Literature DB >> 17429141

Chromatin phenotype karyometry can predict recurrence in papillary urothelial neoplasms of low malignant potential.

Rodolfo Montironi1, Marina Scarpelli, Antonio Lopez-Beltran, Roberta Mazzucchelli, David Alberts, James Ranger-Moore, Hubert G Bartels, Peter W Hamilton, Janine Einspahr, Peter H Bartels.   

Abstract

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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Year:  2007        PMID: 17429141      PMCID: PMC4617991          DOI: 10.1155/2007/356464

Source DB:  PubMed          Journal:  Cell Oncol        ISSN: 1570-5870            Impact factor:   6.730


  10 in total

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2.  Quantitative characterization of preneoplastic progression using single-cell computed tomography and three-dimensional karyometry.

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3.  Global acetylation and methylation changes predict papillary urothelial neoplasia of low malignant potential recurrence: a quantitative analysis.

Authors:  R Mazzucchelli; M Scarpelli; A Lopez-Beltran; L Cheng; H Bartels; P H Bartels; D S Alberts; R Montironi
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10.  Long-term outcome of primary Papillary Urothelial Neoplasm of Low Malignant Potential (PUNLMP) including PUNLMP with inverted growth.

Authors:  Jay P Maxwell; Cheng Wang; Nicholas Wiebe; Asli Yilmaz; Kiril Trpkov
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  10 in total

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