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Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential

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...

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Autores principales: Montironi, Rodolfo, Scarpelli, Marina, Lopez-Beltran, Antonio, Mazzucchelli, Roberta, Alberts, David, Ranger-Moore, James, Bartels, Hubert G., Hamilton, Peter W., Einspahr, Janine, Bartels, Peter H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4617991/
https://www.ncbi.nlm.nih.gov/pubmed/17429141
http://dx.doi.org/10.1155/2007/356464
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author Montironi, Rodolfo
Scarpelli, Marina
Lopez-Beltran, Antonio
Mazzucchelli, Roberta
Alberts, David
Ranger-Moore, James
Bartels, Hubert G.
Hamilton, Peter W.
Einspahr, Janine
Bartels, Peter H.
author_facet Montironi, Rodolfo
Scarpelli, Marina
Lopez-Beltran, Antonio
Mazzucchelli, Roberta
Alberts, David
Ranger-Moore, James
Bartels, Hubert G.
Hamilton, Peter W.
Einspahr, Janine
Bartels, Peter H.
author_sort Montironi, Rodolfo
collection PubMed
description 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.
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spelling pubmed-46179912016-01-12 Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential Montironi, Rodolfo Scarpelli, Marina Lopez-Beltran, Antonio Mazzucchelli, Roberta Alberts, David Ranger-Moore, James Bartels, Hubert G. Hamilton, Peter W. Einspahr, Janine Bartels, Peter H. Cell Oncol Other 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. IOS Press 2007 2007-04-03 /pmc/articles/PMC4617991/ /pubmed/17429141 http://dx.doi.org/10.1155/2007/356464 Text en Copyright © 2007 Hindawi Publishing Corporation and the authors.
spellingShingle Other
Montironi, Rodolfo
Scarpelli, Marina
Lopez-Beltran, Antonio
Mazzucchelli, Roberta
Alberts, David
Ranger-Moore, James
Bartels, Hubert G.
Hamilton, Peter W.
Einspahr, Janine
Bartels, Peter H.
Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential
title Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential
title_full Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential
title_fullStr Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential
title_full_unstemmed Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential
title_short Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential
title_sort chromatin phenotype karyometry can predict recurrence in papillary urothelial neoplasms of low malignant potential
topic Other
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4617991/
https://www.ncbi.nlm.nih.gov/pubmed/17429141
http://dx.doi.org/10.1155/2007/356464
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