Literature DB >> 3334939

Interinstitutional variability in DNA flow cytometric analysis of tumors. The National Cancer Institute's Flow Cytometry Network Experience.

J S Coon1, A D Deitch, R W de Vere White, L G Koss, M R Melamed, J E Reeder, R S Weinstein, R P Wersto, L L Wheeless.   

Abstract

Flow cytometric DNA analysis of human urinary bladder specimens may be clinically useful for prognosis in transitional cell (urothelial) carcinoma and for detecting recurrence after treatment. However, many important methodological differences exist among institutions which have described this technique, and it has not previously been shown that data from different institutions are comparable. The National Cancer Institute has created a Flow Cytometry Network to address the need for technology assessment of flow cytometry. This report describes the independent flow cytometric analysis and interpretation of "unknown" paraffin-embedded bladder tumor specimens by the five Network institutions. Although important differences in method existed among the institutions, substantial agreement was achieved in actual data generated and their interpretation. This suggests that a consensus regarding acceptable laboratory performance of this technique could be reached, which should facilitate its more widespread clinical implementation.

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Year:  1988        PMID: 3334939     DOI: 10.1002/1097-0142(19880101)61:1<126::aid-cncr2820610122>3.0.co;2-5

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  5 in total

1.  Inter-laboratory comparison of DNA flow cytometric results from paraffin-embedded breast carcinomas.

Authors:  O P Kallioniemi; H Joensuu; P Klemi; T Koivula
Journal:  Breast Cancer Res Treat       Date:  1990-11       Impact factor: 4.872

Review 2.  The study of endocrine tumors by flow and image cytometry.

Authors:  Ingrid Zbieranowski; David Murray
Journal:  Endocr Pathol       Date:  1992-06       Impact factor: 3.943

3.  Oncogene protein co-expression. Value of Ha-ras, c-myc, c-fos, and p53 as prognostic discriminants for breast carcinoma.

Authors:  K I Bland; M M Konstadoulakis; M P Vezeridis; H J Wanebo
Journal:  Ann Surg       Date:  1995-06       Impact factor: 12.969

4.  An investigation of different methods of cell cycle analysis by flow cytometry in rectal cancer.

Authors:  N Scott; D Cross; M I Plumb; M F Dixon; P Quirke
Journal:  Br J Cancer       Date:  1992-01       Impact factor: 7.640

5.  Clinical significance of DNA ploidy and S-phase fraction and their relation to p53 protein, c-erbB-2 protein and HCG in operable muscle-invasive bladder cancer.

Authors:  S D Fosså; A A Berner; A B Jacobsen; H Waehre; B Kvarstein; T Urnes; P Ogreid; T E Johansen; J Silde; J M Nesland
Journal:  Br J Cancer       Date:  1993-09       Impact factor: 7.640

  5 in total

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