Gosens Marleen J E M, van Krieken J Han J M, Marijnen Corrie A M, Meershoek-Klein Kranenbarg Elma, Putter Hein, Rutten Harm J, Bujko Krzysztof, van de Velde Cornelis J H, Nagtegaal Iris D
Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Clin Gastroenterol Hepatol. 2007 Aug;5(8):997-1003. doi: 10.1016/j.cgh.2007.03.016. Epub 2007 Jun 4.
BACKGROUND & AIMS: Staging of cancer is based on the TNM system. This valuable system takes only tumor-related parameters into account, but in the era of refined surgery and preoperative therapy treatment-related factors are of equal importance. By using rectal cancer as a model we explored the hypothesis that a combination of tumor- and treatment-related parameters will result in improved prognostication.
Standardized clinicopathologic and histologic factors considered predictive for survival were studied in eligible patients treated in a trial for rectal cancer (n = 1324). These factors were analyzed in relation to survival using log-rank tests, Kaplan-Meier curves, and Cox regression both individually and in combination, the latter including TNM staging. A second data set from an independent trial (n = 316) was used for data validation.
Multivariate analysis identified nodal status (P = .001) and circumferential margin (P = .001) involvement as the most important prognostic factors for survival. The combination of these factors formed an improved staging system (node status and circumferential margin [NCRM]) compared with the present TNM staging with respect to 5-year cancer-specific survival. The results were confirmed in our independent patient population.
NCRM staging of rectal cancer results in a broad range of survival rates and favorable patient grouping. Our data give strong evidence that a staging system combing tumor- and treatment-related factors provides better prognostic information than the classic TNM system, which is based solely on tumor-related factors. Similar results might be obtained in other types of cancer in which quality of treatment is important for outcome.
癌症分期基于TNM系统。这个有价值的系统仅考虑与肿瘤相关的参数,但在精细手术和术前治疗的时代,与治疗相关的因素同样重要。我们以直肠癌为模型,探讨了将与肿瘤和治疗相关的参数相结合可改善预后预测的假设。
在一项直肠癌试验中对符合条件的患者(n = 1324)进行了研究,这些患者的标准化临床病理和组织学因素被认为对生存具有预测性。使用对数秩检验、Kaplan-Meier曲线和Cox回归分别及联合分析这些因素与生存的关系,联合分析包括TNM分期。来自一项独立试验的第二个数据集(n = 316)用于数据验证。
多变量分析确定淋巴结状态(P = .001)和环周切缘受累(P = .001)是生存的最重要预后因素。与目前的TNM分期相比,这些因素的组合形成了一个改进的分期系统(淋巴结状态和环周切缘 [NCRM]),在5年癌症特异性生存方面表现更佳。结果在我们的独立患者群体中得到了证实。
直肠癌的NCRM分期导致了广泛的生存率和良好的患者分组。我们的数据有力地证明,一个结合了与肿瘤和治疗相关因素的分期系统比仅基于肿瘤相关因素的经典TNM系统能提供更好的预后信息。在其他治疗质量对预后很重要的癌症类型中可能会获得类似的结果。