BREAST-CANCER DURING PREGNANCY - QUANTIFYING THE RISK OF TREATMENT DELAY

Citation
J. Nettleton et al., BREAST-CANCER DURING PREGNANCY - QUANTIFYING THE RISK OF TREATMENT DELAY, Obstetrics and gynecology, 87(3), 1996, pp. 414-418
Citations number
22
Categorie Soggetti
Obsetric & Gynecology
Journal title
ISSN journal
00297844
Volume
87
Issue
3
Year of publication
1996
Pages
414 - 418
Database
ISI
SICI code
0029-7844(1996)87:3<414:BDP-QT>2.0.ZU;2-2
Abstract
Objective: To quantify the risk of axillary nodal metastases due to de layed treatment of breast cancer during pregnancy. Methods: A mathemat ical model using recently published data was developed to correlate pr imary breast tumor size with the percentage of pathologically positive axillary lymph nodes. Using this relationship obtained from pathologi c data and the accepted relationship of tumor growth and time, Y-2 = Y (1)e((ln2)n/DT), an equation estimating the increased risk of axillary metastases due to each day of treatment delay was derived: Delta X = 3.7 n/DT, where X = percent positive axillary lymph nodes, n = number of days delay in treatment, and DT = tumor doubling time. Results: A 1 -month delay in treatment for an early-stage primary breast cancer wit h a 136-day doubling time increases the risk of axillary lymph node in volvement by 0.9%. A 3-month delay increases the risk by 2.6% and a 6- month delay by 5.1%. For breast cancer with a 65-day doubling time, a 1-month delay increase the risk by 1.8%, a 3-month delay by 5.2%, and a 6-month delay by 10.2%. Conclusion: Axillary lymph nodes are the mos t important prognostic indicator for survival in breast cancer. Our ma thematical model suggests the daily increased risk bf axillary metasta ses due to treatment delay is 0.028% for tumors with moderate doubling times of 130 days and 0.057% for tumors with rapid doubling times of 65 days. This minimal maternal risk may be acceptable to some third-tr imester pregnant women with early breast cancer, who prefer organ-spar ing treatment with radiation after delivery to a mastectomy during pre gnancy. This model further quantitates the increased risk of mortality borne by pregnant women whose breast cancer diagnosis is delayed.