a Research Center of Biostatistics and Computational Pharmacy , China Pharmaceutical University , Nanjing , P.R.China.
b State Key Laboratory of Natural Medicine , China Pharmaceutical University , Nanjing , P.R. China.
Cancer Biol Ther. 2019;20(2):227-235. doi: 10.1080/15384047.2018.1523853. Epub 2018 Oct 25.
Uterine carcinosarcomas (UCSs) are aggressive rare tumors recognized as malignancies composed of metaplastic transformation of epithelial elements. Nay no comprehensive molecular classification has been applied to UCS to guide targeted therapies so far, which motivated us to subtyping UCS by aggregating multiple genomic platform data.
We classified UCS into three distinct subtypes with different clinicopathologic and molecular characterization by using similarity network fusion under consensus clustering framework (SNFCC) to aggregate four genomic data platforms of 55 UCS patients. Differences across subtypes were extracted by functional enrichment, gene mutations and clinical features. Subtypes were further distinguished by putative biomarkers. We also determined associations between individual oncogenes and chemotherapeutics to discuss subtype-specific drug sensitivity.
Functional enrichment analysis of the subtype-specific differential expression genes endowed three subtypes new designation: Myo, Cell and Hormone. Mutations in PTEN, PIK3CA, ARID1A and PPP2R1A altered across subtypes. The epithelial-to-mesenchymal transition (EMT) score distinguished Myo from another two subtypes whereby a high EMT scores prevalently existed and each case was judged as M (mesenchymal) phenotype in Myo subtype. Through the drug sensitivity analysis, we found that the response to - tinib drugs is quite different across subtypes according to expression level. Additionally, different subtypes' response to broad-spectrum anti-cancer drug paclitaxel may be also different.
In this study, we identified three distinct molecular subtypes of UCS with different features. Subtypes were also revealed to have different sensitivity to existing chemotherapy drugs, which may support in-depth study of subtype-specific dosing regimens.
子宫癌肉瘤(UCS)是一种侵袭性罕见肿瘤,被认为是由上皮成分的化生转化引起的恶性肿瘤。迄今为止,尚未有全面的分子分类方法应用于 UCS 以指导靶向治疗,这促使我们通过聚合多个基因组平台数据对 UCS 进行亚型分类。
我们使用共识聚类框架下的相似网络融合(SNFCC)对 55 名 UCS 患者的四个基因组数据平台进行分类,将 UCS 分为具有不同临床病理和分子特征的三个不同亚型。通过功能富集、基因突变和临床特征提取亚型间的差异。通过假定的生物标志物进一步区分亚型。我们还确定了单个癌基因与化疗药物之间的关联,以讨论亚型特异性药物敏感性。
对亚型特异性差异表达基因的功能富集分析赋予了三个亚型新的命名:Myo、Cell 和 Hormone。PTEN、PIK3CA、ARID1A 和 PPP2R1A 的突变在不同的亚型中发生改变。上皮间质转化(EMT)评分将 Myo 与另外两个亚型区分开来,其中 EMT 评分较高,Myo 亚型中的每个病例均被判断为 M(间充质)表型。通过药物敏感性分析,我们发现根据表达水平,不同亚型对 - tinib 类药物的反应存在明显差异。此外,不同亚型对广谱抗癌药物紫杉醇的反应也可能不同。
在这项研究中,我们确定了 UCS 的三个不同的分子亚型,具有不同的特征。还揭示了不同亚型对现有化疗药物的敏感性不同,这可能支持针对特定亚型的剂量方案的深入研究。