Prediction of Specific Subtypes and Common Markers of Non-Small Cell Lung Cancer Based on Competing Endogenous RNA Network

基于竞争性内源RNA网络预测非小细胞肺癌的特定亚型和常见标志物

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Abstract

BACKGROUND There are various pathological types of lung cancer, including squamous cell carcinoma and adenocarcinoma. Although both of them are lung cancers, there are significant differences in diagnosis, pathogenesis, location, imaging, metastasis, and treatment. According to the competing endogenous RNA (ceRNA) theory, long non-coding RNAs (lncRNAs) compete with encoding protein genes (mRNAs) to connect with miRNAs, thus affecting the level of mRNA.d MATERIAL AND METHODS First, using the t test, we identified mRNAs and lncRNAs that have different expressions (fold change >2, P.

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