دورية أكاديمية
Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential
| العنوان: | Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential |
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| المؤلفون: | Rodolfo Montironi, Marina Scarpelli, Antonio Lopez-Beltran, Roberta Mazzucchelli, David Alberts, James Ranger-Moore, Hubert G. Bartels, Peter W. Hamilton, Janine Einspahr, Peter H. Bartels |
| المصدر: | Cellular Oncology, Vol 29, Iss 1, Pp 47-58 (2007) |
| بيانات النشر: | Wiley, 2007. |
| سنة النشر: | 2007 |
| المجموعة: | LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens LCC:Cytology |
| مصطلحات موضوعية: | Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Cytology, QH573-671 |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1570-5870 1875-8606 |
| Relation: | https://doaj.org/toc/1570-5870; https://doaj.org/toc/1875-8606 |
| DOI: | 10.1155/2007/356464 |
| URL الوصول: | https://doaj.org/article/51b20a9b30fb4ec5b45d7767a45a3963 |
| رقم الأكسشن: | edsdoj.51b20a9b30fb4ec5b45d7767a45a3963 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 15705870 18758606 |
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| DOI: | 10.1155/2007/356464 |