The signature from messenger RNA expression profiling can predict lymph node metastasis with high accuracy for non-small cell lung cancer.
BACKGROUND
The extent of regional lymph node (LN) metastasis is the most important factor in the evaluation of resectability and prognosis of non-small cell lung cancer (NSCLC) to increase the chance of complete cure. The authors attempted to deduce a group of genes from the analysis of mRNA expression profiles of the tumor tissues of NSCLC patients with or without LN metastasis, and make a classification model for better prediction of LN metastasis.


METHODS
The authors analyzed mRNA expression profiles of 79 NSCLC patients with or without LN metastasis, and deduced the gene signature for the predictive model of LN metastasis in lung cancer. The authors evaluated the predictive accuracy of each of four algorithms by applying them to another set of 33 NSCLC patients. Each algorithm's accuracy was calculated by 10-fold cross-validation, and a combined model showed a level of accuracy that was higher than any one of the better three component algorithms (i.e., ANN, DT, or NB). Avadis, SAS, ArrayXPath, and R-package were the statistical analysis software packages used.


RESULTS
The authors selected 949 genes using a classical permutation t test (p < 0.01) and finally obtained a gene signature consisting of 31 genes by adjustment of multiple-hypothesis testing. The LN metastasis prediction model derived from the signature (31 genes) and their characteristic interactions provided a predictive accuracy of 84.85% when applied to a test set of 33 patients.


CONCLUSIONS
The authors have demonstrated that their gene signature developed by the expression profiling of mRNAs from the primary tissue could predict the LN metastasis status of NSCLC.
Choi
Naeyun
N
Cancer Research Division, Center for Clinical Research, Samsung Biomedical Research Institute, Seoul, Korea.
Son
Dae-Soon
DS
Lee
Jinseon
J
Song
In-Seung
IS
Kim
Kyung-Ah
KA
Park
Sang-Ho
SH
Lim
Yoo-Sung
YS
Seo
Gil-Ju
GJ
Han
Jungho
J
Kim
Hyejin
H
Lee
Hye Won
HW
Kang
Jason Jong-Ho
JJ
Seo
Jeong-Sun
JS
Kim
Ju Han
JH
Kim
Jhingook
J
D002289:Carcinoma, Non-Small-Cell Lung / Q000235:genetics / Q000556:secondary*; D020869:Gene Expression Profiling; D006801:Humans; D008175:Lung Neoplasms / Q000235:genetics / Q000473:pathology*; D008207:Lymphatic Metastasis / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis; D012333:RNA, Messenger / Q000235:genetics*
D012333:RNA, Messenger