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目的分析乳腺癌新辅助化疗前活检组织的基因表达谱数据,筛选与T/FAC(多西他赛、氟尿嘧啶、多柔比星和环磷酰胺)或T/FEC(多西他赛、氟尿嘧啶、表柔比星和环磷酰胺)新辅助化疗方案治疗有效性显著相关的基因。方法从国际上已发表的相关文献中检索并获取乳腺癌基因表达谱数据,按照统一的新辅助化疗方式进行数据筛选,最终保留4个符合要求的数据集,共844个样本。其中样本按照化疗效果分为病理完全缓解(p CR)和残留浸润性癌(RD)两类。分析两组样本差异表达的基因,探讨其表达水平的变化与化疗疗效的相关性。结果通过分析,我们分别在4个数据集中找出显著差异的基因(校正P<0.05),按照表达水平的高低,分为p CR组相比RD组高表达的基因和低表达的基因两组。最后,将4个数据的结果整合,得到在4个数据集中同时高表达或低表达的基因,分别为34和42个。基于交集的差异表达基因,对样本进行无监督聚类,发现p CR和RD两组倾向性地分别富集在两类(一致性检验,P<0.05)。结论分析得到的76个差异表达基因与乳腺癌新辅助化疗疗效有关,可能成为新的化疗疗效预测标志物。
OBJECTIVE: To analyze gene expression profiling data of biopsy tissues before neoadjuvant chemotherapy in breast cancer and to screen the data of T / FAC (docetaxel, fluorouracil, doxorubicin and cyclophosphamide) or T / FEC (docetaxel, fluorouracil, Epirubicin and cyclophosphamide) neoadjuvant chemotherapy regimen significantly correlated with the effectiveness of the gene. Methods The gene expression profile of breast cancer was retrieved and obtained from the published literature in the world. The data were screened according to a unified neoadjuvant chemotherapy regimen. Finally, 4 eligible data sets of 844 samples were retained. Among them, the samples were divided into two groups: pathologic complete remission (p CR) and residual invasive carcinoma (RD) according to the chemotherapy effect. Analysis of two groups of differentially expressed genes, to explore the relationship between the changes in the expression level and the efficacy of chemotherapy. RESULTS: According to the analysis, we found significant differences among the four datasets (P <0.05, P <0.05). According to the expression levels, we divided them into two groups: high expression of RD group and low expression of gene group . Finally, the results of the four data were integrated to obtain the genes with high expression or low expression simultaneously in the four datasets, which were 34 and 42, respectively. Based on the differentially expressed genes at the intersection, unsupervised clustering of the samples revealed that both pCR and RD tended to be enriched in two groups, respectively (agreement, P <0.05). Conclusion The 76 differentially expressed genes were correlated with the efficacy of neoadjuvant chemotherapy in breast cancer, which may be a new marker of predicting the efficacy of chemotherapy.