BACKGROUND Hepatocellular carcinoma (HCC) is a primary liver malignancy that mainly occurs in patients with chronic liver disease and cirrhosis. Risk factors for HCC include hepatitis B virus (HBV) infection. However, the specific role of HBV infection in HCC development is not yet completely understood. In order to reveal the effects of HBV on HCC, we compare the genes of HCC patients infected with HBV with those who are not infected. METHODS We encoded the genes of these two types of HCC in databases using enrichment scores of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway terms. A random forest algorithm was employed in order to distinguish these two types in the classifier, and a series of feature selection approaches was used in order to select their optimal features. Novel HBV-associated and -non-associated HCC genes were predicted, respectively, based on their optimal features in the classifier. A shortest-path algorithm was also employed in order to find all of the shortest-paths genes connecting the known related genes. RESULTS A total of 54 different features between HBV-associated and -non-associated HCC genes were identified. In total, 1236 and 881 novel related genes were predicted for HBV-associated and -non-associated HCC, respectively. By integrating the predicted genes and shortest path genes in their gene interaction network, we identified 679 common genes involved in the two types of HCC. CONCLUSION We identified the significantly different genetic features between two types of HCC. We also predicted related genes for the two types based on their specific features. Finally, we determined the common genes and features that were involved in both of these two types of HCC.

中文翻译：

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研究乙型肝炎病毒相关和非相关肝细胞癌的遗传特征。

背景技术肝细胞癌（HCC）是一种原发性肝恶性肿瘤，主要发生在患有慢性肝病和肝硬化的患者中。肝癌的危险因素包括乙型肝炎病毒（HBV）感染。但是，HBV感染在HCC发生中的具体作用尚未完全了解。为了揭示HBV对HCC的影响，我们比较了HBV感染者和未感染者的基因。方法我们使用基因本体论和《京都议定书》基因和基因组途径术语的富集得分，在数据库中编码了这两种类型的肝癌的基因。为了在分类器中区分这两种类型，采用了随机森林算法，并使用了一系列特征选择方法来选择它们的最佳特征。根据分类器中的最佳特征，分别预测了新的HBV相关和非相关HCC基因。为了找到所有连接已知相关基因的最短路径基因，还采用了最短路径算法。结果在HBV相关和非相关HCC基因之间共鉴定出54种不同特征。总共预测有HBV相关和非相关HCC的新相关基因1236和881。通过将预测的基因和最短路径基因整合到它们的基因相互作用网络中，我们确定了涉及这两种HCC的679个常见基因。结论我们确定了两种类型的肝癌之间显着不同的遗传特征。我们还根据其特定特征预测了这两种类型的相关基因。最后，