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首页> 外文期刊>Cellular Oncology: Analytical Cellular Pathology >Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential
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Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential

机译：染色质表型Karyometry可以预测低恶性潜力的乳头状尿道上皮瘤的复发。

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Background: A preceding exploratory study (J. Clin. Pathol. 57(2004), 1201–1207) had shown that a karyometric assessment of nuclei from papillary urothelial neoplasms of low malignant potential (PUNLMP) revealed subtle differences in phenotype which correlated with recurrence of disease.Aim of the Study: To validate the results from the exploratory study on a larger sample size.Materials: 93 karyometric features were analyzed on haematoxylin and eosin-stained sections from 85 cases of PUNLMP. 45 cases were from patients who had a solitary PUNLMP lesion and were disease-free during a follow-up period of at least 8 years. The other 40 were from patients with a unifocal PUNLMP, with one or more recurrences in the follow-up. A combination of the previously defined classification functions together with a new P-index derived classification method was used in an attempt to classify cases and identify a biomarker of recurrence in PUNLMP lesions.Results: Validation was pursued by a number of separate approaches. First, the exact procedure from the exploratory study was applied to the large validation set. Second, since the discriminant function 2 of the exploratory study had been based on a small sample size, a new discriminant function was derived. The case classification showed a correct classification of 61% for non-recurrent and 74% for recurrent cases, respectively. Greater success was obtained by applying unsupervised learning technologies to take advantage of phenotypical composition (correct classification of 92%). This approach was validated by dividing the data into training and test sets with 2/3 of the cases assigned to the training sets, and 1/3 to the test sets, on a rotating basis, and validation of the classification rate was thus tested on three separate data sets by a leave-k-out process. The average correct classification was 92.8% (training set) and 84.6% (test set).Conclusions: Our validation study detected subvisual differences in chromatin organization state between non-recurrent and recurrent PUNLMP, thus allowing a very stable method of predicting recurrence of papillary urothelial neoplasms of low malignant potential by karyometry.
机译：背景：先前的一项探索性研究（J. Clin。Pathol。57（2004），1201-1207）表明，对来自恶性潜能低的乳头尿路上皮肿瘤（PUNLMP）的核进行核线法评估显示表型的细微差异与复发相关研究的目的：为了验证来自更大样本量的探索性研究的结果。材料：从85例PUNLMP的苏木精和曙红染色切片上分析了93个测量特征。 45例来自单发PUNLMP病变且在至少8年的随访期内无病。其他40例来自单灶性PUNLMP患者，随访中有一个或多个复发。将先前定义的分类功能与新的P-index衍生的分类方法结合使用，以尝试对病例进行分类并确定PUNLMP病变复发的生物标志物。结果：通过多种单独的方法进行验证。首先，将探索性研究的确切程序应用于大型验证集。其次，由于探索性研究的判别函数2是基于较小的样本量，因此得出了新的判别函数。病例分类显示正确分类，非复发病例分别为61％，复发病例为74％。通过应用无监督学习技术以利用表型组成（正确分类为92％）获得了更大的成功。通过将数据分为训练集和测试集对数据进行验证，将2/3的案例分配给训练集，将案例的1/3轮流分配给测试集，并以此对分类率进行验证通过淘汰程序将三个独立的数据集。结论：我们的验证研究检测到非复发性和复发性PUNLMP的染色质组织状态存在亚视觉差异，从而提供了一种非常稳定的预测乳头状瘤复发的方法，得出的平均正确分类为92.8％（训练组）和84.6％（测试组）。核磁共振法测定低恶性尿路上皮肿瘤。

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