Literature DB >> 3652035

Evaluation of a modeling system for S-phase estimation in breast cancer by flow cytometry.

L G Dressler1, L Seamer, M A Owens, G M Clark, W L McGuire.   

Abstract

Using software programs provided by Coulter Electronics, we have developed an analysis system that would address problems encountered in DNA flow cytometric analysis of heterogeneous solid tumor populations, especially where the G2-M phase of the diploid population contaminates the S-phase of the aneuploid population, causing an overestimation of cells in S phase. We used the PARA 1 and PARA 2 programs in concert and developed three analysis models: (a) for euploid tumors; (b) for hyperdiploid tumors with overlapping populations; and (c) for near-diploid aneuploid tumors. Our purpose in this paper is to determine the limits and reproducibility of this analysis system with an emphasis on tumors with overlapping populations. Aliquots of frozen, pulverized breast tumor tissue (50 to 100 mg), routinely used in the steroid receptor assay, were used for routine flow cytometric measurement of the DNA index and S-phase fraction. To determine the accuracy of the analysis when overlapping populations were present, we mixed an aneuploid breast cancer cell line with human blood lymphocytes in varying ratios. A 10% mixture of aneuploid cells, the lowest mixture tested, still allowed analysis results within 95% confidence limits. Reproducibility of the system was assessed on frozen breast tumor tissue by intra- and interassay variation studies measuring cell cycle parameters and coefficient of variation of the G0-G1 peak width. Within any sample the amount of variation (+/- 2 SD) for the G0-G1 value was +/- 4.40 for intraassay and +/- 4.60 for interassay, and the amount of variation for S phase was +/- 3.0 and +/- 3.2 for intraassay and interassay, respectively. There was no difference in the variation of estimates for G2-M (+/- 2.6 for both intra- and interassay). In this study, the coefficient of variation of the G0-G1 peak greater than 5% was defined as unacceptable for accurate analysis, with the conclusion that S-phase fractions in aneuploid tumors can be routinely analyzed in human breast tumor biopsies despite tumor cell heterogeneity.

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Year:  1987        PMID: 3652035

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  9 in total

1.  Progesterone antagonists block the growth of experimental mammary tumors in G0/G1.

Authors:  H Michna; M Schneider; Y Nishino; M F el Etreby; W L McGuire
Journal:  Breast Cancer Res Treat       Date:  1990-12       Impact factor: 4.872

2.  Prognostic potential of flow cytometric S-phase and ploidy prospectively determined in primary breast carcinomas.

Authors:  S B Ewers; R Attewell; B Baldetorp; A Borg; E Långström; D Killander
Journal:  Breast Cancer Res Treat       Date:  1992-01       Impact factor: 4.872

3.  A flow cytometric bromodeoxyuridine/DNA analysis for cytokinetics of the pancreatic cancer cell line Capan-2 after irradiation.

Authors:  B Nakata; Y S Chung; M Sowa
Journal:  Surg Today       Date:  1993       Impact factor: 2.549

4.  Potential tumour doubling time: determination of Tpot for various canine and feline tumours.

Authors:  U Schwyn; N E Crompton; H Blattmann; B Hauser; B Klink; A Parvis; D Ruslander; B Kaser-Hotz
Journal:  Vet Res Commun       Date:  1998-06       Impact factor: 2.459

5.  DNA ploidy, S-phase, and steroid receptors in more than 127,000 breast cancer patients.

Authors:  C R Wenger; S Beardslee; M A Owens; G Pounds; T Oldaker; P Vendely; M R Pandian; D Harrington; G M Clark; W L McGuire
Journal:  Breast Cancer Res Treat       Date:  1993-10       Impact factor: 4.872

6.  Prediction of relapse or survival after resection in human hepatomas by DNA flow cytometry.

Authors:  J H Chiu; H L Kao; L H Wu; H M Chang; W Y Lui
Journal:  J Clin Invest       Date:  1992-02       Impact factor: 14.808

7.  Assessment of Ki67 in breast cancer: recommendations from the International Ki67 in Breast Cancer working group.

Authors:  Mitch Dowsett; Torsten O Nielsen; Roger A'Hern; John Bartlett; R Charles Coombes; Jack Cuzick; Matthew Ellis; N Lynn Henry; Judith C Hugh; Tracy Lively; Lisa McShane; Soon Paik; Frederique Penault-Llorca; Ljudmila Prudkin; Meredith Regan; Janine Salter; Christos Sotiriou; Ian E Smith; Giuseppe Viale; Jo Anne Zujewski; Daniel F Hayes
Journal:  J Natl Cancer Inst       Date:  2011-09-29       Impact factor: 13.506

8.  Molecular profile and copy number analysis of sporadic colorectal cancer in Taiwan.

Authors:  Chien-Hsing Lin; Jen-Kou Lin; Shih-Ching Chang; Ya-Hui Chang; Hwey-May Chang; Jin-Hwang Liu; Ling-Hui Li; Yuan-Tsong Chen; Shih-Feng Tsai; Wei-Shone Chen
Journal:  J Biomed Sci       Date:  2011-06-07       Impact factor: 8.410

9.  Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group.

Authors:  Torsten O Nielsen; Samuel C Y Leung; David L Rimm; Andrew Dodson; Balazs Acs; Sunil Badve; Carsten Denkert; Matthew J Ellis; Susan Fineberg; Margaret Flowers; Hans H Kreipe; Anne-Vibeke Laenkholm; Hongchao Pan; Frédérique M Penault-Llorca; Mei-Yin Polley; Roberto Salgado; Ian E Smith; Tomoharu Sugie; John M S Bartlett; Lisa M McShane; Mitch Dowsett; Daniel F Hayes
Journal:  J Natl Cancer Inst       Date:  2021-07-01       Impact factor: 13.506

  9 in total

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