乳腺癌和肺腺癌表达数据筛选骨癌痛潜在致痛基因

SCREEN FOR POTENTIAL PAIN CAUSING GENES IN BREAST CANCER AND LUNG ADENOCARCINOMA USING BIOINFORMATICS

摘要:

目的：通过乳腺癌和肺腺癌表达数据分析，筛选出骨癌痛潜在的致痛基因，以及评估该筛选方法的可行性。方法：采用生物信息学技术分析TCGA数据库中乳腺癌和肺腺癌的基因表达数据，并通过与人类分泌组蛋白基因比对，获得乳腺癌和肺腺癌中表达趋势一致的分泌组蛋白差异基因。随后通过Kyoto Encyclopedia of Genes and Genomes (KEGG)通路富集分析这些差异基因的所在通路。结果：和正常样本相比，乳腺癌样本中有1422个基因表达上调，2124个基因表达下调；肺腺癌中1106个基因表达上调，3133个基因表达下调。其中，86个分泌组蛋白对应基因在乳腺癌和肺腺癌中一致上调，而244个分泌组蛋白对应基因在乳腺癌和肺腺癌中一致下调。对这330个差异基因进行KEGG富集分析，发现了细胞因子-细胞因子受体相互作用等20条通路具有显著差异。结论：肿瘤表达数据挖掘能够筛选出数百个潜在的致痛基因，其中多个基因已有报道参与了骨癌痛的发生和维持，说明该筛选方法可靠、易行。

Abstract:

Objective: To screen for potential pain causing genes by analyzing the gene expression data of breast cancer and lung adenocarcinoma using bioinformatics and to evaluate the feasibility of this method. Methods: By analyzing the gene expression data of breast cancer and lung adenocarcinoma in the TCGA database using bioinformatics, and then comparing with human secretome genes, we obtained the secretome genes that were consistent between breast cancer and lung adenocarcinoma. Then, the pathways of these differentially expressed genes were analyzed by KEGG pathway enrichment. Results: Compared with normal samples, 1422 genes in breast cancer samples were upregulated and 2124 genes were down-regulated. In lung adenocarcinoma, 1106 genes were up-regulated and 3133 genes were down-regulated. Among them, 86 secretome genes were both up-regulated in breast cancer and lung adenocarcinoma, while 244 secretome genes were both down-regulated. By KEGG pathway enrichment analysis of these 330 differentially expressed genes, there were 20 pathways such as cytokine-cytokine receptor interaction pathway that had changed significantly. Conclusion: Analyzing tumor gene expression data have screened out dozens of potential pain causing genes, in which many of them have been reported to be involved in the occurrence and maintenance of cancer induced bone pain, indicating that the screening method is convenient and feasible.