National Centre for Cell Science, NCCS Complex, Pune, Maharashtra, India.
Clin Cancer Res. 2015 Nov 15;21(22):5151-63. doi: 10.1158/1078-0432.CCR-15-0505. Epub 2015 Jun 30.
Resolution of aberrant epigenetic changes leading to altered gene expression during transformation and tumor progression is pertinent for mechanistic understanding of disrupted pathways in cancer. Such changes provide for biomarkers that can be applied in drug screening and improved disease management.
Genome-wide profiling and analyses of promoter DNA methylation, histone modifications, and gene expression of an in vitro progression model of serous ovarian adenocarcinoma were carried out. Similar in silico analyses and comparison of methylation and gene expression of early- and late-grade ovarian cancer samples in The Cancer Genome Atlas assigned a clinical relevance to our study. Candidate biomarkers were evaluated for epigenetic drug treatments in experimental animal models on a background of differing tumor cell responses arising from intratumor heterogeneity.
Differentially regulated genes during tumor progression were identified through the previously mentioned analyses as candidate biomarkers. In examining the tumor suppressor PTGIS as a potential biomarker for treatment with either 5-Aza-dC or TSA, 5-Aza-dC effectively stabilized cell cycling, restricted genetic instability, and derepressed PTGIS expression, while TSA led to emergence of drug-resistant progenitors lacking PTGIS expression. Profiling MEST and RXRγ for curcumin and CBB1007, respectively, indicated an inability of curcumin and CBB1007 in restricting residual tumor regenerative capabilities.
Our study provides novel insights into epigenetic regulation in ovarian cancer progression and potential biomarkers for evaluating efficacy of epigenetic drugs in restricting residual tumor regeneration. Such approaches may assign a new functional interpretation of drug efficacy and cell tumor responses in ovarian cancer.
解决转化和肿瘤进展过程中导致基因表达改变的异常表观遗传变化,对于理解癌症中失调途径的机制至关重要。这些变化提供了可用于药物筛选和改善疾病管理的生物标志物。
对体外浆液性卵巢腺癌进展模型的启动子 DNA 甲基化、组蛋白修饰和基因表达进行了全基因组分析。对癌症基因组图谱中早期和晚期卵巢癌样本的类似的计算机分析和比较,将我们的研究与临床相关性联系起来。在不同肿瘤细胞反应的背景下,对候选生物标志物进行了实验动物模型中的表观遗传药物治疗评估。
通过上述分析,确定了肿瘤进展过程中差异调控的基因作为候选生物标志物。在研究 PTGIS 作为 5-Aza-dC 或 TSA 治疗的潜在生物标志物时,5-Aza-dC 有效地稳定了细胞周期,限制了遗传不稳定性,并使 PTGIS 表达去抑制,而 TSA 则导致缺乏 PTGIS 表达的耐药前体的出现。对 MEST 和 RXRγ 分别进行姜黄素和 CBB1007 的分析表明,姜黄素和 CBB1007 均无法限制残余肿瘤的再生能力。
我们的研究为卵巢癌进展中的表观遗传调控和评估表观遗传药物限制残余肿瘤再生能力的疗效的潜在生物标志物提供了新的见解。这些方法可能为卵巢癌中的药物疗效和细胞肿瘤反应赋予新的功能解释。