Cargando…
Flow cytometric analysis of DNA content in human ovarian cancers.
A total of 155 samples from 101 patients with ovarian cancer were investigated using flow cytometry to evaluate the DNA index and the percentage of cells in the various cell cycle phases. Thirty-four samples were DNA diploid tumours, while the other 121 were DNA aneuploid tumours. The DNA index was...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
1989
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2247358/ https://www.ncbi.nlm.nih.gov/pubmed/2803914 |
_version_ | 1782150965244198912 |
---|---|
author | Erba, E. Ubezio, P. Pepe, S. Vaghi, M. Marsoni, S. Torri, W. Mangioni, C. Landoni, F. D'Incalci, M. |
author_facet | Erba, E. Ubezio, P. Pepe, S. Vaghi, M. Marsoni, S. Torri, W. Mangioni, C. Landoni, F. D'Incalci, M. |
author_sort | Erba, E. |
collection | PubMed |
description | A total of 155 samples from 101 patients with ovarian cancer were investigated using flow cytometry to evaluate the DNA index and the percentage of cells in the various cell cycle phases. Thirty-four samples were DNA diploid tumours, while the other 121 were DNA aneuploid tumours. The DNA index was very stable in different sites and over time in the same patient. Tumour stage and ploidy were significantly associated: stages III and IV tumour stage were more likely to be DNA aneuploid. Patients with residual tumour size at first surgery greater than 2 cm had a significantly larger number of DNA aneuploid than DNA diploid tumours. The DNA index was also related to the degree of differentiation of the tumours. The percentage of cells in the S phase of the cell cycle was significantly higher in DNA aneuploid and in poorly differentiated tumours than DNA diploid and well differentiated tumours. Multivariate analysis using the Cox model showed that the DNA index and the percentage of cells in S phase were not independent prognostic variables in this study. Prospectively collected data should be accumulated before assigning the DNA index an important role as a biological prognostic factor in ovarian cancer. |
format | Text |
id | pubmed-2247358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1989 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-22473582009-09-10 Flow cytometric analysis of DNA content in human ovarian cancers. Erba, E. Ubezio, P. Pepe, S. Vaghi, M. Marsoni, S. Torri, W. Mangioni, C. Landoni, F. D'Incalci, M. Br J Cancer Research Article A total of 155 samples from 101 patients with ovarian cancer were investigated using flow cytometry to evaluate the DNA index and the percentage of cells in the various cell cycle phases. Thirty-four samples were DNA diploid tumours, while the other 121 were DNA aneuploid tumours. The DNA index was very stable in different sites and over time in the same patient. Tumour stage and ploidy were significantly associated: stages III and IV tumour stage were more likely to be DNA aneuploid. Patients with residual tumour size at first surgery greater than 2 cm had a significantly larger number of DNA aneuploid than DNA diploid tumours. The DNA index was also related to the degree of differentiation of the tumours. The percentage of cells in the S phase of the cell cycle was significantly higher in DNA aneuploid and in poorly differentiated tumours than DNA diploid and well differentiated tumours. Multivariate analysis using the Cox model showed that the DNA index and the percentage of cells in S phase were not independent prognostic variables in this study. Prospectively collected data should be accumulated before assigning the DNA index an important role as a biological prognostic factor in ovarian cancer. Nature Publishing Group 1989-07 /pmc/articles/PMC2247358/ /pubmed/2803914 Text en https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Article Erba, E. Ubezio, P. Pepe, S. Vaghi, M. Marsoni, S. Torri, W. Mangioni, C. Landoni, F. D'Incalci, M. Flow cytometric analysis of DNA content in human ovarian cancers. |
title | Flow cytometric analysis of DNA content in human ovarian cancers. |
title_full | Flow cytometric analysis of DNA content in human ovarian cancers. |
title_fullStr | Flow cytometric analysis of DNA content in human ovarian cancers. |
title_full_unstemmed | Flow cytometric analysis of DNA content in human ovarian cancers. |
title_short | Flow cytometric analysis of DNA content in human ovarian cancers. |
title_sort | flow cytometric analysis of dna content in human ovarian cancers. |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2247358/ https://www.ncbi.nlm.nih.gov/pubmed/2803914 |
work_keys_str_mv | AT erbae flowcytometricanalysisofdnacontentinhumanovariancancers AT ubeziop flowcytometricanalysisofdnacontentinhumanovariancancers AT pepes flowcytometricanalysisofdnacontentinhumanovariancancers AT vaghim flowcytometricanalysisofdnacontentinhumanovariancancers AT marsonis flowcytometricanalysisofdnacontentinhumanovariancancers AT torriw flowcytometricanalysisofdnacontentinhumanovariancancers AT mangionic flowcytometricanalysisofdnacontentinhumanovariancancers AT landonif flowcytometricanalysisofdnacontentinhumanovariancancers AT dincalcim flowcytometricanalysisofdnacontentinhumanovariancancers |