A Suitable Method for Identifying Cell Aggregates in Laser Scanning Cytometry Listmode Data for Analyzing Disaggregated Cell Suspensions Obtained from Human Cancers

Cytometry Part B - Clinical Cytometry

Volumn 59, Issue 1, 2004, Pages 10-23

  Shackney, Stanley E ^a   Smith, Charles A ^a   Pollice, Agnese A ^a   Brown, Kathryn ^a   Kosiban, Deborah ^a  

^a ALLEGHENY GENERAL HOSPITAL   (United States)

Author keywords

Cell aggregates; Cell suspensions; Cell texture; Laser scanning cytometry; Nuclear area; Nuclear perimeter

Indexed keywords

CELL DNA;

ALGORITHM; ARTICLE; BREAST CANCER; CELL AGGREGATION; CELL CYCLE; CELL NUCLEUS; CELL SUSPENSION; CYTOMETRY; DNA CONTENT; FLOW CYTOMETRY; HUMAN; HUMAN CELL; LASER SCANNING CYTOMETRY; LYMPHOCYTE; MATHEMATICAL MODEL; PRIORITY JOURNAL;

EID: 2342537806     PISSN: 15524949     EISSN: None     Source Type: Journal    
DOI: 10.1002/cyto.b.20009     Document Type: Article

References (16)

1. Bagwell C. Theoretical aspects of flow cytometry data analysis. In: Bauer K, Duque R, Shankey T, editors. Clinical flow cytometry. Baltimore: Williams and Wilkins; 1993. p 41-61.
2. Rabinovitch P. Practical considerations for DNA content and cell cycle analysis. In: Bauer K, Duque R, Shankey T, editors. Clinical flow cytometry. Baltimore: Williams and Wilkins; 1993. p 117-142.
3. Shankey TV, Rabinovitch PS, Bagwell B, Bauer KD, Duque RE, Hedley DW, et al. Guidelines for implementation of clinical DNA cytometry. International Society for Analytical Cytology. Cytometry 1993;14:472-477.
4. Rabinovitch PS. DNA content histogram and cell-cycle analysis. Methods Cell Biol 1994;41:263-296.
5. Heiden T, Castro J, Graf BM, Tribukait B. Comparison of routine flow cytometric DNA analysis of fresh tissues in two laboratories: effects of differences in preparation methods and background models of cell cycle calculation. Cytometry 1998;34:187-197.
6. Wersto RP, Chrest FJ, Leary JF, Morris C, Stetler-Stevenson MA, Gabrielson E. Doublet discrimination in DNA cell-cycle analysis. Cytometry 2001;46:296-306.
7. Shackney SE, Pollice AA, Smith CA, Alston L, Singh SG, Janocko LE, et al. The accumulation of multiple genetic abnormalities in individual tumor cells in human breast cancers: clinical prognostic implications. Cancer J Sci Am 1996;2:106.
8. Martin-Reay DG, Kamentsky LA, Weinberg DS, Hollister KA, Cibas ES. Evaluation of a new slide-based laser scanning cytometer for DNA analysis of tumors. Comparison with flow cytometry and image analysis. Am J Clin Pathol 1994;102:432-438.
9. Kamentsky LA, Burger DE, Gershman RJ, Kamentsky LD, Luther E. Slide-based laser scanning cytometry. Acta Cytol 1997;41:123-143.
10. Rew DA, Reeve LJ, Wilson GD. Comparison of flow and laser scanning cytometry for the assay of cell proliferation in human solid tumors. Cytometry 1998;33:355-361.
11. Tarnok A, Gerstner AO. Clinical applications of laser scanning cytometry. Cytometry 2002;50:133-143.
12. Pollice AA, McCoy JP Jr, Shackney SE, Smith CA, Agarwal J, Burholt DR, Janocko LE, Hornicek FJ, Singh SG, Hartsock RJ. Sequential paraformaldehyde and methanol fixation for simultaneous flow cytometric analysis of DNA, cell surface proteins, and intracellular proteins. Cytometry 1992;13:432-444.
13. Baldetorp B, Bendahl PO, Ferno M, Alanen K, Delle U, Falkmer U, Hansson-Aggesjo B, Hockenstrom T, Lindgren A, Mossberg L. Reproducibility in DNA flow cytometric analysis of breast cancer: comparison of 12 laboratories' results for 67 sample homogenates. Cytometry 1995;22:115-127.
14. Bergers E, Montironi R, van Diest PJ, Prete E, Baak JP. Interlaboratory reproducibility of semiautomated cell cycle analysis of flow cytometry DNA-histograms obtained from fresh material of 1,295 breast cancer cases. Hum Pathol 1996;27:553-560.
15. Steele G. Basic theory of growing cell populations. In: Steele G, editor. Growth kinetics of tumours. Oxford: Clarendon Press; 1977. p 56-85.
16. Shackney S, Smith C, Pollice A, Brown K, Day R, Julian T, Silverman JF. Intracellular patterns of Her-2/neu, ras, and ploidy abnormalities in primary human breast cancers predict clinical disease free survival. Clin Cancer Res 2004 (in press).