Literature DB >> 8666364

Interlaboratory reproducibility of semiautomated cell cycle analysis of flow cytometry DNA-histograms obtained from fresh material of 1,295 breast cancer cases.

E Bergers1, R Montironi, P J van Diest, E Prete, J P Baak.   

Abstract

Conflicting prognostic results have been published as to the DNA variables, such as DNA ploidy, DNA index, and % S-phase cells for breast cancer patients. These variables can be obtained by interpreting DNA histograms by cell cycle analysis. Explanations for these conflicting results might be found on the level of the interpretation of the DNA histograms. In a previous study, the semi automated cell cycle analysis computer program MultiCycle (Phoenix Flow Systems, San Diego, CA) showed high intralaboratory reproducibility. However, what types of DNA histograms may cause disagreements was still unclear. The aim of this study was to determine the interlaboratory reproducibility of MultiCycle-based cell cycle analysis of 1,295 flow cytometric DNA histograms derived from fresh frozen breast cancer material and to clarify potential sources of interobserver variation when analyzing DNA histograms. DNA ploidy classification into diploid, hyperdiploid, tetraploid, hypertetraploid, and multiploid showed an interlaboratory agreement of 94% (kappa value = 0.92). The 6% discrepancies (n = 74) were caused by tetraploid peaks, as established in one laboratory, which shifted outside the tetraploid region on reanalysis by the other laboratory (37%), shoulders sometimes interpreted as peaks (24%), small peaks not always recognized as such (24%), fitting failures (10%), and overlooking of tetraploid peaks (5%). Furthermore, the cell cycle analysis variables showed variable reproducibility. The % S-phase cells of the first, second, and third cell cycle showed overall a moderate reproducibility (0.62 < or = R < or = 0.79), but the average % S-phase cells and the average aneuploid % S-phase cells were more reproducible with correlation coefficients of 0.89 and 0.81, respectively. The coefficient of variation of the G0/G1 peak of the first cell cycle, the DNA indices and the % diploid cells were highly reproducible (R > or = 0.94), and the % G2/M-phase cells of the first, second, and third cell cycle were poorly reproducible (0.22 < or = R < or = 0.68). When a cut-point was used at the mean value of 7% for the average % S-phase cells, the number of "threshold discrepancy cases" was 6%. Sources of variation for cell cycle analysis were variations in the debris correction procedures, disagreement about the modes of the aneuploid peaks, disagreement about small peaks, shoulders sometimes interpreted as peaks, and overlooking of tetraploid peaks.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8666364     DOI: 10.1016/s0046-8177(96)90161-6

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  9 in total

Review 1.  Proliferation markers in tumours: interpretation and clinical value.

Authors:  P J van Diest; G Brugal; J P Baak
Journal:  J Clin Pathol       Date:  1998-10       Impact factor: 3.411

2.  Short-term significance of DNA ploidy and cell proliferation in breast carcinoma: a multivariate analysis of prognostic markers in a series of 308 patients.

Authors:  A E Pinto; S André; J Soares
Journal:  J Clin Pathol       Date:  1999-08       Impact factor: 3.411

3.  Prognostic comparative study of S-phase fraction and Ki-67 index in breast carcinoma.

Authors:  A E Pinto; S André; T Pereira; S Nóbrega; J Soares
Journal:  J Clin Pathol       Date:  2001-07       Impact factor: 3.411

4.  Predictors of progression to cancer in Barrett's esophagus: baseline histology and flow cytometry identify low- and high-risk patient subsets.

Authors:  B J Reid; D S Levine; G Longton; P L Blount; P S Rabinovitch
Journal:  Am J Gastroenterol       Date:  2000-07       Impact factor: 10.864

5.  Tumour heterogeneity of DNA cell cycle variables in breast cancer measured by flow cytometry.

Authors:  E Bergers; P J van Diest; J P Baak
Journal:  J Clin Pathol       Date:  1996-11       Impact factor: 3.411

6.  Prognostic relevance of DNA flow cytometry in breast cancer revisited: The 25-year experience of the Portuguese Institute of Oncology of Lisbon.

Authors:  António E Pinto; Teresa Pereira; Giovani L Silva; Saudade André
Journal:  Oncol Lett       Date:  2017-02-13       Impact factor: 2.967

7.  Prognostic significance of proliferative activity, DNA-ploidy, p53 and Ki-ras point mutations in colorectal liver metastases.

Authors:  A Russo; M Migliavacca; V Bazan; N Maturi; V Morello; G Dardanoni; G Modica; P Bazan; I Albanese; M La Farina; R M Tomasino
Journal:  Cell Prolif       Date:  1998 Jun-Aug       Impact factor: 6.831

8.  Comparison of DNA histograms by standard flow cytometry and image cytometry on sections in Barrett's adenocarcinoma.

Authors:  Qin Huang; Chenggong Yu; Xiaoqi Zhang; Raj K Goyal
Journal:  BMC Clin Pathol       Date:  2008-05-30

9.  Deciphering a subgroup of breast carcinomas with putative progression of grade during carcinogenesis revealed by comparative genomic hybridisation (CGH) and immunohistochemistry.

Authors:  E Korsching; J Packeisen; M W Helms; C Kersting; R Voss; P J van Diest; B Brandt; E van der Wall; W Boecker; H Bürger
Journal:  Br J Cancer       Date:  2004-04-05       Impact factor: 7.640

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.