Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, Victoria, Australia.
Department of Molecular Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia.
Clin Cancer Res. 2018 Mar 15;24(6):1459-1472. doi: 10.1158/1078-0432.CCR-17-2485. Epub 2018 Jan 12.
The majority of gastric cancer patients are diagnosed with late-stage disease, for which distinct molecular subtypes have been identified that are potentially amenable to targeted therapies. However, there exists no molecular classification system with prognostic power for early-stage gastric cancer (EGC) because the molecular events promoting gastric cancer initiation remain ill-defined. miRNA microarrays were performed on gastric tissue from the preclinical EGC mouse model, prior to tumor initiation. Computation prediction algorithms were performed on multiple data sets and independent gastric cancer patient cohorts. Quantitative real-time PCR expression profiling was undertaken in -based mouse strains and human gastric cancer cells genetically engineered for suppressed activation of the oncogenic latent transcription factor STAT3. Human gastric cancer cells with modulated expression of the miR-200 family member miR-429 were also assessed for their proliferative response. Increased expression of miR-200 family members is associated with both tumor initiation in a STAT3-dependent manner in mice and EGC (i.e., stage IA) in patient cohorts. Overexpression of miR-429 also elicited contrasting pro- and antiproliferative responses in human gastric cancer cells depending on their cellular histologic subtype. We also identified a miR-200 family-regulated 15-gene signature that integrates multiple key current indicators of EGC, namely tumor invasion depth, differentiation, histology, and stage, and provides superior predictive power for overall survival compared with each EGC indicator alone. Collectively, our discovery of a STAT3-regulated, miR-200 family-associated gene signature specific for EGC, with predictive power, provides a molecular rationale to classify and stratify EGC patients for endoscopic treatment. .
大多数胃癌患者被诊断为晚期疾病,针对这些患者已经确定了一些潜在的靶向治疗方法的特定分子亚型。然而,对于早期胃癌(EGC),目前还没有具有预后能力的分子分类系统,因为促进胃癌发生的分子事件仍未明确。在临床前 EGC 小鼠模型的胃组织上进行了 miRNA 微阵列分析,在肿瘤发生之前。对多个数据集和独立的胃癌患者队列进行了计算预测算法。在基于 -的小鼠品系和遗传工程设计用于抑制致癌潜伏转录因子 STAT3 激活的人类胃癌细胞中进行了定量实时 PCR 表达谱分析。还评估了表达谱调节 miR-200 家族成员 miR-429 的人胃癌细胞的增殖反应。miR-200 家族成员的表达增加与 STAT3 依赖性的肿瘤起始有关,在 小鼠和患者队列中的 EGC(即 IA 期)中也是如此。miR-429 的过表达也会根据其细胞组织学亚型在人类胃癌细胞中引起相反的促增殖和抗增殖反应。我们还鉴定了一个 miR-200 家族调节的 15 个基因特征,该特征整合了多个当前 EGC 的关键指标,即肿瘤侵袭深度、分化、组织学和分期,并与每个 EGC 指标单独相比,提供了更好的总体生存预测能力。总的来说,我们发现了一个由 STAT3 调节的、与 miR-200 家族相关的、针对 EGC 的基因特征,具有预测能力,为 EGC 患者的内镜治疗提供了分类和分层的分子依据。