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首页> 外文期刊>Cellular oncology >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：染色质表型核定法可以预测低恶性潜能的乳头尿路上皮肿瘤的复发。

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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）的核进行核力评估表明，表型存在细微差异，与复发相关疾病研究目的：为了验证较大样本量的探索性研究结果。材料：对85例PUNLMP患者的苏木精和曙红染色切片进行了93个测量特征的分析。 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。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，试图对病例进行分类并确定PUNLMP病变复发的生物标志物。结果：验证是通过许多单独的方法进行的。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。病例分类显示非复发病例正确分类为61％，复发病例正确分类为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数据分为三个独立的数据集。平均正确分类为92.8％（训练集）和84.6％（测试集）。结论：我们的验证研究检测到非复发性和复发性PUNLMP之间的染色质组织状态存在视觉上的差异，从而提供了一种非常稳定的方法，可以通过karyometry预测低恶性的乳头状尿路上皮肿瘤的复发。

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