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伊马替尼初治胃肠间质瘤的自然史:基于有丝分裂指数和大小作为连续变量的 929 例长期随访回顾性分析和生存列线图的建立。

Natural history of imatinib-naive GISTs: a retrospective analysis of 929 cases with long-term follow-up and development of a survival nomogram based on mitotic index and size as continuous variables.

机构信息

Department of Pathology and Molecular Genetics, Treviso General Hospital, Italy.

出版信息

Am J Surg Pathol. 2011 Nov;35(11):1646-56. doi: 10.1097/PAS.0b013e31822d63a7.

Abstract

Gastrointestinal stromal tumor (GIST) natural history per se has not been extensively investigated yet, with most data being drawn from large studies with a relevant referral bias. Hence, the estimation of prognosis still remains a critical issue. We retrospectively evaluated 929 GISTs resected between 1980 and 2000 in 35 Italian institutions. A total of 526 patients were found to be suitable for refining risk assessment through the development of a survival nomogram. Median follow-up was 126 months. On testing for potential prognostic parameters, age, tumor site, size, and mitotic index proved to be predictors of OS on both univariable and multivariable Cox model analyses, whereas necrosis and cytonuclear atypia were significant on univariable analysis only. The discriminative ability of the model, including the parameters selected after a backward procedure (C=0.72), improved compared with the National Institutes of Health 2002 (C=0.64) and the National Comprehensive Cancer Network 2007 (C=0.63). On the basis of these data we developed a prognostic nomogram for survival that considers site, size, and mitotic index as continuous variables, providing estimates stratified for patients aged ≤65 and >65 years. This nomogram is a tool based on survival. It overcomes problems that result from artificial categorization of continuous variables. We believe that in the future this should also be attempted by nomograms based on the risk of relapse.

摘要

胃肠道间质瘤(GIST)的自然病史尚未得到广泛研究,大多数数据来自具有相关转诊偏倚的大型研究。因此,对预后的评估仍然是一个关键问题。我们回顾性评估了 1980 年至 2000 年间在 35 家意大利机构切除的 929 例 GIST。共有 526 例患者通过生存列线图的开发适合进行风险评估的细化。中位随访时间为 126 个月。在测试潜在的预后参数时,年龄、肿瘤部位、大小和有丝分裂指数在单变量和多变量 Cox 模型分析中均被证明是 OS 的预测因素,而坏死和核质异型性仅在单变量分析中具有统计学意义。与美国国立卫生研究院 2002 年(C=0.64)和美国国家综合癌症网络 2007 年(C=0.63)相比,该模型(C=0.72)包括后向程序选择的参数后,其区分能力有所提高。在此基础上,我们开发了一种基于生存的预后列线图,该列线图将部位、大小和有丝分裂指数作为连续变量考虑,为年龄≤65 岁和>65 岁的患者提供分层估计。该列线图是一种基于生存的工具。它克服了将连续变量人为分类所导致的问题。我们相信,在未来,基于复发风险的列线图也应该尝试这样做。

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