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An approach to analysis of large-scale correlations between genome changes and clinical endpoints in ovarian cancer.

Publication ,  Journal Article
Suzuki, S; Moore, DH; Ginzinger, DG; Godfrey, TE; Barclay, J; Powell, B; Pinkel, D; Zaloudek, C; Lu, K; Mills, G; Berchuck, A; Gray, JW
Published in: Cancer Res
October 1, 2000

This report describes analyses of associations of genome copy number abnormalities in ovarian cancers with clinical features using genome-wide graphical and analytical procedures. These studies show that tumor grade is a better indicator of the extent of genomic progression than stage, that loss of chromosome 4 occurs preferentially in high-grade tumors, and that gains of 3q26-qter, 8q24-qter, and 20q13-qter occur frequently in low-grade and low-stage tumors and thus may be early events in ovarian cancer development. In addition, loss of chromosome 16q24 and a total number of independent genome copy number aberrations >7 are associated with reduced survival duration. The association of loss of 16q24 (D16S3026) with decreased survival duration was confirmed by quantitative PCR. Regions that frequently are abnormal and associated with altered survival duration are strong candidates for higher resolution analysis and gene discovery and may be useful markers for prediction of clinical outcome.

Duke Scholars

Published In

Cancer Res

ISSN

0008-5472

Publication Date

October 1, 2000

Volume

60

Issue

19

Start / End Page

5382 / 5385

Location

United States

Related Subject Headings

  • Polymerase Chain Reaction
  • Ovarian Neoplasms
  • Oncology & Carcinogenesis
  • Nucleic Acid Hybridization
  • Neoplasm Staging
  • Humans
  • Female
  • Chromosome Aberrations
  • 3211 Oncology and carcinogenesis
  • 3101 Biochemistry and cell biology
 

Citation

APA
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ICMJE
MLA
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Suzuki, S., Moore, D. H., Ginzinger, D. G., Godfrey, T. E., Barclay, J., Powell, B., … Gray, J. W. (2000). An approach to analysis of large-scale correlations between genome changes and clinical endpoints in ovarian cancer. Cancer Res, 60(19), 5382–5385.
Suzuki, S., D. H. Moore, D. G. Ginzinger, T. E. Godfrey, J. Barclay, B. Powell, D. Pinkel, et al. “An approach to analysis of large-scale correlations between genome changes and clinical endpoints in ovarian cancer.Cancer Res 60, no. 19 (October 1, 2000): 5382–85.
Suzuki S, Moore DH, Ginzinger DG, Godfrey TE, Barclay J, Powell B, et al. An approach to analysis of large-scale correlations between genome changes and clinical endpoints in ovarian cancer. Cancer Res. 2000 Oct 1;60(19):5382–5.
Suzuki, S., et al. “An approach to analysis of large-scale correlations between genome changes and clinical endpoints in ovarian cancer.Cancer Res, vol. 60, no. 19, Oct. 2000, pp. 5382–85.
Suzuki S, Moore DH, Ginzinger DG, Godfrey TE, Barclay J, Powell B, Pinkel D, Zaloudek C, Lu K, Mills G, Berchuck A, Gray JW. An approach to analysis of large-scale correlations between genome changes and clinical endpoints in ovarian cancer. Cancer Res. 2000 Oct 1;60(19):5382–5385.

Published In

Cancer Res

ISSN

0008-5472

Publication Date

October 1, 2000

Volume

60

Issue

19

Start / End Page

5382 / 5385

Location

United States

Related Subject Headings

  • Polymerase Chain Reaction
  • Ovarian Neoplasms
  • Oncology & Carcinogenesis
  • Nucleic Acid Hybridization
  • Neoplasm Staging
  • Humans
  • Female
  • Chromosome Aberrations
  • 3211 Oncology and carcinogenesis
  • 3101 Biochemistry and cell biology