Wang Yan, Li Lv, Qu Zhenyun, Li Ruomeng, Bi Tie, Jiang Jiyong, Zhao Henan
Laboratory Center, Second Affiliated Hospital of Dalian Medical University, Dalian, P.R. China.
Department of Pathology, Second Affiliated Hospital of Dalian Medical University, Dalian, P.R. China.
Int J Oncol. 2014 Jun;44(6):1904-14. doi: 10.3892/ijo.2014.2359. Epub 2014 Mar 27.
Histological grade has already been recognized as a very important prognostic factor for ovarian papillary serous carcinoma (OPSC). On the basis of pathogenetic mechanisms, recent findings suggest a dualistic model of OPSC consisting of types I (low-grade) and II (high-grade) cancers. High-grade OPSC is responsible for most ovarian cancer deaths. The goal of our investigation was to identify the differences in key miRNAs and possible regulators through miRNA microarray chip analysis, as well as functional target prediction and clinical outcome between the low and high-grade OPSC patients. The pathogenic basis in differentiation of ovarian cancer subtypes was studied to provide insight into diagnosis and therapy for high-grade cases. Through microarray analysis, we found that miR-30a* and miR-30e* were the top 2 significantly different miRNAs between type I and type II OPSC patients, and both were remarkably downregulated in the latter type. ATF3 and MYC were indicated as potential co-targets of miR-30a* and miR-30e*, and showed a significant upregulation in type II patients. As ATF3 and MYC are often associated with aggressive behavior and poor differentiation, especially in human cancers, these results are in good agreement with our findings and point toward a regulating differentiation function of the miR-30a* and miR-30e* genes. Further analysis using leave‑one-out cross predictions and Kaplan-Meier survival analysis strongly suggested that miR-30a* and miR-30e* can be used as biomarkers to tailor histological grade before starting the regimen, and they showed important roles in ovarian cancer differentiation resulting in poorer prognosis. In general, miR-30a* and miR-30e* coupled with expression data that reveal pathogenic regulation to predict histological differentiation, may operate to direct the formation of early detection and therapeutic approaches to individual OPSC patients, especially differentiation therapy to high-grade cases.
组织学分级已被公认为是卵巢乳头状浆液性癌(OPSC)的一个非常重要的预后因素。基于发病机制,最近的研究结果提示OPSC存在一种二元模型,由I型(低级别)和II型(高级别)癌症组成。高级别OPSC导致了大多数卵巢癌死亡病例。我们研究的目的是通过miRNA微阵列芯片分析,以及低级别和高级别OPSC患者之间的功能靶点预测和临床结局,来确定关键miRNA和可能的调控因子的差异。对卵巢癌亚型分化的致病基础进行研究,以深入了解高级别病例的诊断和治疗。通过微阵列分析,我们发现miR-30a和miR-30e是I型和II型OPSC患者之间差异最显著的前两个miRNA,且二者在II型患者中均显著下调。ATF3和MYC被表明是miR-30a和miR-30e的潜在共同靶点,且在II型患者中显著上调。由于ATF3和MYC通常与侵袭性行为和低分化相关,尤其是在人类癌症中,这些结果与我们的发现高度一致,并表明miR-30a和miR-30e基因具有调控分化的功能。使用留一法交叉预测和Kaplan-Meier生存分析的进一步分析强烈表明,miR-30a和miR-30e可作为生物标志物在开始治疗方案前评估组织学分级,且它们在卵巢癌分化中发挥重要作用,导致预后较差。总体而言,miR-30a和miR-30e与揭示致病调控的表达数据相结合以预测组织学分化,可能有助于指导针对个体OPSC患者的早期检测和治疗方法的形成,尤其是针对高级别病例的分化治疗。