Prognostic significance of DNA image cytometry in Libyan breast cancer
- PMID: 22906963
- DOI: 10.1159/000339788
Prognostic significance of DNA image cytometry in Libyan breast cancer
Abstract
Background: We evaluated the relation of nuclear DNA content and clinicopathological features and prognosis in primary breast cancer of female Libyan patients with variable stage and grade and different treatment regimes.
Patients and methods: Histological samples from 104 patients of breast carcinoma were retrospectively studied by computerized nuclear DNA cytometry. Isolated nuclei from paraffin sections were stained with Feulgen stain and DNA was measured using a computer-assisted image analysis cytometry system. In each case, 200 nuclei were measured and the DNA histograms, S phase fraction (SPF) and number of cells above 5c and 9c were determined. We applied different approaches in the analysis of DNA to compare the DNA histograms with different clinicopathological features and survival.
Results: The mean of DNA ploidy mode for all tumors was 3.43; 82.7% of tumors were aneuploid and 17.3% were diploid. The median SPF was 3.5% for DNA diploid and 13.5% for DNA aneuploid tumors. DNA aneuploid tumors and high SPF were associated with advanced stage, distant metastasis, high histological grade and lymph node involvement. The SPF was also associated with large tumor size and with younger patients (<50 years). In the overall population (median follow-up 51 months), patients with aneuploid DNA histograms and high SPF values had shorter survival times than those with diploid DNA histograms and low SPF values (p = 0.001, p < 0.0001, respectively). Also, short survival was associated with a multiploid DNA histogram and with DNA aneuploid cells ≥5 cells (p < 0.0001, p = 0.001, respectively). In a Cox multivariate analysis, DNA ploidy (p = 0.010), age (p = 0.038) and clinical stage (p = 0.001) were independent predictors of overall survival, and DNA ploidy (p = 0.018) and clinical stage (p = 0.001) also proved to be independent predictors of disease-specific survival. The SPF cutoff point of 11% might be applied to separate patients into good and poor prognosis groups.
Conclusions: DNA image cytometry with careful analysis of the histograms may provide valuable prognostic information in Libyan breast cancer, with potential clinical implications in patient management, particularly in predicting the patients at high risk for metastasis and recurrence who should be considered as candidates for combined adjuvant therapy.
Copyright © 2012 S. Karger AG, Basel.
Similar articles
-
[Combined flow cytometry determination of S-phase fraction and DNA ploidy is an independent prognostic factor in node-negative invasive breast carcinoma: review of a series of 271 patients with stage I and II breast cancer].Cancer Radiother. 2005 Dec;9(8):575-86. doi: 10.1016/j.canrad.2005.09.016. Epub 2005 Oct 20. Cancer Radiother. 2005. PMID: 16243560 French.
-
Combined flow cytometry determination of S-phase fraction and DNA ploidy is an independent prognostic factor in node-negative invasive breast carcinoma: analysis of a series of 271 patients with stage I and II breast cancer.Breast Cancer Res Treat. 2005 May;91(1):61-71. doi: 10.1007/s10549-004-7047-1. Breast Cancer Res Treat. 2005. PMID: 15868432
-
DNA image cytometry predicts disease outcome in stage II colorectal carcinoma.Anticancer Res. 2009 Jan;29(1):99-106. Anticancer Res. 2009. PMID: 19331138
-
Prognostic significance of morphological parameters and flow cytometric DNA analysis in carcinoma of the breast.Pathol Annu. 1990;25 Pt 1:171-210. Pathol Annu. 1990. PMID: 2153277 Review.
-
Practical breast carcinoma cell kinetics: review and update.Breast Cancer Res Treat. 1984;4(2):79-88. doi: 10.1007/BF01806389. Breast Cancer Res Treat. 1984. PMID: 6378283 Review.
Cited by
-
Prognostic value of bcl-2 expression among women with breast cancer in Libya.Tumour Biol. 2013 Jun;34(3):1569-78. doi: 10.1007/s13277-013-0687-1. Epub 2013 Feb 16. Tumour Biol. 2013. PMID: 23417836
-
Proliferative activity in Libyan breast cancer with comparison to European and Central African patients.Biomed Res Int. 2013;2013:831714. doi: 10.1155/2013/831714. Epub 2013 Sep 11. Biomed Res Int. 2013. PMID: 24106717 Free PMC article.
-
Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer.Clin Cancer Res. 2020 Sep 1;26(17):4606-4615. doi: 10.1158/1078-0432.CCR-20-0566. Epub 2020 Jun 10. Clin Cancer Res. 2020. PMID: 32522886 Free PMC article.
-
High fibroblast growth factor 19 (FGF19) expression predicts worse prognosis in invasive ductal carcinoma of breast.Tumour Biol. 2014 Mar;35(3):2817-24. doi: 10.1007/s13277-013-1374-y. Epub 2013 Nov 19. Tumour Biol. 2014. PMID: 24248542
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical