS, Kyung-Ah Kim, MS, Sang-Ho Park, PhD, Yoo-Sung Lim, BS, Gil-Ju Seo, MS, Jungho Han, MD, Hyejin Kim, MS, Hye Won Lee, MS, Jason Jong-ho Kang, PhD, Jeong-Sun Seo, MD, PhD, Ju Han Kim, MD, PhD, Jhingook Kim, MD Journal of Thoracic Oncology Volume 1, Issue 7, Pages 622-628 (September 2006) DOI: 10.1016/S1556-0864(15)30373-7 Copyright © 2006 International Association for the Study of Lung Cancer Terms and Conditions

FIGURE 1 Supervised hierarchical clustering with average linkage method. Patients' samples are discriminated well by the presence or absence of LN metastasis. The left side in the heat map is LN metastasis-positive and the right side is LN metastasis-negative. Journal of Thoracic Oncology 2006 1, 622-628DOI: (10.1016/S1556-0864(15)30373-7) Copyright © 2006 International Association for the Study of Lung Cancer Terms and Conditions

FIGURE 2 Prediction flow of LN metastasis. Gene select and construct model using 79 training samples measures model performance for the test set (33 patients). Thirty-one genes were selected as a signature from the training set, and the resulting LN metastasis prediction model was evaluated for its predictive accuracy by applying it to the test set. Journal of Thoracic Oncology 2006 1, 622-628DOI: (10.1016/S1556-0864(15)30373-7) Copyright © 2006 International Association for the Study of Lung Cancer Terms and Conditions