S-phase fraction and breast cancer--a decade of experience
- PMID: 10068083
- DOI: 10.1023/a:1006188512927
S-phase fraction and breast cancer--a decade of experience
Abstract
During the past decade, more than 300 articles, abstracts, and book chapters have been published about S-phase fraction (SPF) determined by DNA flow cytometry and its clinical utility for patients with breast cancer. However, the use of SPF for making treatment decisions for breast cancer patients remains controversial. After reviewing 273 published articles, we conclude: 1) Despite different techniques and cutpoints, correlations between SPF and other prognostic markers are relatively consistent across studies; higher SPF is generally associated with worse tumor grade, absence of steroid receptors, larger tumors, and positive axillary lymph nodes. 2) Higher SPF is generally associated with worse disease-free and overall survival in both univariate and multivariate analyses; SPF values from laboratories that have conducted validation studies can be used, in combination with other factors, to estimate the prognosis of patients with primary breast cancer. 3) There is considerable variability among laboratories regarding assay methodology, cell-cycle analysis techniques, and cutpoints for classifying and interpreting SPF; use of SPF values from different laboratories is problematic, and there remains a need for standardization of these processes and well-designed confirmation studies. We conclude that measurement of SPF does have clinical utility for patients with breast cancer, but standardization and quality control must be improved before it can be routinely used in community settings.
Similar articles
-
S-phase fraction and nuclear size in long term prognosis of patients with breast cancer.Cancer. 1994 Oct 15;74(8):2287-99. doi: 10.1002/1097-0142(19941015)74:8<2287::aid-cncr2820740813>3.0.co;2-y. Cancer. 1994. PMID: 7922981
-
S-phase fraction determined on fine needle aspirates is an independent prognostic factor in breast cancer - a multivariate study of 770 patients.Cytopathology. 2008 Oct;19(5):294-302. doi: 10.1111/j.1365-2303.2007.00528.x. Epub 2007 Dec 7. Cytopathology. 2008. PMID: 18070112
-
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.
-
Prognostic potential of flow cytometric S-phase and ploidy prospectively determined in primary breast carcinomas.Breast Cancer Res Treat. 1992 Jan;20(2):93-108. doi: 10.1007/BF01834639. Breast Cancer Res Treat. 1992. PMID: 1554892
-
Review of proliferative variables and their predictive value.Recent Results Cancer Res. 1993;127:71-6. doi: 10.1007/978-3-642-84745-5_10. Recent Results Cancer Res. 1993. PMID: 8502833 Review. No abstract available.
Cited by
-
Failure of Ploidy and Proliferative Fraction to Predict Long-Term Outcome After Prostatectomy.World J Oncol. 2018 Jun;9(3):69-73. doi: 10.14740/wjon1111w. Epub 2018 Jun 26. World J Oncol. 2018. PMID: 29988804 Free PMC article.
-
Methylation of HIN-1, RASSF1A, RIL and CDH13 in breast cancer is associated with clinical characteristics, but only RASSF1A methylation is associated with outcome.BMC Cancer. 2012 Jun 13;12:243. doi: 10.1186/1471-2407-12-243. BMC Cancer. 2012. PMID: 22695491 Free PMC article.
-
Predicting metastasis in breast cancer: comparing a decision tree with domain experts.J Med Syst. 2007 Aug;31(4):263-73. doi: 10.1007/s10916-007-9064-1. J Med Syst. 2007. PMID: 17685150
-
Progesterone and breast cancer.Womens Health (Lond). 2008 Mar;4(2):151-62. doi: 10.2217/17455057.4.2.151. Womens Health (Lond). 2008. PMID: 19072517 Free PMC article. Review.
-
Epidermal growth factor receptor expression in breast cancer association with biologic phenotype and clinical outcomes.Cancer. 2010 Mar 1;116(5):1234-42. doi: 10.1002/cncr.24816. Cancer. 2010. PMID: 20082448 Free PMC article.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Medical
Miscellaneous