Bou Zgheib Nadim, Marchion Douglas C, Bush Stephen H, Judson Patricia L, Wenham Robert M, Apte Sachin M, Lancaster Johnathan M, Gonzalez-Bosquet Jesus
Department of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Department of Women's Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA; Chemical Biology and Molecular Medicine Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Oncol Lett. 2016 Jan;11(1):323-329. doi: 10.3892/ol.2015.3883. Epub 2015 Nov 6.
Patients with occult lymph node metastasis in endometrioid-type endometrial cancer (EC) are prone to the development of recurrences and have worse outcomes compared with patients without lymph node metastasis. In the current study, the aim was to identify molecular parameters associated with lymph node metastasis in EC clinically early-stage disease. A univariate analysis of differentially expressed genes, proteins and clinicopathological parameters (including myometrial invasion and tumor grade) was performed, comparing EC patients with and without lymph node metastasis (n=262 patients from The Cancer Genome Atlas). Significant parameters were introduced in a multivariate model and a gene expression pathway analysis. Lymph node metastasis was associated with expression of 268 unique genes (P<0.001), 19 unique proteins (P<0.05), tumor grade and myometrial invasion in univariate analysis. Multivariate analysis demonstrated 10 genes independently associated with lymph node metastasis and 4 independently associated proteins. Myometrial invasion was the only independent clinicopathological parameter associated with lymph node status. The enrichment pathway analysis demonstrated that expression of epidermal growth factor receptor, Bcl2 antagonist of cell death and phosphatase and tensin homolog pathways were significantly involved in lymph node metastasis (P≤0.001). A gene expression signature to predict lymph node status in EC was created for future validation. Few studies have focused on the association between EC's molecular characteristics and nodal metastasis. Defining molecular risk factors for EC lymphatic nodal metastasis may help to individualize treatment and improve patient outcomes.
与无淋巴结转移的患者相比,子宫内膜样型子宫内膜癌(EC)隐匿性淋巴结转移患者更容易复发,预后更差。在本研究中,目的是确定临床早期EC中与淋巴结转移相关的分子参数。对差异表达基因、蛋白质和临床病理参数(包括肌层浸润和肿瘤分级)进行单变量分析,比较有无淋巴结转移的EC患者(来自癌症基因组图谱的262例患者)。在多变量模型和基因表达通路分析中引入显著参数。单变量分析显示,淋巴结转移与268个独特基因的表达(P<0.001)、19个独特蛋白质的表达(P<0.05)、肿瘤分级和肌层浸润相关。多变量分析显示10个基因和4个蛋白质独立与淋巴结转移相关。肌层浸润是与淋巴结状态相关的唯一独立临床病理参数。富集通路分析表明,表皮生长因子受体、细胞死亡的Bcl2拮抗剂以及磷酸酶和张力蛋白同源物通路的表达显著参与淋巴结转移(P≤0.001)。创建了一个预测EC淋巴结状态的基因表达特征以供未来验证。很少有研究关注EC分子特征与淋巴结转移之间的关联。确定EC淋巴转移的分子危险因素可能有助于个体化治疗并改善患者预后。