Develop of ovarian cancer stem cell specific immunotherapy based on DNA microarray analysis

从几种人卵巢癌细胞系中，Hoechst33342用FACS分选系统分离出侧群（SP）和主群（MP）。DNA微阵列分析显示SP细胞和MP细胞之间存在一些特异性基因（干性基因特征），我们从干性基因特征（干性-免疫-基因特征：SIGS）中选择了免疫相关基因。接下来，我们用ssGSEA方法对人卵巢癌组织进行SIGS分析和评分。由于SIGS评分较高的患者预后明显较差，本文的分析结果可能有助于准确了解局部免疫状态和干细胞，并为应用免疫疗法治疗卵巢癌患者提供工具。

From several human ovarian cancer cell lines Hoechst33342 isolated Side population (SP) and major population (MP) by FACS sorting system. DNA microarray analysis showed some specific genes (stemness gene signature) between SP cells and MP cellls, and we chose immune-related genes from stemness gene signature （ Stem-Immuno-Gene Signature: SIGS). Next we analyzed and scored human ovarian caner tissues by using SIGS with ssGSEA method.As the cases with higher SIGS score were significantly worse prognosis, The analyses shown here may lead to a precise understanding of the local immune status and stemness and provide a tool for the application of immune therapies to treat ovarian cancer patients.