Genetic Staging of Breast Cancers for Adjuvant Therapy. The overall objectives of this study are to elucidate the genetic processes that underlie the growth and clinical progression of human breast cancers, in order to provide a sound biological basis for the selection of patients with early clinical disease who are at high risk for recurrence, and who might benefit from adjuvant therapy. We will examine the interrelationship between HER-2/neu and H-ras amplification/overexpression, and the relationship between oncogene overexpression and flow cytometric aneuploidy.
Our specific aims are: 1) to compare the sensitivity of detection of HER-2/neu and H-ras overexpression in early breast cancer by flow cytometry and by conventional molecular genetic techniques; 2) to determine if the number of genetic abnormalities, or their cellular distribution (multiple oncogenes expressed in the same cells or in different cells) are of biological and clinical importance, 3) to examine the degree of oncogene overexpression per cell in relation to tumor aggressiveness, and to determine if high levels of HER-2/neu and H-ras overexpression are due to, increased oncogene-bearing chromosome copy numbers per cell, and 4) to determine if oncogene overexpression occurs preferentially in aneuploid cells by means of multiparameter flow cytometry. The application of conventional molecular genetic techniques, multiparameter flow cytometry, and chromosome-specific probe studies to cells from the same tumors should provide a comprehensive view of the genetic evolutionary changes in breast cancer. A provisional staging system is proposed, .that is based on the degree of genetic evolution found in the primary tumor. The clinical validity of this staging system, and, in particular, its usefulness in identifying those patients with ostensibly early clinical disease who are most likely to benefit from adjuvant therapy will be assessed in relation to clinical tumor aggressiveness, as determined by long-term clinical followup studies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA055230-03
Application #
3199706
Study Section
Experimental Therapeutics Subcommittee 1 (ET)
Project Start
1991-07-01
Project End
1994-06-30
Budget Start
1993-07-16
Budget End
1994-06-30
Support Year
3
Fiscal Year
1993
Total Cost
Indirect Cost
Name
Allegheny-Singer Research Institute
Department
Type
DUNS #
033098401
City
Pittsburgh
State
PA
Country
United States
Zip Code
15212
Shackney, Stanley E; Smith, Charles A; Pollice, Agnese et al. (2004) Intracellular patterns of Her-2/neu, ras, and ploidy abnormalities in primary human breast cancers predict postoperative clinical disease-free survival. Clin Cancer Res 10:3042-52
Stewart, Carleton C; Goolsby, Charles; Shackney, Stanley E (2002) Emerging technology and future developments in flow cytometry. Hematol Oncol Clin North Am 16:477-95, vii-viii
Smith, C A; Pollice, A A; Gu, L P et al. (2000) Correlations among p53, Her-2/neu, and ras overexpression and aneuploidy by multiparameter flow cytometry in human breast cancer: evidence for a common phenotypic evolutionary pattern in infiltrating ductal carcinomas. Clin Cancer Res 6:112-26
Shackney, S E; Shankey, T V (1999) Cell cycle models for molecular biology and molecular oncology: exploring new dimensions. Cytometry 35:97-116
Shackney, S E; Pollice, A A; Smith, C A et al. (1998) Intracellular coexpression of epidermal growth factor receptor, Her-2/neu, and p21ras in human breast cancers: evidence for the existence of distinctive patterns of genetic evolution that are common to tumors from different patients. Clin Cancer Res 4:913-28
Shackney, S E; Shankey, T V (1997) Common patterns of genetic evolution in human solid tumors. Cytometry 29:1-27
Shackney, S E; Pollice, A A; Smith, C A et al. (1996) The accumulation of multiple genetic abnormalities in individual tumor cells in human breast cancers: clinical prognostic implications. Cancer J Sci Am 2:106-13
Rohloff, A C; Sakach, J M; Shackney, S E (1995) Analytical approaches relating genetic evolutionary pathways to prognostic factors. Cytometry 21:23-9
Shackney, S E; Smith, C A; Pollice, A A et al. (1995) Preferred genetic evolutionary sequences in human breast cancer: a case study. Cytometry 21:6-13
Shackney, S E; Singh, S G; Yakulis, R et al. (1995) Aneuploidy in breast cancer: a fluorescence in situ hybridization study. Cytometry 22:282-91

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