The Chromatin Pattern of Cell Nuclei Is of Prognostic Value for Renal Cell Carcinomas
Using a series of 105 renal cell carcinomas (RCCs) we investigated whether features quantitatively describing the appearance of Feulgen‐stained nuclei and, more particularly, of their chromatin (on the basis of computer‐assisted microscopy) can contribute any significant prognostic information. Thir...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
1998-01-01
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| Series: | Analytical Cellular Pathology |
| Online Access: | http://dx.doi.org/10.1155/1998/485143 |
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| _version_ | 1832547230153703424 |
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| author | Christine François Myriam Remmelink Michel Petein Roland van Velthoven André Danguy Eric Wespes Isabelle Salmon Robert Kiss Christine Decaestecker |
| author_facet | Christine François Myriam Remmelink Michel Petein Roland van Velthoven André Danguy Eric Wespes Isabelle Salmon Robert Kiss Christine Decaestecker |
| author_sort | Christine François |
| collection | DOAJ |
| description | Using a series of 105 renal cell carcinomas (RCCs) we investigated whether features quantitatively describing the appearance of Feulgen‐stained nuclei and, more particularly, of their chromatin (on the basis of computer‐assisted microscopy) can contribute any significant prognostic information. Thirty morphonuclear and 8 nuclear DNA content‐related variables were thus generated. The actual prognostic values of this set of cytometric variables was compared (by means of discriminant statistical analysis) to conventional diagnostic and/or prognostic markers including histopathological grades, tumour invasion levels and the presence or absence of metastases. We obtained complete clinical follow‐ups for 49 of the 105 RCC patients under study, making it possible to define a subset of patients with a bad prognosis (i.e., who died in the 12 months following nephrectomy) and a subset of patients with a good prognosis (i.e., who survived at least 24 months following nephrectomy). An original method of data analysis related to artificial intelligence (decision tree induction) enabled a strong prognostic model to be set up. In the case of 10 new patients, this model identified all the dead patients as having a bad survival status, with a total of 8 correct predictions. Another prognostic model similarly generated enabled the correct predictions to be confirmed. |
| format | Article |
| id | doaj-art-6fb6176c5d84496baba6eadf20c531b4 |
| institution | Kabale University |
| issn | 0921-8912 1878-3651 |
| language | English |
| publishDate | 1998-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Analytical Cellular Pathology |
| spelling | doaj-art-6fb6176c5d84496baba6eadf20c531b42025-02-03T06:45:28ZengWileyAnalytical Cellular Pathology0921-89121878-36511998-01-0116316117510.1155/1998/485143The Chromatin Pattern of Cell Nuclei Is of Prognostic Value for Renal Cell CarcinomasChristine François0Myriam Remmelink1Michel Petein2Roland van Velthoven3André Danguy4Eric Wespes5Isabelle Salmon6Robert Kiss7Christine Decaestecker8Laboratory of Histology, Faculty of Medicine, Université Libre de Bruxelles, Brussels, BelgiumDepartment of Pathology, Erasmus University Hospital, Brussels, BelgiumDepartment of Pathology, Erasmus University Hospital, Brussels, BelgiumDivision of Urology, Department of Surgery, J. Bordet Institute, Brussels, BelgiumLaboratory of Histology, Faculty of Medicine, Université Libre de Bruxelles, Brussels, BelgiumDepartment of Urology, Erasmus University Hospital, Brussels, BelgiumDepartment of Pathology, Erasmus University Hospital, Brussels, BelgiumLaboratory of Histology, Faculty of Medicine, Université Libre de Bruxelles, Brussels, BelgiumLaboratory of Histology, Faculty of Medicine, Université Libre de Bruxelles, Brussels, BelgiumUsing a series of 105 renal cell carcinomas (RCCs) we investigated whether features quantitatively describing the appearance of Feulgen‐stained nuclei and, more particularly, of their chromatin (on the basis of computer‐assisted microscopy) can contribute any significant prognostic information. Thirty morphonuclear and 8 nuclear DNA content‐related variables were thus generated. The actual prognostic values of this set of cytometric variables was compared (by means of discriminant statistical analysis) to conventional diagnostic and/or prognostic markers including histopathological grades, tumour invasion levels and the presence or absence of metastases. We obtained complete clinical follow‐ups for 49 of the 105 RCC patients under study, making it possible to define a subset of patients with a bad prognosis (i.e., who died in the 12 months following nephrectomy) and a subset of patients with a good prognosis (i.e., who survived at least 24 months following nephrectomy). An original method of data analysis related to artificial intelligence (decision tree induction) enabled a strong prognostic model to be set up. In the case of 10 new patients, this model identified all the dead patients as having a bad survival status, with a total of 8 correct predictions. Another prognostic model similarly generated enabled the correct predictions to be confirmed.http://dx.doi.org/10.1155/1998/485143 |
| spellingShingle | Christine François Myriam Remmelink Michel Petein Roland van Velthoven André Danguy Eric Wespes Isabelle Salmon Robert Kiss Christine Decaestecker The Chromatin Pattern of Cell Nuclei Is of Prognostic Value for Renal Cell Carcinomas Analytical Cellular Pathology |
| title | The Chromatin Pattern of Cell Nuclei Is of Prognostic Value for Renal Cell Carcinomas |
| title_full | The Chromatin Pattern of Cell Nuclei Is of Prognostic Value for Renal Cell Carcinomas |
| title_fullStr | The Chromatin Pattern of Cell Nuclei Is of Prognostic Value for Renal Cell Carcinomas |
| title_full_unstemmed | The Chromatin Pattern of Cell Nuclei Is of Prognostic Value for Renal Cell Carcinomas |
| title_short | The Chromatin Pattern of Cell Nuclei Is of Prognostic Value for Renal Cell Carcinomas |
| title_sort | chromatin pattern of cell nuclei is of prognostic value for renal cell carcinomas |
| url | http://dx.doi.org/10.1155/1998/485143 |
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