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Ploidy analysis of epithelial ovarian cancers using image cytometry.

Publication ,  Journal Article
Berchuck, A; Boente, MP; Kerns, BJ; Kinney, RB; Soper, JT; Clarke-Pearson, DL; Bast, RC; Bacus, SS
Published in: Gynecol Oncol
January 1992

We used a computerized image analysis system to determine the DNA content of 103 epithelial ovarian cancers using touch imprints of frozen tumor samples. Similar to prior studies of ploidy using flow cytometry, we found that most ovarian cancers (78%) were aneuploid while a minority (22%) were diploid. There was no relationship between ploidy and stage, histologic grade, or the ability to perform optimal cytoreductive surgery. Also, like prior studies using flow cytometry, negative second-look laparotomy and survival were somewhat more common in advanced-stage patients with diploid cancers than in those with aneuploid cancers. We conclude that ploidy of ovarian cancers can be determined using a computerized image analysis system to quantitate feulgen staining of cells in touch imprints. Ploidy is unlikely to play a role in treatment planning for patients with advanced-stage disease. Larger studies of patients with early-stage disease are needed, however, to determine whether ploidy is a more accurate means of predicting which patients are most likely to benefit from adjuvant therapy.

Duke Scholars

Published In

Gynecol Oncol

DOI

ISSN

0090-8258

Publication Date

January 1992

Volume

44

Issue

1

Start / End Page

61 / 65

Location

United States

Related Subject Headings

  • Staining and Labeling
  • Ploidies
  • Ovarian Neoplasms
  • Oncology & Carcinogenesis
  • Neoplasm Staging
  • Humans
  • Flow Cytometry
  • Female
  • Diploidy
  • DNA, Neoplasm
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Berchuck, A., Boente, M. P., Kerns, B. J., Kinney, R. B., Soper, J. T., Clarke-Pearson, D. L., … Bacus, S. S. (1992). Ploidy analysis of epithelial ovarian cancers using image cytometry. Gynecol Oncol, 44(1), 61–65. https://doi.org/10.1016/0090-8258(92)90013-9
Berchuck, A., M. P. Boente, B. J. Kerns, R. B. Kinney, J. T. Soper, D. L. Clarke-Pearson, R. C. Bast, and S. S. Bacus. “Ploidy analysis of epithelial ovarian cancers using image cytometry.Gynecol Oncol 44, no. 1 (January 1992): 61–65. https://doi.org/10.1016/0090-8258(92)90013-9.
Berchuck A, Boente MP, Kerns BJ, Kinney RB, Soper JT, Clarke-Pearson DL, et al. Ploidy analysis of epithelial ovarian cancers using image cytometry. Gynecol Oncol. 1992 Jan;44(1):61–5.
Berchuck, A., et al. “Ploidy analysis of epithelial ovarian cancers using image cytometry.Gynecol Oncol, vol. 44, no. 1, Jan. 1992, pp. 61–65. Pubmed, doi:10.1016/0090-8258(92)90013-9.
Berchuck A, Boente MP, Kerns BJ, Kinney RB, Soper JT, Clarke-Pearson DL, Bast RC, Bacus SS. Ploidy analysis of epithelial ovarian cancers using image cytometry. Gynecol Oncol. 1992 Jan;44(1):61–65.
Journal cover image

Published In

Gynecol Oncol

DOI

ISSN

0090-8258

Publication Date

January 1992

Volume

44

Issue

1

Start / End Page

61 / 65

Location

United States

Related Subject Headings

  • Staining and Labeling
  • Ploidies
  • Ovarian Neoplasms
  • Oncology & Carcinogenesis
  • Neoplasm Staging
  • Humans
  • Flow Cytometry
  • Female
  • Diploidy
  • DNA, Neoplasm