Home LiteratureArticle Details
PMID: 10922407 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Short-term breast cancer prediction by random periareolar fine-needle aspiration cytology and the Gail risk model.

Journal of the National Cancer Institute ·Vol. 92 ·No. 15 ·2000-08-02 ·Pages 1217-27

Fabian CJ, Kimler BF, Zalles CM, Klemp JR, Kamel S, Zeiger S, Mayo MS

Abstract

: Biomarkers are needed to refine short-term breast cancer risk estimates from epidemiologic models and to measure response to prevention interventions. The purpose of our study was to determine whether the cytologic appearance of epithelial cells obtained from breast random periareolar fine-needle aspirates or molecular marker expression in these cells was associated with later breast cancer development. : Four hundred eighty women who were eligible on the basis of a family history of breast cancer, prior precancerous biopsy, and/or prior invasive cancer were enrolled in a single-institution, prospective trial. Their risk of breast cancer according to the Gail model was calculated, and random periareolar fine-needle aspiration was performed at study entry. Cells were characterized morphologically and analyzed for DNA aneuploidy by image analysis and for the expression of epidermal growth factor receptor, estrogen receptor, p53 protein, and HER2/NEU protein by immunocytochemistry. All statistical tests are two-sided. : At a median follow-up time of 45 months after initial aspiration, 20 women have developed breast cancer (invasive disease in 13 and ductal carcinoma in situ in seven). With the use of multiple logistic regression and Cox proportional hazards analysis, subsequent cancer was predicted by evidence of hyperplasia with atypia in the initial fine-needle aspirate and a 10-year Gail projected probability of developing breast cancer. Although expression of epidermal growth factor receptor, estrogen receptor, p53, and HER2/NEU was statistically significantly associated with hyperplasia with atypia, it did not predict the development of breast cancer in multivariable analysis. : Cytomorphology from breast random periareolar fine-needle aspirates can be used with the Gail risk model to identify a cohort of women at very high short-term risk for developing breast cancer. We recommend that cytomorphology be studied for use as a potential surrogate end point in prevention trials.

MeSH Terms
Adult Biomarkers, Tumor/analysis Biopsy, Needle/methods Breast/pathology Breast Neoplasms/chemistry,diagnosis,pathology,prevention & control Cell Transformation, Neoplastic/chemistry,pathology Female Humans Hyperplasia/pathology Logistic Models Mass Screening/methods Middle Aged Models, Biological Models, Statistical Nipples/chemistry,pathology Predictive Value of Tests Proportional Hazards Models Risk Time Factors
Chemicals
Biomarkers, Tumor
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Fabian C J
Division of Clinical Oncology, Department of Internal Medicine, University of Kansas Medical Center, Kansas City 66160-7820, USA. cfabian@kumc.edu
Kimler B F
Zalles C M
Klemp J R
Kamel S
Zeiger S
Mayo M S
Article Info
Journal
Journal of the National Cancer Institute
Abbr.
J Natl Cancer Inst
ISSN
0027-8874
Published
2000-08-02
Pages
1217-27
Language
English
Region
United States
NLM ID
7503089
Subset
IM
Corrections
CommentIn
CommentIn
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com