Laboratory of Experimental Oncology, Istituto Ortopedico Rizzoli, University of Bologna, Bologna, Italy.
Histopathology. 2010 Jul;57(1):59-72. doi: 10.1111/j.1365-2559.2010.03597.x.
To identify candidate prognostic biological markers useful in selecting high-risk patients with classic primary giant cell tumours (GCT). GCT specimens with different behaviour associated with an increased risk of local and/or distant relapses were studied.
Screening mRNA microarray analysis followed by real-time polymerase chain reaction and immunohistochemistry on tissue microarray sections was used to validate the prognostic role of differentially expressed genes on a larger series by statistical analysis tests. Global gene expression profiling identified 109 differentially expressed genes according to prognosis. A correlation was found between mRNA levels and clinical outcome identifying Tenascin C (TNC) as the most significant prognostic biological marker. By means of backward Wald logistic regression, TNC overexpression defined an eightfold increased risk for metastasis and fourfold for local recurrence. At the protein level, TNC immunoreactivity resulted in a significant difference in the disease-free survival probability curves, providing a stratification for GCT patients, useful for predicting relapse.
Our study provides important data for the selection of biomarkers with a significant clinical impact and suggests the importance of TNC expression in identifying GCT patients at a higher risk of relapse for closer follow-up and adjuvant medical therapy.
确定有助于选择经典原发性巨细胞瘤(GCT)高危患者的候选预后生物标志物。研究了与局部和/或远处复发风险增加相关的不同行为的 GCT 标本。
通过实时聚合酶链反应和组织微阵列切片免疫组织化学,对筛选出的 mRNA 微阵列分析进行验证,通过统计分析测试,对较大系列的差异表达基因的预后作用进行了验证。根据预后,全局基因表达谱鉴定了 109 个差异表达基因。发现 mRNA 水平与临床结果之间存在相关性,鉴定出腱糖蛋白 C(TNC)为最显著的预后生物标志物。通过后向 Wald 逻辑回归,TNC 过表达定义了转移风险增加 8 倍和局部复发风险增加 4 倍。在蛋白质水平上,TNC 免疫反应性导致无病生存率概率曲线有显著差异,为 GCT 患者提供了分层,有助于预测复发。
我们的研究为选择具有显著临床影响的生物标志物提供了重要数据,并表明 TNC 表达在识别 GCT 患者复发风险较高方面的重要性,以便进行更密切的随访和辅助药物治疗。