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DNA Analysis by Flow Cytometry in Early Gastric Cancer
OBJECTIVES: Flow cytometric analysis of a paraffin-embedded block of tissue provides rapid and accurate means of analyzing the DNA content of a tumor. The aim of this study was to clarify the clinical significance of flow cytometric findings in early gastric cancer (EGC). Thus we conducted this stud...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Association of Internal Medicine
1997
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4531996/ https://www.ncbi.nlm.nih.gov/pubmed/9439148 http://dx.doi.org/10.3904/kjim.1997.12.2.137 |
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author | Kim, Jun Myeong Lee, Dong Ki Kim, Young Kyung Baik, Soon Koo Lee, Chong In Kwon, Sang Ok Jung, Soon-Hee |
author_facet | Kim, Jun Myeong Lee, Dong Ki Kim, Young Kyung Baik, Soon Koo Lee, Chong In Kwon, Sang Ok Jung, Soon-Hee |
author_sort | Kim, Jun Myeong |
collection | PubMed |
description | OBJECTIVES: Flow cytometric analysis of a paraffin-embedded block of tissue provides rapid and accurate means of analyzing the DNA content of a tumor. The aim of this study was to clarify the clinical significance of flow cytometric findings in early gastric cancer (EGC). Thus we conducted this study to investigate whether DNA contents of tumor cells can correlate with known prognostic indices in patients with EGC. METHODS: The flow cytometric DNA analysis was performed with paraffin-embedded specimens from tumors of 107 patients with EGC. Flow cytometric analysis was perfomed using a FACScan (Becton Dickinson). In constructing the histogram, 30,000 cells were scanned from each section and results were scored. The S-phase fraction was obtained according to the CellFit cell cycle analysis (Becton Dikinson). Frequencies of aneuploidy in tumors with various clinical and pathologic parameters were compared using the chi-square test. Mean SPF/PI valuse were compared by the student t-test. RESULTS: Diploidy pattern was observed in 80 (75%) cases while aneuploidy was seen in 27 (25%) cases. Aneuploidy was more frequently detected in tumors with submucosal involvement (32.7%) and lymph node (+) group (30.8%) than in the mucosal tumor (17.3%) and lymph node (−) group (24.5%), but the differences were not significant. Frequency of aneuploidy was not affected by either the histologic type or morphologic clssification. On the other hand, high proliferative activities (SPF/PI) significantly correlated with the submucosal tumor invasion (66.7% vs. 45%: p<0.05) and lymph node metastasis (28.6% vs. 7.5%: p<0.05). CONCLUSION: Tumor aggressiveness is not directly related to DNA aneuploidy but proliferative activities are responsible for the aggressive nature of early gastric cancer. The results of this study show that DNA analysis by flow cytometry in considered to be one method of determining the biological activity of gastric cancer cells. |
format | Online Article Text |
id | pubmed-4531996 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1997 |
publisher | Korean Association of Internal Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-45319962015-10-02 DNA Analysis by Flow Cytometry in Early Gastric Cancer Kim, Jun Myeong Lee, Dong Ki Kim, Young Kyung Baik, Soon Koo Lee, Chong In Kwon, Sang Ok Jung, Soon-Hee Korean J Intern Med Original Article OBJECTIVES: Flow cytometric analysis of a paraffin-embedded block of tissue provides rapid and accurate means of analyzing the DNA content of a tumor. The aim of this study was to clarify the clinical significance of flow cytometric findings in early gastric cancer (EGC). Thus we conducted this study to investigate whether DNA contents of tumor cells can correlate with known prognostic indices in patients with EGC. METHODS: The flow cytometric DNA analysis was performed with paraffin-embedded specimens from tumors of 107 patients with EGC. Flow cytometric analysis was perfomed using a FACScan (Becton Dickinson). In constructing the histogram, 30,000 cells were scanned from each section and results were scored. The S-phase fraction was obtained according to the CellFit cell cycle analysis (Becton Dikinson). Frequencies of aneuploidy in tumors with various clinical and pathologic parameters were compared using the chi-square test. Mean SPF/PI valuse were compared by the student t-test. RESULTS: Diploidy pattern was observed in 80 (75%) cases while aneuploidy was seen in 27 (25%) cases. Aneuploidy was more frequently detected in tumors with submucosal involvement (32.7%) and lymph node (+) group (30.8%) than in the mucosal tumor (17.3%) and lymph node (−) group (24.5%), but the differences were not significant. Frequency of aneuploidy was not affected by either the histologic type or morphologic clssification. On the other hand, high proliferative activities (SPF/PI) significantly correlated with the submucosal tumor invasion (66.7% vs. 45%: p<0.05) and lymph node metastasis (28.6% vs. 7.5%: p<0.05). CONCLUSION: Tumor aggressiveness is not directly related to DNA aneuploidy but proliferative activities are responsible for the aggressive nature of early gastric cancer. The results of this study show that DNA analysis by flow cytometry in considered to be one method of determining the biological activity of gastric cancer cells. Korean Association of Internal Medicine 1997-06 /pmc/articles/PMC4531996/ /pubmed/9439148 http://dx.doi.org/10.3904/kjim.1997.12.2.137 Text en Copyright © 1997 The Korean Association of Internal Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Kim, Jun Myeong Lee, Dong Ki Kim, Young Kyung Baik, Soon Koo Lee, Chong In Kwon, Sang Ok Jung, Soon-Hee DNA Analysis by Flow Cytometry in Early Gastric Cancer |
title | DNA Analysis by Flow Cytometry in Early Gastric Cancer |
title_full | DNA Analysis by Flow Cytometry in Early Gastric Cancer |
title_fullStr | DNA Analysis by Flow Cytometry in Early Gastric Cancer |
title_full_unstemmed | DNA Analysis by Flow Cytometry in Early Gastric Cancer |
title_short | DNA Analysis by Flow Cytometry in Early Gastric Cancer |
title_sort | dna analysis by flow cytometry in early gastric cancer |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4531996/ https://www.ncbi.nlm.nih.gov/pubmed/9439148 http://dx.doi.org/10.3904/kjim.1997.12.2.137 |
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