Grotzer M A, Janss A J, Fung K, Biegel J A, Sutton L N, Rorke L B, Zhao H, Cnaan A, Phillips P C, Lee V M, Trojanowski J Q
Division of Oncology, Department of Pathology, The Children's Hospital of Philadelphia, USA.
J Clin Oncol. 2000 Mar;18(5):1027-35. doi: 10.1200/JCO.2000.18.5.1027.
To identify biologic prognostic factors in childhood primitive neuroectodermal tumors (PNET), including medulloblastoma, that accurately define patient groups with sufficiently good prognosis to permit a reduction in treatment intensity.
We determined expression levels of the neurotrophin receptor TrkC mRNA in formalin-fixed tumor samples from 87 well characterized PNET patients using in situ hybridization. Comparison of TrkC mRNA expression levels with clinical and other laboratory variables was performed using univariate and multivariate Cox regression analysis.
High TrkC mRNA expression was found to be associated more with higher 5-year cumulative survival rate than was low TrkC mRNA expression (89% v 46%, respectively). When compared with established clinical prognostic factors and laboratory variables of potential prognostic significance, TrkC mRNA expression, by univariate analysis, was found to be the single most powerful predictor of outcome (hazards ratio, 4.81; P <.00005), exceeding all clinical prognostic factors. In multivariate analysis, the hazards ratio remained significant (P <.00005).
High TrkC mRNA expression in PNET is a powerful independent predictor of favorable clinical outcome. Assessment of TrkC mRNA levels may aid in treatment planning for patients with PNETs and should be incorporated prospectively into PNET clinical trials.
确定儿童原始神经外胚层肿瘤(PNET),包括髓母细胞瘤中的生物学预后因素,这些因素能准确界定预后足够好的患者群体,从而允许降低治疗强度。
我们使用原位杂交技术测定了87例特征明确的PNET患者福尔马林固定肿瘤样本中神经营养因子受体TrkC mRNA的表达水平。采用单因素和多因素Cox回归分析,将TrkC mRNA表达水平与临床及其他实验室变量进行比较。
发现TrkC mRNA高表达比低表达与更高的5年累积生存率更相关(分别为89%对46%)。通过单因素分析,与已确立的临床预后因素及具有潜在预后意义的实验室变量相比,TrkC mRNA表达是最有力的预后单一预测指标(风险比,4.81;P <.00005),超过所有临床预后因素。在多因素分析中,风险比仍具有显著性(P <.00005)。
PNET中TrkC mRNA高表达是良好临床预后的有力独立预测指标。评估TrkC mRNA水平可能有助于PNET患者的治疗规划,应前瞻性地纳入PNET临床试验。