Oral Cancer Research Institute, College of Dentistry, Yonsei University, Seoul 120-752, Republic of Korea.
Oral Oncol. 2012 Apr;48(4):311-9. doi: 10.1016/j.oraloncology.2011.11.010. Epub 2011 Dec 3.
Lymph node metastasis is an important prognostic factor in oral squamous cell carcinoma. However, the lack of significant biomarkers for lymph node metastasis can cause patients to be inappropriately treated and produce a poor prognosis. Therefore, there is a need to identify gene sets that are associated with lymph node metastasis. In this study, we used three expression datasets obtained from a public database and selected candidate gene sets that were related with lymph node metastasis from two datasets and a combined dataset. We evaluated the selected gene set using OOB error rates in a validation dataset. The gene set detected from the combined dataset classified the lymph node status more accurately in the validation dataset and clear expression patterns classifying the lymph node status based on chromosomal location were observed. The combined dataset holds promise for use as a more accurate candidate gene set for the diagnosis of lymph node metastasis and the selected gene set could be used for biological validation in further studies.
淋巴结转移是口腔鳞状细胞癌的一个重要预后因素。然而，由于缺乏用于淋巴结转移的显著生物标志物，可能导致患者接受不适当的治疗，并产生不良预后。因此，需要识别与淋巴结转移相关的基因集。在这项研究中，我们使用了从公共数据库中获得的三个表达数据集，并从两个数据集和一个联合数据集中选择与淋巴结转移相关的候选基因集。我们使用验证数据集中的 OOB 错误率来评估所选基因集。从联合数据集中检测到的基因集在验证数据集中更准确地分类了淋巴结状态，并且观察到基于染色体位置分类淋巴结状态的清晰表达模式。联合数据集有望作为更准确的候选基因集用于诊断淋巴结转移，所选基因集可用于进一步研究中的生物学验证。
