Inability of immunohistochemistry to predict clinical outcomes of endometrial cancer patients
Inability of immunohistochemistry to predict clinical outcomes of endometrial cancer patients
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DOI：
10.1111/j.1048-891x.2004.014028.x
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发表时间：
2004-01-01
影响因子：
4.8
通讯作者：
Montz, FJ
中科院分区：
文献类型：
--
作者：
Gossett, DR;Alo, P;Montz, FJ
尽管有最佳的手术，一些早期子宫内膜癌患者仍会复发并死于疾病。许多免疫组织化学（IHC）鉴定的细胞产物（标记物）已被提出作为复发的预测因子。本研究描述了一系列子宫内膜癌的特征，这些子宫内膜癌具有先前描述的标记物以及尚未在子宫内膜癌中研究的标记物。患者和方法：对接受子宫内膜癌手术的妇女进行鉴定并获取标本。组织块评估10个IHC标记物。结果与最后已知的临床状况相关。结果：平均随访43个月；117例患者的完整数据。两名妇女死于其他原因；其余115例中，8例死于疾病，6例在最后随访时复发存活（12%）。血管内皮生长因子染色独立预测复发和死亡。然而，在多变量分析中，只有FIGO阶段预测结果。讨论：我们的目的是确定标志物，以预测哪些患有子宫内膜癌的妇女可能有疾病复发。我们评估了细胞周期调节蛋白、生长因子、激素受体和血管生成因子，但在多变量分析中没有发现任何独立预测结果的标志物。这可能反映了我们人群中少数的负面结果。
Introduction: Despite optimal surgery, some patients with early endometrial carcinoma develop recurrence and die of disease. A number of immunohistochemical (IHC)-identified cell products (markers) have been proposed as predictors of recurrence. This study characterizes a large series of endometrial carcinomas with previously described markers as well as markers that have not been investigated in endometrial carcinoma.Patients and methods: Women who had undergone surgery for endometrial carcinoma were identified and specimens accessed. Tissue blocks were evaluated for ten IHC markers. Results were correlated with last known clinical status.Results: Mean follow-up was 43 months; complete data were available on 117 patients. Two women died of other causes; of the remaining 115, eight died of disease and six were alive with recurrence at last follow-up (12%). Vascular endothelial growth factor staining independently predicted recurrence and death. However, in multivariate analyses, only FIGO stage predicted outcome.Discussion: Our goal was to identify markers to predict which women with endometrial carcinoma were likely to have disease recurrence. We evaluated cell-cycle regulatory proteins, growth factors, hormone receptors, and angiogenic factors, but did not identify any marker that independently predicted outcome in multivariate analysis. This may reflect the few negative outcomes in our population.